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	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">bbr</journal-id>
			<journal-title-group>
				<journal-title>BBR. Brazilian Business Review</journal-title>
				<abbrev-journal-title abbrev-type="publisher">BBR, Braz. Bus. Rev.</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="ppub">1808-2386</issn>
			<issn pub-type="epub">1807-734X</issn>
			<publisher>
				<publisher-name>Fucape Business School</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="doi">10.15728/bbr.2020.17.3.6</article-id>
			<article-id pub-id-type="publisher-id">00006</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Article</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Accounting Conservatism and National Culture</article-title>
				<trans-title-group xml:lang="pt">
					<trans-title>Conservadorismo Contábil e Cultura Nacional</trans-title>
				</trans-title-group>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-4428-7010</contrib-id>
					<name>
						<surname>Wronski</surname>
						<given-names>Pollyanna Gracy</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-3498-0938</contrib-id>
					<name>
						<surname>Klann</surname>
						<given-names>Roberto Carlos</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
			</contrib-group>
			<aff id="aff1">
				<label>1</label>
				<institution content-type="original">Centro de Ensino Superior de Realeza, Realeza, PR, Brasil</institution>
				<institution content-type="orgname">Centro de Ensino Superior de Realeza</institution>
				<addr-line>
					<named-content content-type="city">Realeza</named-content>
					<named-content content-type="state">PR</named-content>
				</addr-line>
				<country country="BR">Brasil</country>
			</aff>
			<aff id="aff2">
				<label>2</label>
				<institution content-type="original">Universidade Regional de Blumenau, Blumenau, SC, Brasil</institution>
				<institution content-type="orgname">Universidade Regional de Blumenau</institution>
				<addr-line>
					<named-content content-type="city">Blumenau</named-content>
					<named-content content-type="state">SC</named-content>
				</addr-line>
				<country country="BR">Brasil</country>
			</aff>
			<author-notes>
				<corresp id="c1">
					<email>falecomapolly@hotmail.com</email>
				</corresp>
				<corresp id="c2">
					<email>rklann@furb.br</email>
				</corresp>
			</author-notes>
			<!--pub-date date-type="pub" publication-format="electronic">
				<day>20</day>
				<month>05</month>
				<year>2020</year>
			</pub-date>
			<pub-date date-type="collection" publication-format="electronic"!-->
			<pub-date pub-type="epub-ppub">
                <season>May-Jun</season>
				<year>2020</year>
			</pub-date>
			<volume>17</volume>
			<issue>3</issue>
			<fpage>344</fpage>
			<lpage>361</lpage>
			<history>
				<date date-type="received">
					<day>18</day>
					<month>01</month>
					<year>2019</year>
				</date>
				<date date-type="rev-recd">
					<day>20</day>
					<month>05</month>
					<year>2019</year>
				</date>
				<date date-type="accepted">
					<day>26</day>
					<month>09</month>
					<year>2019</year>
				</date>
                 <date date-type="pub">
					<day>20</day>
					<month>04</month>
					<year>2020</year>
				</date>
			</history>
			<permissions>
				<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
					<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License</license-p>
				</license>
			</permissions>
			<abstract>
				<title>ABSTRACT</title>
				<p>The following study intends to evaluate the influence of Hofstede’s cultural dimension (2017) on a corporation from several countries’ accounting conservatism scale. Based on Thomson <italic>Reuters’</italic> data and a final sample of 54,484 observations (32 countries), the analysis was made over a period from 2010 to 2016 and was based off on Ball and Shivakumar’s work (2005) in measuring accounting conservatism. When analyzing each cultural dimension individually, it was noted that companies from countries that have an individualistic culture would engage in bad accounting conservatism, while companies with a long term orientation exhibited the opposite attitude, according to the survey’s scenario. In general, the conclusion is that the national culture can impact accounting information quality, impacting on a larger or lesser extent for accounting conservatism. One of the main contributions of this study is the comprehension that the intrinsic cultural factors of each nation can influence the quality of the accounting information. </p>
			</abstract>
			<trans-abstract xml:lang="pt">
				<title>RESUMO</title>
				<p>O presente estudo teve como objetivo avaliar a influência das dimensões culturais de Hofstede (2017) no nível de conservadorismo contábil de empresas de diferentes países. Com base em dados da <italic>Thomson Reuters</italic> e uma amostra final de 54.484 observações (32 países), a análise compreendeu o período de 2010 a 2016 e fez uso do modelo de Ball e Shivakumar (2005) para mensurar o conservadorismo contábil. Quando analisada cada dimensão cultural individualmente, foi observado que empresas de países com cultura mais individualista relacionaram-se negativamente com o conservadorismo contábil, enquanto países com orientação ao longo prazo apresentaram comportamento oposto, conforme as hipóteses de pesquisa. De maneira geral, conclui-se que a cultura nacional pode impactar a qualidade das informações contábeis, influenciando para um maior ou menor grau de conservadorismo contábil. Uma das principais contribuições deste estudo é a compreensão de que fatores culturais intrínsecos dentro de cada nação podem influenciar na qualidade da informação contábil. </p>
			</trans-abstract>
			<kwd-group xml:lang="en">
				<title>Keywords:</title>
				<kwd>Accounting Conservatism</kwd>
				<kwd>Accounting Information Quality</kwd>
				<kwd>National Culture</kwd>
				<kwd>Cultural Dimensions</kwd>
			</kwd-group>
			<kwd-group xml:lang="pt">
				<title>Palavras-chave:</title>
				<kwd>Conservadorismo contábil</kwd>
				<kwd>Qualidade da Informação Contábil</kwd>
				<kwd>Cultura Nacional</kwd>
				<kwd>Dimensões Culturais</kwd>
			</kwd-group>
			<counts>
				<fig-count count="1"/>
				<table-count count="6"/>
				<equation-count count="2"/>
				<ref-count count="35"/>
				<page-count count="18"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec sec-type="intro">
			<title>1. INTRODUCTION</title>
			<p>This study analyzes the influence of national culture, more specifically by look at Hofstede’s cultural dimensions (<xref ref-type="bibr" rid="B19">2017</xref>), on the accounting conservatism level of companies from different countries. We sought to test empirically the theoretical approach draft by <xref ref-type="bibr" rid="B15">Gray (1988</xref>) that the culture influences accounting development, which can occur differently in each country.</p>
			<p>Surveys that verify the countries cultural diversity in the business, companies, and accounting are proposed as greatly important by several national and international studies (<xref ref-type="bibr" rid="B15">Gray, 1988</xref>; Weffort, 2005; <xref ref-type="bibr" rid="B8">Chand, 2012</xref>; Riahi &amp; Omn, 2013; Kitching, Mashruwala &amp; Pevzner, 2016; Rodrigues et al., 2017), because they make a contribution by identifying divergences and similarities in the way accounting is performed in the countries studied. </p>
			<p>Therefore, this study brings another perspective of analysis upon the quality of the accounting information, where focus often falls upon agency problems, dealing with an exogenous aspect of countries’ cultures, and being capable of influencing the levels of accounting conservatism presented by companies around the world.</p>
			<p>Accounting conservatism can influence accounting information quality (AIQ), improving internal control in organizations (<xref ref-type="bibr" rid="B13">Goh &amp; Li, 2011</xref>), serve as a corporate management mechanism, lower the managers’ opportunistic behavior (<xref ref-type="bibr" rid="B35">Watts, 2003</xref>) to counterbalance the managers’ optimism excess about overestimation of profits, which is more dangerous than their underestimation in terms of penalties in their disclosure (<xref ref-type="bibr" rid="B16">Hendriksen &amp; Van Breda, 1999</xref>), or to reduce the discretion and subjectivity from managers during the accounting profit disclosure (Ball, Kothari, &amp; Robin, 2000).</p>
			<p>On the other hand, it can skew the recognition of facts, reducing the AIQ, because its practice increases the informational asymmetry of contracts, raising external capital costs and favoring the increase of financial constraint of companies that need to raise funds (<xref ref-type="bibr" rid="B16">Hendriksen &amp; Van Breda, 1999</xref>). </p>
			<p>Several variables can affect the usage of the accounting conservatism in the financial statements, such as the adoption of a new accounting standard (<xref ref-type="bibr" rid="B28">Santana &amp; Klann, 2016</xref>); the votes concentration (<xref ref-type="bibr" rid="B31">Sarlo Neto, Rodrigo &amp; Almeida, 2010</xref>), because the agreement executed between the shareholders impacts on the reduction of the companies conservatism level; as well as the proper culture, since the historical development of each country, the level of the government control, the structure of the business property, in conjunction with the cultural influence received are the possible causes of the different accounting practices used by different countries (<xref ref-type="bibr" rid="B7">Cieslewicz, 2014</xref>). </p>
			<p>The term ‘culture’ equates to a set of meanings and signs created inside a society within which individuals interact with each other. This group embraces the forms of work, leisure, housing, the language, the religion, the cuisine, the power relations, the family structure, and social systems, among others. (<xref ref-type="bibr" rid="B9">Chaui, 2008</xref>). According to <xref ref-type="bibr" rid="B17">Hofstede (1980</xref>), the culture does not consist of something that can be inherited; it is, however, obtained through a social environment that involves the individuals. It can be built, rebuilt and transformed upon the environment’s needs because it does not relate with just one individual, but with all the organization that it is engaged with (<xref ref-type="bibr" rid="B17">Hofstede, 1980</xref>; <xref ref-type="bibr" rid="B18">1991</xref>; 2001). </p>
			<p>Accounting affects the social and cultural environments in which it takes place, and one can view the culture as a fundamental element for the comprehension of the regulations and values that govern those environments (<xref ref-type="bibr" rid="B25">Hopwood &amp; Miller, 1994</xref>). Thus, the cultural differences between the individuals can affect the relations inside of the organization; the higher the difference is, more disparate are the administrative, organizational, and strategic practices (<xref ref-type="bibr" rid="B2">Ariño &amp; De La Torre, 1998</xref>). </p>
			<p>According to <xref ref-type="bibr" rid="B15">Gray (1988</xref>), culture influences the accounting progress in companies, besides impacting on their distinct practices from country to country. The literature, in turn, recognizes the influence of the cultural factor in accounting without excluding the eventual impacts that it can cause in the financial report (<xref ref-type="bibr" rid="B27">Justino, Albuquerque, Quirós &amp; Rodrigues 2017</xref>).</p>
			<p>This way, the divergences among countries earn space as an object of investigation and the realization of these studies become important because they allow the visualization of the environmental factors that describe the divergences in accounting (<xref ref-type="bibr" rid="B34">Verma, 1998</xref>). Based on the theoretical predictions that point out a relation between the national culture and the accounting, survey research was drawn up: <bold>What is the influence of national culture on the level of accounting conservatism of companies?</bold> In order to answer the survey research, this study aims to evaluate the influence of Hofstede’s cultural dimensions (2017) on the level of the accounting conservatism of companies from different countries. </p>
			<p>In general, the results indicate a high dispersion of accounting conservatism observed in the companies analyzed. Furthermore, such companies are stemming, in most cases, from countries with greater power distance, with a culture more concerned with female and collective values, with a greater aversion to uncertain situations, long-term oriented culture, and less likely to indulge. As to the cultural influence in the accounting conservatism, the results show that companies from countries that are more individualistic and with an indulgent behavior can present less conservative accounting practices, while those from countries with a more long-term oriented culture show more conservative behavior. </p>
			<p>From a theoretical perspective, the realization of this study aims at contributing to the investigations about the AIQ, seeking to expand the limits of knowledge regarding the cultural factors that can influence the existence and level of accounting conservatism in different countries. This study sheds light on the discussion of the influence of accounting principles on the quality of accounting information, by showing that external factors, to companies, such as the country’s culture, can influence the level of accounting conservatism in accounting statements of companies from different countries. </p>
			<p>Regulatory bodies must consider this in their quest for greater comparability of accounting information internationally, as well as analysts and investors when analyzing companies from different countries. The results of this study point out that companies from different countries might present different levels of accounting information quality, even though both use international accounting standards or US accounting standards, for example.</p>
			<p>As for the literature breakthrough, <xref ref-type="bibr" rid="B15">Gray’s assumptions (1988</xref>) about the accounting conservatism and the national culture have already been analyzed by several authors (<xref ref-type="bibr" rid="B32">Schultz &amp; Lopez, 2001</xref>; <xref ref-type="bibr" rid="B11">Doupnik &amp; Richter, 2004</xref>; <xref ref-type="bibr" rid="B12">Doupnik &amp; Riccio, 2006</xref>; Tsakumis, 2007), but only in the form of experiments and interviews, which evaluated the interpretations and judgments by accounting professionals. This study overlaps with them, when utilizing data from accounting statements, just like <xref ref-type="bibr" rid="B29">Salter and Lewis (2011</xref>), who has already presented the preparers’ judgment at the moment of its elaboration.</p>
			<p>The difference between this study and <xref ref-type="bibr" rid="B29">Salter and Lewis’ (2011</xref>) is that this one required 32 countries and took into account the six cultural dimensions of Hofstede (2017), while the former relied on 14 countries and considered just three cultural dimensions. </p>
		</sec>
		<sec>
			<title>2. THEORETICAL FRAMEWORK AND HYPOTHESIS DEVELOPING</title>
			<p>
				<xref ref-type="bibr" rid="B35">Watts (2003</xref>) says that the practice of conservatism originated in the 19th century, since the accounting professionals had to provision all the probable loses of companies before performing any distribution of assets. However, for <xref ref-type="bibr" rid="B4">Basu (1997</xref>), its origin was in the 15th century, and, even with numerous criticisms to its use, conservatism is still widely used in the last three decades (<xref ref-type="bibr" rid="B35">Watts, 2003</xref>).</p>
            <p>Gray (1980) defines conservatism as the preference, when using a cautious approach, to measure future events in opposition to the competitive and optimistic market as a form of risk prevention. He forked the concept of conservatism into two sub-concept groups: conditional conservatism and unconditional conservatism (<xref ref-type="bibr" rid="B5">Beaver &amp; Ryan, 2005</xref>). </p>
			<p>Conditional conservatism represents the skewed recognition of bad news, occurring earlier than good news (<xref ref-type="bibr" rid="B4">Basu, 1997</xref>; Ahmed et al., 2000; Ball et al., 2000; <xref ref-type="bibr" rid="B3">Ball &amp; Shivakumar, 2005</xref>; <xref ref-type="bibr" rid="B6">Brown Jr, He &amp; Teitel, 2006</xref>). Its use benefits the production of more transparent and loyal information to the investors, without being overly optimistic (Lopes, 2002). The asymmetric condition to the recognition of gains and losses brought by the practice benefits the users of the accounting statements, essential to mitigate the manager’s opportunistic habits (<xref ref-type="bibr" rid="B35">Watts, 2003</xref>).</p>
			<p>Unconditional conservatism results from the choice between two forms of measurement and recognition of events, both being equally valid, where the chosen option is the one that results in the lowest valuation of assets. It is based on uncertainty, as it affects the continuity of companies to future demands (<xref ref-type="bibr" rid="B16">Hendriksen &amp; Van Breda, 1999</xref>). In this study, the focus is on the conditional conservatism, taken from <xref ref-type="bibr" rid="B3">Ball e Shivakumar’s model (2005</xref>). </p>
			<p>Accounting conservatism, as a feature of AIQ, has been widely investigated in the academic environment, with researchers attempting to look at which factors determine its use. One of the first researchers to consider the culture as an important variable for the presence of conservatism among countries was <xref ref-type="bibr" rid="B15">Gray (1988</xref>). From theoretical conceptions, the author related conservatism to needs and desires, so that if a country aims to reduce uncertainties and be less individualistic, it will show a great tendency to be conservative. </p>
			<p>
				<xref ref-type="bibr" rid="B15">Gray’s study (1988</xref>) addressed three of the four dimensions identified by <xref ref-type="bibr" rid="B17">Hofstede (1980</xref>): Uncertainty Avoidance (UAI), individualism versus collectivism (IVC), and masculinity versus femininity (MAS). The author theoretically maintained that countries with higher UAI, with more collectivist and female values, were more conservative in preparing their financial statements.</p>
			<p>To <xref ref-type="bibr" rid="B17">Hofstede (1980</xref>), the dimension of UAI relates to the level of social stress when facing the unknown future. Thus, this dimension is not about social behavior, but about the human search for the truth, and indicates, culturally, to what degree members of a society are comfortable or uncomfortable in different and unknown situations. When dealing with UAI, <xref ref-type="bibr" rid="B15">Gray (1988</xref>) claims that this dimension is the most positively related to accounting conservatism. Consequently, the preference for adopting more conservative measures ahead of profits is consistent with a scenario of high UAI (H<sub>1</sub>), as a concern with prudence and safety leads to cautious approaches in recognizing future events. </p>
			<p>The IVC dimension is characterized by <xref ref-type="bibr" rid="B17">Hofstede (1980</xref>) as the integration of individuals into primary groups and reveals the degree of integration of individuals within a group. In an individualistic organization, its members have a more competitive, more assertive view and there are no ties between its components; each one takes care of their own business and their own immediate family. On the other hand, the collectivist view, where it is noticeable an integration and cohesion among groups in society, the family vision extends to uncles, aunts, and grandparents, and the meaning of the collective has nothing to do with the politic sense, referring to the state, but it has a connection with the group. </p>
			<p>One can link the individualism defined by <xref ref-type="bibr" rid="B17">Hofstede (1980</xref>) to the overconfidence of the individual; in other words, in societies with high IVC, more decisions are made by the individual driven by the overconfidence (<xref ref-type="bibr" rid="B9">Chaui, 2008</xref>). </p>
			<p>
				<xref ref-type="bibr" rid="B15">Gray (1988</xref>) linked accounting conservatism with the IVC, noting that societies with more individualistic traits have less accounting conservatism. (H<sub>2</sub>). This negative relation was also verified by <xref ref-type="bibr" rid="B30">Salter and Niswander (1995</xref>) and Salter and Lewis (<xref ref-type="bibr" rid="B29">2011</xref>), while <xref ref-type="bibr" rid="B33">Sudarwan and Fogarty (1996</xref>) observed positive relations between the IVC and the accounting conservatism derived from a study in Indonesia. </p>
			<p>The dimension called MAS engages in, according to <xref ref-type="bibr" rid="B17">Hofstede (1980</xref>), the division of emotional roles between men and women, which may reflect different visions within a society. According to the author, women differ less among societies than men, of which they retain values such as modesty and affection, while men are more assertive and competitive. The assertive pole has been called “masculine” while the modest and caring has been called the “feminine” pole (<xref ref-type="bibr" rid="B20">Hofstede, 1998</xref>). </p>
			<p>For <xref ref-type="bibr" rid="B15">Gray (1988</xref>), the MAS is negatively associated with conservatism, because masculine societies seek for more earnings, performance, and efficiency, exerting a stronger influence on the managers and statement preparers, which in this case, would tend to have a less conservative bias in the earnings measures (H<sub>3</sub>). In line with the assumptions described by Gray (<xref ref-type="bibr" rid="B15">1988</xref>) are the results found by <xref ref-type="bibr" rid="B30">Salter and Niswander (1995</xref>) and Salter and Lewis (<xref ref-type="bibr" rid="B29">2011</xref>), while <xref ref-type="bibr" rid="B33">Sudarwan and Fogarty (1996</xref>) did not find a significative relation between these variables.</p>
			<p>
				<xref ref-type="bibr" rid="B17">Hofstede (1980</xref>) identifies problems involving human inequality inside the power distance dimension (PDI), which reflects the extent that members with less power inside organizations accept and even expect a power that is unequally distributed. <xref ref-type="bibr" rid="B14">Goodwin, Goodwin, and Fiedler (2000</xref>) identified that individuals from countries with high PDI were less likely to be involved in the practice of earnings management, representing a more faithful and realistic portrayal of the company.</p>
            <p>Almeida, Lopes, and Corrar (<xref ref-type="bibr" rid="B1">2011</xref>) point out that the higher the GR is, the lower the level of accounting conservatism observed. Thus, assuming a negative relationship between GR and a high PDI and a negative relationship between GR and accounting conservatism, a positive relationship between the high PDI and the accounting conservatism practice is assumed (H<sub>4</sub>). </p>
			<p>The fifth dimension identified by <xref ref-type="bibr" rid="B21">Hofstede et al. (2008</xref>), the long-term orientation <italic>versus</italic> short term orientation (LTO), relates with the choice of focus to people’s efforts: the future or the present and the past. According to the authors, a society focused on cultural values that care about LTO has a forward-looking vision, saves economically, and shows values such as persistence and austerity, unlike the short-term orientation, which focuses on the past and the present. </p>
			<p>This way, in a society, where values are short term oriented, the most important results are those perceived and evidenced in the short term. Thus, in the presented context, the higher the LTO of a country or society is, the higher the level of accounting conservatism will be presented by it (H<sub>5</sub>). </p>
			<p>The sixth dimension described by <xref ref-type="bibr" rid="B23">Hofstede, Hofstede, and Minkov (2010</xref>), indulgence <italic>versus</italic> restraint (IND), has not yet been inside the scope of studies in accounting literature involving the practice of accounting conservatism. These authors define this dimension as a tendency for individuals to allow themselves to be human figures, enjoying life. </p>
			<p>Linking the dimension with the practice of conservatism, it is believed that more indulgent societies, which are more likely to enjoy life, are less conservative, because according to <xref ref-type="bibr" rid="B15">Gray (1988</xref>), the conservatism leads to the use of prudence and caution, where the more conservative accountants opt for more cautious accounting, in order to deal with the uncertainty of future events (H<sub>6</sub>). </p>
			<p>Based on the above, <xref ref-type="fig" rid="f1">Figure 1</xref> presents the expected behavior for accounting conservatism in the analyzed companies to each dimension of the national culture of the countries.</p>
			<p>
				<fig id="f1">
					<label>Figure 1.</label>
					<caption>
						<title>Conservatism and National Culture</title>
					</caption>
					<graphic xlink:href="1808-2386-bbr-17-03-344-gf1.jpg"> </graphic>
					<attrib>Source: own elaboration</attrib>
				</fig>
			</p>
			<p>We expect that the dimensions of uncertainty avoidance (UAI), power distance (PDI), and long-term orientation (LTO) are positively related to the accounting conservatism level, while individualism (IVC), masculinity (MAS) and indulgence (IND) present the opposite behavior. </p>
			<p>However, neither the previous literature nor this study analyzes the interdependence of these cultural dimensions and its effect on the accounting conservatism. Despite this limitation, it is possible to assume that the strongest cultural dimension of a certain nation can impose itself upon others regarding the accounting conservatism.</p>
			<p>For example, one can assume that an extremely male country, even though it has moderate cultural traits of uncertainty aversion, will tend to behave less conservatively. On the other hand, a country with a high-power distance, even though if it has individualistic traits, for example, will tend to have greater traits of accounting conservatism. Therefore, the cultural arrangement between the dimensions in each nation can be very diverse, implying possible different effects on the accounting conservatism in each country.</p>
		</sec>
		<sec sec-type="methods">
			<title>3. METHODOLOGICAL PROCEDURES</title>
			<p>Through the Thomson Reuters®’ database, the study population includes 8.769 public companies from 32 countries, with data extracted from 2010 to 2016, totalizing 61.383 observations. We excluded from the sample <italic>outliers</italic> (above 3 standard-deviations) and companies with total assets less than US$ 100 million, as detailed in <xref ref-type="table" rid="t1">Table 1</xref>:</p>
			<p>
				<table-wrap id="t1">
					<label>Table 1.</label>
					<caption>
						<title>Companies in the Sample</title>
					</caption>
					<graphic xlink:href="tabla1.jpg"/>
					<table>
						<colgroup>
							<col span="3"/>
							<col/>
							<col span="2"/>
							<col span="2"/>
						</colgroup>
						<thead>
							<tr>
								<th align="left" colspan="3">Description</th>
								<th align="center">Companies</th>
								<th align="center" colspan="2">Observations </th>
								<th align="center" colspan="2">% Population </th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="left" colspan="3">Population</td>
								<td align="center">8.769</td>
								<td align="center" colspan="2">61.383 </td>
								<td align="center" colspan="2">100% </td>
							</tr>
							<tr>
								<td align="left" colspan="3">(-) Exclusion <italic>outliers</italic> (above 3 standard-deviations)</td>
								<td align="center">(29)</td>
								<td align="center" colspan="2">(201) </td>
								<td align="center" colspan="2"> 0,3% </td>
							</tr>
							<tr>
								<td align="left" colspan="3">(-) Companies with Total Assets &lt; US$ 100 million</td>
								<td align="center">(942)</td>
								<td align="center" colspan="2">(6.698) </td>
								<td align="center" colspan="2">10,9% </td>
							</tr>
							<tr>
								<td align="left" colspan="3">(=) Final sample</td>
								<td align="center">7.798</td>
								<td align="center" colspan="2">54.484 </td>
								<td align="center" colspan="2">88,8% </td>
							</tr>
							<tr>
								<td align="center" colspan="2" rowspan="2">Country</td>
								<td align="center" colspan="2">Population </td>
								<td align="center" colspan="2">Sample </td>
								<td align="center" rowspan="2">%</td>
								<td align="center" rowspan="2">% Sample</td>
							</tr>
							<tr>
								<td align="center">Observations</td>
								<td align="center">Companies</td>
								<td align="center">Observations</td>
								<td align="center">Companies</td>
							</tr>
							<tr>
								<td align="left">1</td>
								<td align="left">USA</td>
								<td align="right">1.099</td>
								<td align="right">157</td>
								<td align="right">1.095</td>
								<td align="right">157</td>
								<td align="right">99,6%</td>
								<td align="right">2,0%</td>
							</tr>
							<tr>
								<td align="left">2</td>
								<td align="left">Brazil</td>
								<td align="right">1.519</td>
								<td align="right">217</td>
								<td align="right">1.400</td>
								<td align="right">200</td>
								<td align="right">92,2%</td>
								<td align="right">2,6%</td>
							</tr>
							<tr>
								<td align="left">3</td>
								<td align="left">Canada</td>
								<td align="right">5.068</td>
								<td align="right">724</td>
								<td align="right">1.808</td>
								<td align="right">259</td>
								<td align="right">35,7%</td>
								<td align="right">3,3%</td>
							</tr>
							<tr>
								<td align="left">4</td>
								<td align="left">Mexico</td>
								<td align="right">546</td>
								<td align="right">78</td>
								<td align="right">546</td>
								<td align="right">78</td>
								<td align="right">100,0%</td>
								<td align="right">1,0%</td>
							</tr>
							<tr>
								<td align="left">5</td>
								<td align="left">Argentina</td>
								<td align="right">280</td>
								<td align="right">40</td>
								<td align="right">254</td>
								<td align="right">37</td>
								<td align="right">90,7%</td>
								<td align="right">0,5%</td>
							</tr>
							<tr>
								<td align="left">6</td>
								<td align="left">Colombia</td>
								<td align="right">301</td>
								<td align="right">43</td>
								<td align="right">287</td>
								<td align="right">41</td>
								<td align="right">95,3%</td>
								<td align="right">0,5%</td>
							</tr>
							<tr>
								<td align="left">7</td>
								<td align="left">Chile</td>
								<td align="right">693</td>
								<td align="right">99</td>
								<td align="right">636</td>
								<td align="right">91</td>
								<td align="right">91,8%</td>
								<td align="right">1,2%</td>
							</tr>
							<tr>
								<td align="left">8</td>
								<td align="left">Peru</td>
								<td align="right">616</td>
								<td align="right">88</td>
								<td align="right">582</td>
								<td align="right">84</td>
								<td align="right">94,5%</td>
								<td align="right">1,1%</td>
							</tr>
							<tr>
								<td align="left">9</td>
								<td align="left">China</td>
								<td align="right">11.739</td>
								<td align="right">1.677</td>
								<td align="right">11.679</td>
								<td align="right">1.670</td>
								<td align="right">99,5%</td>
								<td align="right">21,4%</td>
							</tr>
							<tr>
								<td align="left">10</td>
								<td align="left">Japan</td>
								<td align="right">1.547</td>
								<td align="right">221</td>
								<td align="right">1.537</td>
								<td align="right">220</td>
								<td align="right">99,4%</td>
								<td align="right">2,8%</td>
							</tr>
							<tr>
								<td align="left">11</td>
								<td align="left">India</td>
								<td align="right">147</td>
								<td align="right">21</td>
								<td align="right">147</td>
								<td align="right">21</td>
								<td align="right">100,0%</td>
								<td align="right">0,3%</td>
							</tr>
							<tr>
								<td align="left">12</td>
								<td align="left">South Korea</td>
								<td align="right">8.806</td>
								<td align="right">1.258</td>
								<td align="right">8.790</td>
								<td align="right">1.257</td>
								<td align="right">99,8%</td>
								<td align="right">16,1%</td>
							</tr>
							<tr>
								<td align="left">13</td>
								<td align="left">Indonesia</td>
								<td align="right">1.197</td>
								<td align="right">171</td>
								<td align="right">1.136</td>
								<td align="right">163</td>
								<td align="right">94,9%</td>
								<td align="right">2,1%</td>
							</tr>
							<tr>
								<td align="left">14</td>
								<td align="left">Saudi Arabia</td>
								<td align="right">623</td>
								<td align="right">89</td>
								<td align="right">556</td>
								<td align="right">80</td>
								<td align="right">89,2%</td>
								<td align="right">1,0%</td>
							</tr>
							<tr>
								<td align="left">15</td>
								<td align="left">Taiwan</td>
								<td align="right">9.471</td>
								<td align="right">1.353</td>
								<td align="right">9.282</td>
								<td align="right">1.332</td>
								<td align="right">98,0%</td>
								<td align="right">17,0%</td>
							</tr>
							<tr>
								<td align="left">16</td>
								<td align="left">Thailand</td>
								<td align="right">2.429</td>
								<td align="right">347</td>
								<td align="right">2.316</td>
								<td align="right">331</td>
								<td align="right">95,3%</td>
								<td align="right">4,2%</td>
							</tr>
							<tr>
								<td align="left">17</td>
								<td align="left">Philippines</td>
								<td align="right">588</td>
								<td align="right">84</td>
								<td align="right">576</td>
								<td align="right">83</td>
								<td align="right">98,0%</td>
								<td align="right">1,1%</td>
							</tr>
							<tr>
								<td align="left">18</td>
								<td align="left">Singapore</td>
								<td align="right">2.128</td>
								<td align="right">304</td>
								<td align="right">1.623</td>
								<td align="right">232</td>
								<td align="right">76,3%</td>
								<td align="right">3,0%</td>
							</tr>
							<tr>
								<td align="left">19</td>
								<td align="left">Nigeria</td>
								<td align="right">266</td>
								<td align="right">38</td>
								<td align="right">237</td>
								<td align="right">34</td>
								<td align="right">89,1%</td>
								<td align="right">0,4%</td>
							</tr>
							<tr>
								<td align="left">20</td>
								<td align="left">Egypt</td>
								<td align="right">322</td>
								<td align="right">46</td>
								<td align="right">292</td>
								<td align="right">42</td>
								<td align="right">90,7%</td>
								<td align="right">0,5%</td>
							</tr>
							<tr>
								<td align="left">21</td>
								<td align="left">South Africa</td>
								<td align="right">420</td>
								<td align="right">60</td>
								<td align="right">381</td>
								<td align="right">55</td>
								<td align="right">90,7%</td>
								<td align="right">0,7%</td>
							</tr>
							<tr>
								<td align="left">22</td>
								<td align="left">Morroco</td>
								<td align="right">98</td>
								<td align="right">14</td>
								<td align="right">91</td>
								<td align="right">13</td>
								<td align="right">92,9%</td>
								<td align="right">0,2%</td>
							</tr>
							<tr>
								<td align="left">23</td>
								<td align="left">Germany</td>
								<td align="right">1.981</td>
								<td align="right">283</td>
								<td align="right">1.160</td>
								<td align="right">166</td>
								<td align="right">58,6%</td>
								<td align="right">2,1%</td>
							</tr>
							<tr>
								<td align="left">24</td>
								<td align="left">United Kingdom</td>
								<td align="right">896</td>
								<td align="right">128</td>
								<td align="right">888</td>
								<td align="right">127</td>
								<td align="right">99,1%</td>
								<td align="right">1,6%</td>
							</tr>
							<tr>
								<td align="left">25</td>
								<td align="left">France</td>
								<td align="right">2.268</td>
								<td align="right">324</td>
								<td align="right">1.294</td>
								<td align="right">185</td>
								<td align="right">57,1%</td>
								<td align="right">2,4%</td>
							</tr>
							<tr>
								<td align="left">26</td>
								<td align="left">Italy</td>
								<td align="right">1.008</td>
								<td align="right">144</td>
								<td align="right">851</td>
								<td align="right">122</td>
								<td align="right">84,4%</td>
								<td align="right">1,6%</td>
							</tr>
							<tr>
								<td align="left">27</td>
								<td align="left">Russia</td>
								<td align="right">1.358</td>
								<td align="right">194</td>
								<td align="right">1.357</td>
								<td align="right">194</td>
								<td align="right">99,9%</td>
								<td align="right">2,5%</td>
							</tr>
							<tr>
								<td align="left">28</td>
								<td align="left">Turkey</td>
								<td align="right">1.127</td>
								<td align="right">161</td>
								<td align="right">1.126</td>
								<td align="right">161</td>
								<td align="right">99,9%</td>
								<td align="right">2,1%</td>
							</tr>
							<tr>
								<td align="left">29</td>
								<td align="left">Netherlands</td>
								<td align="right">364</td>
								<td align="right">52</td>
								<td align="right">286</td>
								<td align="right">41</td>
								<td align="right">78,6%</td>
								<td align="right">0,5%</td>
							</tr>
							<tr>
								<td align="left">30</td>
								<td align="left">Switzerland</td>
								<td align="right">686</td>
								<td align="right">98</td>
								<td align="right">592</td>
								<td align="right">85</td>
								<td align="right">86,3%</td>
								<td align="right">1,1%</td>
							</tr>
							<tr>
								<td align="left">31</td>
								<td align="left">Poland</td>
								<td align="right">1.351</td>
								<td align="right">193</td>
								<td align="right">1.346</td>
								<td align="right">193</td>
								<td align="right">99,6%</td>
								<td align="right">2,5%</td>
							</tr>
							<tr>
								<td align="left">32</td>
								<td align="left">Belgium</td>
								<td align="right">441</td>
								<td align="right">63</td>
								<td align="right">333</td>
								<td align="right">48</td>
								<td align="right">75,5%</td>
								<td align="right">0,6%</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="left">Total </td>
								<td align="right">61.383</td>
								<td align="right">8.769</td>
								<td align="right">54.484</td>
								<td align="right">7.798</td>
								<td align="right">88,8%</td>
								<td align="right">100%</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN1">
							<p>Source: Survey Data.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
			</p>
			<p>
				<xref ref-type="table" rid="t2">Table 2</xref> shows the <italic>scores</italic> of each country in the sample, to each of the six dimensions searched by Hofstede, identified in surveys developed by the author inside the countries, through the questionnaires applied.</p>
			<p>
				<table-wrap id="t2">
					<label>Table 2.</label>
					<caption>
						<title>Hofstede’s Cultural Dimensions - Score of the countries in the sample</title>
					</caption>
					<graphic xlink:href="tabla2.jpg"/>
					<table>
						<colgroup>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="left">Country</th>
								<th align="center">PDI</th>
								<th align="center">IVC</th>
								<th align="center">MAS</th>
								<th align="center">UAI</th>
								<th align="center">LTO</th>
								<th align="center">IND</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="left">USA</td>
								<td align="center">40</td>
								<td align="center">91</td>
								<td align="center">62</td>
								<td align="center">46</td>
								<td align="center">26</td>
								<td align="center">68</td>
							</tr>
							<tr>
								<td align="left">Brazil</td>
								<td align="center">69</td>
								<td align="center">38</td>
								<td align="center">49</td>
								<td align="center">76</td>
								<td align="center">44</td>
								<td align="center">59</td>
							</tr>
							<tr>
								<td align="left">Canada</td>
								<td align="center">39</td>
								<td align="center">80</td>
								<td align="center">52</td>
								<td align="center">48</td>
								<td align="center">36</td>
								<td align="center">68</td>
							</tr>
							<tr>
								<td align="left">Mexico</td>
								<td align="center">81</td>
								<td align="center">30</td>
								<td align="center">69</td>
								<td align="center">82</td>
								<td align="center">24</td>
								<td align="center">97</td>
							</tr>
							<tr>
								<td align="left">Argentina</td>
								<td align="center">49</td>
								<td align="center">46</td>
								<td align="center">56</td>
								<td align="center">86</td>
								<td align="center">20</td>
								<td align="center">62</td>
							</tr>
							<tr>
								<td align="left">Colombia</td>
								<td align="center">67</td>
								<td align="center">13</td>
								<td align="center">64</td>
								<td align="center">80</td>
								<td align="center">13</td>
								<td align="center">83</td>
							</tr>
							<tr>
								<td align="left">Chile</td>
								<td align="center">63</td>
								<td align="center">23</td>
								<td align="center">28</td>
								<td align="center">86</td>
								<td align="center">31</td>
								<td align="center">68</td>
							</tr>
							<tr>
								<td align="left">Peru</td>
								<td align="center">64</td>
								<td align="center">16</td>
								<td align="center">42</td>
								<td align="center">87</td>
								<td align="center">25</td>
								<td align="center">46</td>
							</tr>
							<tr>
								<td align="left">China</td>
								<td align="center">80</td>
								<td align="center">20</td>
								<td align="center">66</td>
								<td align="center">30</td>
								<td align="center">87</td>
								<td align="center">24</td>
							</tr>
							<tr>
								<td align="left">Japan</td>
								<td align="center">54</td>
								<td align="center">46</td>
								<td align="center">95</td>
								<td align="center">92</td>
								<td align="center">88</td>
								<td align="center">42</td>
							</tr>
							<tr>
								<td align="left">India</td>
								<td align="center">77</td>
								<td align="center">48</td>
								<td align="center">46</td>
								<td align="center">40</td>
								<td align="center">51</td>
								<td align="center">26</td>
							</tr>
							<tr>
								<td align="left">South Korea</td>
								<td align="center">60</td>
								<td align="center">18</td>
								<td align="center">39</td>
								<td align="center">85</td>
								<td align="center">100</td>
								<td align="center">29</td>
							</tr>
							<tr>
								<td align="left">Indonesia</td>
								<td align="center">78</td>
								<td align="center">14</td>
								<td align="center">46</td>
								<td align="center">48</td>
								<td align="center">62</td>
								<td align="center">38</td>
							</tr>
							<tr>
								<td align="left">Saudi Arabia</td>
								<td align="center">95</td>
								<td align="center">35</td>
								<td align="center">60</td>
								<td align="center">80</td>
								<td align="center">36</td>
								<td align="center">52</td>
							</tr>
							<tr>
								<td align="left">Taiwan</td>
								<td align="center">58</td>
								<td align="center">17</td>
								<td align="center">45</td>
								<td align="center">69</td>
								<td align="center">93</td>
								<td align="center">49</td>
							</tr>
							<tr>
								<td align="left">Thailand</td>
								<td align="center">64</td>
								<td align="center">20</td>
								<td align="center">34</td>
								<td align="center">64</td>
								<td align="center">32</td>
								<td align="center">45</td>
							</tr>
							<tr>
								<td align="left">Philipinnes</td>
								<td align="center">94</td>
								<td align="center">32</td>
								<td align="center">64</td>
								<td align="center">44</td>
								<td align="center">27</td>
								<td align="center">42</td>
							</tr>
							<tr>
								<td align="left">Singapore</td>
								<td align="center">74</td>
								<td align="center">20</td>
								<td align="center">48</td>
								<td align="center">8</td>
								<td align="center">72</td>
								<td align="center">46</td>
							</tr>
							<tr>
								<td align="left">Nigeria</td>
								<td align="center">80</td>
								<td align="center">30</td>
								<td align="center">60</td>
								<td align="center">55</td>
								<td align="center">13</td>
								<td align="center">84</td>
							</tr>
							<tr>
								<td align="left">Egypt</td>
								<td align="center">70</td>
								<td align="center">25</td>
								<td align="center">45</td>
								<td align="center">80</td>
								<td align="center">7</td>
								<td align="center">4</td>
							</tr>
							<tr>
								<td align="left">South Africa</td>
								<td align="center">49</td>
								<td align="center">65</td>
								<td align="center">63</td>
								<td align="center">49</td>
								<td align="center">34</td>
								<td align="center">63</td>
							</tr>
							<tr>
								<td align="left">Morroco</td>
								<td align="center">70</td>
								<td align="center">46</td>
								<td align="center">53</td>
								<td align="center">68</td>
								<td align="center">14</td>
								<td align="center">25</td>
							</tr>
							<tr>
								<td align="left">Germany</td>
								<td align="center">35</td>
								<td align="center">67</td>
								<td align="center">66</td>
								<td align="center">65</td>
								<td align="center">83</td>
								<td align="center">40</td>
							</tr>
							<tr>
								<td align="left">United Kingdom</td>
								<td align="center">35</td>
								<td align="center">89</td>
								<td align="center">66</td>
								<td align="center">35</td>
								<td align="center">51</td>
								<td align="center">69</td>
							</tr>
							<tr>
								<td align="left">France</td>
								<td align="center">68</td>
								<td align="center">71</td>
								<td align="center">43</td>
								<td align="center">83</td>
								<td align="center">63</td>
								<td align="center">48</td>
							</tr>
							<tr>
								<td align="left">Italy</td>
								<td align="center">50</td>
								<td align="center">76</td>
								<td align="center">70</td>
								<td align="center">75</td>
								<td align="center">61</td>
								<td align="center">30</td>
							</tr>
							<tr>
								<td align="left">Russia</td>
								<td align="center">93</td>
								<td align="center">39</td>
								<td align="center">36</td>
								<td align="center">95</td>
								<td align="center">81</td>
								<td align="center">20</td>
							</tr>
							<tr>
								<td align="left">Turkey</td>
								<td align="center">66</td>
								<td align="center">37</td>
								<td align="center">45</td>
								<td align="center">85</td>
								<td align="center">46</td>
								<td align="center">49</td>
							</tr>
							<tr>
								<td align="left">Netherlands</td>
								<td align="center">38</td>
								<td align="center">80</td>
								<td align="center">14</td>
								<td align="center">53</td>
								<td align="center">67</td>
								<td align="center">68</td>
							</tr>
							<tr>
								<td align="left">Switzerland</td>
								<td align="center">34</td>
								<td align="center">68</td>
								<td align="center">70</td>
								<td align="center">58</td>
								<td align="center">74</td>
								<td align="center">66</td>
							</tr>
							<tr>
								<td align="left">Poland</td>
								<td align="center">68</td>
								<td align="center">60</td>
								<td align="center">64</td>
								<td align="center">93</td>
								<td align="center">38</td>
								<td align="center">29</td>
							</tr>
							<tr>
								<td align="left">Belgium</td>
								<td align="center">65</td>
								<td align="center">75</td>
								<td align="center">54</td>
								<td align="center">94</td>
								<td align="center">82</td>
								<td align="center">57</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN2">
							<p>Source: Hofstede (2017).</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
			</p>
			<p>Measured from 0 to 100, a high score on the PDI dimension indicates how much the country accepts the distance between the members of a society/organization; the individuals expect the powerful members to guide them in their work. For this dimension, the country that achieved the highest score was Saudi Arabia (95), while Switzerland presented the lowest <italic>score</italic>.</p>
			<p>South Korea achieved the highest score (100) on the LTO dimension. It is necessary to highlight that the country reached the maximum score on the Hofstede’s scale and according to the author, this is because Korea is one of the most pragmatic and long-term societies in the world.</p>
			<p>The scores to the IND dimension also presented important divergences, with the country with the highest score, indicating the disposition of “enjoying life”, was registered in Mexico (97), while the lowest score was Egypt (4). The score verified in Mexico indicates a definitive cultural tendency toward indulgence, which shows a desire to accomplish the impulses, showing a positive attitude, and a tendency towards optimism. </p>
			<p>We used <xref ref-type="bibr" rid="B3">Ball and Shivakumar’s model (2005</xref>) to measure the conditional conservatism, which measures the asymmetry of recognition between gains (good news) and losses (bad news). The model assesses the conservatism according to the occurrence of accounting earnings reversal, which allows the identification of transitional components on gains or losses. In this context, the lowest frequency of recognition of timely loss means the lowest quality of the accounting statements.</p>
			<p>
	<disp-formula id="e1">
		<alternatives>
			<graphic xlink:href="e1.jpg"/>
			<mml:math id="m1" display="block">
<mml:msub><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mi> </mml:mi><mml:mi mathvariant="normal">α</mml:mi><mml:mn>0</mml:mn><mml:mi mathvariant="normal"> </mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:mi mathvariant="normal">α</mml:mi><mml:mn>1</mml:mn><mml:mi mathvariant="normal">D</mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:mi> </mml:mi><mml:mi mathvariant="normal">α</mml:mi><mml:mn>2</mml:mn><mml:msub><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:mi> </mml:mi><mml:mi mathvariant="normal">α</mml:mi><mml:mn>3</mml:mn><mml:mi mathvariant="normal">D</mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>×</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:mi mathvariant="normal">ɛ</mml:mi></mml:mrow><mml:mrow><mml:mi>t</mml:mi></mml:mrow></mml:msub></mml:math>
</alternatives>
		<label>(1)</label>
	</disp-formula>
</p>
			<p>In which:</p>
			<p>Δ<italic>NI</italic>
 <sub>
 <italic>it</italic> 
</sub> : variation in the accounting operation profit of the company <italic>i</italic> of the year <italic>t-1</italic> to the <italic>t</italic> weighted by total asset value at the beginning of the year <italic>t;</italic></p>
			<p>Δ<italic>NI</italic>
 <sub>
 <italic>it-1</italic>
</sub> : variation in the accounting operation profit of the company <italic>i</italic> of the year <italic>t-2</italic> to the <italic>t-1</italic> weighted by total asset value at the beginning of the year <italic>t-1;</italic></p>
			<p>DΔ<italic>NI</italic>
 <sub>
 <italic>it-1</italic> 
</sub> :<italic>dummy</italic> variable assuming value 1 if ΔNI<sub>it-1</sub>&lt;0, and 0 in other cases;</p>
			<p>ɛ<sub>
 <italic>t</italic>
</sub> : standard error of the regression.</p>
			<p>Initially, equation 1 was run for each country, separately, in order to identify the conservatism present in the sample. According to the model, which was tested for each country, the anticipation of economic gains for when there is cash flow allows one to recognize gains as a persistent component of accounting profit, which tends not to be reversed and implies on α<sub>2</sub> being zero. However, when the recognition of gains occurs in a timely manner, they are seen as a factor of increase in the transitional component of profit, with a tendency to be reversed in subsequent periods, which is perceived by α<sub>2&lt;</sub>0. </p>
			<p>Furthermore, the recognition of losses represents earnings’ transient decreases, where α<sub>2</sub> + α<sub>3</sub> &lt; 0, and if the losses are recognized timelier than gains, it is considered as a <italic>proxy</italic> of the conditional accounting conservatism, then α<sub>3</sub>&lt; 0 (<xref ref-type="bibr" rid="B3">Ball &amp; Shivakumar, 2005</xref>). For better data visualization, we inverted the dependent variable, so in this context, α<sub>3</sub> &gt; 0 indicates conservative accounting practice.</p>
			<p>
				<xref ref-type="bibr" rid="B3">Ball and Shivakumar’s model (2005</xref>) was adjusted to measure the effect of the national culture on accounting conservatism, by the national culture variables, represented in Equation 2 by the initials CULT, representing the <italic>score</italic> of each dimension obtained by the country in the Hofstede’s survey. </p>
			
<p>
	<disp-formula id="e2">
		<alternatives>
			<graphic xlink:href="e2.jpg"/>
			<mml:math id="m2" display="block">
<mml:msub><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>=</mml:mo><mml:mi> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">α</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msub><mml:mi mathvariant="normal"> </mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">α</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mi mathvariant="normal"> </mml:mi><mml:mi mathvariant="normal">D</mml:mi><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mrow><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>+</mml:mo><mml:mi> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">α</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mrow><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:mi> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">α</mml:mi></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub><mml:mi mathvariant="normal"> </mml:mi><mml:mi mathvariant="normal">D</mml:mi><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mrow><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>×</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mrow><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">α</mml:mi></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>C</mml:mi><mml:mi>U</mml:mi><mml:mi>L</mml:mi><mml:mi>T</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">α</mml:mi></mml:mrow><mml:mrow><mml:mn>5</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>C</mml:mi><mml:mi>U</mml:mi><mml:mi>L</mml:mi><mml:mi>T</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>×</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:mi mathvariant="normal">D</mml:mi><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mrow><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">α</mml:mi></mml:mrow><mml:mrow><mml:mn>6</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>C</mml:mi><mml:mi>U</mml:mi><mml:mi>L</mml:mi><mml:mi>T</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>×</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mrow><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">α</mml:mi></mml:mrow><mml:mrow><mml:mn>7</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>C</mml:mi><mml:mi>U</mml:mi><mml:mi>L</mml:mi><mml:mi>T</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>×</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:mi mathvariant="normal">D</mml:mi><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mrow><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>×</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mrow><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">ɛ</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub></mml:math>
</alternatives>
		<label>(2)</label>
	</disp-formula>
</p>
			<p>Equation 2, which covers each one of the six cultural dimensions of Hofstede’s sample, was tested separately for each dimension, using observations in a period from 2010 to 2016. In this equation, the variables of interest are α<sub>6</sub> and α<sub>7</sub>. The identification of the timely recognition of economic losses related to each cultural dimension implies their recognition with a decrease in transient profits verified at α<sub>6</sub>+ α<sub>7</sub>&lt;0. The hypothesis of the existence of conservatism related to each one of the cultural dimensions tested, which indicates that the economic losses are recognized faster than the gains, results in α<sub>7</sub>&lt;0. Thus, α<sub>6</sub> refers to the early recognition of gains and α<sub>7</sub> to the relation between the accounting conservatism and the cultural dimension surveyed.</p>
			<p>For control variables, IFRS was used (1 for adopting companies and zero otherwise) and size (log of Total Assets). The IFRS adoption by countries may influence the level of companies accounting conservatism; therefore, it would be prudent, when comparing such levels among the companies of the sample, to consider a possible effect of the IFRS. As for the size, it is a common control variable in accounting conservatism studies. </p>
		</sec>
		<sec sec-type="results|discussion">
			<title>4. RESULTS AND DISCUSSIONS</title>
			<sec>
				<title>4.1. Descriptive statistics</title>
				<p>Initially, the descriptive statistics of the Net Income (NI) and Total Assets (TA) variables, used in <xref ref-type="bibr" rid="B3">Ball e Shivakumar’s model (2005</xref>), in addition to the national culture variables, represented by Hofstede’s cultural dimensions: power distance (PDI), individualistic <italic>versus</italic> collectivistic (IVC), masculine <italic>versus</italic> feminine (MAS), uncertainty avoidance (UAI), long term orientation <italic>versus</italic> short term orientation (LTO) and indulgence <italic>versus</italic> restraint (IND), as shows the <xref ref-type="table" rid="t3">Table 3</xref>:</p>
				<p>
					<table-wrap id="t3">
						<label>Table 3.</label>
						<caption>
							<title>Descriptive statistics of the study’s variables</title>
						</caption>
						<graphic xlink:href="tabla3.jpg"/>
						<table>
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="left">Variable</th>
									<th align="center">Observations</th>
									<th align="center">Average</th>
									<th align="right">Standard Deviation</th>
									<th align="center">Minimum</th>
									<th align="center">Maximum</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="left">NI (in millions $)</td>
									<td align="center">54.484</td>
									<td align="right">459</td>
									<td align="right">17.074</td>
									<td align="right">-45.560</td>
									<td align="right">1.651.000</td>
								</tr>
								<tr>
									<td align="left">TA (in millions $)</td>
									<td align="center">54.484</td>
									<td align="right">5.544</td>
									<td align="right">190.363</td>
									<td align="right">0,0001</td>
									<td align="right">17.050.000</td>
								</tr>
								<tr>
									<td align="left">ΔNI<sub>it</sub></td>
									<td align="center">54.484</td>
									<td align="right">0,1384</td>
									<td align="right">0,1741</td>
									<td align="right">-7,7243</td>
									<td align="right">7,3173</td>
								</tr>
								<tr>
									<td align="left">DΔNI<sub>it-1</sub> - α1 (<italic>dummy</italic>)</td>
									<td align="center">54.484</td>
									<td align="right">0,4353</td>
									<td align="center">-</td>
									<td align="center">0</td>
									<td align="center">1</td>
								</tr>
								<tr>
									<td align="left">ΔNI<sub>it-1</sub> - α2</td>
									<td align="center">54.484</td>
									<td align="right">0,123</td>
									<td align="right">0,4121</td>
									<td align="right">-50,3689</td>
									<td align="right">45,0253</td>
								</tr>
								<tr>
									<td align="left">DΔNI<sub>it-1</sub>*ΔNI<sub>it-1</sub> - α3</td>
									<td align="center">54.484</td>
									<td align="right">0,0081</td>
									<td align="right">0,0901</td>
									<td align="right">-2,1178</td>
									<td align="right">5,7973</td>
								</tr>
								<tr>
									<td align="left">PDI</td>
									<td align="center">54.484</td>
									<td align="right">64,8577</td>
									<td align="right">17,2174</td>
									<td align="center">34</td>
									<td align="center">95</td>
								</tr>
								<tr>
									<td align="left">IVC</td>
									<td align="center">54.484</td>
									<td align="right">31,8028</td>
									<td align="right">22,1399</td>
									<td align="center">13</td>
									<td align="center">91</td>
								</tr>
								<tr>
									<td align="left">MAS</td>
									<td align="center">54.484</td>
									<td align="right">52,5225</td>
									<td align="right">14,0807</td>
									<td align="center">14</td>
									<td align="center">95</td>
								</tr>
								<tr>
									<td align="left">UAI</td>
									<td align="center">54.484</td>
									<td align="right">62,0197</td>
									<td align="right">23,936</td>
									<td align="center">8</td>
									<td align="center">95</td>
								</tr>
								<tr>
									<td align="left">LTO</td>
									<td align="center">54.484</td>
									<td align="right">73,5542</td>
									<td align="right">25,9956</td>
									<td align="center">7</td>
									<td align="center">100</td>
								</tr>
								<tr>
									<td align="left">IND</td>
									<td align="center">54.484</td>
									<td align="right">40,7075</td>
									<td align="right">16,1610</td>
									<td align="center">4</td>
									<td align="center">97</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN3">
								<p>Graphic subtitle: NI: Net Income; TA: Total Assets; ΔNI<sub>it:</sub> variation in accounting net incoming of the company <italic>i</italic> of the year <italic>t-1</italic> to the <italic>t</italic> weighted by the total asset value at the beginning of the year <italic>t;</italic>DΔNI<sub>it-1</sub>: dummy for the variation of the company’s net accounting profit <italic>i</italic> of the year <italic>t-1</italic> to the year t, if indicates negative variation, assumes value 1 if ΔNI<sub>it</sub>&lt;0, and 0 to other cases;: variation in accounting net income of the company <italic>i</italic> of the year <italic>t-2</italic> to the <italic>t-1</italic> weighted by the total asset value at the beginning of the year <italic>t-1.</italic></p>
							</fn>
							<fn id="TFN4">
								<p>Source: Survey data.</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
				<p>There is a positive variation in the net income (ΔNI<sub>it</sub>) over the period analyzed, which indicates that corporate profitability has been improving at the period, even with a present discrepancy among the companies (higher than average standard deviation). The variables Net Incoming (NI) and Total Asset (TA) were used to calculate the ΔNI<sub>it</sub> and show high dispersion, which is understandable given that the data come from companies from 32 countries and nine different sectors.</p>
				<p>The variable DΔNI<sub>it-1</sub> indicates that about 44% of the searched companies show a negative variation on the reported profit, which is in line with the positive average found to the profit variation (ΔNI<sub>it</sub>), as the majority of the companies (56%) found positive variation in their earnings in the period analyzed.</p>
				<p>The variable (DΔNI<sub>it-1</sub>*ΔNI<sub>it-1</sub>) designates the level of conservatism adopted by the companies, as observed by the coefficient α<sub>3</sub> of <xref ref-type="bibr" rid="B3">Ball &amp; Shivakumar’s conservatism model (2005</xref>). The average of the conservatism variable was 0,0081, with a higher standard deviation comparing to the average, indicating high dispersion of the data. </p>
				<p>The <italic>scores</italic> of Hofstede’s cultural dimensions shows less discrepancy, based on the average of cultural variables, which can represent that companies come from most countries with higher PDI, with a culture that is more concerned with female and collective values, with greater aversion to situations of uncertainty, which reveals bigger concern with the future, and maintains a long-term orientated culture and with less aptness to enjoy life (less <italic>score</italic> to indulgence).</p>
				<p>We performed Pearson and Spearman’s correlation tests, as shown in <xref ref-type="table" rid="t4">Table 4</xref>:</p>
				<p>
					<table-wrap id="t4">
						<label>Table 4.</label>
						<caption>
							<title>Pearson (below diagonal) and Spearman (above diagonal) correlation analysis</title>
						</caption>
						<graphic xlink:href="tabla4.jpg"/>
						<table>
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
                            <thead>
                            <tr>
									<th align="left"> </th>
									<th align="center">NI</th>
									<th align="center">TA</th>
									<th align="center">ΔNIit</th>
									<th align="center">α1</th>
									<th align="center">α2</th>
									<th align="center">α3</th>
									<th align="center">PDI</th>
									<th align="center">IVC</th>
									<th align="center">MAS</th>
									<th align="center">UAI</th>
									<th align="center">LTO</th>
									<th align="center">IND</th>
								</tr>
                            </thead>
							<tbody>
								<tr>
									<td align="left">NI</td>
									<td align="center">1</td>
									<td align="center"><bold>0,580</bold></td>
									<td align="center"><bold>0,249</bold></td>
									<td align="center"><bold>-0,217</bold></td>
									<td align="center"><bold>0,125</bold></td>
									<td align="center"><bold>0,057</bold></td>
									<td align="center">-0,003</td>
									<td align="center"><bold>0,030</bold></td>
									<td align="center"><bold>-0,155</bold></td>
									<td align="center"><bold>0,254</bold></td>
									<td align="center"><bold>0,036</bold></td>
									<td align="center"><bold>-0,0497</bold></td>
								</tr>
								<tr>
									<td align="left">TA</td>
									<td align="center"><bold>0,884</bold></td>
									<td align="center">1</td>
									<td align="center"><bold>-0,038</bold></td>
									<td align="center"><bold>0,026</bold></td>
									<td align="center"><bold>-0,036</bold></td>
									<td align="center"><bold>-0,013</bold></td>
									<td align="center"><bold>-0,028</bold></td>
									<td align="center">-0,008</td>
									<td align="center"><bold>-0,303</bold></td>
									<td align="center"><bold>0,431</bold></td>
									<td align="center"><bold>0,144</bold></td>
									<td align="center"><bold>-0,1072</bold></td>
								</tr>
								<tr>
									<td align="left">ΔNI<sub>it</sub></td>
									<td align="center">-0,000</td>
									<td align="center">-0,003</td>
									<td align="center">1</td>
									<td align="center"><bold>-0,854</bold></td>
									<td align="center"><bold>-0,089</bold></td>
									<td align="center"><bold>-0,136</bold></td>
									<td align="center"><bold>0,010</bold></td>
									<td align="center"><bold>0,009</bold></td>
									<td align="center"><bold>0,037</bold></td>
									<td align="center"><bold>-0,032</bold></td>
									<td align="center"><bold>-0,016</bold></td>
									<td align="center">-0,002</td>
								</tr>
								<tr>
									<td align="left">a1</td>
									<td align="center">-0,001</td>
									<td align="center">0,006</td>
									<td align="center"><bold>-0,327</bold></td>
									<td align="center">1</td>
									<td align="center"><bold>0,047</bold></td>
									<td align="center"><bold>0,141</bold></td>
									<td align="center"><bold>-0,016</bold></td>
									<td align="center"><bold>-0,024</bold></td>
									<td align="center"><bold>-0,047</bold></td>
									<td align="center"><bold>0,040</bold></td>
									<td align="center"><bold>0,028</bold></td>
									<td align="center">0,0064</td>
								</tr>
								<tr>
									<td align="left">a2</td>
									<td align="center">-0,001</td>
									<td align="center">-0,001</td>
									<td align="center"><bold>0,048</bold></td>
									<td align="center"><bold>0,014</bold></td>
									<td align="center">1</td>
									<td align="center"><bold>0,604</bold></td>
									<td align="center"><bold>0,026</bold></td>
									<td align="center"><bold>-0,012</bold></td>
									<td align="center"><bold>0,037</bold></td>
									<td align="center"><bold>-0,044</bold></td>
									<td align="center">0,004</td>
									<td align="center"><bold>-0,0199</bold></td>
								</tr>
								<tr>
									<td align="left">a3</td>
									<td align="center">-0,003</td>
									<td align="center">-0,004</td>
									<td align="center"><bold>-0,198</bold></td>
									<td align="center"><bold>0,103</bold></td>
									<td align="center"><bold>0,218</bold></td>
									<td align="center">1</td>
									<td align="center"><bold>-0,012</bold></td>
									<td align="center"><bold>-0,019</bold></td>
									<td align="center"><bold>-0,009</bold></td>
									<td align="center">0,003</td>
									<td align="center"><bold>0,012</bold></td>
									<td align="center"><bold>0,0136</bold></td>
								</tr>
								<tr>
									<td align="left">PDI</td>
									<td align="center"><bold>0,047</bold></td>
									<td align="center"><bold>0,049</bold></td>
									<td align="center">-0,000</td>
									<td align="center">-0,007</td>
									<td align="center"><bold>0,011</bold></td>
									<td align="center">-0,008</td>
									<td align="center">1</td>
									<td align="center">0,003</td>
									<td align="center"><bold>0,159</bold></td>
									<td align="center"><bold>-0,283</bold></td>
									<td align="center"><bold>-0,183</bold></td>
									<td align="center"><bold>-0,6209</bold></td>
								</tr>
								<tr>
									<td align="left">IVC</td>
									<td align="center"><bold>0,013</bold></td>
									<td align="center">0,014</td>
									<td align="center"><bold>-0,015</bold></td>
									<td align="center">-0,008</td>
									<td align="center"><bold>-0,019</bold></td>
									<td align="center">-0,004</td>
									<td align="center"><bold>-0,524</bold></td>
									<td align="center">1</td>
									<td align="center"><bold>0,406</bold></td>
									<td align="center"><bold>-0,054</bold></td>
									<td align="center"><bold>-0,647</bold></td>
									<td align="center"><bold>0,1072</bold></td>
								</tr>
								<tr>
									<td align="left">MAS</td>
									<td align="center"><bold>-0,028</bold></td>
									<td align="center">-0,03</td>
									<td align="center"><bold>0,011</bold></td>
									<td align="center"><bold>-0,042</bold></td>
									<td align="center">0,002</td>
									<td align="center">-0,004</td>
									<td align="center"><bold>0,099</bold></td>
									<td align="center">0,28</td>
									<td align="center">1</td>
									<td align="center"><bold>-0,524</bold></td>
									<td align="center"><bold>-0,256</bold></td>
									<td align="center"><bold>-0,1381</bold></td>
								</tr>
								<tr>
									<td align="left">UAI</td>
									<td align="center"><bold>0,033</bold></td>
									<td align="center">0,036</td>
									<td align="center"><bold>-0,014</bold></td>
									<td align="center"><bold>0,036</bold></td>
									<td align="center"><bold>-0,009</bold></td>
									<td align="center">-0,001</td>
									<td align="center"><bold>-0,282</bold></td>
									<td align="center">0,070</td>
									<td align="center">-0,293</td>
									<td align="center">1</td>
									<td align="center"><bold>0,201</bold></td>
									<td align="center"><bold>0,1684</bold></td>
								</tr>
								<tr>
									<td align="left">LTO</td>
									<td align="center">0,004</td>
									<td align="center">0,004</td>
									<td align="center"><bold>0,008</bold></td>
									<td align="center"><bold>0,013</bold></td>
									<td align="center"><bold>0,011</bold></td>
									<td align="center">-0,005</td>
									<td align="center"><bold>0,065</bold></td>
									<td align="center">-0,493</td>
									<td align="center">-0,038</td>
									<td align="center">-0,014</td>
									<td align="center">1</td>
									<td align="center"><bold>-0,3208</bold></td>
								</tr>
								<tr>
									<td align="left">IND</td>
									<td align="center"><bold>-0,029</bold></td>
									<td align="center">-0,031</td>
									<td align="center">0,006</td>
									<td align="center">-0,006</td>
									<td align="center"><bold>-0,011</bold></td>
									<td align="center"><bold>0,009</bold></td>
									<td align="center"><bold>0,511</bold></td>
									<td align="center">0,439</td>
									<td align="center">-0,080</td>
									<td align="center">0,129</td>
									<td align="center">-0,546</td>
									<td align="center">1</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN5">
								<p>Obs.: bold numbers significant to 95%.</p>
							</fn>
							<fn id="TFN6">
								<p>Source: Survey Data</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
				<p>The highest Pearson’s correlation coefficient between those cultural dimensions is between the variables PDI and IVC (-0,5239) and PDI and IND (0,511). The correlation found, below 0,6, can be considered weak; it indicates that more individualistic cultures accept less power concentration, while cultures that accept such concentration show aspects of enjoying life (indulgence).</p>
				<p>As for Spearman’s correlation, the most expressive coefficients were between the LTO and IVC (-0,6471) and IND and PDI (-0,6209) variables, both considered moderate. It indicates that more individualistic cultures have a shorter-term vision, and more indulgent cultures would not accept power concentration.</p>
			</sec>
			<sec>
				<title>4.2. Identification of the level of accounting conservatism in companies</title>
				<p>Before identifying the level of the accounting conservatism, we ran assumption tests of regression models such as multicollinearity (<italic>Variance Inflation Factors</italic>- VIF) and heteroscedasticity (Modified Wald’s Test). The first one was attended, with factors ranging from 1,01 to 1,06. The second one pointed to a problem of heteroscedasticity, adjusted with regression by robust errors. All the regressions (OLS) were performed by controlling the fixed effects of industry (sector), country, and year. The results are in <xref ref-type="table" rid="t5">Table 5</xref>:</p>
				<p>
					<table-wrap id="t5">
						<label>Table 5.</label>
						<caption>
							<title>Results of the original accounting conservatism model and the addition of control variables company size and IFRS adoption</title>
						</caption>
						<graphic xlink:href="tabla5.jpg"/>
						<table>
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="left">Variables</th>
									<th align="center">Expected Signal</th>
									<th align="center">Model 1</th>
									<th align="center">Model 2</th>
									<th align="center">Model 3</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="left" rowspan="2">DΔNI<sub>it-1</sub></td>
									<td align="center" rowspan="2">+/-</td>
									<td align="left">-0.025***</td>
									<td align="left">-0.048***</td>
									<td align="left">-0.029***</td>
								</tr>
								<tr>
									<td align="left">(0.003)</td>
									<td align="left">(0.009)</td>
									<td align="left">(0.003)</td>
								</tr>
								<tr>
									<td align="left" rowspan="2">ΔNI<sub>it-1</sub></td>
									<td align="center" rowspan="2">+</td>
									<td align="left">-0.095***</td>
									<td align="left">-0.351***</td>
									<td align="left">-0.150***</td>
								</tr>
								<tr>
									<td align="left">(0.034)</td>
									<td align="left">(0.116)</td>
									<td align="left">(0.013)</td>
								</tr>
								<tr>
									<td align="left" rowspan="2">DΔNI<sub>it-1</sub>*ΔNI<sub>it-1</sub></td>
									<td align="center" rowspan="2">+</td>
									<td align="left">0.140***</td>
									<td align="left">0.294**</td>
									<td align="left">0.162***</td>
								</tr>
								<tr>
									<td align="left">(0.045)</td>
									<td align="left">(0.123)</td>
									<td align="left">(0.016)</td>
								</tr>
								<tr>
									<td align="left" rowspan="2">CONTR </td>
									<td align="center" rowspan="2">+/-</td>
									<td align="left"> </td>
									<td align="left">0.000</td>
									<td align="left">-0.023***</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">(0.000)</td>
									<td align="left">(0.004)</td>
								</tr>
								<tr>
									<td align="left" rowspan="2">CONTR * DΔNI<sub>it-1</sub></td>
									<td align="center" rowspan="2">+/-</td>
									<td align="left"> </td>
									<td align="left">0.003***</td>
									<td align="left">0.015***</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">(0.001)</td>
									<td align="left">(0.005)</td>
								</tr>
								<tr>
									<td align="left" rowspan="2">CONTR * ΔNI<sub>it-1</sub></td>
									<td align="center" rowspan="2">+</td>
									<td align="left"> </td>
									<td align="left">0.029**</td>
									<td align="left">0.114***</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">(0.014)</td>
									<td align="left">(0.038)</td>
								</tr>
								<tr>
									<td align="left" rowspan="2">CONTR * DΔNI<sub>it-1</sub>*ΔNI<sub>it-1</sub></td>
									<td align="center" rowspan="2">+</td>
                                    <td align="left"> </td>
									<td align="left">-0.015</td>
									<td align="left">0.081</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">(0.015)</td>
									<td align="left">(0.062)</td>
								</tr>
								<tr>
									<td align="left" rowspan="2">Constant</td>
                                    <td align="center" rowspan="2">+/-</td>
									<td align="left">-0.007</td>
									<td align="left">-0.034**</td>
									<td align="left">-0.008</td>
								</tr>
								<tr>
									<td align="left">(0.005)</td>
									<td align="left">(0.013)</td>
									<td align="left">(0.005)</td>
								</tr>
								<tr>
									<td align="left">Observations</td>
									<td align="left"> </td>
									<td align="left">54,484</td>
									<td align="left">54,484</td>
									<td align="left">54,484</td>
								</tr>
								<tr>
									<td align="left">R<sup>2</sup></td>
									<td align="left"> </td>
									<td align="left">0.042</td>
									<td align="left">0.067</td>
									<td align="left">0.066</td>
								</tr>
								<tr>
									<td align="left">FE sector-country-year</td>
									<td align="left"> </td>
									<td align="center">Yes</td>
									<td align="center">Yes</td>
									<td align="center">Yes</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN7">
								<p>Robust standard errors in parentheses; *** p&lt;0.01, ** p&lt;0.05, * p&lt;0.1</p>
							</fn>
							<fn id="TFN8">
								<p>Model 1: Original; Model 2: with variable control of company size; Model 3: with variable IFRS control.</p>
							</fn>
							<fn id="TFN9">
								<p>Graphic Subtitle : ΔNI<sub>it:</sub> variation in accounting net incoming of the company <italic>i</italic> of the year <italic>t-1</italic> to the <italic>t</italic> weighted by the total asset value at the beginning of the year <italic>t;</italic>DΔNI<sub>it-1</sub>: dummy for the variation of the company’s net accounting profit <italic>i</italic> of the year <italic>t-1</italic> to the year t, if indicates negative variation, assumes value 1 if ΔNI<sub>it</sub>&lt;0, and 0 to other cases;: variation in accounting net income of the company <italic>i</italic> of the year <italic>t-2</italic> to the <italic>t-1</italic> weighted by the total asset value at the beginning of the year <italic>t-1.</italic>CONTR: variable of size control (Total Asset- TA) and IFRS.</p>
							</fn>
							<fn id="TFN10">
								<p>Source: Survey data.</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
				<p>As shown in <xref ref-type="table" rid="t5">Table 5</xref>, there is a tendency for the companies in the sample to recognize economic losses more quickly than gains. We observe this tendency as a result of the transience of gains through the coefficient α<sub>3</sub> (0,140), the significance of the α<sub>2</sub> and α<sub>3</sub> coefficients, which allows statistical confirmation of the conservative behavior of these companies. </p>
				<p>To further analyze accounting conservatism in companies, we insert the size of the company (log AT) and the IFRS adoption as control variables in the model proposed by <xref ref-type="bibr" rid="B3">Ball and Shivakumar (2005</xref>). In both cases, the results related to conservatism (α<sub>3</sub>) are consistent with the original sample, with a positive and significant relation, although α<sub>7</sub> was not significant, it is not possible to infer the influence of the size and the IFRS adoption on the companies conservatism level.</p>
				<p>4.3. Analysis of the relation between the dimensions of national culture and accounting conservatism</p>
				<p>In general, according to <xref ref-type="bibr" rid="B29">Salter &amp; Lewis (2011</xref>), accounting conservatism may be related to the differences between countries, which can come from differences in cultural values. Salter and Lewis’ study (2011) corroborates the assumptions of <xref ref-type="bibr" rid="B15">Gray (1988</xref>) and <xref ref-type="bibr" rid="B11">Doupnik &amp; Tsakumis (2004</xref>), who present that culture is related to more conservative application of accounting rules in financial statements.</p>
				<p>Thus, we present in <xref ref-type="table" rid="t6">Table 6</xref> an individual analysis of the influence of each Hofstede’s cultural dimensions (2017). </p>
				<p>
					<table-wrap id="t6">
						<label>Table 6.</label>
						<caption>
							<title>Results of the relation between accounting conservatism and cultural dimension</title>
						</caption>
						<graphic xlink:href="tabla6.jpg"/>
						<table>
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="left">Variables</th>
									<th align="center">Model 1</th>
									<th align="center">Model 2</th>
									<th align="center">Model 3</th>
									<th align="center">Model 4</th>
									<th align="center">Model 5</th>
									<th align="center">Model 6</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="left" rowspan="2">DΔNI<sub>it-1</sub></td>
									<td align="left">-0.013*</td>
									<td align="center">-0.026***</td>
									<td align="center">-0.050***</td>
									<td align="center">-0.057***</td>
									<td align="center">-0.044***</td>
									<td align="center">0.001</td>
								</tr>
								<tr>
									<td align="left">(0.007)</td>
									<td align="center">(0.005)</td>
									<td align="center">(0.012)</td>
									<td align="center">(0.010)</td>
									<td align="center">(0.006)</td>
									<td align="center">(0.007)</td>
								</tr>
								<tr>
									<td align="left" rowspan="2">ΔNI<sub>it-1</sub></td>
									<td align="left">-0.116</td>
									<td align="center">-0.182***</td>
									<td align="center">-0.226***</td>
									<td align="center">-0.224***</td>
									<td align="center">-0.154***</td>
									<td align="center">-0.074</td>
								</tr>
								<tr>
									<td align="left">(0.075)</td>
									<td align="center">(0.050)</td>
									<td align="center">(0.054)</td>
									<td align="center">(0.103)</td>
									<td align="center">(0.055)</td>
									<td align="center">(0.053)</td>
								</tr>
								<tr>
									<td align="left" rowspan="2">DΔNI<sub>it-1</sub>*ΔNI<sub>it-1</sub></td>
									<td align="left">0.127</td>
									<td align="center">0.247***</td>
									<td align="center">0.311</td>
									<td align="center">0.173</td>
									<td align="center">0.035</td>
									<td align="center">0.463***</td>
								</tr>
								<tr>
									<td align="left">(0.117)</td>
									<td align="center">(0.079)</td>
									<td align="center">(0.215)</td>
									<td align="center">(0.137)</td>
									<td align="center">(0.084)</td>
									<td align="center">(0.141)</td>
								</tr>
								<tr>
									<td align="left" rowspan="2">CULT</td>
									<td align="left">0.000</td>
									<td align="center">0.000</td>
									<td align="center">0.001</td>
									<td align="center">-0.001***</td>
									<td align="center">0.000***</td>
									<td align="center">0.001**</td>
								</tr>
								<tr>
									<td align="left">(0.000)</td>
									<td align="center">(0.000)</td>
									<td align="center">(0.001)</td>
									<td align="center">(0.000)</td>
									<td align="center">(0.000)</td>
									<td align="center">(0.000)</td>
								</tr>
								<tr>
									<td align="left" rowspan="2">CULT *DΔNI<sub>it-1</sub></td>
									<td align="left">0.000*</td>
									<td align="center">0.000</td>
									<td align="center">0.001**</td>
									<td align="center">0.001***</td>
									<td align="center">0.000***</td>
									<td align="center">0.000***</td>
								</tr>
								<tr>
									<td align="left">(0.000)</td>
									<td align="center">(0.000)</td>
									<td align="center">(0.000)</td>
									<td align="center">(0.000)</td>
									<td align="center">(0.000)</td>
									<td align="center">(0.000)</td>
								</tr>
								<tr>
									<td align="left" rowspan="2">CULT *ΔNI<sub>it-1</sub></td>
									<td align="left">0.000</td>
									<td align="center">0.004**</td>
									<td align="center">0.003***</td>
									<td align="center">0.002</td>
									<td align="center">0.001</td>
									<td align="center">0.000</td>
								</tr>
								<tr>
									<td align="left">(0.001)</td>
									<td align="center">(0.002)</td>
									<td align="center">(0.001)</td>
									<td align="center">(0.001)</td>
									<td align="center">(0.001)</td>
									<td align="center">(0.001)</td>
								</tr>
								<tr>
									<td align="left" rowspan="2">CULT *DΔNI<sub>it-1</sub>*ΔNI<sub>it-1</sub></td>
									<td align="left">0.000</td>
									<td align="center">-0.004**</td>
									<td align="center">-0.004</td>
									<td align="center">0.000</td>
									<td align="center">0.004**</td>
									<td align="center">-0.005**</td>
								</tr>
								<tr>
									<td align="left">(0.002)</td>
									<td align="center">(0.002)</td>
									<td align="center">(0.004)</td>
									<td align="center">(0.002)</td>
									<td align="center">(0.002)</td>
									<td align="center">(0.002)</td>
								</tr>
								<tr>
                                    <td align="left" rowspan="2">Constant</td>
									<td align="left">-0.003</td>
									<td align="center">-0.044</td>
									<td align="center">-0.060</td>
									<td align="center">0.028**</td>
									<td align="center">0.006</td>
									<td align="center">-0.075**</td>
								</tr>
								<tr>
									<td align="left">(0.010)</td>
									<td align="center">(0.028)</td>
									<td align="center">(0.037)</td>
									<td align="center">(0.014)</td>
									<td align="center">(0.008)</td>
									<td align="center">(0.029)</td>
								</tr>
								<tr>
									<td align="left">Observations</td>
									<td align="left">54,484</td>
									<td align="center">54,484</td>
									<td align="center">54,484</td>
									<td align="center">54,484</td>
									<td align="center">54,484</td>
									<td align="center">54,484</td>
								</tr>
								<tr>
									<td align="left">R<sup>2</sup></td>
									<td align="left">0.042</td>
									<td align="center">0.048</td>
									<td align="center">0.049</td>
									<td align="center">0.045</td>
									<td align="center">0.060</td>
									<td align="center">0.055</td>
								</tr>
								<tr>
									<td align="left">FE sector-country-year</td>
									<td align="center">Yes</td>
									<td align="center">Yes</td>
									<td align="center">Yes</td>
									<td align="center">Yes</td>
									<td align="center">Yes</td>
									<td align="center">Yes</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN11">
								<p>Robust standard errors in parentheses; *** p&lt;0.01, ** p&lt;0.05, * p&lt;0.1</p>
							</fn>
							<fn id="TFN12">
								<p>Graphic Subtitle: CULT: cultural dimensions; UAI: <italic>score</italic> of cultural dimension of uncertainty avoidance (Mod. 1); IVC: individualistic <italic>versus</italic> collectivistic (Mod. 2); MAS: <italic>score</italic> of cultural dimension of masculine <italic>versus</italic> feminine (Mod. 3); PDI: <italic>score</italic> of cultural dimension of power distance (Mod. 4); LTO: <italic>score</italic> of cultural dimension of long-term orientation <italic>versus</italic> short-term orientation (Mod. 5); IND: <italic>score</italic> of cultural dimension of indulgence <italic>versus</italic> restraint (Mod. 6).</p>
							</fn>
							<fn id="TFN13">
								<p>Source: Survey data.</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
				<p>The results show the existence of a positive relationship between the UAI and accounting conservatism. However, it is not fair to say that the UAI can influence it, as α<sub>7</sub> is not significant. The same happens with coefficient α<sub>6,</sub> which deals with the early recognition of gains, so it is not significant either.</p>
				<p>This result goes against <xref ref-type="bibr" rid="B15">Gray’s study (1988</xref>), which points out that accounting conservatism can be related to the UAI, because the preference for more conservative accounting in profit measurement is consistent with the strong UAI, due to a concern with security and the need to adopt a cautious stance when dealing with the uncertainties of future events. </p>
				<p>About H<sub>1</sub>, which assumes a positive relationship between the cultural dimension UAI and the practice of accounting conservatism, the results allowed us to reject the hypothesis. This finding is the opposite of that observed by <xref ref-type="bibr" rid="B30">Salter and Niswander (1995</xref>), <xref ref-type="bibr" rid="B33">Sudarwan and Fogarty (1996</xref>), <xref ref-type="bibr" rid="B32">Schultz and Lopez (2001</xref>), and <xref ref-type="bibr" rid="B26">Lima et al. (2016</xref>). However, it is important to say that those surveys were biased, usually, on the auditor’s and accountants’ opinions, rather than working with conservatism data directly.</p>
				<p>Regarding the results of the relation between the conservatism and the IVC dimension, the coefficient α<sub>7</sub> (-0,0038) indicates a negative relation between the variables with the significance of 5%, allowing to infer that the less individualistic companies are, the bigger is the level of accounting conservatism.</p>
				<p>These results do not corroborate those found by <xref ref-type="bibr" rid="B15">Gray (1988</xref>), who says that companies in less individualistic countries show more accounting conservatism. On the other hand, they are the opposite to those found by <xref ref-type="bibr" rid="B29">Salter and Lewis’ survey (2011</xref>), which confirmed a strong positive relationship between the corporate values of IVC and the unconditional conservatism. However, we should consider that in this study, the conditional conservatism was the one approached, different from the Salter and Lewis’ study (2011), which may justify the contradictory results found.</p>
				<p>Regarding H<sub>2</sub>, that expected a negative relation between the IVC and the accounting conservatism; the results do not allow us to reject the H<sub>2,</sub> which does not corroborate the studies of <xref ref-type="bibr" rid="B11">Doupnik and Tsakumis (2004</xref>) and <xref ref-type="bibr" rid="B29">Salter &amp; Lewis (2011</xref>), as well as <xref ref-type="bibr" rid="B15">Gray’s (1988</xref>). However, when excluding Chinese, South Korean, and Taiwanese companies, the relation becomes positive, indicating that companies from more individualistic countries would be more conservative, which goes against the theoretical prediction. This result was also found by <xref ref-type="bibr" rid="B33">Sudarwan and Fogarty (1996</xref>) with Indonesian companies, a country with a low level of IVC in an environment of accounting standards changing. </p>
				<p>For the MAS construct, the results of <xref ref-type="table" rid="t6">Table 6</xref> indicate a negative relation between the accounting conservatism and companies from countries with more masculine cultural features (α<sub>7</sub> = -0,0036); nevertheless, without statistical significance. The coefficient α<sub>6</sub> (-0,003), significant to 1%, allows identifying a negative relation between the MAS and the early recognition of earnings, which can be explained by the own limitation imposed many times by the accounting standards.</p>
				<p>According to <xref ref-type="bibr" rid="B15">Gray (1988</xref>), the MAS shows a negative relation with the conservatism, as the companies from more culturally masculine countries present more competitively and look for more earnings and more performance, which implies a bigger influence on the managers and financial statements preparers, that would theoretically result in a tendency to present a less conservative bias in the income statement. However, we cannot confirm such relationship in this study.</p>
				<p>The negative relationship between the MAS and the conservatism, as expected in H<sub>3</sub> was rejected, due to the coefficient not presenting significance, except from the model in which we captured the variable MAS through a <italic>dummy</italic> (&gt; 50 = 1). This result does not corroborate <xref ref-type="bibr" rid="B15">Gray’s propositions (1988</xref>) and <xref ref-type="bibr" rid="B30">Salter and Niswander’s study (1995</xref>), pointing out that feminine societies are more conservatives than masculine ones.</p>
				<p>Regarding the relation between conservatism and the PDI, we expected a positive relation, so that the bigger the accounting conservatism presented by the companies in the survey is, the bigger would be the PDI level observed. </p>
				<p>When relating the conservatism with the PDI, through analysis of coefficient α<sub>7</sub> (<xref ref-type="table" rid="t6">Table 6</xref>)<sub>,</sub> it is not possible to confirm the relation expected, due to the lack of statistical significance and the contrary signal presented by the coefficient. The same happens when analyzing the coefficient α<sub>6</sub>, which is positive, confirming the relation expected, but without any statistical significance.</p>
				<p>To the PDI, we expected a positive relationship with accounting conservatism, as described in H<sub>4</sub>. However, the results of the study led to the rejection of the hypothesis, due to the nonexistence of the statistical significance among the variables, as well as the contrary signal of the coefficient. This result encounters with <xref ref-type="bibr" rid="B33">Sudarwan and Fogarty’s studies (1996</xref>), made in Indonesia, a country that has a high <italic>score</italic> for PDI (78); as well as the survey of <xref ref-type="bibr" rid="B26">Lima et al. (2016</xref>), with Brazilians accounting operators, that also presented a high level of this dimension (69).</p>
				<p>We confirmed the expected positive relationship between the LTO and the level of accounting conservatism, by the analysis of the coefficient α<sub>7</sub> (0,0038) that proves significant to 5%. The analysis of the coefficient α<sub>6</sub> (0,0010), however, does not confirm the positive relation of the dimension with the early recognition of gains, because the coefficient is not statistically relevant. The results of the survey corroborate those found by Radebaugh and Gray (2002), which pointed out that accounting conservatism is influenced positively by this cultural dimension. </p>
				<p>As for the LTO, as expressed by the hypothesis H<sub>5</sub>, was expected to be a positive relation. Only when we excluded companies from China, South Korea, and Taiwan, the result did not appear significative. The previous studies have not related LTO with the accounting conservatism. Therefore, this result is important insofar as it empirically tests a theoretical proposition and, at least for the total sample, finds empirical confirmation.</p>
				<p>According to <xref ref-type="bibr" rid="B23">Hofstede, Hofstede, and Minkov (2010</xref>), indulgence involves a tendency for individuals in a society to indulge in human design, enjoying life. Societies with higher scores in this dimension tend to be less conservative. Thus, from the analysis of the α<sub>7</sub> (-0,004) coefficient, the researched sample confirms the expected effect, so that IND is negatively associated with accounting conservatism, with a statistical significance of 5%. </p>
				<p>For the last dimension tested in the study, the IND, we expected a negative relation with accounting conservatism, according to H<sub>6</sub>. Based on the results, we cannot reject H<sub>6</sub> (except for the models with control variables in <xref ref-type="table" rid="t5">Table 5</xref>, that did not prove to be significant), confirming the theoretical prediction that companies from more indulgent societies adopt accounting practices which are less conservative. </p>
				<p>In general, we can infer that companies from more individualistic and indulgent countries may have less conservative accounting practices, while those from countries with higher LTO culture exhibit the opposite (more conservative) behavior. </p>
			</sec>
		</sec>
		<sec sec-type="conclusions">
			<title>5. FINAL CONSIDERATIONS</title>
			<p>The present study had a goal to evaluate the influence of Hofstede’s cultural dimensions (2017) on the level of accounting conservatism of companies from different countries. To this end, we researched 7.798 companies and 54.484 observations extracted from 32 countries.</p>
			<p>This study sought empirical evidence that could contribute to the reflection and discussion on AIQ. Understanding how conservatism appears in financial statements is important because it assists in the economic and financial analysis of companies, contributes to the regulatory processes of accounting, and promotes the issuance of higher quality financial statements. </p>
			<p>In general, through the findings and corroborating the literature, we conclude that cultural factors from country to country do influence accounting information. Specifically, in the case of this study, certain cultural dimensions, especially IVC, LTO, and IND are related to accounting conservatism, the former positively, and the latter negatively.</p>
			<p>One of the main implications of this study is that the comparability of the companies’ financial statements from different countries may not be a simple task to achieve, even if accounting standards such as IFRS is used due to cultural differences among countries, affecting the AIQ.</p>
			<p>Another important implication of the study is that the analysis of accounting quality at the international level, specifically in the case of the accounting conservatism, has to take into account the cultural factors of each country, which should be considered by the respective national regulatory bodies, in order to produce accounting principles more appropriate to the reality of each nation. </p>
			<p>Finally, it is important to highlight that this study has its limitations. The first one is the assumption of perennial national culture. This way, as recommendations for future studies, it may be interesting to consider that a country’s national culture may change in the long-term. Thus, studies with longer time horizons could identify countries’ cultural changes and how this would affect a long-term AIQ. </p>
			<p>Another limitation of this study is that it does not consider regional differences within each country. Thus, a point to be discussed in future research is the condition that, even within a single country, different cultures may exist, and these may influence accounting conservatism differently.</p>
		</sec>
	</body>
	<back>
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	</back>
	<!--sub-article article-type="translation" id="s1" xml:lang="pt">
		<front-stub>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Artigo</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Conservadorismo Contábil e Cultura Nacional</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-4428-7010</contrib-id>
					<name>
						<surname>Wronski</surname>
						<given-names>Pollyanna Gracy</given-names>
					</name>
					<xref ref-type="aff" rid="aff10"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-3498-0938</contrib-id>
					<name>
						<surname>Klann</surname>
						<given-names>Roberto Carlos</given-names>
					</name>
					<xref ref-type="aff" rid="aff20"><sup>2</sup></xref>
				</contrib>
			</contrib-group>
			<aff id="aff10">
				<label>1</label>
				<institution content-type="original">Centro de Ensino Superior de Realeza, Realeza, PR, Brasil</institution>
				<institution content-type="orgname">Centro de Ensino Superior de Realeza</institution>
				<addr-line>
					<city>Realeza</city>
					<state>PR</state>
				</addr-line>
				<country country="BR">Brasil</country>
			</aff>
			<aff id="aff20">
				<label>2</label>
				<institution content-type="original">Universidade Regional de Blumenau, Blumenau, SC, Brasil</institution>
				<institution content-type="orgname">Universidade Regional de Blumenau</institution>
				<addr-line>
					<city>Blumenau</city>
					<state>SC</state>
				</addr-line>
				<country country="BR">Brasil</country>
			</aff>
			<author-notes>
				<corresp id="c10">
					<email>falecomapolly@hotmail.com</email>
				</corresp>
				<corresp id="c20">
					<email>rklann@furb.br</email>
				</corresp>
			</author-notes>
			<abstract>
				<title>RESUMO</title>
				<p>O presente estudo teve como objetivo avaliar a influência das dimensões culturais de Hofstede (2017) no nível de conservadorismo contábil de empresas de diferentes países. Com base em dados da <italic>Thomson Reuters</italic> e uma amostra final de 54.484 observações (32 países), a análise compreendeu o período de 2010 a 2016 e fez uso do modelo de Ball e Shivakumar (2005) para mensurar o conservadorismo contábil. Quando analisada cada dimensão cultural individualmente, foi observado que empresas de países com cultura mais individualista relacionaram-se negativamente com o conservadorismo contábil, enquanto países com orientação ao longo prazo apresentaram comportamento oposto, conforme as hipóteses de pesquisa. De maneira geral, conclui-se que a cultura nacional pode impactar a qualidade das informações contábeis, influenciando para um maior ou menor grau de conservadorismo contábil. Uma das principais contribuições deste estudo é a compreensão de que fatores culturais intrínsecos dentro de cada nação podem influenciar na qualidade da informação contábil. </p>
			</abstract>
			<kwd-group xml:lang="pt">
				<title>Palavras-chave:</title>
				<kwd>Conservadorismo contábil</kwd>
				<kwd>Qualidade da Informação Contábil</kwd>
				<kwd>Cultura Nacional</kwd>
				<kwd>Dimensões Culturais</kwd>
			</kwd-group>
		</front-stub>
		<body>
			<sec sec-type="intro">
				<title>1. INTRODUÇÃO</title>
				<p>Este estudo analisa a influência da cultura nacional, especificamente das dimensões culturais de Hofstede (<xref ref-type="bibr" rid="B19">2017</xref>), no nível de conservadorismo contábil de empresas de diferentes países. Procurou-se testar empiricamente a abordagem teórica proposta por <xref ref-type="bibr" rid="B15">Gray (1988</xref>), de que a cultura influencia o desenvolvimento da Contabilidade, o que pode ocorrer de maneira distinta em cada país.</p>
				<p>Pesquisas que verifiquem a diversidade cultural dos países nos negócios, empresas e na Contabilidade são apontadas como de grande importância por diversos estudos nacionais e internacionais (<xref ref-type="bibr" rid="B15">Gray, 1988</xref>; Weffort, 2005; <xref ref-type="bibr" rid="B8">Chand, 2012</xref>; Riahi &amp; Omn, 2013; Kitching, Mashruwala &amp; Pevzner, 2016; Rodrigues et al., 2017), pois contribuem ao identificar divergências e semelhanças na forma de realização da contabilidade nos países estudados.</p>
				<p>Portanto, este estudo traz outra perspectiva de análise sobre a qualidade da informação contábil, cujo foco muitas vezes recai sobre os problemas de agência, ao abordar um aspecto exógeno, da cultura dos países, como capaz de influenciar os níveis de conservadorismo contábil apresentados por empresas ao redor do mundo.</p>
				<p>O conservadorismo contábil pode influenciar a qualidade da informação contábil (QIC) ao melhorar o controle interno das organizações (<xref ref-type="bibr" rid="B13">Goh &amp; Li, 2011</xref>), funcionar como um mecanismo de governança corporativa, reduzindo o comportamento oportunista dos gestores (<xref ref-type="bibr" rid="B35">Watts, 2003</xref>), contrabalançar o excesso de otimismo dos gestores na superestimação dos lucros, a qual é mais perigosa do que a sua subestimação em termos de penalidades em sua divulgação (<xref ref-type="bibr" rid="B16">Hendriksen &amp; Van Breda, 1999</xref>), ou reduzir a discricionariedade e a subjetividade dos administradores no momento da divulgação do lucro contábil (Ball, Kothari &amp; Robin, 2000).</p>
				<p>Por outro lado, pode enviesar o reconhecimento dos fatos contábeis, reduzindo a QIC, pois sua prática aumenta a assimetria informacional dos contratos, elevando os custos de capital externo e favorecendo o aumento da restrição financeira das empresas que necessitam captar recursos (<xref ref-type="bibr" rid="B16">Hendriksen &amp; Van Breda, 1999</xref>). </p>
				<p>Diversos fatores podem afetar a utilização do conservadorismo contábil nas demonstrações contábeis, como a adoção de um novo padrão contábil (<xref ref-type="bibr" rid="B28">Santana &amp; Klann, 2016</xref>); a concentração de votos (<xref ref-type="bibr" rid="B31">Sarlo Neto, Rodrigo &amp; Almeida, 2010</xref>), pois os acordos realizados entre os acionistas impactam na diminuição do nível do conservadorismo das empresas; bem como a própria cultura, visto que a formação histórica de cada país, o nível de controle do governo, a estrutura da propriedade empresarial, juntamente com a influência cultural recebida são possíveis causas das diferentes práticas contábeis utilizadas por diferentes países (<xref ref-type="bibr" rid="B7">Cieslewicz, 2014</xref>). </p>
				<p>O termo cultura equivale a um conjunto de significados e signos construídos dentro de uma sociedade, na qual os indivíduos que a ela pertencem relacionam-se entre si. Esse conjunto abrange as formas de trabalho, lazer e moradia, a linguagem, a religião, a culinária, as relações de poder, estrutura da família, sistemas sociais, entre outros (<xref ref-type="bibr" rid="B9">Chaui, 2008</xref>). Para <xref ref-type="bibr" rid="B17">Hofstede (1980</xref>), a cultura não consiste em algo que possa ser herdado, e sim adquirido por meio do ambiente social no qual o homem se insere. Pode ser construída, reconstruída e transformada mediante a necessidade do ambiente, pois não se relaciona somente com um indivíduo, mas com toda a organização na qual ele está inserido (<xref ref-type="bibr" rid="B17">Hofstede, 1980</xref>; <xref ref-type="bibr" rid="B18">1991</xref>; 2001). </p>
				<p>A Contabilidade influencia os ambientes sociais e culturais onde se insere, e a cultura é percebida como um elemento fundamental para a compreensão das normas e valores que regem esses ambientes (<xref ref-type="bibr" rid="B25">Hopwood &amp; Miller, 1994</xref>). Desta maneira, as diferenças culturais entre os indivíduos podem afetar as relações dentro da organização, e quanto maior elas forem, mais díspares são as práticas administrativas, organizacionais e estratégicas (<xref ref-type="bibr" rid="B2">Ariño &amp; De La Torre, 1998</xref>). </p>
				<p>Conforme <xref ref-type="bibr" rid="B15">Gray (1988</xref>), a cultura influencia o desenvolvimento da Contabilidade nas empresas, além de impactar em suas práticas de forma distinta de país para país. A literatura, por sua vez, reconhece a influência do fator cultura na Contabilidade e não exclui os eventuais impactos que pode causar nos relatórios financeiros (<xref ref-type="bibr" rid="B27">Justino, Albuquerque, Quirós &amp; Rodrigues 2017</xref>). </p>
				<p>Desta maneira, as divergências entre os países ganham espaço como objeto de investigação, e a realização desses estudos torna-se importante porque permite a visualização dos fatores ambientais que descrevem as divergências na Contabilidade (<xref ref-type="bibr" rid="B34">Verma, 1998</xref>). Com base nas predições teóricas que apontam uma relação entre a cultura nacional e a Contabilidade, formulou-se então a seguinte pergunta de pesquisa: <bold>qual a influência da cultura nacional no nível de conservadorismo contábil das empresas?</bold> A fim de responder <bold>à</bold> pergunta de pesquisa, este estudo tem como objetivo geral avaliar a influência das dimensões culturais de Hofstede (2017) no nível de conservadorismo contábil de empresas de diferentes países. </p>
				<p>De maneira geral, os resultados apontam elevada dispersão em relação ao nível de conservadorismo contábil observado nas empresas analisadas. Além disso, tais empresas são provenientes, na maior parte, de países com maior distância do poder, com uma cultura mais preocupada com valores femininos e coletivos, com maior aversão a situações de incerteza, uma cultura orientada para o longo prazo e com menor <italic>score</italic> para indulgência. Em relação à influência da cultura no conservadorismo contábil, os resultados mostram que empresas de países mais individualistas e de caráter indulgente podem apresentar práticas contábeis menos conservadoras, enquanto aquelas de países com cultura de maior orientação ao longo prazo apresentam comportamento mais conservador. </p>
				<p>Em uma perspectiva teórica, a realização deste estudo visa contribuir com investigações sobre a QIC, buscando ampliar os limites do conhecimento a respeito dos fatores culturais que podem influenciar a existência e o nível do conservadorismo contábil em diferentes países. Este estudo lança luz para a discussão da influência das normas contábeis na qualidade da informação contábil, ao evidenciar que fatores externos às empresas, como a cultura do país, podem influenciar o nível de conservadorismo contábil nas demonstrações contábeis de empresas de diversos países. </p>
				<p>Essa questão deve ser levada em conta por órgãos reguladores, na sua busca por maior comparabilidade das informações contábeis em âmbito internacional, bem como por analistas e investidores, ao analisar empresas de diferentes países. Os resultados deste estudo apontam que tais empresas podem apresentar níveis diferenciados de qualidade da informação contábil, ainda que ambas utilizem as normas contábeis internacionais ou os padrões contábeis norte-americanos, por exemplo.</p>
				<p>Quanto ao avanço na literatura, os pressupostos de <xref ref-type="bibr" rid="B15">Gray (1988</xref>) em relação ao conservadorismo contábil e à cultura nacional já foram analisados por diversos autores (<xref ref-type="bibr" rid="B32">Schultz &amp; Lopez, 2001</xref>; <xref ref-type="bibr" rid="B10">Doupnik &amp; Richter, 2004</xref>; <xref ref-type="bibr" rid="B12">Doupnik &amp; Riccio, 2006</xref>; Tsakumis, 2007), mas apenas na forma de experimentos e entrevistas, que avaliaram as interpretações e julgamentos de profissionais da contabilidade. Este estudo avança ao utilizar dados extraídos de demonstrações contábeis, assim como <xref ref-type="bibr" rid="B29">Salter e Lewis (2011</xref>), que já apresentaram o julgamento dos preparadores no momento de sua elaboração.</p>
				<p>O diferencial deste estudo em relação ao de <xref ref-type="bibr" rid="B29">Salter e Lewis (2011</xref>) é que este utilizou 32 países e considerou as seis dimensões culturais de Hofstede (2017), enquanto aquele contou com 14 países e analisou apenas três dimensões culturais. </p>
			</sec>
			<sec>
				<title>2. REFERENCIAL TEÓRICO E FUNDAMENTAÇÃO DAS HIPÓTESES DA PESQUISA</title>
				<p>
					<xref ref-type="bibr" rid="B35">Watts (2003</xref>) afirma que a prática do conservadorismo tem sua origem no século XIX, pois os profissionais de contabilidade precisavam provisionar todas as perdas prováveis das empresas antes de realizar qualquer distribuição do seu patrimônio. No entanto, para <xref ref-type="bibr" rid="B4">Basu (1997</xref>), sua origem é do século XV e, mesmo ante inúmeras críticas frente ao seu uso, o conservadorismo ainda tem sido muito utilizado nas últimas três décadas (<xref ref-type="bibr" rid="B35">Watts, 2003</xref>).</p>
                <p>Gray (1980) define o conservadorismo como a preferência no uso de uma abordagem cautelosa para mensuração dos eventos futuros em oposição ao mercado competitivo e otimista, como forma de prevenção dos riscos. Seu conceito de conservadorismo foi bifurcado em dois subconceitos, o conservadorismo condicional e o conservadorismo incondicional (<xref ref-type="bibr" rid="B5">Beaver &amp; Ryan, 2005</xref>). </p>
				<p>O conservadorismo condicional representa o reconhecimento enviesado das más notícias, ocorrendo mais antecipadamente do que as boas notícias (<xref ref-type="bibr" rid="B4">Basu, 1997</xref>; Ahmed et al., 2000; Ball et al., 2000; <xref ref-type="bibr" rid="B3">Ball &amp; Shivakumar, 2005</xref>; <xref ref-type="bibr" rid="B6">Brown Jr, He &amp; Teitel, 2006</xref>). Sua utilização favorece a produção de informações mais transparentes e fiéis aos investidores, sem que elas sejam otimistas em excesso (Lopes, 2002). A condição assimétrica trazida pela prática, no reconhecimento de ganhos e perdas beneficia os utilizadores das demonstrações contábeis, sendo essencial para mitigar os hábitos oportunistas dos gestores (<xref ref-type="bibr" rid="B35">Watts, 2003</xref>).</p>
				<p>O conservadorismo incondicional decorre da escolha entre duas formas de mensuração e reconhecimento de eventos, sendo as duas igualmente válidas, em que se opta por aquela que resulte na menor avaliação do patrimônio. Tem em sua base a incerteza, já que afeta a continuidade das empresas em relação às futuras demandas (<xref ref-type="bibr" rid="B16">Hendriksen &amp; Van Breda, 1999</xref>). Neste estudo, o foco está voltado para o conservadorismo condicional, capturado a partir do modelo de <xref ref-type="bibr" rid="B3">Ball e Shivakumar (2005</xref>). </p>
				<p>O conservadorismo contábil, como característica da QIC, tem sido amplamente investigado no meio acadêmico, com pesquisadores procurando observar quais fatores são determinantes para sua utilização. Um dos primeiros que consideraram a cultura como variável impactante para a presença do conservadorismo entre países foi <xref ref-type="bibr" rid="B15">Gray (1988</xref>). A partir de concepções teóricas, o autor relacionou o conservadorismo com os desejos e necessidades de uma cultura, de maneira que se o país objetivar a redução de incertezas e ser menos individualista, evidenciará uma tendência maior em ser conservador. </p>
				<p>O estudo de <xref ref-type="bibr" rid="B15">Gray (1988</xref>) contemplou três das quatro dimensões identificadas por <xref ref-type="bibr" rid="B17">Hofstede (1980</xref>) até então: a aversão à incerteza (AVER), o individualismo versus o coletivismo (IND) e a masculinidade versus feminilidade (MASC). O autor sustentou teoricamente que países com maior AVER, mais coletivistas e com valores femininos eram mais conservadores na preparação de seus demonstrativos contábeis.</p>
				<p>Para <xref ref-type="bibr" rid="B17">Hofstede (1980</xref>), a dimensão de AVER relaciona-se com o nível de estresse de uma sociedade diante de um futuro desconhecido. Logo, essa dimensão não trata de um comportamento social, mas de uma busca do homem pela verdade e indica, culturalmente, até que ponto os membros de uma sociedade se encontram confortáveis ou desconfortáveis em situações diferentes e desconhecidas. Ao tratar da AVER, <xref ref-type="bibr" rid="B15">Gray (1988</xref>) afirma que essa dimensão é a que mais se relaciona, positivamente, com o conservadorismo contábil. Assim, a preferência pela adoção de medidas mais conservadoras frente aos lucros é consistente com um cenário de alta AVER (H<sub>1</sub>), pois uma preocupação com a prudência e a segurança conduz à adoção de abordagens cautelosas no reconhecimento de eventos futuros. </p>
				<p>A dimensão do IND é caracterizada por <xref ref-type="bibr" rid="B17">Hofstede (1980</xref>) como a integração de indivíduos em grupos primários e revela o grau de integração dos indivíduos dentro de um grupo. Em uma organização individualista, seus membros possuem uma visão mais competitiva, mais assertiva, e não existem laços entre os seus componentes, cada um cuida de si e de sua família imediata. Já na visão coletivista, desde o nascimento é percebida uma integração e coesão entre os grupos na sociedade, a visão de família é mais alargada, estendendo-se a tios, tias e avós, e o sentido do coletivo não tem sentido político, referindo-se ao Estado, mas tem relação com o grupo. </p>
				<p>O individualismo definido por <xref ref-type="bibr" rid="B17">Hofstede (1980</xref>) pode ser ligado ao excesso de confiança do indivíduo, ou seja, em sociedades com alto IND, mais decisões são tomadas pelo indivíduo impulsionadas por excesso de confiança (<xref ref-type="bibr" rid="B9">Chaui, 2008</xref>). </p>
				<p>
					<xref ref-type="bibr" rid="B15">Gray (1988</xref>) relacionou o conservadorismo contábil à dimensão cultural do IND, observando que sociedades mais individualistas possuem menor conservadorismo contábil (H<sub>2</sub>). Tal relação negativa também foi verificada por <xref ref-type="bibr" rid="B30">Salter e Niswander (1995</xref>) e Salter e Lewis (<xref ref-type="bibr" rid="B29">2011</xref>), enquanto <xref ref-type="bibr" rid="B33">Sudarwan e Fogarty (1996</xref>) observaram relações positivas entre o IND e o conservadorismo contábil em estudo na Indonésia. </p>
				<p>A dimensão MASC relaciona, conforme <xref ref-type="bibr" rid="B17">Hofstede (1980</xref>), a divisão de papéis emocionais entre homens e mulheres, que podem refletir visões diferentes dentro de uma sociedade. Consoante o autor, as mulheres diferem menos entre as sociedades que os homens, sendo que elas conservam valores como a modéstia e o carinho, já os homens são mais assertivos e competitivos. O polo assertivo tem sido chamado de “masculino”, enquanto o modesto e atencioso, de polo “feminino” (<xref ref-type="bibr" rid="B20">Hofstede, 1998</xref>). </p>
				<p>Para <xref ref-type="bibr" rid="B15">Gray (1988</xref>), a MASC associa-se de forma negativa ao conservadorismo, porquanto sociedades masculinas mais competitivas buscam mais resultados, desempenho e eficiência, exercendo maior influência sobre os gestores e preparadores das demonstrações contábeis, que nesse caso tenderiam a apresentar um viés menos conservador na apuração dos resultados (H<sub>3</sub>). Alinhados aos pressupostos descritos por Gray (<xref ref-type="bibr" rid="B15">1988</xref>) estão os resultados encontrados por <xref ref-type="bibr" rid="B30">Salter e Niswander (1995</xref>) e Salter e Lewis (<xref ref-type="bibr" rid="B29">2011</xref>), enquanto <xref ref-type="bibr" rid="B33">Sudarwan e Fogarty (1996</xref>) não encontraram relação significativa entre essas variáveis.</p>
				<p>
					<xref ref-type="bibr" rid="B17">Hofstede (1980</xref>) identifica os problemas que envolvem a desigualdade humana dentro da dimensão distância do poder (DP), a qual reflete a medida com que os membros com menor poder dentro das organizações aceitam e até mesmo esperam que o poder seja distribuído de forma desigual. <xref ref-type="bibr" rid="B14">Goodwin, Goodwin e Fiedler (2000</xref>) identificaram que indivíduos de países com índice elevado de DP mostraram-se menos propensos a se envolverem com a prática de gerenciamento de resultados, representando um retrato mais fiel e realista da empresa. </p>
                <p>Almeida, Lopes e Corrar (<xref ref-type="bibr" rid="B1">2011</xref>) apontam que quanto maior o GR, menor será o grau de conservadorismo contábil observado. Desta maneira, supondo uma relação negativa entre o GR e uma alta DP e uma relação também negativa entre o GR e o conservadorismo contábil, supõe-se uma relação positiva entre a alta DP e a prática do conservadorismo contábil (H<sub>4</sub>). </p>
				<p>A quinta dimensão identificada por <xref ref-type="bibr" rid="B21">Hofstede et al. (2008</xref>), orientação em longo prazo <italic>versus</italic> orientação em curto prazo (OLP), relaciona a escolha do foco para os esforços das pessoas: o futuro ou o presente e o passado. Para o autor, uma sociedade focada em valores culturais que se preocupa com uma OLP apresenta uma visão voltada para o futuro, poupa economicamente e apresenta valores como persistência e austeridade, diferentemente da orientação em curto prazo, cujo foco volta-se ao passado e ao presente. </p>
				<p>Desta forma, em uma sociedade cujos valores se voltam a uma orientação em curto prazo, os resultados mais importantes são aqueles percebidos e evidenciados em curto prazo. Assim, no contexto apresentado, quanto maior a OLP de uma determinada sociedade ou país, maior será o grau de conservadorismo apresentado por ele (H<sub>5</sub>). </p>
				<p>A sexta dimensão descrita por <xref ref-type="bibr" rid="B23">Hofstede, Hofstede e Minkov (2010</xref>), indulgência <italic>versus</italic> restrição (INDUL), ainda não foi escopo de estudos na literatura contábil que envolvam a prática do conservadorismo contábil. Esses autores definem essa dimensão como uma tendência de os indivíduos se permitirem desfrutar de desenhos humanos, aproveitando a vida. </p>
				<p>Relacionando a dimensão com a prática do conservadorismo, acredita-se que sociedades mais indulgentes, mais propensas a aproveitar a vida, são menos conservadoras, pois, conforme <xref ref-type="bibr" rid="B15">Gray (1988</xref>), o conservadorismo se caracteriza pelo uso da prudência e da cautela, em que os contabilistas mais conservadores optam por uma contabilidade mais cautelosa, a fim de lidar com a incerteza de eventos futuros (H<sub>6</sub>). </p>
				<p>Com base no exposto, apresenta-se na <xref ref-type="fig" rid="f10">Figura 1</xref> o comportamento esperado para o conservadorismo contábil nas empresas analisadas em relação a cada dimensão da cultura nacional dos países.</p>
				<p>
					<fig id="f10">
						<label>Figura 1.</label>
						<caption>
							<title>Conservadorismo e Cultura Nacional</title>
						</caption>
						<graphic xlink:href="1808-2386-bbr-17-03-344-gf10.jpg"/>
						<attrib>Fonte: elaboração própria</attrib>
					</fig>
				</p>
				<p>Espera-se que as dimensões de aversão à incerteza (AVER), distância do poder (DP) e orientação para o longo prazo (OLP) estejam relacionadas positivamente aos níveis de conservadorismo contábil, enquanto o individualismo (IND), a masculinidade (MASC) e a indulgência (INDUL) apresentem comportamento inverso.</p>
				<p>No entanto, nem a literatura prévia nem este estudo analisam a interdependência dessas dimensões culturais e seu efeito sobre o conservadorismo contábil. Apesar dessa limitação, é possível pressupor que a dimensão cultural mais forte de uma determinada nação possa se sobrepor às demais em relação ao conservadorismo contábil. </p>
				<p>Por exemplo, presume-se que um país extremamente masculino, ainda que tenha traços culturais moderados de aversão à incerteza, tenderá a um comportamento menos conservador. Por outro lado, um país com elevada distância do poder, ainda que tenha traços de individualismo, por exemplo, tenderá a um maior conservadorismo contábil. Portanto, o arranjo cultural entre as dimensões em cada nação pode ser bastante diverso, o que implica possíveis diferentes efeitos sobre o conservadorismo contábil em cada país.</p>
			</sec>
			<sec sec-type="methods">
				<title>3. PROCEDIMENTOS METODOLÓGICOS</title>
				<p>Por meio da base de dados Thomson Reuters®, a população do estudo foi composta por 8.769 empresas de capital aberto, de 32 países, com dados extraídos no período de 2010 a 2016, totalizando 61.383 observações. Foram excluídos da amostra <italic>outliers</italic> (acima de 3 desvios-padrão) e empresas com Ativo Total inferior a US$ 100 mil, conforme detalhado na <xref ref-type="table" rid="t10">Tabela 1</xref>:</p>
				<p>
					<table-wrap id="t10">
						<label>Tabela 1.</label>
						<caption>
							<title>Empresas que compõem a amostra</title>
						</caption>
						<table>
							<colgroup>
								<col span="3"/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="left" colspan="3">Descrição</th>
									<th align="center">Empresas</th>
									<th align="center" colspan="2">Observações</th>
									<th align="center" colspan="2">% População</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="left" colspan="3">População</td>
									<td align="center">8.769 </td>
									<td align="center" colspan="2">61.383</td>
									<td align="center" colspan="2">100% </td>
								</tr>
								<tr>
									<td align="left" colspan="3">(-) Exclusão <italic>outliers</italic> (acima de 3 desvios-padrão)</td>
									<td align="center">(29)</td>
									<td align="center" colspan="2">(201)</td>
									<td align="center" colspan="2"> 0,3% </td>
								</tr>
								<tr>
									<td align="left" colspan="3">(-) Empresas com Ativo Total &lt; US$ 100 mil</td>
									<td align="center">(942)</td>
									<td align="center" colspan="2">(6.698)</td>
									<td align="center" colspan="2">10,9% </td>
								</tr>
								<tr>
									<td align="left" colspan="3">(=) Amostra final</td>
									<td align="center">7.798</td>
									<td align="center" colspan="2">54.484</td>
									<td align="center" colspan="2">88,8%</td>
								</tr>
								<tr>
									<td align="left" colspan="2" rowspan="2">País</td>
									<td align="center" colspan="2">População</td>
									<td align="center" colspan="2">Amostra </td>
									<td align="center" rowspan="2">%</td>
									<td align="center" rowspan="2">% da Amostra</td>
								</tr>
								<tr>
									<td align="center">Observações</td>
									<td align="center">Empresas</td>
									<td align="center">Observações</td>
									<td align="center">Empresas</td>
								</tr>
								<tr>
									<td align="left">1</td>
									<td align="left">EUA</td>
									<td align="right">1.099</td>
									<td align="right">157</td>
									<td align="right">1.095</td>
									<td align="right">157</td>
									<td align="right">99,6%</td>
									<td align="right">2,0%</td>
								</tr>
								<tr>
									<td align="left">2</td>
									<td align="left">Brasil</td>
									<td align="right">1.519</td>
									<td align="right">217</td>
									<td align="right">1.400</td>
									<td align="right">200</td>
									<td align="right">92,2%</td>
									<td align="right">2,6%</td>
								</tr>
								<tr>
									<td align="left">3</td>
									<td align="left">Canadá</td>
									<td align="right">5.068</td>
									<td align="right">724</td>
									<td align="right">1.808</td>
									<td align="right">259</td>
									<td align="right">35,7%</td>
									<td align="right">3,3%</td>
								</tr>
								<tr>
									<td align="left">4</td>
									<td align="left">México</td>
									<td align="right">546</td>
									<td align="right">78</td>
									<td align="right">546</td>
									<td align="right">78</td>
									<td align="right">100,0%</td>
									<td align="right">1,0%</td>
								</tr>
								<tr>
									<td align="left">5</td>
									<td align="left">Argentina</td>
									<td align="right">280</td>
									<td align="right">40</td>
									<td align="right">254</td>
									<td align="right">37</td>
									<td align="right">90,7%</td>
									<td align="right">0,5%</td>
								</tr>
								<tr>
									<td align="left">6</td>
									<td align="left">Colômbia</td>
									<td align="right">301</td>
									<td align="right">43</td>
									<td align="right">287</td>
									<td align="right">41</td>
									<td align="right">95,3%</td>
									<td align="right">0,5%</td>
								</tr>
								<tr>
									<td align="left">7</td>
									<td align="left">Chile</td>
									<td align="right">693</td>
									<td align="right">99</td>
									<td align="right">636</td>
									<td align="right">91</td>
									<td align="right">91,8%</td>
									<td align="right">1,2%</td>
								</tr>
								<tr>
									<td align="left">8</td>
									<td align="left">Peru</td>
									<td align="right">616</td>
									<td align="right">88</td>
									<td align="right">582</td>
									<td align="right">84</td>
									<td align="right">94,5%</td>
									<td align="right">1,1%</td>
								</tr>
								<tr>
									<td align="left">9</td>
									<td align="left">China</td>
									<td align="right">11.739</td>
									<td align="right">1.677</td>
									<td align="right">11.679</td>
									<td align="right">1.670</td>
									<td align="right">99,5%</td>
									<td align="right">21,4%</td>
								</tr>
								<tr>
									<td align="left">10</td>
									<td align="left">Japão</td>
									<td align="right">1.547</td>
									<td align="right">221</td>
									<td align="right">1.537</td>
									<td align="right">220</td>
									<td align="right">99,4%</td>
									<td align="right">2,8%</td>
								</tr>
								<tr>
									<td align="left">11</td>
									<td align="left">Índia</td>
									<td align="right">147</td>
									<td align="right">21</td>
									<td align="right">147</td>
									<td align="right">21</td>
									<td align="right">100,0%</td>
									<td align="right">0,3%</td>
								</tr>
								<tr>
									<td align="left">12</td>
									<td align="left">Coreia do Sul</td>
									<td align="right">8.806</td>
									<td align="right">1.258</td>
									<td align="right">8.790</td>
									<td align="right">1.257</td>
									<td align="right">99,8%</td>
									<td align="right">16,1%</td>
								</tr>
								<tr>
									<td align="left">13</td>
									<td align="left">Indonésia</td>
									<td align="right">1.197</td>
									<td align="right">171</td>
									<td align="right">1.136</td>
									<td align="right">163</td>
									<td align="right">94,9%</td>
									<td align="right">2,1%</td>
								</tr>
								<tr>
									<td align="left">14</td>
									<td align="left">Arábia Saudita</td>
									<td align="right">623</td>
									<td align="right">89</td>
									<td align="right">556</td>
									<td align="right">80</td>
									<td align="right">89,2%</td>
									<td align="right">1,0%</td>
								</tr>
								<tr>
									<td align="left">15</td>
									<td align="left">Taiwan</td>
									<td align="right">9.471</td>
									<td align="right">1.353</td>
									<td align="right">9.282</td>
									<td align="right">1.332</td>
									<td align="right">98,0%</td>
									<td align="right">17,0%</td>
								</tr>
								<tr>
									<td align="left">16</td>
									<td align="left">Tailândia</td>
									<td align="right">2.429</td>
									<td align="right">347</td>
									<td align="right">2.316</td>
									<td align="right">331</td>
									<td align="right">95,3%</td>
									<td align="right">4,2%</td>
								</tr>
								<tr>
									<td align="left">17</td>
									<td align="left">Filipinas</td>
									<td align="right">588</td>
									<td align="right">84</td>
									<td align="right">576</td>
									<td align="right">83</td>
									<td align="right">98,0%</td>
									<td align="right">1,1%</td>
								</tr>
								<tr>
									<td align="left">18</td>
									<td align="left">Cingapura</td>
									<td align="right">2.128</td>
									<td align="right">304</td>
									<td align="right">1.623</td>
									<td align="right">232</td>
									<td align="right">76,3%</td>
									<td align="right">3,0%</td>
								</tr>
								<tr>
									<td align="left">19</td>
									<td align="left">Nigéria</td>
									<td align="right">266</td>
									<td align="right">38</td>
									<td align="right">237</td>
									<td align="right">34</td>
									<td align="right">89,1%</td>
									<td align="right">0,4%</td>
								</tr>
								<tr>
									<td align="left">20</td>
									<td align="left">Egito</td>
									<td align="right">322</td>
									<td align="right">46</td>
									<td align="right">292</td>
									<td align="right">42</td>
									<td align="right">90,7%</td>
									<td align="right">0,5%</td>
								</tr>
								<tr>
									<td align="left">21</td>
									<td align="left">África do Sul</td>
									<td align="right">420</td>
									<td align="right">60</td>
									<td align="right">381</td>
									<td align="right">55</td>
									<td align="right">90,7%</td>
									<td align="right">0,7%</td>
								</tr>
								<tr>
									<td align="left">22</td>
									<td align="left">Marrocos</td>
									<td align="right">98</td>
									<td align="right">14</td>
									<td align="right">91</td>
									<td align="right">13</td>
									<td align="right">92,9%</td>
									<td align="right">0,2%</td>
								</tr>
								<tr>
									<td align="left">23</td>
									<td align="left">Alemanha</td>
									<td align="right">1.981</td>
									<td align="right">283</td>
									<td align="right">1.160</td>
									<td align="right">166</td>
									<td align="right">58,6%</td>
									<td align="right">2,1%</td>
								</tr>
								<tr>
									<td align="left">24</td>
									<td align="left">Reino Unido</td>
									<td align="right">896</td>
									<td align="right">128</td>
									<td align="right">888</td>
									<td align="right">127</td>
									<td align="right">99,1%</td>
									<td align="right">1,6%</td>
								</tr>
								<tr>
									<td align="left">25</td>
									<td align="left">França</td>
									<td align="right">2.268</td>
									<td align="right">324</td>
									<td align="right">1.294</td>
									<td align="right">185</td>
									<td align="right">57,1%</td>
									<td align="right">2,4%</td>
								</tr>
								<tr>
									<td align="left">26</td>
									<td align="left">Itália</td>
									<td align="right">1.008</td>
									<td align="right">144</td>
									<td align="right">851</td>
									<td align="right">122</td>
									<td align="right">84,4%</td>
									<td align="right">1,6%</td>
								</tr>
								<tr>
									<td align="left">27</td>
									<td align="left">Rússia</td>
									<td align="right">1.358</td>
									<td align="right">194</td>
									<td align="right">1.357</td>
									<td align="right">194</td>
									<td align="right">99,9%</td>
									<td align="right">2,5%</td>
								</tr>
								<tr>
									<td align="left">28</td>
									<td align="left">Turquia</td>
									<td align="right">1.127</td>
									<td align="right">161</td>
									<td align="right">1.126</td>
									<td align="right">161</td>
									<td align="right">99,9%</td>
									<td align="right">2,1%</td>
								</tr>
								<tr>
									<td align="left">29</td>
									<td align="left">Holanda</td>
									<td align="right">364</td>
									<td align="right">52</td>
									<td align="right">286</td>
									<td align="right">41</td>
									<td align="right">78,6%</td>
									<td align="right">0,5%</td>
								</tr>
								<tr>
									<td align="left">30</td>
									<td align="left">Suíça</td>
									<td align="right">686</td>
									<td align="right">98</td>
									<td align="right">592</td>
									<td align="right">85</td>
									<td align="right">86,3%</td>
									<td align="right">1,1%</td>
								</tr>
								<tr>
									<td align="left">31</td>
									<td align="left">Polônia</td>
									<td align="right">1.351</td>
									<td align="right">193</td>
									<td align="right">1.346</td>
									<td align="right">193</td>
									<td align="right">99,6%</td>
									<td align="right">2,5%</td>
								</tr>
								<tr>
									<td align="left">32</td>
									<td align="left">Bélgica</td>
									<td align="right">441</td>
									<td align="right">63</td>
									<td align="right">333</td>
									<td align="right">48</td>
									<td align="right">75,5%</td>
									<td align="right">0,6%</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="left">Total </td>
									<td align="right">61.383</td>
									<td align="right">8.769</td>
									<td align="right">54.484</td>
									<td align="right">7.798</td>
									<td align="right">88,8%</td>
									<td align="right">100%</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN14">
								<p>Fonte: Dados da Pesquisa.</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
				<p>Na <xref ref-type="table" rid="t20">Tabela 2</xref> demonstram-se os <italic>scores</italic> de cada país integrante da amostra, para cada uma das seis dimensões pesquisadas por Hofstede, os quais foram identificados em pesquisas desenvolvidas pelo autor dentro dos países, por meio de questionários aplicados.</p>
				<p>
					<table-wrap id="t20">
						<label>Tabela 2.</label>
						<caption>
							<title>Dimensões Culturais de Hofstede - Score dos Países da Amostra</title>
						</caption>
						<table>
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="left">País</th>
									<th align="center">DP</th>
									<th align="center">IND</th>
									<th align="center">MASC</th>
									<th align="center">AVER</th>
									<th align="center">OLP</th>
									<th align="center">INDUL</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="left">EUA</td>
									<td align="center">40</td>
									<td align="center">91</td>
									<td align="center">62</td>
									<td align="center">46</td>
									<td align="center">26</td>
									<td align="center">68</td>
								</tr>
								<tr>
									<td align="left">Brasil</td>
									<td align="center">69</td>
									<td align="center">38</td>
									<td align="center">49</td>
									<td align="center">76</td>
									<td align="center">44</td>
									<td align="center">59</td>
								</tr>
								<tr>
									<td align="left">Canadá</td>
									<td align="center">39</td>
									<td align="center">80</td>
									<td align="center">52</td>
									<td align="center">48</td>
									<td align="center">36</td>
									<td align="center">68</td>
								</tr>
								<tr>
									<td align="left">México</td>
									<td align="center">81</td>
									<td align="center">30</td>
									<td align="center">69</td>
									<td align="center">82</td>
									<td align="center">24</td>
									<td align="center">97</td>
								</tr>
								<tr>
									<td align="left">Argentina</td>
									<td align="center">49</td>
									<td align="center">46</td>
									<td align="center">56</td>
									<td align="center">86</td>
									<td align="center">20</td>
									<td align="center">62</td>
								</tr>
								<tr>
									<td align="left">Colômbia</td>
									<td align="center">67</td>
									<td align="center">13</td>
									<td align="center">64</td>
									<td align="center">80</td>
									<td align="center">13</td>
									<td align="center">83</td>
								</tr>
								<tr>
									<td align="left">Chile</td>
									<td align="center">63</td>
									<td align="center">23</td>
									<td align="center">28</td>
									<td align="center">86</td>
									<td align="center">31</td>
									<td align="center">68</td>
								</tr>
								<tr>
									<td align="left">Peru</td>
									<td align="center">64</td>
									<td align="center">16</td>
									<td align="center">42</td>
									<td align="center">87</td>
									<td align="center">25</td>
									<td align="center">46</td>
								</tr>
								<tr>
									<td align="left">China</td>
									<td align="center">80</td>
									<td align="center">20</td>
									<td align="center">66</td>
									<td align="center">30</td>
									<td align="center">87</td>
									<td align="center">24</td>
								</tr>
								<tr>
									<td align="left">Japão</td>
									<td align="center">54</td>
									<td align="center">46</td>
									<td align="center">95</td>
									<td align="center">92</td>
									<td align="center">88</td>
									<td align="center">42</td>
								</tr>
								<tr>
									<td align="left">Índia</td>
									<td align="center">77</td>
									<td align="center">48</td>
									<td align="center">46</td>
									<td align="center">40</td>
									<td align="center">51</td>
									<td align="center">26</td>
								</tr>
								<tr>
									<td align="left">Coreia do Sul</td>
									<td align="center">60</td>
									<td align="center">18</td>
									<td align="center">39</td>
									<td align="center">85</td>
									<td align="center">100</td>
									<td align="center">29</td>
								</tr>
								<tr>
									<td align="left">Indonésia</td>
									<td align="center">78</td>
									<td align="center">14</td>
									<td align="center">46</td>
									<td align="center">48</td>
									<td align="center">62</td>
									<td align="center">38</td>
								</tr>
								<tr>
									<td align="left">Arábia Saudita</td>
									<td align="center">95</td>
									<td align="center">35</td>
									<td align="center">60</td>
									<td align="center">80</td>
									<td align="center">36</td>
									<td align="center">52</td>
								</tr>
								<tr>
									<td align="left">Taiwan</td>
									<td align="center">58</td>
									<td align="center">17</td>
									<td align="center">45</td>
									<td align="center">69</td>
									<td align="center">93</td>
									<td align="center">49</td>
								</tr>
								<tr>
									<td align="left">Tailândia</td>
									<td align="center">64</td>
									<td align="center">20</td>
									<td align="center">34</td>
									<td align="center">64</td>
									<td align="center">32</td>
									<td align="center">45</td>
								</tr>
								<tr>
									<td align="left">Filipinas</td>
									<td align="center">94</td>
									<td align="center">32</td>
									<td align="center">64</td>
									<td align="center">44</td>
									<td align="center">27</td>
									<td align="center">42</td>
								</tr>
								<tr>
									<td align="left">Cingapura</td>
									<td align="center">74</td>
									<td align="center">20</td>
									<td align="center">48</td>
									<td align="center">8</td>
									<td align="center">72</td>
									<td align="center">46</td>
								</tr>
								<tr>
									<td align="left">Nigéria</td>
									<td align="center">80</td>
									<td align="center">30</td>
									<td align="center">60</td>
									<td align="center">55</td>
									<td align="center">13</td>
									<td align="center">84</td>
								</tr>
								<tr>
									<td align="left">Egito</td>
									<td align="center">70</td>
									<td align="center">25</td>
									<td align="center">45</td>
									<td align="center">80</td>
									<td align="center">7</td>
									<td align="center">4</td>
								</tr>
								<tr>
									<td align="left">África do Sul</td>
									<td align="center">49</td>
									<td align="center">65</td>
									<td align="center">63</td>
									<td align="center">49</td>
									<td align="center">34</td>
									<td align="center">63</td>
								</tr>
								<tr>
									<td align="left">Marrocos</td>
									<td align="center">70</td>
									<td align="center">46</td>
									<td align="center">53</td>
									<td align="center">68</td>
									<td align="center">14</td>
									<td align="center">25</td>
								</tr>
								<tr>
									<td align="left">Alemanha</td>
									<td align="center">35</td>
									<td align="center">67</td>
									<td align="center">66</td>
									<td align="center">65</td>
									<td align="center">83</td>
									<td align="center">40</td>
								</tr>
								<tr>
									<td align="left">Reino Unido</td>
									<td align="center">35</td>
									<td align="center">89</td>
									<td align="center">66</td>
									<td align="center">35</td>
									<td align="center">51</td>
									<td align="center">69</td>
								</tr>
								<tr>
									<td align="left">França</td>
									<td align="center">68</td>
									<td align="center">71</td>
									<td align="center">43</td>
									<td align="center">83</td>
									<td align="center">63</td>
									<td align="center">48</td>
								</tr>
								<tr>
									<td align="left">Itália</td>
									<td align="center">50</td>
									<td align="center">76</td>
									<td align="center">70</td>
									<td align="center">75</td>
									<td align="center">61</td>
									<td align="center">30</td>
								</tr>
								<tr>
									<td align="left">Rússia</td>
									<td align="center">93</td>
									<td align="center">39</td>
									<td align="center">36</td>
									<td align="center">95</td>
									<td align="center">81</td>
									<td align="center">20</td>
								</tr>
								<tr>
									<td align="left">Turquia</td>
									<td align="center">66</td>
									<td align="center">37</td>
									<td align="center">45</td>
									<td align="center">85</td>
									<td align="center">46</td>
									<td align="center">49</td>
								</tr>
								<tr>
									<td align="left">Holanda</td>
									<td align="center">38</td>
									<td align="center">80</td>
									<td align="center">14</td>
									<td align="center">53</td>
									<td align="center">67</td>
									<td align="center">68</td>
								</tr>
								<tr>
									<td align="left">Suíça</td>
									<td align="center">34</td>
									<td align="center">68</td>
									<td align="center">70</td>
									<td align="center">58</td>
									<td align="center">74</td>
									<td align="center">66</td>
								</tr>
								<tr>
									<td align="left">Polônia</td>
									<td align="center">68</td>
									<td align="center">60</td>
									<td align="center">64</td>
									<td align="center">93</td>
									<td align="center">38</td>
									<td align="center">29</td>
								</tr>
								<tr>
									<td align="left">Bélgica</td>
									<td align="center">65</td>
									<td align="center">75</td>
									<td align="center">54</td>
									<td align="center">94</td>
									<td align="center">82</td>
									<td align="center">57</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN15">
								<p>Fonte: Hofstede (2017).</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
				<p>Medida de 0 a 100, uma pontuação elevada na dimensão DP, indica o quanto esse país aceita a distância entre os membros de uma sociedade/organização, e os indivíduos esperam que os membros mais poderosos lhes sirvam de guias em seu trabalho. Para essa dimensão, o país que recebeu maior pontuação foi a Arábia Saudita (95); já a Suíça apresentou menor <italic>score</italic>.</p>
				<p>A Coreia do Sul foi o país que apresentou maior pontuação (100) na dimensão OLP. Na verdade, precisa-se destacar que o país atingiu a pontuação máxima na escala de Hofstede e, segundo o autor, isso se dá em função de a Coreia ser uma das sociedades mais de longo prazo e pragmáticas do mundo.</p>
				<p>Os <italic>scores</italic> para a dimensão INDUL também apresentaram divergências importantes, e o país com maior pontuação, que indica a disposição ‘aproveitar a vida’, foi o México (97), enquanto a menor pontuação foi identificada no Egito (4). A pontuação verificada no México indica uma tendência cultural do país definitiva para a indulgência, mostra uma vontade de realizar seus impulsos, apresentando atitude positiva e tendência ao otimismo.</p>
				<p>Para a mensuração do conservadorismo condicional, foi utilizado o modelo de <xref ref-type="bibr" rid="B3">Ball e Shivakumar (2005</xref>), que mede a assimetria de reconhecimento entre ganhos (boas notícias) e perdas (más notícias). A partir dele, o conservadorismo é avaliado em função da ocorrência de reversão dos resultados contábeis, o que possibilita a identificação de componentes transitórios dos ganhos ou perdas. Nesse contexto, verifica-se que a menor frequência de reconhecimento de perda oportuna está associada à menor qualidade das demonstrações contábeis.</p>

<p>
	<disp-formula id="e10">
			<mml:math id="m10" display="block">
<mml:msub><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mi> </mml:mi><mml:mi mathvariant="normal">α</mml:mi><mml:mn>0</mml:mn><mml:mi mathvariant="normal"> </mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:mi mathvariant="normal">α</mml:mi><mml:mn>1</mml:mn><mml:mi mathvariant="normal">D</mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:mi> </mml:mi><mml:mi mathvariant="normal">α</mml:mi><mml:mn>2</mml:mn><mml:msub><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:mi> </mml:mi><mml:mi mathvariant="normal">α</mml:mi><mml:mn>3</mml:mn><mml:mi mathvariant="normal">D</mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>×</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:mi mathvariant="normal">ɛ</mml:mi></mml:mrow><mml:mrow><mml:mi>t</mml:mi></mml:mrow></mml:msub></mml:math>
		<label>(1)</label>
	</disp-formula>
</p>

			<p>Em que:</p>
				<p>Δ<italic>NI</italic>
 <sub>
 <italic>it</italic>
</sub> : variação no lucro operacional contábil da empresa <italic>i</italic> do ano <italic>t-1</italic> para o <italic>t</italic> ponderada pelo valor do ativo total no início do ano <italic>t;</italic></p>
				<p>Δ<italic>NI</italic>
 <sub>
 <italic>it-1</italic>
</sub> : variação no lucro operacional contábil da empresa <italic>i</italic> do ano <italic>t-2</italic> para o <italic>t-1</italic> ponderada pelo valor do ativo total no início do ano <italic>t-1;</italic></p>
				<p>DΔ<italic>NI</italic>
 <sub>
 <italic>it-1 :</italic>
</sub> variável <italic>dummy</italic> assumindo valor 1 se ΔNI<sub>it-1</sub>&lt;0, e 0 nos demais casos;</p>
				<p>ɛ<sub>
 <italic>t</italic>
</sub> : erro da regressão.</p>
				<p>Inicialmente, a equação 1 foi rodada para cada país, separadamente, a fim de identificar o conservadorismo presente na amostra. Conforme o modelo, testado para cada país, o adiamento no reconhecimento dos ganhos econômicos para quando houver fluxo de caixa permite que os ganhos sejam reconhecidos como um componente persistente do lucro contábil, que tem tendência a não ser revertido e que implica α<sub>2</sub> ser igual a zero. No entanto, quando os ganhos são reconhecidos de forma oportuna, passam a ser vistos como um fator de aumento no componente transitório do lucro, com tendência a serem revertidos em períodos seguintes, o que é percebido por meio de α<sub>2&lt;</sub>0. </p>
				<p>Por sua vez, o reconhecimento das perdas é visualizado como diminuições transitórias do resultado, onde α<sub>2</sub> + α<sub>3</sub> &lt; 0, e se as perdas forem reconhecidas de forma mais oportuna que os ganhos, considerada como <italic>proxy</italic> do conservadorismo contábil condicional, então α<sub>3</sub>&lt; 0 (<xref ref-type="bibr" rid="B3">Ball &amp; Shivakumar, 2005</xref>). Para melhor visualização dos dados, a variável dependente foi invertida, assim, nesse contexto, α<sub>3</sub> &gt; 0 indica prática contábil conservadora.</p>
				<p>Para mensurar o efeito da cultura nacional no conservadorismo contábil, o modelo de <xref ref-type="bibr" rid="B3">Ball e Shivakumar (2005</xref>) foi ajustado pelas variáveis de cultura nacional, representadas na Equação 2 pela sigla CULT, que representa o <italic>score</italic> de cada dimensão obtido pelo país na pesquisa de Hofstede. </p>
<p>
	<disp-formula id="e20">
			<mml:math id="m20" display="block">
<mml:msub><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>=</mml:mo><mml:mi> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">α</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msub><mml:mi mathvariant="normal"> </mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">α</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mi mathvariant="normal"> </mml:mi><mml:mi mathvariant="normal">D</mml:mi><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mrow><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>+</mml:mo><mml:mi> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">α</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mrow><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:mi> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">α</mml:mi></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub><mml:mi mathvariant="normal"> </mml:mi><mml:mi mathvariant="normal">D</mml:mi><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mrow><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>×</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mrow><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">α</mml:mi></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>C</mml:mi><mml:mi>U</mml:mi><mml:mi>L</mml:mi><mml:mi>T</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">α</mml:mi></mml:mrow><mml:mrow><mml:mn>5</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>C</mml:mi><mml:mi>U</mml:mi><mml:mi>L</mml:mi><mml:mi>T</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>×</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:mi mathvariant="normal">D</mml:mi><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mrow><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">α</mml:mi></mml:mrow><mml:mrow><mml:mn>6</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>C</mml:mi><mml:mi>U</mml:mi><mml:mi>L</mml:mi><mml:mi>T</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>×</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mrow><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">α</mml:mi></mml:mrow><mml:mrow><mml:mn>7</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi>C</mml:mi><mml:mi>U</mml:mi><mml:mi>L</mml:mi><mml:mi>T</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>×</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:mi mathvariant="normal">D</mml:mi><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mrow><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mi> </mml:mi><mml:mo>×</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mrow><mml:mi>N</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:mi mathvariant="normal"> </mml:mi><mml:msub><mml:mrow><mml:mi mathvariant="normal">ɛ</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub></mml:math>
		<label>(2)</label>
	</disp-formula>
</p>
				<p>A equação 2, que abrange cada uma das seis dimensões culturais do modelo de <xref ref-type="bibr" rid="B24">Hofstede, foi testada separadamente para cada dimensão, utilizando observações no período de 2010</xref> a 2016. Nessa equação, as variáveis de interesse são α<sub>6</sub> e α<sub>7</sub>. A identificação do reconhecimento oportuno de perdas econômicas relacionadas a cada dimensão cultural implica que estas são reconhecidas com diminuição dos lucros transitórios verificado em α<sub>6</sub>+ α<sub>7</sub>&lt;0. A hipótese da existência do conservadorismo relacionado a cada uma das dimensões culturais testadas, que indica que as perdas econômicas são reconhecidas mais rapidamente do que os ganhos, resulta em α<sub>7</sub>&lt;0. Assim sendo, α<sub>6</sub> refere-se ao reconhecimento antecipado dos ganhos, e α<sub>7</sub> à relação entre o conservadorismo contábil e a dimensão cultural pesquisada.</p>
				<p>Como variáveis de controle foram utilizadas IFRS (1 para empresas adotantes e zero caso contrário) e tamanho (log do Ativo Total). A adoção das IFRS pelos países pode influenciar o nível de conservadorismo contábil das empresas, portanto, seria prudente, ao comparar tais níveis entre as empresas da amostra, considerar um possível efeito das IFRS. Quanto ao tamanho, trata-se de uma variável de controle comum nos estudos sobre conservadorismo contábil.</p>
			</sec>
			<sec sec-type="results|discussion">
				<title>4. RESULTADOS E DISCUSSÕES</title>
				<sec>
					<title>4.1. Estatística descritiva</title>
					<p>Apresenta-se inicialmente a estatística descritiva das variáveis Lucro Operacional Líquido (NI) e Ativo Total (AT), utilizadas no modelo de <xref ref-type="bibr" rid="B3">Ball e Shivakumar (2005</xref>), além das variáveis de cultura nacional, representadas pelas dimensões culturais de Hofstede: distância do poder (DP), individualismo <italic>versus</italic> coletivismo (IND), masculinidade <italic>versus</italic> feminilidade (MASC), aversão à incerteza (AVER), orientação em longo prazo <italic>versus</italic> orientação em curto prazo (OLP) e indulgência <italic>versus</italic> restrição (INDUL), conforme a <xref ref-type="table" rid="t30">Tabela 3</xref>:</p>
					<p>
						<table-wrap id="t30">
							<label>Tabela 3.</label>
							<caption>
								<title>Estatística descritiva das variáveis do estudo</title>
							</caption>
							<table>
								<colgroup>
									<col/>
									<col/>
									<col/>
									<col/>
									<col/>
									<col/>
								</colgroup>
								<thead>
									<tr>
										<th align="left">Variável</th>
										<th align="center">Observações</th>
										<th align="center">Média </th>
										<th align="center">Desvio Padrão</th>
										<th align="center">Mínimo</th>
										<th align="center">Máximo</th>
									</tr>
								</thead>
								<tbody>
									<tr>
										<td align="left">NI (em milhões $)</td>
										<td align="right">54.484</td>
										<td align="right">459</td>
										<td align="right">17.074</td>
										<td align="right">-45.560</td>
										<td align="right">1.651.000</td>
									</tr>
									<tr>
										<td align="left">AT (em milhões $)</td>
										<td align="right">54.484</td>
										<td align="right">5.544</td>
										<td align="right">190.363</td>
										<td align="right">0,0001</td>
										<td align="right">17.050.000</td>
									</tr>
									<tr>
										<td align="left">ΔNI<sub>it</sub></td>
										<td align="right">54.484</td>
										<td align="right">0,1384</td>
										<td align="right">0,1741</td>
										<td align="right">-7,7243</td>
										<td align="right">7,3173</td>
									</tr>
									<tr>
										<td align="left">DΔNI<sub>it-1</sub> - α1 (<italic>dummy</italic>)</td>
										<td align="right">54.484</td>
										<td align="right">0,4353</td>
										<td align="center">-</td>
										<td align="center">0</td>
										<td align="center">1</td>
									</tr>
									<tr>
										<td align="left">ΔNI<sub>it-1</sub> - α2</td>
										<td align="right">54.484</td>
										<td align="right">0,123</td>
										<td align="right">0,4121</td>
										<td align="right">-50,3689</td>
										<td align="right">45,0253</td>
									</tr>
									<tr>
										<td align="left">DΔNI<sub>it-1</sub>*ΔNI<sub>it-1</sub> - α3</td>
										<td align="right">54.484</td>
										<td align="right">0,0081</td>
										<td align="right">0,0901</td>
										<td align="right">-2,1178</td>
										<td align="right">5,7973</td>
									</tr>
									<tr>
										<td align="left">DP</td>
										<td align="right">54.484</td>
										<td align="right">64,8577</td>
										<td align="right">17,2174</td>
										<td align="center">34</td>
										<td align="center">95</td>
									</tr>
									<tr>
										<td align="left">IND</td>
										<td align="right">54.484</td>
										<td align="right">31,8028</td>
										<td align="right">22,1399</td>
										<td align="center">13</td>
										<td align="center">91</td>
									</tr>
									<tr>
										<td align="left">MASC</td>
										<td align="right">54.484</td>
										<td align="right">52,5225</td>
										<td align="right">14,0807</td>
										<td align="center">14</td>
										<td align="center">95</td>
									</tr>
									<tr>
										<td align="left">AVER</td>
										<td align="right">54.484</td>
										<td align="right">62,0197</td>
										<td align="right">23,936</td>
										<td align="center">8</td>
										<td align="center">95</td>
									</tr>
									<tr>
										<td align="left">OLP</td>
										<td align="right">54.484</td>
										<td align="right">73,5542</td>
										<td align="right">25,9956</td>
										<td align="center">7</td>
										<td align="center">100</td>
									</tr>
									<tr>
										<td align="left">INDUL</td>
										<td align="right">54.484</td>
										<td align="right">40,7075</td>
										<td align="right">16,1610</td>
										<td align="center">4</td>
										<td align="center">97</td>
									</tr>
								</tbody>
							</table>
							<table-wrap-foot>
								<fn id="TFN16">
									<p>Legenda: NI: Lucro operacional líquido; AT: Ativo total; ΔNI<sub>it:</sub> variação no lucro líquido contábil da empresa <italic>i</italic> do ano <italic>t-1</italic> para o <italic>t</italic> ponderada pelo valor do ativo total no início do ano <italic>t;</italic>DΔNI<sub>it-1</sub>: dummy para a variação do lucro líquido contábil da empresa <italic>i</italic> do ano <italic>t-1</italic> para o ano t, se indicar variação negativa, assume valor 1 se ΔNI<sub>it</sub>&lt;0, e 0 nos demais casos;: variação no lucro líquido contábil da empresa <italic>i</italic> do ano <italic>t-2</italic> para o <italic>t-1</italic> ponderada pelo valor do ativo total no início do ano <italic>t-1.</italic></p>
								</fn>
								<fn id="TFN17">
									<p>Fonte: Dados da Pesquisa.</p>
								</fn>
							</table-wrap-foot>
						</table-wrap>
					</p>
					<p>Observa-se uma variação positiva do lucro líquido (ΔNI<sub>it</sub>) no período analisado, e isso em linhas gerais indica que a lucratividade das empresas vem melhorando no período, mesmo com uma presente discrepância entre as empresas (desvio-padrão superior à média). As variáveis Lucro Operacional Líquido (NI) e Ativo Total (AT) foram utilizadas para calcular a ΔNI<sub>it</sub> e demonstram elevada dispersão, o que é compreensível em função de os dados serem provenientes de empresas de 32 países e de nove setores distintos.</p>
					<p>A variável DΔNI<sub>it-1</sub> indica que em torno de 44% das empresas pesquisadas apresentam variação negativa no lucro relatado, o que está em linha com a média positiva encontrada para a variação do lucro (ΔNI<sub>it</sub>), pois a maioria das empresas (56%) apurou variação positiva em seus resultados no período analisado.</p>
					<p>A variável (DΔNI<sub>it-1</sub>*ΔNI<sub>it-1</sub>) designa o grau de conservadorismo adotado pelas empresas analisadas, observado por meio do coeficiente α<sub>3</sub> do modelo de conservadorismo de <xref ref-type="bibr" rid="B3">Ball e Shivakumar (2005</xref>). A média da variável conservadorismo foi de 0,0081, com desvio-padrão elevado em relação à média, indicando elevada dispersão dos dados dessa variável. </p>
					<p>Os <italic>scores</italic> das dimensões culturais de Hofstede apresentam menor discrepância e, com base na média das variáveis de cultura, infere-se que as empresas analisadas são provenientes na maior parte de países com maior DP, com uma cultura mais preocupada com valores femininos e coletivos, com maior aversão a situações de incerteza, revelam uma preocupação maior com o futuro, com uma cultura orientada para o longo prazo e com menos aptidão para aproveitar a vida (menor <italic>score</italic> para indulgência).</p>
					<p>Foram realizados testes de correlação de Pearson e Spearman, conforme apresenta a <xref ref-type="table" rid="t40">Tabela 4</xref>:</p>
					<p>
						<table-wrap id="t40">
							<label>Tabela 4.</label>
							<caption>
								<title>Análise de Correlação de Pearson (abaixo da diagonal) e de Spearman (acima da diagonal)</title>
							</caption>
							<table>
								<colgroup>
									<col/>
									<col/>
									<col/>
									<col/>
									<col/>
									<col/>
									<col/>
									<col/>
									<col/>
									<col/>
									<col/>
									<col/>
									<col/>
								</colgroup>
                                <thead>
                                <tr>
										<th align="left"> </th>
										<th align="center">NI</th>
										<th align="center">AT</th>
										<th align="center">ΔNI<sub>it</sub></th>
										<th align="center">α1</th>
										<th align="center">α2</th>
										<th align="center">α3</th>
										<th align="center">DP</th>
										<th align="center">IND</th>
										<th align="center">MASC</th>
										<th align="center">AVER</th>
										<th align="center">OLP</th>
										<th align="center">INDUL</th>
									</tr>
                                </thead>
								<tbody>
									
									<tr>
										<td align="center">NI</td>
										<td align="center">1</td>
										<td align="center"><bold>0,580</bold></td>
										<td align="center"><bold>0,249</bold></td>
										<td align="center"><bold>-0,217</bold></td>
										<td align="center"><bold>0,125</bold></td>
										<td align="center"><bold>0,057</bold></td>
										<td align="center">-0,003</td>
										<td align="center"><bold>0,030</bold></td>
										<td align="center"><bold>-0,155</bold></td>
										<td align="center"><bold>0,254</bold></td>
										<td align="center"><bold>0,036</bold></td>
										<td align="center"><bold>-0,0497</bold></td>
									</tr>
									<tr>
										<td align="center">AT</td>
										<td align="center"><bold>0,884</bold></td>
										<td align="center">1</td>
										<td align="center"><bold>-0,038</bold></td>
										<td align="center"><bold>0,026</bold></td>
										<td align="center"><bold>-0,036</bold></td>
										<td align="center"><bold>-0,013</bold></td>
										<td align="center"><bold>-0,028</bold></td>
										<td align="center">-0,008</td>
										<td align="center"><bold>-0,303</bold></td>
										<td align="center"><bold>0,431</bold></td>
										<td align="center"><bold>0,144</bold></td>
										<td align="center"><bold>-0,1072</bold></td>
									</tr>
									<tr>
										<td align="center">ΔNI<sub>it</sub></td>
										<td align="center">-0,000</td>
										<td align="center">-0,003</td>
										<td align="center">1</td>
										<td align="center"><bold>-0,854</bold></td>
										<td align="center"><bold>-0,089</bold></td>
										<td align="center"><bold>-0,136</bold></td>
										<td align="center"><bold>0,010</bold></td>
										<td align="center"><bold>0,009</bold></td>
										<td align="center"><bold>0,037</bold></td>
										<td align="center"><bold>-0,032</bold></td>
										<td align="center"><bold>-0,016</bold></td>
										<td align="center">-0,002</td>
									</tr>
									<tr>
										<td align="center">a1</td>
										<td align="center">-0,001</td>
										<td align="center">0,006</td>
										<td align="center"><bold>-0,327</bold></td>
										<td align="center">1</td>
										<td align="center"><bold>0,047</bold></td>
										<td align="center"><bold>0,141</bold></td>
										<td align="center"><bold>-0,016</bold></td>
										<td align="center"><bold>-0,024</bold></td>
										<td align="center"><bold>-0,047</bold></td>
										<td align="center"><bold>0,040</bold></td>
										<td align="center"><bold>0,028</bold></td>
										<td align="center">0,0064</td>
									</tr>
									<tr>
										<td align="center">a2</td>
										<td align="center">-0,001</td>
										<td align="center">-0,001</td>
										<td align="center"><bold>0,048</bold></td>
										<td align="center"><bold>0,014</bold></td>
										<td align="center">1</td>
										<td align="center"><bold>0,604</bold></td>
										<td align="center"><bold>0,026</bold></td>
										<td align="center"><bold>-0,012</bold></td>
										<td align="center"><bold>0,037</bold></td>
										<td align="center"><bold>-0,044</bold></td>
										<td align="center">0,004</td>
										<td align="center"><bold>-0,0199</bold></td>
									</tr>
									<tr>
										<td align="center">a3</td>
										<td align="center">-0,003</td>
										<td align="center">-0,004</td>
										<td align="center"><bold>-0,198</bold></td>
										<td align="center"><bold>0,103</bold></td>
										<td align="center"><bold>0,218</bold></td>
										<td align="center">1</td>
										<td align="center"><bold>-0,012</bold></td>
										<td align="center"><bold>-0,019</bold></td>
										<td align="center"><bold>-0,009</bold></td>
										<td align="center">0,003</td>
										<td align="center"><bold>0,012</bold></td>
										<td align="center"><bold>0,0136</bold></td>
									</tr>
									<tr>
										<td align="center">DP</td>
										<td align="center"><bold>0,047</bold></td>
										<td align="center"><bold>0,049</bold></td>
										<td align="center">-0,000</td>
										<td align="center">-0,007</td>
										<td align="center"><bold>0,011</bold></td>
										<td align="center">-0,008</td>
										<td align="center">1</td>
										<td align="center">0,003</td>
										<td align="center"><bold>0,159</bold></td>
										<td align="center"><bold>-0,283</bold></td>
										<td align="center"><bold>-0,183</bold></td>
										<td align="center"><bold>-0,6209</bold></td>
									</tr>
									<tr>
										<td align="center">IND</td>
										<td align="center"><bold>0,013</bold></td>
										<td align="center">0,014</td>
										<td align="center"><bold>-0,015</bold></td>
										<td align="center">-0,008</td>
										<td align="center"><bold>-0,019</bold></td>
										<td align="center">-0,004</td>
										<td align="center"><bold>-0,524</bold></td>
										<td align="center">1</td>
										<td align="center"><bold>0,406</bold></td>
										<td align="center"><bold>-0,054</bold></td>
										<td align="center"><bold>-0,647</bold></td>
										<td align="center"><bold>0,1072</bold></td>
									</tr>
									<tr>
										<td align="center">MASC</td>
										<td align="center"><bold>-0,028</bold></td>
										<td align="center">-0,03</td>
										<td align="center"><bold>0,011</bold></td>
										<td align="center"><bold>-0,042</bold></td>
										<td align="center">0,002</td>
										<td align="center">-0,004</td>
										<td align="center"><bold>0,099</bold></td>
										<td align="center">0,28</td>
										<td align="center">1</td>
										<td align="center"><bold>-0,524</bold></td>
										<td align="center"><bold>-0,256</bold></td>
										<td align="center"><bold>-0,1381</bold></td>
									</tr>
									<tr>
										<td align="center">AVER</td>
										<td align="center"><bold>0,033</bold></td>
										<td align="center">0,036</td>
										<td align="center"><bold>-0,014</bold></td>
										<td align="center"><bold>0,036</bold></td>
										<td align="center"><bold>-0,009</bold></td>
										<td align="center">-0,001</td>
										<td align="center"><bold>-0,282</bold></td>
										<td align="center">0,070</td>
										<td align="center">-0,293</td>
										<td align="center">1</td>
										<td align="center"><bold>0,201</bold></td>
										<td align="center"><bold>0,1684</bold></td>
									</tr>
									<tr>
										<td align="center">OLP</td>
										<td align="center">0,004</td>
										<td align="center">0,004</td>
										<td align="center"><bold>0,008</bold></td>
										<td align="center"><bold>0,013</bold></td>
										<td align="center"><bold>0,011</bold></td>
										<td align="center">-0,005</td>
										<td align="center"><bold>0,065</bold></td>
										<td align="center">-0,493</td>
										<td align="center">-0,038</td>
										<td align="center">-0,014</td>
										<td align="center">1</td>
										<td align="center"><bold>-0,3208</bold></td>
									</tr>
									<tr>
										<td align="center">INDUL</td>
										<td align="center"><bold>-0,029</bold></td>
										<td align="center">-0,031</td>
										<td align="center">0,006</td>
										<td align="center">-0,006</td>
										<td align="center"><bold>-0,011</bold></td>
										<td align="center"><bold>0,009</bold></td>
										<td align="center"><bold>0,511</bold></td>
										<td align="center">0,439</td>
										<td align="center">-0,080</td>
										<td align="center">0,129</td>
										<td align="center">-0,546</td>
										<td align="center">1</td>
									</tr>
								</tbody>
							</table>
							<table-wrap-foot>
								<fn id="TFN18">
									<p>Obs.: valores em negrito significativos a 95%.</p>
								</fn>
								<fn id="TFN19">
									<p>Fonte: Dados da Pesquisa.</p>
								</fn>
							</table-wrap-foot>
						</table-wrap>
					</p>
					<p>O maior coeficiente de correlação de Pearson entre as dimensões culturais foi observado entre as variáveis DP e IND (-0,5239) e DP e INDUL (0,511). A correlação encontrada, abaixo de 0,6, pode ser considerada fraca, indica que culturas mais individualistas aceitam menos a concentração de poder, enquanto culturas que aceitam tal concentração estão alinhadas com questões de aproveitar a vida (indulgência). </p>
					<p>Para a correlação de Spearman, os coeficientes mais expressivos foram identificados entre as variáveis OLP e IND (-0,6471) e INDUL e DP (-0,6209), ambas consideradas moderadas. Indicam que culturas mais individualistas têm visão mais para o curto prazo, bem como culturas mais indulgentes não aceitariam a concentração de poder.</p>
				</sec>
				<sec>
					<title>4.2. Identificação do nível do conservadorismo contábil nas empresas</title>
					<p>Antes da identificação do nível de conservadorismo contábil foram realizados testes de pressupostos dos modelos de regressão, como o de multicolinearidade (<italic>Variance Inflation Factors</italic>- VIF) e de heteroscedasticidade (Teste de Wald Modificado). O primeiro foi atendido, com fatores variando de 1,01 a 1,06. O segundo apontou problema de heteroscedasticidade, corrigido com regressão por erros robustos. Todas as regressões (OLS) foram realizadas controlando-se os efeitos fixos de indústria (setor), país e ano. Os resultados encontram-se na <xref ref-type="table" rid="t50">Tabela 5</xref>.</p>
					<p>
						<table-wrap id="t50">
							<label>Tabela 5.</label>
							<caption>
								<title>Resultados do modelo original de conservadorismo contábil e com adição de variáveis de controle tamanho da empresa e adoção das IFRS</title>
							</caption>
							<table>
								<colgroup>
									<col/>
									<col/>
									<col/>
									<col/>
									<col/>
								</colgroup>
								<thead>
									<tr>
										<th align="left">Variáveis</th>
										<th align="center">Sinal Esperado</th>
										<th align="center">Modelo 1</th>
										<th align="center">Modelo 2</th>
										<th align="center">Modelo 3</th>
									</tr>
								</thead>
								<tbody>
									<tr>
										<td align="left" rowspan="2">DΔNI<sub>it-1</sub></td>
										<td align="center" rowspan="2">+/-</td>
										<td align="left">-0.025***</td>
										<td align="left">-0.048***</td>
										<td align="left">-0.029***</td>
									</tr>
									<tr>
										<td align="left">(0.003)</td>
										<td align="left">(0.009)</td>
										<td align="left">(0.003)</td>
									</tr>
									<tr>
										<td align="left" rowspan="2">ΔNI<sub>it-1</sub></td>
										<td align="center" rowspan="2">+</td>
										<td align="left">-0.095***</td>
										<td align="left">-0.351***</td>
										<td align="left">-0.150***</td>
									</tr>
									<tr>
										<td align="left">(0.034)</td>
										<td align="left">(0.116)</td>
										<td align="left">(0.013)</td>
									</tr>
									<tr>
										<td align="left" rowspan="2">DΔNI<sub>it-1</sub>*ΔNI<sub>it-1</sub></td>
										<td align="center" rowspan="2">+</td>
										<td align="left">0.140***</td>
										<td align="left">0.294**</td>
										<td align="left">0.162***</td>
									</tr>
									<tr>
										<td align="left">(0.045)</td>
										<td align="left">(0.123)</td>
										<td align="left">(0.016)</td>
									</tr>
									<tr>
										<td align="left" rowspan="2">CONTR </td>
										<td align="center" rowspan="2">+/-</td>
										<td align="left"> </td>
										<td align="left">0.000</td>
										<td align="left">-0.023***</td>
									</tr>
									<tr>
										<td align="left"> </td>
										<td align="left">(0.000)</td>
										<td align="left">(0.004)</td>
									</tr>
									<tr>
										<td align="left" rowspan="2">CONTR * DΔNI<sub>it-1</sub></td>
										<td align="center" rowspan="2">+/-</td>
										<td align="left"> </td>
										<td align="left">0.003***</td>
										<td align="left">0.015***</td>
									</tr>
									<tr>
										<td align="left"> </td>
										<td align="left">(0.001)</td>
										<td align="left">(0.005)</td>
									</tr>
									<tr>
										<td align="left" rowspan="2">CONTR * ΔNI<sub>it-1</sub></td>
										<td align="center" rowspan="2">+</td>
										<td align="left"> </td>
										<td align="left">0.029**</td>
										<td align="left">0.114***</td>
									</tr>
									<tr>
										<td align="left"> </td>
										<td align="left">(0.014)</td>
										<td align="left">(0.038)</td>
									</tr>
									<tr>
										<td align="left" rowspan="2">CONTR * DΔNI<sub>it-1</sub>*ΔNI<sub>it-1</sub></td>
										<td align="center" rowspan="2">+</td>
										<td align="left"> </td>
										<td align="left">-0.015</td>
										<td align="left">0.081</td>
									</tr>
									<tr>
										<td align="left"> </td>
										<td align="left">(0.015)</td>
										<td align="left">(0.062)</td>
									</tr>
									<tr>
										<td align="left" rowspan="2">Constante</td>
										<td align="center" rowspan="2">+/-</td>
										<td align="left">-0.007</td>
										<td align="left">-0.034**</td>
										<td align="left">-0.008</td>
									</tr>
									<tr>
										<td align="left">(0.005)</td>
										<td align="left">(0.013)</td>
										<td align="left">(0.005)</td>
									</tr>
									<tr>
										<td align="left">Observações</td>
										<td align="left"> </td>
										<td align="center">54,484</td>
										<td align="center">54,484</td>
										<td align="center">54,484</td>
									</tr>
									<tr>
										<td align="left">R<sup>2</sup></td>
										<td align="left"> </td>
										<td align="center">0.042</td>
										<td align="center">0.067</td>
										<td align="center">0.066</td>
									</tr>
									<tr>
										<td align="left">FE setor-país-ano</td>
										<td align="left"> </td>
										<td align="center">Sim</td>
										<td align="center">Sim</td>
										<td align="center">Sim</td>
									</tr>
								</tbody>
							</table>
							<table-wrap-foot>
								<fn id="TFN20">
									<p>Robust standard errors in parentheses; *** p&lt;0.01, ** p&lt;0.05, * p&lt;0.1</p>
								</fn>
								<fn id="TFN21">
									<p>Modelo 1: Original; Modelo 2: com variável de controle Tamanho da empresa; Modelo 3: com variável de controle IFRS.</p>
								</fn>
								<fn id="TFN22">
									<p>Legenda :ΔNI<sub>it</sub>: variação no lucro líquido contábil da empresa <italic>i</italic> do ano <italic>t-1</italic> para o <italic>t</italic> ponderada pelo valor do ativo total no início do ano <italic>t;</italic>DΔNI<sub>it-1</sub>:dummy para a variação do lucro líquido contábil da empresa <italic>i</italic> do ano <italic>t-1</italic> para o ano t, se indicar variação negativa, assume valor 1 se ΔNI<sub>it</sub>&lt;0, e 0 nos demais casos; ΔNI<sub>it-1</sub>: variação no lucro líquido contábil da empresa <italic>i</italic> do ano <italic>t-2</italic> para o <italic>t-1</italic> ponderada pelo valor do ativo total no início do ano <italic>t-1.</italic> CONTR: variável de controle Tamanho (Ativo Total - AT) e IFRS.</p>
								</fn>
								<fn id="TFN23">
									<p>Fonte: Dados da pesquisa.</p>
								</fn>
							</table-wrap-foot>
						</table-wrap>
					</p>
					<p>Conforme apresentado na <xref ref-type="table" rid="t5">Tabela 5</xref>, constata-se que há uma tendência das empresas que compuseram a amostra a reconhecerem mais oportunamente as perdas econômicas do que os ganhos. Tal tendência é verificada em função da diminuição transitória dos ganhos através do coeficiente α<sub>3</sub> (0,140), e ressalta-se ainda a significância dos coeficientes α<sub>2</sub> e α<sub>3</sub>, o que possibilita a confirmação estatística do comportamento conservador das empresas analisadas. </p>
					<p>Para aprofundar a análise do conservadorismo contábil das empresas, foi inserido no modelo proposto por <xref ref-type="bibr" rid="B3">Ball e Shivakumar (2005</xref>) o tamanho da empresa (log AT) e a adoção das IFRS como variáveis de controle. Nos dois casos, os resultados em relação ao conservadorismo (α<sub>3</sub>) são consistentes com o modelo original, com relação positiva e significativa, embora o α<sub>7</sub> não tenha se mostrado significativo, não sendo possível inferir sobre a influência do tamanho e da adoção das IFRS no nível de conservadorismo das empresas da amostra.</p>
				</sec>
				<sec>
					<title>4.3. Análise da relação entre as dimensões da cultura nacional e o conservadorismo contábil</title>
					<p>De maneira geral, segundo <xref ref-type="bibr" rid="B29">Salter e Lewis (2011</xref>), a presença do conservadorismo contábil pode ser relacionada a diferenças entre países, sendo que estas podem ser provenientes de valores culturais. O estudo de Salter e Lewis (2011) corrobora os pressupostos de <xref ref-type="bibr" rid="B15">Gray (1988</xref>) e <xref ref-type="bibr" rid="B11">Doupnik e Tsakumis (2004</xref>), que apresentam que a cultura se relaciona com aplicação mais conservadora de regras contábeis nas demonstrações contábeis.</p>
					<p>Dessa forma, uma análise individual da influência de cada uma das dimensões culturais descritas por Hofstede (2017) é apresentada na <xref ref-type="table" rid="t60">Tabela 6</xref>. </p>
					<p>
						<table-wrap id="t60">
							<label>Tabela 6.</label>
							<caption>
								<title>Resultados da relação entre conservadorismo contábil e as dimensões culturais</title>
							</caption>
							<table>
								<colgroup>
									<col/>
									<col/>
									<col/>
									<col/>
									<col/>
									<col/>
									<col/>
								</colgroup>
								<thead>
									<tr>
										<th align="left">Variáveis</th>
										<th align="center">Modelo 1</th>
										<th align="center">Modelo 2</th>
										<th align="center">Modelo 3</th>
										<th align="center">Modelo 4</th>
										<th align="center">Modelo 5</th>
										<th align="center">Modelo 6</th>
									</tr>
								</thead>
								<tbody>
									<tr>
										<td align="left" rowspan="2">DΔNI<sub>it-1</sub></td>
										<td align="center">-0.013*</td>
										<td align="center">-0.026***</td>
										<td align="center">-0.050***</td>
										<td align="center">-0.057***</td>
										<td align="center">-0.044***</td>
										<td align="center">0.001</td>
									</tr>
									<tr>
										<td align="center">(0.007)</td>
										<td align="center">(0.005)</td>
										<td align="center">(0.012)</td>
										<td align="center">(0.010)</td>
										<td align="center">(0.006)</td>
										<td align="center">(0.007)</td>
									</tr>
									<tr>
										<td align="left" rowspan="2">ΔNI<sub>it-1</sub></td>
										<td align="center">-0.116</td>
										<td align="center">-0.182***</td>
										<td align="center">-0.226***</td>
										<td align="center">-0.224***</td>
										<td align="center">-0.154***</td>
										<td align="center">-0.074</td>
									</tr>
									<tr>
										<td align="center">(0.075)</td>
										<td align="center">(0.050)</td>
										<td align="center">(0.054)</td>
										<td align="center">(0.103)</td>
										<td align="center">(0.055)</td>
										<td align="center">(0.053)</td>
									</tr>
									<tr>
										<td align="left" rowspan="2">DΔNI<sub>it-1</sub>*ΔNI<sub>it-1</sub></td>
										<td align="center">0.127</td>
										<td align="center">0.247***</td>
										<td align="center">0.311</td>
										<td align="center">0.173</td>
										<td align="center">0.035</td>
										<td align="center">0.463***</td>
									</tr>
									<tr>
										<td align="center">(0.117)</td>
										<td align="center">(0.079)</td>
										<td align="center">(0.215)</td>
										<td align="center">(0.137)</td>
										<td align="center">(0.084)</td>
										<td align="center">(0.141)</td>
									</tr>
									<tr>
										<td align="left" rowspan="2">CULT </td>
										<td align="center">0.000</td>
										<td align="center">0.000</td>
										<td align="center">0.001</td>
										<td align="center">-0.001***</td>
										<td align="center">0.000***</td>
										<td align="center">0.001**</td>
									</tr>
									<tr>
										<td align="center">(0.000)</td>
										<td align="center">(0.000)</td>
										<td align="center">(0.001)</td>
										<td align="center">(0.000)</td>
										<td align="center">(0.000)</td>
										<td align="center">(0.000)</td>
									</tr>
									<tr>
										<td align="left" rowspan="2">CULT *DΔNI<sub>it-1</sub></td>
										<td align="center">0.000*</td>
										<td align="center">0.000</td>
										<td align="center">0.001**</td>
										<td align="center">0.001***</td>
										<td align="center">0.000***</td>
										<td align="center">0.000***</td>
									</tr>
									<tr>
										<td align="center">(0.000)</td>
										<td align="center">(0.000)</td>
										<td align="center">(0.000)</td>
										<td align="center">(0.000)</td>
										<td align="center">(0.000)</td>
										<td align="center">(0.000)</td>
									</tr>
									<tr>
										<td align="left" rowspan="2">CULT *ΔNI<sub>it-1</sub></td>
										<td align="center">0.000</td>
										<td align="center">0.004**</td>
										<td align="center">0.003***</td>
										<td align="center">0.002</td>
										<td align="center">0.001</td>
										<td align="center">0.000</td>
									</tr>
									<tr>
										<td align="center">(0.001)</td>
										<td align="center">(0.002)</td>
										<td align="center">(0.001)</td>
										<td align="center">(0.001)</td>
										<td align="center">(0.001)</td>
										<td align="center">(0.001)</td>
									</tr>
									<tr>
										<td align="left" rowspan="2">CULT *DΔNI<sub>it-1</sub>*ΔNI<sub>it-1</sub></td>
										<td align="center">0.000</td>
										<td align="center">-0.004**</td>
										<td align="center">-0.004</td>
										<td align="center">0.000</td>
										<td align="center">0.004**</td>
										<td align="center">-0.005**</td>
									</tr>
									<tr>
										<td align="center">(0.002)</td>
										<td align="center">(0.002)</td>
										<td align="center">(0.004)</td>
										<td align="center">(0.002)</td>
										<td align="center">(0.002)</td>
										<td align="center">(0.002)</td>
									</tr>
									<tr>
										<td align="left" rowspan="2">Constante</td>
										<td align="center">-0.003</td>
										<td align="center">-0.044</td>
										<td align="center">-0.060</td>
										<td align="center">0.028**</td>
										<td align="center">0.006</td>
										<td align="center">-0.075**</td>
									</tr>
									<tr>
										<td align="center">(0.010)</td>
										<td align="center">(0.028)</td>
										<td align="center">(0.037)</td>
										<td align="center">(0.014)</td>
										<td align="center">(0.008)</td>
										<td align="center">(0.029)</td>
									</tr>
									<tr>
										<td align="left">Observações</td>
										<td align="center">54,484</td>
										<td align="center">54,484</td>
										<td align="center">54,484</td>
										<td align="center">54,484</td>
										<td align="center">54,484</td>
										<td align="center">54,484</td>
									</tr>
									<tr>
										<td align="left">R<sup>2</sup></td>
										<td align="center">0.042</td>
										<td align="center">0.048</td>
										<td align="center">0.049</td>
										<td align="center">0.045</td>
										<td align="center">0.060</td>
										<td align="center">0.055</td>
									</tr>
									<tr>
										<td align="left">FE setor-país-ano</td>
										<td align="center">Sim</td>
										<td align="center">Sim</td>
										<td align="center">Sim</td>
										<td align="center">Sim</td>
										<td align="center">Sim</td>
										<td align="center">Sim</td>
									</tr>
								</tbody>
							</table>
							<table-wrap-foot>
								<fn id="TFN24">
									<p>Robust standard errors in parentheses; *** p&lt;0.01, ** p&lt;0.05, * p&lt;0.1</p>
								</fn>
								<fn id="TFN25">
									<p>Legenda: CULT: dimensões culturais; AVER: <italic>score</italic> da dimensão cultural aversão à incerteza (Mod. 1); IND: individualismo <italic>versus</italic> coletivismo (Mod. 2); MASC: <italic>score</italic> da dimensão cultural masculinidade <italic>versus</italic> feminilidade (Mod. 3); DP: <italic>score</italic> da dimensão cultura distância do poder (Mod. 4); OLP: <italic>score</italic> da dimensão cultural orientação em longo prazo <italic>versus</italic> orientação em curto prazo (Mod. 5); INDUL: <italic>score</italic> da dimensão cultural indulgência <italic>versus</italic> restrição (Mod. 6).</p>
								</fn>
								<fn id="TFN26">
									<p>Fonte: Dados da pesquisa.</p>
								</fn>
							</table-wrap-foot>
						</table-wrap>
					</p>
					<p>Os resultados evidenciam a existência de uma relação positiva entre a AVER e o conservadorismo contábil, no entanto não permitem afirmar que a AVER pode influenciá-lo, pois α<sub>7</sub> não apresenta significância. O mesmo acontece com o coeficiente α<sub>6,</sub> que trata do reconhecimento antecipado dos ganhos, de maneira que este também não se mostrou significativo.</p>
					<p>Esse resultado vai de encontro ao proposto por <xref ref-type="bibr" rid="B15">Gray (1988</xref>), o qual aponta que o conservadorismo contábil pode ser veiculado à AVER, pois a preferência por uma contabilidade mais conservadora na medição dos lucros é coerente com a forte AVER, devido a uma preocupação com a segurança e necessidade de adoção de uma postura cautelosa ao lidar com a incerteza em eventos futuros. </p>
					<p>Em relação à H<sub>1</sub>, que pressupunha uma relação positiva entre a dimensão cultural AVER e a prática do conservadorismo contábil, os resultados permitiram rejeitar a hipótese. Tal resultado é contrário ao observado por <xref ref-type="bibr" rid="B30">Salter e Niswander (1995</xref>), <xref ref-type="bibr" rid="B33">Sudarwan e Fogarty (1996</xref>), <xref ref-type="bibr" rid="B32">Schultz e Lopez (2001</xref>) e <xref ref-type="bibr" rid="B26">Lima et al. (2016</xref>). No entanto, cabe destacar que essas pesquisas se basearam, geralmente, na opinião de auditores e contadores, ao invés de trabalhar com dados sobre conservadorismo diretamente. </p>
					<p>Ao verificar os resultados da relação entre o conservadorismo e a dimensão IND, o coeficiente α<sub>7</sub> (-0,0038) indica uma relação negativa entre as variáveis com significância de 5%, o que permite inferir que quanto menos individualistas são as empresas componentes da amostra, maior é o nível de conservadorismo contábil observado. </p>
					<p>Os resultados do estudo vão ao encontro dos achados de <xref ref-type="bibr" rid="B15">Gray (1988</xref>), que afirma que empresas presentes em países menos individualistas apresentam maior conservadorismo contábil. Por outro lado, esses resultados são contrários aos achados da pesquisa de <xref ref-type="bibr" rid="B29">Salter e Lewis (2011</xref>), que confirmou uma forte relação positiva entre valores societários de IND e o conservadorismo incondicional, diferentemente do observado no estudo realizado. No entanto, cabe destacar que neste estudo foi abordado o conservadorismo condicional, diferentemente do estudo de Salter e Lewis (<xref ref-type="bibr" rid="B29">2011</xref>), o que pode justificar os resultados contraditórios encontrados.</p>
					<p>Quanto à H<sub>2</sub>, que previa uma relação negativa entre o IND e o conservadorismo contábil, os resultados não permitem rejeitar a H<sub>2,</sub> o que vai ao encontro dos estudos de <xref ref-type="bibr" rid="B11">Doupnik e Tsakumis (2004</xref>) e <xref ref-type="bibr" rid="B29">Salter e Lewis (2011</xref>), bem como o sustentado por <xref ref-type="bibr" rid="B15">Gray (1988</xref>). No entanto, quando excluídas as empresas chinesas, da Coreia do Sul e de Taiwan, a relação passa a ser positiva, indicando que empresas de países mais individualistas seriam mais conservadoras, e isso vai contra a predição teórica. Esse resultado também foi encontrado por <xref ref-type="bibr" rid="B33">Sudarwan e Fogarty (1996</xref>) com empresas da Indonésia, um país com baixo índice de IND em um ambiente de mudança de padrões contábeis. </p>
					<p>Para a MASC, os resultados da <xref ref-type="table" rid="t60">Tabela 6</xref> indicam uma relação negativa entre o conservadorismo contábil e empresas de países com características culturais mais masculinas (α<sub>7</sub> = -0,0036), todavia, sem significância estatística. O coeficiente α<sub>6</sub> (-0,003), significativo a 1%, permite identificar uma relação negativa entre a MASC e o reconhecimento antecipado dos ganhos, o que pode ser explicado pela própria limitação imposta muitas vezes pelas normas contábeis para tal.</p>
					<p>Segundo as proposições de <xref ref-type="bibr" rid="B15">Gray (1988</xref>), a MASC apresenta uma relação negativa com o conservadorismo, pois empresas de países culturalmente mais masculinos apresentam-se mais competitivas e buscam mais por resultados, desempenho, o que implica uma maior influência sobre os gestores e preparadores das demonstrações contábeis, o que, no contexto, resultaria em uma tendência de apresentar um viés menos conservador na demonstração de seus resultados. No entanto, tal relação não pode ser confirmada no presente estudo.</p>
					<p>A relação negativa entre a MASC e o conservadorismo prevista na H<sub>3</sub> foi rejeitada, devido ao coeficiente não se apresentar significativo, com exceção do modelo em que a variável MASC foi capturada por meio de uma <italic>dummy</italic> (&gt; 50 = 1). Tal resultado contraria as proposições de <xref ref-type="bibr" rid="B15">Gray (1988</xref>) e os achados de <xref ref-type="bibr" rid="B30">Salter e Niswander (1995</xref>), os quais apontam que sociedades mais femininas são mais conservadoras.</p>
					<p>Para a relação entre o conservadorismo e a DP era esperada uma relação positiva, de maneira que, quanto maior o conservadorismo contábil apresentado pelas empresas componentes da amostra, maior seria o nível de DP observado. </p>
					<p>Ao relacionar o conservadorismo com a DP, por meio da análise do coeficiente α<sub>7</sub> (<xref ref-type="table" rid="t60">Tabela 6</xref>)<sub>,</sub> não é possível confirmar a relação esperada, em razão da não significância estatística do resultado e do sinal contrário apresentado pelo coeficiente. O mesmo acontece ao analisar o coeficiente α<sub>6</sub>, que se apresenta positivo, confirmando a relação esperada, no entanto sem significância estatística.</p>
					<p>Para a DP esperava-se uma relação positiva com o conservadorismo contábil, descrita na H<sub>4</sub>.Contudo, os resultados do estudo levaram à rejeição da hipótese, em função da inexistência de significância estatística entre as variáveis, bem como do sinal contrário do coeficiente. Esse resultado vai de encontro ao estudo de <xref ref-type="bibr" rid="B33">Sudarwan e Fogarty (1996</xref>), realizado na Indonésia, país que possui um alto <italic>score</italic> para a DP (78); bem como a pesquisa de <xref ref-type="bibr" rid="B26">Lima et al. (2016</xref>), com operadores de contabilidade brasileiros, que também apresentaram um alto índice para essa dimensão (69).</p>
					<p>A relação positiva esperada entre as variáveis, que indica que quanto maior a OLP presente na cultura das empresas, maior seria o nível do conservadorismo contábil, é confirmada mediante a análise do coeficiente α<sub>7</sub> (0,0038), que se mostra significativo a 5%. A análise do coeficiente α<sub>6</sub> (0,0010), contudo, não confirma a relação positiva da dimensão com o reconhecimento antecipado dos ganhos, pois o coeficiente não apresenta significância estatística. Os resultados da pesquisa corroboram os encontrados por Radebaugh e Gray (2002), que apontaram que o conservadorismo contábil é influenciado positivamente por essa dimensão cultural. </p>
					<p>Quanto à OLP, conforme expresso na hipótese H<sub>5</sub>, era esperada uma relação positiva. Apenas quando retiradas as empresas da China, Coreia do Sul e Taiwan o resultado não se mostrou significativo. tal dimensão não foi relacionada em estudos anteriores com a prática do conservadorismo contábil. Portanto, esse resultado é importante na medida em que testa empiricamente uma proposição teórica e, pelo menos para a amostra total, encontra confirmação empírica.</p>
					<p>De acordo com <xref ref-type="bibr" rid="B22">Hofstede, Hofstede e Minkov (2010</xref>), a indulgência envolve uma tendência de os indivíduos pertencentes a uma sociedade se permitirem desfrutar de desenhos humanos, aproveitando a vida. Desta maneira, sociedades com pontuação maior nessa dimensão tendem a ser menos conservadoras. Logo, a partir da análise do coeficiente α<sub>7</sub> (-0,004), a amostra pesquisada confirma o efeito esperado, de forma que a INDUL é associada negativamente ao conservadorismo contábil, com significância estatística de 5%. </p>
					<p>Para a última dimensão testada no estudo, a INDUL, esperava-se uma relação negativa com o conservadorismo contábil, conforme a H<sub>6</sub>. Com base nos resultados, não se pode rejeitar a H<sub>6</sub> (com exceção dos modelos com variáveis de controle da <xref ref-type="table" rid="t50">Tabela 5</xref>, que não foram significativos), confirmando-se a predição teórica de que empresas de sociedades mais indulgentes adotam práticas contábeis menos conservadoras.</p>
					<p>De maneira geral, pode-se inferir que empresas de países mais individualistas e de caráter indulgente podem apresentar práticas contábeis menos conservadoras, enquanto aquelas de países com cultura de maior OLP apresentam comportamento inverso (mais conservador). </p>
				</sec>
			</sec>
			<sec sec-type="conclusions">
				<title>5. CONSIDERAÇÕES FINAIS</title>
				<p>O presente estudo teve como objetivo avaliar a influência das dimensões culturais de Hofstede (2017) no nível de conservadorismo contábil de empresas de diferentes países. Para tal, realizou-se uma pesquisa com amostra de 7.798 empresas e 54.484 observações, extraídas de 32 países. </p>
				<p>A realização deste estudo buscou evidências empíricas que pudessem contribuir para a reflexão e discussão sobre a QIC. Entender como o conservadorismo apresenta-se nas demonstrações contábeis é importante porque auxilia na análise econômico-financeira das empresas, contribui para os processos regulatórios da contabilidade, além de promover a emissão de demonstrações contábeis de maior qualidade. </p>
				<p>Em síntese, por meio dos achados deste estudo e corroborando o exposto na literatura, conclui-se que a informação contábil sofre influência de fatores culturais provenientes de seu país. Especificamente no caso deste estudo, conclui-se que determinadas dimensões culturais, principalmente o IND, a OLP e a INDUL estão relacionadas à prática do conservadorismo contábil das empresas analisadas, a primeira e a última negativamente. </p>
				<p>Uma das principais implicações deste estudo é que a comparabilidade das demonstrações contábeis de empresas de diferentes países pode não ser uma tarefa simples de ser alcançada, ainda que utilizadas normas contábeis padrões, como as IFRS, por exemplo, em função das diferenças culturais entre os países que afetam a QIC.</p>
				<p>Outra importante implicação do estudo é que a análise da qualidade da contabilidade em âmbito internacional, especificamente no caso do conservadorismo contábil, tem que levar em conta fatores culturais de cada país, que deveriam ser considerados pelos respectivos órgãos normatizadores nacionais, a fim de produzir normas contábeis mais adequadas à realidade de cada nação. </p>
				<p>Por fim, é importante destacar que o estudo possui limitações. A primeira é a suposição de perenidade da cultura nacional. Nesse sentido, como recomendações para futuros estudos, pode ser interessante considerar que a cultura nacional de um país pode ser alterada em longo prazo. Assim, estudos com horizonte temporais mais longos poderiam identificar as mudanças culturais dos países e como isso afetaria a QIC em longo prazo. </p>
				<p>Outra limitação do estudo consiste em não considerar diferenças regionais dentro de cada país. Assim, um ponto a ser discutido em pesquisas futuras é a condição de que mesmo dentro de um único país podem existir culturas diferentes e estas podem influenciar de modo distinto o conservadorismo contábil.</p>
			</sec>
		</body>
	</sub-article!-->
</article>