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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Sustain.</journal-id>
<journal-title>Frontiers in Sustainability</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sustain.</abbrev-journal-title>
<issn pub-type="epub">2673-4524</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/frsus.2025.1514393</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Sustainability</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Financial literacy and environmental sustainability: a cross-country test</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Salahodjaev</surname> <given-names>Raufhon</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1836317/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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<contrib contrib-type="author">
<name><surname>Sadikov</surname> <given-names>Avazbek</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
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<aff id="aff1"><sup>1</sup><institution>Department of Economics, University of Tashkent for Applied Sciences</institution>, <addr-line>Tashkent</addr-line>, <country>Uzbekistan</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of State and Corporative Strategies, National University of Uzbekistan named after Mirzo Ulugbek</institution>, <addr-line>Tashkent</addr-line>, <country>Uzbekistan</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Omaima Hassan, Robert Gordon University, United Kingdom</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Hasan Hanif, Air University, Pakistan</p>
<p>Benjamin Ighodalo Ehikioya, Covenant University, Nigeria</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Raufhon Salahodjaev <email>salahodjaev&#x00040;gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>03</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>6</volume>
<elocation-id>1514393</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>02</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2025 Salahodjaev and Sadikov.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Salahodjaev and Sadikov</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>An increasing number of countries are facing environmental pressure due to factors such as industrialization, rapid economic growth, the overuse of natural resources, energy consumption, and financial crises. We analyzed data from a sample of 131 countries for the period 2000&#x02013;2024, allowing for the consideration of key factors influencing environmental degradation and testing the hypothesis that nations with higher levels of financial literacy are better positioned to advance toward a sustainable future.</p>
</sec>
<sec>
<title>Methods</title>
<p>This study uses two variables as proxies for environmental sustainability. Our first dependent variable is the Environmental Performance Index (EPI) for the year 2024. Our second indicator is the ND GAIN Index presented by the Notre Dame Global Adaptation Initiative. The ND GAIN Country Index is composed of two key dimensions of adaptation: vulnerability and readiness. Considering that financial literacy data are only available at cross-sectional levels, we estimate the relationship between environmental sustainability and financial literacy using the ordinary least squares (OLS) estimator with heteroskedasticity-adjusted robust standard errors.</p>
</sec>
<sec>
<title>Results</title>
<p>The bivariate association between financial literacy and EPI suggests that a one standard deviation increase in financial literacy is associated with more than a half standard deviation increase in EPI. The results show that GDP has a non-linear relationship between GDP per capita and environmental indicators, while globalization enhances environmental sustainability.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>From the baseline results, we document that the financial literacy of a population is associated with improvements in environmental quality across countries, thus providing additional evidence that financial literacy not only improves financial wealth/capital preservation but also preserves environmental wealth/capital. We also document that financial literacy is an important determinant of environmental sustainability even after controlling for democracy and economic development. This implies that it is crucial to invest in financial literacy even in lower-income countries. The series of robustness tests offer clear evidence that financial literacy is an essential antecedent of environmental sustainability and should be taken into account in long-term policy planning.</p>
</sec></abstract>
<kwd-group>
<kwd>financial literacy</kwd>
<kwd>environmental degradation</kwd>
<kwd>sustainability</kwd>
<kwd>cross country</kwd>
<kwd>climate change</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="8"/>
<equation-count count="2"/>
<ref-count count="63"/>
<page-count count="11"/>
<word-count count="7183"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Quantitative Sustainability Assessment</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>The literature acknowledges that financial literacy and education are crucial for enabling consumers to make informed decisions and exhibit responsible financial behavior (Allgood and Walstad, <xref ref-type="bibr" rid="B2">2016</xref>; Grohmann, <xref ref-type="bibr" rid="B18">2018</xref>; Zahid et al., <xref ref-type="bibr" rid="B60">2024</xref>). As a result, financial literacy enhances the financial inclusion of individuals and households, boosting their capacity to accumulate wealth (Behrman et al., <xref ref-type="bibr" rid="B5">2012</xref>). It is essential for shaping financial behavior and plays a key role in addressing significant modern economic issues, such as growing inequality (Kebede et al., <xref ref-type="bibr" rid="B29">2023</xref>). The potential benefits of financial literacy extend beyond individual gains and have a profound impact at the societal level. These advantages encompass various aspects, including economic development, improved quality of life, financial growth, and, likely, environmental sustainability (Xiao and Xin, <xref ref-type="bibr" rid="B58">2022</xref>; Pa&#x0015F;a et al., <xref ref-type="bibr" rid="B47">2022</xref>). The concept of environmental sustainability in the context of economic development has served as a key framework for environmental research and has evolved into a dominant paradigm for development since its introduction in the Brundtland Report in 1987 (WCED, <xref ref-type="bibr" rid="B57">1987</xref>). The Brundtland Report defines sustainable development as a form of progress that fulfills present needs while ensuring that future generations can also meet their own requirements without compromise. As a result, numerous indicators have been developed to assess sustainable development, such as green GDP, ecological footprint, and others (Garn&#x000E5;sjordet et al., <xref ref-type="bibr" rid="B17">2012</xref>). Moreover, research exploring the non-economic determinants of environmental sustainability has rapidly increased. While studies have shown that social capital, cultural values, cognitive abilities, human capital, and education (Disli et al., <xref ref-type="bibr" rid="B13">2016</xref>; Lee et al., <xref ref-type="bibr" rid="B34">2024</xref>; Salahodjaev, <xref ref-type="bibr" rid="B52">2018</xref>; Zhang and Fu, <xref ref-type="bibr" rid="B62">2023</xref>) are linked to climate change mitigation, the role of financial literacy has not been investigated in this context.</p>
<p>An increasing number of countries are facing environmental pressure due to factors such as industrialization, rapid economic growth, the overuse of natural resources, energy consumption, and financial crises. Consequently, there is greater environmental responsibility for future generations. In Europe, these environmental costs surpass 1.6 trillion US dollars, contributing to over 600,000 premature deaths.<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> Future generations are already bearing the consequences of environmental degradation, having to confront challenges that previous generations did not fully anticipate. Issues such as climate change, resource scarcity, rising global temperatures, extreme weather events, and the depletion of essential resources such as clean water and fertile land are becoming increasingly evident (Kahn et al., <xref ref-type="bibr" rid="B26">2021</xref>). These burdens underscore the urgent need for data-driven policy solutions to ensure that future generations can thrive in a healthier, more stable environment.</p>
<p>In their efforts to influence policy, design targeted interventions, and deepen our understanding of the causes of environmental degradation, environmental scholars have developed various empirical models that identify multiple factors influencing environmental sustainability. In this study, we argue that considering the importance of financial development and the complex nature of sustainable development, conducting empirical exploration that accounts for financial literacy in cross-national environmental modeling is vital for interdisciplinary research. Thus, our study aims to extend previous research by considering financial literacy as an important variable.</p>
<p>Existing research suggests that financial literacy is a multifaceted concept, simultaneously encompassing knowledge, education, ability, competence, and responsibility (Zait and Bertea, <xref ref-type="bibr" rid="B61">2014</xref>). The definition of financial literacy has become increasingly complex, mirroring the evolving economy. Researchers and financial experts have long debated the precise meaning of the term (Remund, <xref ref-type="bibr" rid="B50">2010</xref>). One of the earliest definitions of financial literacy was proposed by Noctor et al. (<xref ref-type="bibr" rid="B44">1992</xref>), who suggested that financial literacy is the capability to effectively apply financial knowledge to make well-informed decisions. In turn, the Organization for Economic Cooperation and Development (OECD) (<xref ref-type="bibr" rid="B46">2013</xref>, p. 144) offers one of the most widely used definitions of financial literacy, which encompasses &#x0201C;knowledge and understanding of financial concepts and risks, and the skills, motivation, and confidence to apply such knowledge and understanding in order to make effective decisions across a range of financial contexts, to improve the financial well-being of individuals and society, and to enable participation in economic life&#x0201D;. At the same time, there is consensus that financial literacy is a fundamental skill essential for planning and long-term decision-making. Consequently, it is crucial to theoretically connect financial literacy to sustainable development and evaluate its empirical relationship with environmental degradation.</p>
<p>We analyzed data from a sample of 131 countries for the period 2000&#x02013;2024, allowing for the consideration of key factors influencing environmental degradation and testing the hypothesis that nations with higher levels of financial literacy are better positioned to advance toward a sustainable future. Our findings, with the aid of the ordinary least squares (OLS) method, show that financial literacy is significantly and positively linked to environmental performance and readiness for climate change. These results have major policy implications. The underlying benefits of financial literacy are numerous, and governments in economies in transition can improve environmental sustainability by providing financial education to citizens.</p>
<p>The remainder of the study is structured as follows: Section 2 provides a theoretical explanation of the relationship between financial literacy and environmental sustainability. Section 3 presents the data and methodology, while Section 4 discusses the main results. Finally, Section 5 concludes the study and offers policy implications.</p>
</sec>
<sec id="s2">
<title>2 The link between financial literacy and environmental sustainability</title>
<p>Continuing rising greenhouse gas emissions and consequently increased local temperature volatility pose significant risks to the effectiveness of government programs and international efforts to mitigate global climate change. In response, countries are increasingly shifting from a top-down approach to a bottom&#x02013;up strategy, encouraging communities to adopt green technologies and foster environmentally friendly behaviors, such as sustainable consumption. This shift transfers many decisions regarding climate change adaptation from institutions to communities and individuals, particularly the responsibility to invest in renewable energy technologies or purchase zero-carbon electric vehicles (Kastner and Stern, <xref ref-type="bibr" rid="B28">2015</xref>). This transition has produced several positive implications. For example, when society is aware of climate change and committed to investing in renewable energy production, it leads to job creation and enhances energy security, which in turn empowers communities and reduces migration. As a result, climate change places a greater responsibility on societies to become financially literate, increasing their ability to assess the costs and benefits of green energy consumption and execute informed decisions about household investments. In this vein, financial literacy is an aspect of human capital linked to long-term planning by considering economic information and dynamic scenarios (Remund, <xref ref-type="bibr" rid="B50">2010</xref>). As suggested by Lyons and Kass-Hanna (<xref ref-type="bibr" rid="B36">2021</xref>, p. 2), &#x0201C;a key component of financial literacy includes having awareness and knowledge about available products and services and how to access and use them given available tools and modes of delivery&#x0201D;. Since mitigating climate change requires interaction among economic agents and long-term planning, it is possible that societies with higher levels of financial literacy will be able to perform better on established environmental policy targets.</p>
<p>There are several channels through which financial literacy may affect environmental sustainability. First, financial literacy may have important implications for taking part in collective action but also for social capital. Financial literacy may affect decisions to participate in climate change mitigation programs via social trust, as Guiso et al. (<xref ref-type="bibr" rid="B20">2008</xref>, p. 2,557) define trust as &#x0201C;the subjective probability individuals attribute to the possibility of being cheated&#x0201D;. Since cooperation between different economic agents is instrumental in addressing the problems of climate change, and cooperation requires trust among actors, financial literacy may play an important role as it is directly related to interpersonal and institutional trust (Nitoi and Pochea, <xref ref-type="bibr" rid="B43">2024</xref>). Adoption of climate change mitigation technologies, such as renewable energy and novel methods of sustainable agriculture, is a complex task that requires advanced financial solutions. Financial literacy can improve an individual&#x00027;s capacity to participate in these activities and manage green investments effectively. It can also empower communities to oversee the implementation of climate change initiatives and ensure that the allocation of resources aligns with their investment objectives. By doing so, financial literacy may boost the willingness to engage in climate change solutions, either independently or through intermediaries. For example, Fisch and Seligman (<xref ref-type="bibr" rid="B16">2022</xref>) show that both trust and financial literacy are positively correlated with the willingness to participate in financial markets. One psychological mechanism that helps explain how financial literacy can affect sustainable decision-making is <bold>delay discounting</bold>.</p>
<p><bold>Delay discounting</bold> refers to the tendency to devalue rewards or benefits that are delayed in time. In essence, people are often inclined to prefer immediate, smaller rewards over larger, delayed rewards, even when the delayed rewards are more beneficial in the long run (Madden et al., <xref ref-type="bibr" rid="B37">2003</xref>). This cognitive bias is commonly observed in financial decisions (e.g., choosing immediate spending over saving for future financial security). Similarly, delay discounting is relevant to influencing environmental decisions as well (e.g., prioritizing short-term consumption over long-term environmental health) (Beauchaine et al., <xref ref-type="bibr" rid="B4">2017</xref>). Individuals with higher financial literacy are typically better able to assess and manage long-term financial consequences, such as saving for retirement or investing in assets that appreciate over time (Yeh, <xref ref-type="bibr" rid="B59">2022</xref>). In terms of environmental sustainability, this can translate into behaviors such as investing in renewable energy, conserving resources, or supporting policies that foster long-term environmental health, even when such actions may involve short-term costs or inconveniences. Moreover, individuals with high financial literacy are likely more attuned to the long-term economic costs of environmental degradation, which could motivate them to make more sustainable choices.</p>
<p>Second, financially literate individuals are more likely to have virtues, such as patience, planning, and long-term orientation (Brent and Ward, <xref ref-type="bibr" rid="B7">2018</xref>; Davoli and Rodr&#x000ED;guez-Planas, <xref ref-type="bibr" rid="B10">2020</xref>), which are often seen as central to environmentalism and beneficial to both themselves and society (Cai et al., <xref ref-type="bibr" rid="B8">2020</xref>). For example, financial literacy predicts lower levels of energy consumption (Kalmi et al., <xref ref-type="bibr" rid="B27">2021</xref>), saving energy (Morgan and Long, <xref ref-type="bibr" rid="B40">2020</xref>), and adopting renewable energy (Twumasi et al., <xref ref-type="bibr" rid="B55">2022</xref>), which is important for the implementation of environmental policies. At the cross-country level, financial literacy improves financial development (Clichici and Moagar-Poladian, <xref ref-type="bibr" rid="B9">2022</xref>), raises financial inclusion, and promotes economic growth (Grohmann et al., <xref ref-type="bibr" rid="B19">2018</xref>; Pa&#x0015F;a et al., <xref ref-type="bibr" rid="B47">2022</xref>). These variables have been associated with environmental sustainability in cross-country empirical studies (Jamel and Maktouf, <xref ref-type="bibr" rid="B25">2017</xref>; Le et al., <xref ref-type="bibr" rid="B33">2020</xref>). Similarly, studies report that financial literacy may play an essential moderating role in enabling societies to harness the positive effects of digitalization and innovation and assist in increasing climate change mitigation efforts (Luo and Cheng, <xref ref-type="bibr" rid="B35">2023</xref>; Huang et al., <xref ref-type="bibr" rid="B22">2024</xref>).</p>
<p>Research on financial literacy has largely concentrated on decisions related to financial behavior and stock market involvement (Van Rooij et al., <xref ref-type="bibr" rid="B56">2011</xref>; Khan et al., <xref ref-type="bibr" rid="B30">2020</xref>). While these are undoubtedly significant choices, other contexts also demand similar abilities and can lead to costly errors. One prominent area in which society is believed to mismanage resources is the efficient management of natural wealth. The unsustainable practice of allowing domestic savings to fall below the depletion of natural assets, which imposes long-term costs on society, has been widely discussed in the literature (Madreimov and Li, <xref ref-type="bibr" rid="B38">2019</xref>).</p>
<p>A general finding in economics research is that agents often opt for the wrong choices, driven either by behavioral biases or a lack of necessary information to pursue optimal choices. There is an expanding body of research on financial literacy, emphasizing how financial education can develop critical skills for making important decisions related to investment and retirement. While research on financial literacy has primarily focused on long-term personal wealth management, such as debt and retirement planning, there are notable parallels between financial literacy and natural resource management. Both areas require the integration of technical knowledge with complex mathematical calculations. Thus, as suggested by Brent and Ward (<xref ref-type="bibr" rid="B7">2018</xref> p. 195), &#x0201C;an alternative mechanism is that financial literacy simply reduces optimization error for cognitively difficult decisions&#x0201D;. Our analysis builds on these previous studies by focusing specifically on financial literacy. Hence, based on the above discussion, we formulate the following hypotheses:</p>
<p>H1: Financial literacy has a significant relationship with environmental sustainability indicators.</p>
</sec>
<sec id="s3">
<title>3 Data and methods</title>
<p>This study uses two variables as proxies for environmental sustainability. Our first dependent variable is the Environmental Performance Index (EPI) for the year 2024 from Block et al. (<xref ref-type="bibr" rid="B6">2024</xref>). We use the EPI as the primary indicator of environmental sustainability for a number of reasons. First, the EPI is calculated from 58 performance indicators across 11 issue categories, which enables it to capture the multidimensional nature of environmental sustainability. Second, it is available for 180 countries, which allows us to maximize the sample size. Finally, as socio-economic variables, such as GDP or education, are not included in the EPI, we can use conventional empirical models to control for the effect of economic policies on environmental degradation.</p>
<p>Our second indicator is the ND GAIN Index presented by the Notre Dame Global Adaptation Initiative. The ND GAIN Country Index is composed of two key dimensions of adaptation: vulnerability and readiness. While vulnerability assesses a country&#x00027;s exposure, sensitivity, and capacity to adapt to the negative effects of climate change, readiness captures a country&#x00027;s ability to leverage investments and convert them into adaptation actions. This index has been widely used in environmental research studies (Halkos et al., <xref ref-type="bibr" rid="B21">2020</xref>; Kling et al., <xref ref-type="bibr" rid="B32">2021</xref>; Regan et al., <xref ref-type="bibr" rid="B48">2019</xref>).</p>
<p>Our main independent variable is financial literacy, which is taken from Klapper et al. (<xref ref-type="bibr" rid="B31">2015</xref>). In their study, financial literacy was estimated based on a set of &#x0201C;questions assessing basic knowledge of four fundamental concepts in financial decision-making: knowledge of interest rates, interest compounding, inflation, and risk diversification&#x0201D; (Klapper et al., <xref ref-type="bibr" rid="B31">2015</xref> p. 2). In our sample, financial literacy ranged from 13% in Yemen to 71% in Sweden.</p>
<p>We estimate the following empirical model to assess the relationship between financial literacy and EPI:</p>
<disp-formula id="E1"><label>(1)</label><mml:math id="M1"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:mi>E</mml:mi><mml:mi>S</mml:mi><mml:mtext>&#x000A0;</mml:mtext><mml:mo>=</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B1;</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msub><mml:mtext>&#x000A0;</mml:mtext><mml:mo>&#x0002B;</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:msub><mml:mrow><mml:mi>&#x003B1;</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mi>F</mml:mi><mml:mi>L</mml:mi><mml:mtext>&#x000A0;</mml:mtext><mml:mo>&#x0002B;</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:msub><mml:mrow><mml:mi>a</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub><mml:mi>D</mml:mi><mml:mi>E</mml:mi><mml:mi>M</mml:mi><mml:mtext>&#x000A0;</mml:mtext><mml:mo>&#x0002B;</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:msub><mml:mrow><mml:mi>a</mml:mi></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub><mml:mi>G</mml:mi><mml:mi>D</mml:mi><mml:mi>P</mml:mi><mml:mtext>&#x000A0;</mml:mtext><mml:mo>&#x0002B;</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:msub><mml:mrow><mml:mi>a</mml:mi></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow></mml:msub><mml:mi>G</mml:mi><mml:mi>D</mml:mi><mml:mi>P</mml:mi><mml:mi>&#x002C6;</mml:mi><mml:mn>2</mml:mn></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mtext>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;</mml:mtext><mml:mo>&#x0002B;</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:msub><mml:mrow><mml:mi>a</mml:mi></mml:mrow><mml:mrow><mml:mn>5</mml:mn></mml:mrow></mml:msub><mml:mi>P</mml:mi><mml:mi>g</mml:mi><mml:mi>r</mml:mi><mml:mi>o</mml:mi><mml:mi>w</mml:mi><mml:mi>t</mml:mi><mml:mi>h</mml:mi><mml:mtext>&#x000A0;</mml:mtext><mml:mo>&#x0002B;</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:msub><mml:mrow><mml:mi>a</mml:mi></mml:mrow><mml:mrow><mml:mn>6</mml:mn></mml:mrow></mml:msub><mml:mi>K</mml:mi><mml:mi>O</mml:mi><mml:mi>F</mml:mi><mml:mtext>&#x000A0;</mml:mtext><mml:mo>&#x0002B;</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:mi>&#x003B5;</mml:mi></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<p>where ES stands for one of the indicators for environmental sustainability, FL is financial literacy, DEM denotes democracy, GDP is GDP per capita, Pgrowth is population growth, KOF is KOF Index of Globalization, and &#x003B5; is an error term satisfying normality assumptions.</p>
<p>We include several control variables following Salahodjaev (<xref ref-type="bibr" rid="B51">2016</xref>), who models the relationship between human capital and EPI across countries. First, <bold>GDP per capita</bold> is included to model the relationship between economic growth and environmental sustainability. Then, the Environmental Kuznets Curve (EKC) theory suggests that the relationship between economic development and environmental degradation follows an inverted U-shape. In the early stages of economic progress, an increase in GDP results in increased environmental deterioration; however, once a certain level of GDP per capita is reached, further increases in GDP per capita are expected to lead to environmental improvement through abatement and conservation efforts (Dinda, <xref ref-type="bibr" rid="B12">2004</xref>). However, studies show that, apart from economic growth, political institutions such as democracy may play an important role in explaining cross-country differences in environmental sustainability (Obydenkova and Salahodjaev, <xref ref-type="bibr" rid="B45">2016</xref>). Therefore, we include a <bold>democracy index</bold> from the Democracy Matrix, hosted by the University of Wurzburg. Next, we include <bold>population growth</bold> to account for population pressure. The data were obtained from the World Bank. Finally, we include the <bold>KOF Index</bold> to account for global interdependencies in environmental sustainability (Zhuo and Qamruzzaman, <xref ref-type="bibr" rid="B63">2022</xref>). <xref ref-type="table" rid="T1">Table 1</xref> presents the summary statistics for the variables used in this study. For example, the EPI ranges from 24.5 in Vietnam to 75.3 in Estonia. The average financial literacy level is 37, which is comparable to the levels of Togo or Serbia. The average population growth rate is 1.36%. <xref ref-type="fig" rid="F1">Figure 1</xref> shows the visual association between financial literacy and EPI. The scatter plot suggests that financial literacy is positively correlated with environmental performance. The correlation coefficient between these two variables is 0.67. The countries used in this analysis are listed in <xref ref-type="sec" rid="A1">Table A1</xref>. Considering that financial literacy data are only available at cross-sectional levels, we estimate <xref ref-type="disp-formula" rid="E1">Equation 1</xref> using the ordinary least squares (OLS) estimator with heteroskedasticity-adjusted robust standard errors. The correlation matrix is presented in <xref ref-type="table" rid="T2">Table 2</xref>. The control variables are averaged over the period 2000&#x02013;2020 to reduce the problem of reverse causality and macroeconomic volatility. We inspected whether multicollinearity could pose a problem for our main estimates. VIF test shows that individual VIF scores are well below threshold values (VIF = 4). Only VIF scores for GDP per capita and its squared term exceed VIF threshold values due to the direct mathematical relationship between these two variables.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Summary of statistics.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="left"><bold>Description</bold></th>
<th valign="top" align="center"><bold>Mean</bold></th>
<th valign="top" align="center"><bold>Std. dev</bold>.</th>
<th valign="top" align="center"><bold>Min</bold>.</th>
<th valign="top" align="center"><bold>Max</bold>.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">EPI</td>
<td valign="top" align="left">Environmental Performance Index, 2024</td>
<td valign="top" align="center">46.83</td>
<td valign="top" align="center">11.58</td>
<td valign="top" align="center">24.50</td>
<td valign="top" align="center">75.30</td>
</tr>
<tr>
<td valign="top" align="left">ND Gain</td>
<td valign="top" align="left">ND Gain Index, 2021</td>
<td valign="top" align="center">49.61</td>
<td valign="top" align="center">10.81</td>
<td valign="top" align="center">26.95</td>
<td valign="top" align="center">75.02</td>
</tr>
<tr>
<td valign="top" align="left">FL</td>
<td valign="top" align="left">Financial literacy, 2015</td>
<td valign="top" align="center">36.78</td>
<td valign="top" align="center">13.87</td>
<td valign="top" align="center">13.00</td>
<td valign="top" align="center">71.00</td>
</tr>
<tr>
<td valign="top" align="left">DEM</td>
<td valign="top" align="left">Democracy index, 2000&#x02013;2020</td>
<td valign="top" align="center">0.60</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.98</td>
</tr>
<tr>
<td valign="top" align="left">GDP</td>
<td valign="top" align="left">GDP per capita, adjusted for PPP, 2000&#x02013;2020</td>
<td valign="top" align="center">9.26</td>
<td valign="top" align="center">1.14</td>
<td valign="top" align="center">6.68</td>
<td valign="top" align="center">11.62</td>
</tr>
<tr>
<td valign="top" align="left">Pgrowth</td>
<td valign="top" align="left">Population growth, 2000&#x02013;2020</td>
<td valign="top" align="center">1.36</td>
<td valign="top" align="center">1.22</td>
<td valign="top" align="center">&#x02212;2.05</td>
<td valign="top" align="center">7.16</td>
</tr>
<tr>
<td valign="top" align="left">KOF</td>
<td valign="top" align="left">KOF Index of Globalization, 2000&#x02013;2020</td>
<td valign="top" align="center">57.72</td>
<td valign="top" align="center">14.61</td>
<td valign="top" align="center">26.90</td>
<td valign="top" align="center">88.71</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>We use the ND Gain Index for 2021, the latest available.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Scatter plot of financial literacy and environmental sustainability.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="frsus-06-1514393-g0001.tif"/>
</fig>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Correlation matrix.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th/>
<th valign="top" align="center"><bold>ND Gain</bold></th>
<th valign="top" align="center"><bold>EPI</bold></th>
<th valign="top" align="center"><bold>FL</bold></th>
<th valign="top" align="center"><bold>DEM</bold></th>
<th valign="top" align="center"><bold>GDP</bold></th>
<th valign="top" align="center"><bold>Pgrowth</bold></th>
<th valign="top" align="center"><bold>KOF</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">ND Gain</td>
<td valign="top" align="center">1.00</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">EPI</td>
<td valign="top" align="center">0.81</td>
<td valign="top" align="center">1.00</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">FL</td>
<td valign="top" align="center">0.68</td>
<td valign="top" align="center">0.68</td>
<td valign="top" align="center">1.00</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">DEM</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">0.68</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center">1.00</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">GDP</td>
<td valign="top" align="center">0.90</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">0.60</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center">1.00</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Pgrowth</td>
<td valign="top" align="center">&#x02212;0.56</td>
<td valign="top" align="center">&#x02212;0.52</td>
<td valign="top" align="center">&#x02212;0.23</td>
<td valign="top" align="center">&#x02212;0.47</td>
<td valign="top" align="center">&#x02212;0.47</td>
<td valign="top" align="center">1.00</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">KOF</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">0.83</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">&#x02212;0.55</td>
<td valign="top" align="center">1</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4">
<title>4 Results</title>
<p>The main results are presented in <xref ref-type="table" rid="T3">Table 3</xref>. Column I provides estimates for the bivariate association between financial literacy and EPI. The coefficient is positive and significant at the 1% level, as predicted. In particular, a one standard deviation increase in financial literacy is associated with more than a half-standard deviation increase in EPI. Column I represents the overall relationship (both direct and indirect) between financial literacy and environmental sustainability. In column II, following nascent research on cross-country sustainability, we considered the democratization rate (Obydenkova and Salahodjaev, <xref ref-type="bibr" rid="B45">2016</xref>). Democracy and financial literacy were both positive and significant. Next, in column III, we include GDP per capita and GDP per capita squared to assess the existence of the EKC trend in our model. GDP per capita has a U-shaped link with environmental quality, which is consistent with existing environmental studies (Dutt, <xref ref-type="bibr" rid="B14">2009</xref>). Financial literacy has a positive link with EPI even after controlling for economic development and the quality of political institutions. In column IV, the KOF index is included as a proxy for globalization in the empirical analysis. The link between globalization and environmental degradation has been intensively studied over the past two decades (Farooq et al., <xref ref-type="bibr" rid="B15">2022</xref>; Rehman et al., <xref ref-type="bibr" rid="B49">2023</xref>). The evidence is, at best, mixed. In our study, we find that globalization is positively linked to environmental sustainability and that financial literacy remains positive and significant at the 5% level. Column V includes the population growth. Population growth can negatively impact environmental quality by increasing the demand for resources, for example, leading to greater deforestation, pollution, and the depletion of natural habitats. While population growth has a negative impact on environmental quality, financial literacy remains positive and significant. Similarly, in column VI, we test the bivariate association between financial literacy and the NG Gain index. Again, there is a significant positive relationship between financial literacy and climate change readiness. Column VII, which includes control variables, further confirms that financial literacy is a robust predictor of environmental sustainability. The results in <xref ref-type="table" rid="T3">Table 3</xref> show that GDP has a non-linear relationship between GDP per capita and environmental indicators, while globalization enhances environmental sustainability.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Main results.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th/>
<th valign="top" align="center"><bold>I</bold></th>
<th valign="top" align="center"><bold>II</bold></th>
<th valign="top" align="center"><bold>III</bold></th>
<th valign="top" align="center"><bold>IV</bold></th>
<th valign="top" align="center"><bold>V</bold></th>
<th valign="top" align="center"><bold>VI</bold></th>
<th valign="top" align="center"><bold>VII</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">FL</td>
<td valign="top" align="center">0.6092<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.3919<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.1342<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.1333<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.1311<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.5572<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.1105<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(10.76)</td>
<td valign="top" align="center">(6.08)</td>
<td valign="top" align="center">(2.14)</td>
<td valign="top" align="center">(2.23)</td>
<td valign="top" align="center">(2.27)</td>
<td valign="top" align="center">(13.59)</td>
<td valign="top" align="center">(2.97)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">DEM</td>
<td/>
<td valign="top" align="center">21.7123<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">16.1442<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">11.7400<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">8.8775<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td/>
<td valign="top" align="center">&#x02212;3.4631</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">(5.70)</td>
<td valign="top" align="center">(5.06)</td>
<td valign="top" align="center">(3.72)</td>
<td valign="top" align="center">(2.64)</td>
<td/>
<td valign="top" align="center">(1.61)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">GDP</td>
<td/>
<td/>
<td valign="top" align="center">&#x02212;15.2229<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;32.3525<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;29.9818<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td/>
<td valign="top" align="center">&#x02212;16.6282<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">(2.24)</td>
<td valign="top" align="center">(4.35)</td>
<td valign="top" align="center">(3.96)</td>
<td/>
<td valign="top" align="center">(3.43)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">GDP<sup>2</sup></td>
<td/>
<td/>
<td valign="top" align="center">1.1311<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">2.0257<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.8090<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td/>
<td valign="top" align="center">1.1758<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">(2.91)</td>
<td valign="top" align="center">(4.97)</td>
<td valign="top" align="center">(4.22)</td>
<td/>
<td valign="top" align="center">(4.32)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">PGrowth</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x02212;2.5169<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;2.1887<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td/>
<td valign="top" align="center">&#x02212;2.0869<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="center">(3.74)</td>
<td valign="top" align="center">(3.20)</td>
<td/>
<td valign="top" align="center">(5.51)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">KOF</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.1852<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td/>
<td valign="top" align="center">0.1958<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">(1.81)</td>
<td/>
<td valign="top" align="center">(3.05)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Constant</td>
<td valign="top" align="center">25.1614<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">19.4907<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">74.6438<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">161.6144<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">148.5180<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">30.6633<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">91.5539<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(11.62)</td>
<td valign="top" align="center">(9.45)</td>
<td valign="top" align="center">(2.47)</td>
<td valign="top" align="center">(4.65)</td>
<td valign="top" align="center">(4.18)</td>
<td valign="top" align="center">(17.49)</td>
<td valign="top" align="center">(3.99)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>R</italic><sup>2</sup></td>
<td valign="top" align="center">0.45</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">0.74</td>
<td valign="top" align="center">0.78</td>
<td valign="top" align="center">0.78</td>
<td valign="top" align="center">0.48</td>
<td valign="top" align="center">0.90</td>
</tr>
<tr>
<td valign="top" align="left"><italic>N</italic></td>
<td valign="top" align="center">134</td>
<td valign="top" align="center">133</td>
<td valign="top" align="center">132</td>
<td valign="top" align="center">132</td>
<td valign="top" align="center">132</td>
<td valign="top" align="center">136</td>
<td valign="top" align="center">133</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1"><label>&#x0002A;</label><p><italic>p</italic> &#x0003C; 0.1;</p></fn>
<fn id="TN2"><label>&#x0002A;&#x0002A;</label><p><italic>p</italic> &#x0003C; 0.05;</p></fn>
<fn id="TN3"><label>&#x0002A;&#x0002A;&#x0002A;</label><p><italic>p</italic> &#x0003C; 0.01.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>In <xref ref-type="table" rid="T4">Table 4</xref>, we test whether the link between financial literacy and EPI can be due to other variables related to environmental sustainability. In particular, we include financial development measured by domestic credit to the private sector as a percentage of GDP from the World Bank. Research suggests that financial literacy is related to financial development (Clichici and Moagar-Poladian, <xref ref-type="bibr" rid="B9">2022</xref>) which, in turn, is a predictor of EPI (Adeel-Farooq et al., <xref ref-type="bibr" rid="B1">2023</xref>). Studies have also linked financial literacy to human capital and other socio-economic outcomes (Thomas and Spataro, <xref ref-type="bibr" rid="B53">2018</xref>; Mu&#x000F1;oz-Murillo et al., <xref ref-type="bibr" rid="B41">2020</xref>; Twumasi et al., <xref ref-type="bibr" rid="B55">2022</xref>). Therefore, we include the average years of schooling from the UN database. Finally, we add population density data from the World Bank to capture the relationship between population pressure and sustainable development. Financial literacy retains its significant relationship with EPI (column I) and the ND Gain Index (column II) even after controlling for additional antecedents of environmental degradation. In addition, we found that human capital is a significant determinant of sustainable development across countries.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Additional controls.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th/>
<th valign="top" align="center"><bold>I</bold></th>
<th valign="top" align="center"><bold>II</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">FL</td>
<td valign="top" align="center">0.1014<xref ref-type="table-fn" rid="TN4"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.0906<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(1.74)</td>
<td valign="top" align="center">(2.40)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">DEM</td>
<td valign="top" align="center">9.6970<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;1.6053</td>
</tr>
<tr>
<td valign="top" align="center">(3.06)</td>
<td valign="top" align="center">(0.78)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">GDP</td>
<td valign="top" align="center">&#x02212;38.3712<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;15.3265<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(5.66)</td>
<td valign="top" align="center">(2.88)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">GDP<sup>2</sup></td>
<td valign="top" align="center">2.2627<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.0367<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(5.94)</td>
<td valign="top" align="center">(3.55)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">PGrowth</td>
<td valign="top" align="center">&#x02212;1.6825<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;1.4510<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(2.41)</td>
<td valign="top" align="center">(3.78)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">KOF</td>
<td valign="top" align="center">0.2075<xref ref-type="table-fn" rid="TN4"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.0729</td>
</tr>
<tr>
<td valign="top" align="center">(1.97)</td>
<td valign="top" align="center">(1.17)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">MYS</td>
<td valign="top" align="center">0.6225<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.8430<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(1.99)</td>
<td valign="top" align="center">(3.62)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">FD</td>
<td valign="top" align="center">&#x02212;0.0381<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.0357<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(2.57)</td>
<td valign="top" align="center">(2.83)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Density</td>
<td valign="top" align="center">&#x02212;0.0022<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.0001</td>
</tr>
<tr>
<td valign="top" align="center">(3.31)</td>
<td valign="top" align="center">(0.34)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Constant</td>
<td valign="top" align="center">182.4161<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">89.0430<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(5.71)</td>
<td valign="top" align="center">(3.59)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>R</italic><sup>2</sup></td>
<td valign="top" align="center">0.81</td>
<td valign="top" align="center">0.91</td>
</tr>
<tr>
<td valign="top" align="left"><italic>N</italic></td>
<td valign="top" align="center">131</td>
<td valign="top" align="center">131</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN4"><label>&#x0002A;</label><p><italic>p</italic> &#x0003C; 0.1;</p></fn>
<fn id="TN5"><label>&#x0002A;&#x0002A;</label><p><italic>p</italic> &#x0003C; 0.05;</p></fn>
<fn id="TN6"><label>&#x0002A;&#x0002A;&#x0002A;</label><p><italic>p</italic> &#x0003C; 0.01.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>When exploring the deep roots of socio-economic development and quality of life, scholars consider the role of geography. Social norms and human capital indicators are also correlated with geography (Torpe and Lolle, <xref ref-type="bibr" rid="B54">2011</xref>; Nikolaev and Salahodjaev, <xref ref-type="bibr" rid="B42">2017</xref>). This may be particularly useful since De Beckker et al. (<xref ref-type="bibr" rid="B11">2020</xref>) show that financial literacy is strongly correlated with cultural values. Therefore, in <xref ref-type="table" rid="T5">Table 5</xref>, we include latitude and longitude (column I), share of population living in the tropics (column II), distance to the coast (column III), and continental dummies (column IV). Across all specifications, financial literacy was positive and statistically significant. Similarly, the results remain robust when we use the ND Gain as a dependent variable in <xref ref-type="table" rid="T6">Table 6</xref>.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Financial literacy, geography, and EPI.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th/>
<th valign="top" align="center"><bold>I</bold></th>
<th valign="top" align="center"><bold>II</bold></th>
<th valign="top" align="center"><bold>III</bold></th>
<th valign="top" align="center"><bold>IV</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">FL</td>
<td valign="top" align="center">0.1519<xref ref-type="table-fn" rid="TN8"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.1266<xref ref-type="table-fn" rid="TN8"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.1193<xref ref-type="table-fn" rid="TN8"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.1042<xref ref-type="table-fn" rid="TN8"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(2.59)</td>
<td valign="top" align="center">(2.18)</td>
<td valign="top" align="center">(2.06)</td>
<td valign="top" align="center">(2.25)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">DEM</td>
<td valign="top" align="center">7.3663<xref ref-type="table-fn" rid="TN8"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">9.1759<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">9.8607<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">4.3604</td>
</tr>
<tr>
<td valign="top" align="center">(2.06)</td>
<td valign="top" align="center">(2.73)</td>
<td valign="top" align="center">(2.74)</td>
<td valign="top" align="center">(1.44)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">GDP</td>
<td valign="top" align="center">&#x02212;28.7774<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;29.2810<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;29.1476<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;14.3779<xref ref-type="table-fn" rid="TN7"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(3.65)</td>
<td valign="top" align="center">(3.85)</td>
<td valign="top" align="center">(3.82)</td>
<td valign="top" align="center">(1.92)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">GDP<sup>2</sup></td>
<td valign="top" align="center">1.7371<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.7592<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.7706<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.0376<xref ref-type="table-fn" rid="TN8"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(3.92)</td>
<td valign="top" align="center">(4.08)</td>
<td valign="top" align="center">(4.12)</td>
<td valign="top" align="center">(2.42)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">PGrowth</td>
<td valign="top" align="center">&#x02212;1.9874<xref ref-type="table-fn" rid="TN8"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;2.0677<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;2.1093<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.7377</td>
</tr>
<tr>
<td valign="top" align="center">(2.48)</td>
<td valign="top" align="center">(2.98)</td>
<td valign="top" align="center">(3.09)</td>
<td valign="top" align="center">(0.85)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">KOF</td>
<td valign="top" align="center">0.1640<xref ref-type="table-fn" rid="TN7"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.1920<xref ref-type="table-fn" rid="TN7"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.1957<xref ref-type="table-fn" rid="TN7"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.0598</td>
</tr>
<tr>
<td valign="top" align="center">(1.71)</td>
<td valign="top" align="center">(1.88)</td>
<td valign="top" align="center">(1.91)</td>
<td valign="top" align="center">(0.64)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Latitude</td>
<td valign="top" align="center">0.0457</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="center">(1.60)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Longitude</td>
<td valign="top" align="center">&#x02212;0.0318<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="center">(2.86)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Tropics</td>
<td/>
<td valign="top" align="center">&#x02212;0.0119</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">(0.74)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Coast</td>
<td/>
<td/>
<td valign="top" align="center">1.7989</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">(1.29)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Africa</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x02212;6.6856<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="center">(2.63)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Asia</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x02212;12.4254<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="center">(6.26)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Oceania</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x02212;5.6470<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="center">(2.99)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">North America</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x02212;6.8254<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="center">(3.55)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">South America</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x02212;6.1187<xref ref-type="table-fn" rid="TN8"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="center">(2.49)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Constant</td>
<td valign="top" align="center">144.4738<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">146.1225<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">142.4853<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">87.3361<xref ref-type="table-fn" rid="TN8"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(3.86)</td>
<td valign="top" align="center">(4.12)</td>
<td valign="top" align="center">(3.95)</td>
<td valign="top" align="center">(2.58)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>R</italic><sup>2</sup></td>
<td valign="top" align="center">0.81</td>
<td valign="top" align="center">0.78</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center">0.86</td>
</tr>
<tr>
<td valign="top" align="left"><italic>N</italic></td>
<td valign="top" align="center">132</td>
<td valign="top" align="center">132</td>
<td valign="top" align="center">132</td>
<td valign="top" align="center">131</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN7"><label>&#x0002A;</label><p><italic>p</italic> &#x0003C; 0.1;</p></fn>
<fn id="TN8"><label>&#x0002A;&#x0002A;</label><p><italic>p</italic> &#x0003C; 0.05;</p></fn>
<fn id="TN9"><label>&#x0002A;&#x0002A;&#x0002A;</label><p><italic>p</italic> &#x0003C; 0.01.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Financial literacy, geography, and ND Gain Index.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th/>
<th valign="top" align="center"><bold>I</bold></th>
<th valign="top" align="center"><bold>II</bold></th>
<th valign="top" align="center"><bold>III</bold></th>
<th valign="top" align="center"><bold>IV</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">FL</td>
<td valign="top" align="center">0.0909<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.1033<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.0876<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.0982</td>
</tr>
<tr>
<td valign="top" align="center">(2.60)</td>
<td valign="top" align="center">(2.85)</td>
<td valign="top" align="center">(2.34)</td>
<td valign="top" align="center">(2.44)<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">DEM</td>
<td valign="top" align="center">&#x02212;0.0471</td>
<td valign="top" align="center">&#x02212;2.9083</td>
<td valign="top" align="center">&#x02212;1.7388</td>
<td valign="top" align="center">&#x02212;1.2638</td>
</tr>
<tr>
<td valign="top" align="center">(0.02)</td>
<td valign="top" align="center">(1.41)</td>
<td valign="top" align="center">(0.91)</td>
<td valign="top" align="center">(0.61)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">GDP</td>
<td valign="top" align="center">&#x02212;13.0493<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;15.1094<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;15.6961<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;19.5891</td>
</tr>
<tr>
<td valign="top" align="center">(2.70)</td>
<td valign="top" align="center">(3.17)</td>
<td valign="top" align="center">(3.21)</td>
<td valign="top" align="center">(4.03)<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">GDP<sup>2</sup></td>
<td valign="top" align="center">0.9731<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.0712<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.1400<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.3137</td>
</tr>
<tr>
<td valign="top" align="center">(3.60)</td>
<td valign="top" align="center">(3.96)</td>
<td valign="top" align="center">(4.13)</td>
<td valign="top" align="center">(4.80)<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">PGrowth</td>
<td valign="top" align="center">&#x02212;1.6038<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;1.8613<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;1.9619<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;2.4322</td>
</tr>
<tr>
<td valign="top" align="center">(3.85)</td>
<td valign="top" align="center">(5.15)</td>
<td valign="top" align="center">(5.37)</td>
<td valign="top" align="center">(5.33)<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">KOF</td>
<td valign="top" align="center">0.1894<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.2102<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.2097<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.2246</td>
</tr>
<tr>
<td valign="top" align="center">(3.43)</td>
<td valign="top" align="center">(3.51)</td>
<td valign="top" align="center">(3.27)</td>
<td valign="top" align="center">(3.78)<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Latitude</td>
<td valign="top" align="center">0.0242</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="center">(1.36)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Longitude</td>
<td valign="top" align="center">0.0237<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="center">(4.29)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Tropics</td>
<td/>
<td valign="top" align="center">&#x02212;0.0214<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">(2.52)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Coast</td>
<td/>
<td/>
<td valign="top" align="center">3.2260<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">(3.84)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Africa</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">1.4975</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="center">(1.04)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Asia</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">3.5819<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="center">(3.06)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Oceania</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">7.2426<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="center">(4.51)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">North America</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x02212;0.3785</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="center">(0.37)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">South America</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.1249</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="center">(0.10)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Constant</td>
<td valign="top" align="center">73.3249<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">85.9723<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">83.5181<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">103.2195<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(3.20)</td>
<td valign="top" align="center">(3.87)</td>
<td valign="top" align="center">(3.63)</td>
<td valign="top" align="center">(4.57)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>R</italic><sup>2</sup></td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">0.90</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">0.91</td>
</tr>
<tr>
<td valign="top" align="left"><italic>N</italic></td>
<td valign="top" align="center">133</td>
<td valign="top" align="center">133</td>
<td valign="top" align="center">133</td>
<td valign="top" align="center">132</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN10"><label>&#x0002A;&#x0002A;</label><p><italic>p</italic> &#x0003C; 0.05;</p></fn>
<fn id="TN11"><label>&#x0002A;&#x0002A;&#x0002A;</label><p><italic>p</italic> &#x0003C; 0.01.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Controlling for extreme data points is crucial in cross-country research, particularly when dealing with a limited number of observations without a time dimension. Outliers or influential observations can disproportionately affect statistical estimates, potentially leading to biased or insignificant conclusions. By excluding extreme data points, we aim to mitigate the risk of such distortions and provide additional robustness tests for the general relationship between financial literacy and environmental sustainability. Thus, in <xref ref-type="table" rid="T7">Table 7</xref>, we re-estimated the main findings after removing influential or extreme data points from the sample. Specifically, we excluded the top three countries by the EPI, the bottom three countries by the EPI, the top three countries by the ND Gain Index, the bottom three countries by the ND Gain Index, and countries with GDP per capita (adjusted for purchasing power parity) below 3,000 international dollars. This approach helps assess whether the findings are driven by outliers or extreme cases that might skew the overall results. Across all columns, financial literacy is a significant predictor of environmental sustainability.</p>
<table-wrap position="float" id="T7">
<label>Table 7</label>
<caption><p>Accounting for influential observations.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th/>
<th valign="top" align="center"><bold>I</bold></th>
<th valign="top" align="center"><bold>II</bold></th>
<th valign="top" align="center"><bold>III</bold></th>
<th valign="top" align="center"><bold>IV</bold></th>
<th valign="top" align="center"><bold>V</bold></th>
<th valign="top" align="center"><bold>VI</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">FL</td>
<td valign="top" align="center">0.1218<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.1626<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.1252<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.1002<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.1099<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.1236<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(2.10)</td>
<td valign="top" align="center">(3.08)</td>
<td valign="top" align="center">(2.18)</td>
<td valign="top" align="center">(2.69)</td>
<td valign="top" align="center">(2.87)</td>
<td valign="top" align="center">(3.10)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">DEM</td>
<td valign="top" align="center">8.5397<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">6.9358<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">9.3669<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;3.4794</td>
<td valign="top" align="center">&#x02212;3.8383<xref ref-type="table-fn" rid="TN12"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;4.2490<xref ref-type="table-fn" rid="TN12"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(2.54)</td>
<td valign="top" align="center">(2.16)</td>
<td valign="top" align="center">(2.62)</td>
<td valign="top" align="center">(1.63)</td>
<td valign="top" align="center">(1.77)</td>
<td valign="top" align="center">(1.91)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">GDP</td>
<td valign="top" align="center">&#x02212;27.7139<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;28.6450<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;16.7943</td>
<td valign="top" align="center">&#x02212;15.3624<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;19.6017<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;23.1935<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(3.51)</td>
<td valign="top" align="center">(3.72)</td>
<td valign="top" align="center">(1.27)</td>
<td valign="top" align="center">(3.22)</td>
<td valign="top" align="center">(4.06)</td>
<td valign="top" align="center">(2.56)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">GDP<sup>2</sup></td>
<td valign="top" align="center">1.6802<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.7277<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.1424</td>
<td valign="top" align="center">1.1064<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.3297<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.4992<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(3.73)</td>
<td valign="top" align="center">(3.95)</td>
<td valign="top" align="center">(1.62)</td>
<td valign="top" align="center">(4.14)</td>
<td valign="top" align="center">(4.89)</td>
<td valign="top" align="center">(3.10)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">PGrowth</td>
<td valign="top" align="center">&#x02212;2.0466<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;2.4699<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;1.9519<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;2.0574<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;2.1098<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;2.1956<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(3.05)</td>
<td valign="top" align="center">(3.71)</td>
<td valign="top" align="center">(2.70)</td>
<td valign="top" align="center">(5.50)</td>
<td valign="top" align="center">(5.51)</td>
<td valign="top" align="center">(5.02)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">KOF</td>
<td valign="top" align="center">0.1913<xref ref-type="table-fn" rid="TN12"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.1668<xref ref-type="table-fn" rid="TN12"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.1824<xref ref-type="table-fn" rid="TN12"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.1927<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.1984<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.2043<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(1.86)</td>
<td valign="top" align="center">(1.71)</td>
<td valign="top" align="center">(1.77)</td>
<td valign="top" align="center">(3.03)</td>
<td valign="top" align="center">(3.02)</td>
<td valign="top" align="center">(3.01)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Constant</td>
<td valign="top" align="center">138.5343<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">145.1251<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">83.5951</td>
<td valign="top" align="center">86.3139<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">105.9180<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">124.1806<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">(3.77)</td>
<td valign="top" align="center">(4.01)</td>
<td valign="top" align="center">(1.31)</td>
<td valign="top" align="center">(3.83)</td>
<td valign="top" align="center">(4.64)</td>
<td valign="top" align="center">(2.81)</td>
</tr>
<tr>
<td valign="top" align="left">Exclusion criteria</td>
<td valign="top" align="center">Top-3 EPI</td>
<td valign="top" align="center">Bottom-3 EPI</td>
<td valign="top" align="center">GDP per capita below $3,000 PPP</td>
<td valign="top" align="center">Top-3 ND Gain Index</td>
<td valign="top" align="center">Bottom-3 ND Gain Index</td>
<td valign="top" align="center">GDP per capita below $3,000 PPP</td>
</tr>
<tr>
<td valign="top" align="left"><italic>R</italic><sup>2</sup></td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">0.87</td>
</tr>
<tr>
<td valign="top" align="left"><italic>N</italic></td>
<td valign="top" align="center">129</td>
<td valign="top" align="center">129</td>
<td valign="top" align="center">115</td>
<td valign="top" align="center">130</td>
<td valign="top" align="center">130</td>
<td valign="top" align="center">115</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN12"><label>&#x0002A;</label><p><italic>p</italic> &#x0003C; 0.1;</p></fn>
<fn id="TN13"><label>&#x0002A;&#x0002A;</label><p><italic>p</italic> &#x0003C; 0.05;</p></fn>
<fn id="TN14"><label>&#x0002A;&#x0002A;&#x0002A;</label><p><italic>p</italic> &#x0003C; 0.01.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s5">
<title>5 Conclusion</title>
<p>From the perspective of environmental research, this study mainly examines the effect of financial literacy on environmental sustainability in more than 131 countries over the period 2000&#x02013;2024. Financial literacy is measured as average population responses to a set of questions measuring various dimensions of financial knowledge, while two indicators for environmental sustainability are used: EPI and ND Gain Index. From the baseline results, we document that the financial literacy of a population is associated with improvements in environmental quality across countries, thus providing additional evidence that financial literacy not only improves financial wealth/capital preservation (Morgan and Long, <xref ref-type="bibr" rid="B40">2020</xref>) but also preserves environmental wealth/capital. We also document that financial literacy is an important determinant of environmental sustainability even after controlling for democracy and economic development. This implies that it is crucial to invest in financial literacy even in lower-income countries. The series of robustness tests offer clear evidence that financial literacy is an essential antecedent of environmental sustainability and should be taken into account in long-term policy planning.</p>
<p>Our study offers several policy implications for governments in developing countries. Developing countries should prioritize incorporating financial literacy into their national education curricula. By embedding financial literacy early on, countries can empower individuals to make informed financial and environmental decisions. Public awareness campaigns and community-based financial education programs can also be used to target a broader population, including adults and vulnerable segments of the population in climate change affected areas. Policymakers can work with educational institutions to create initiatives that teach individuals how their consumption, savings, and investment choices impact the environment. For example, promoting green finance and sustainable investment options could help populations contribute to environmental preservation. In addition, promoting financial knowledge among small-scale farmers and entrepreneurs can help them adopt sustainable agricultural practices or eco-friendly business models, which not only improve livelihoods but also support environmental preservation.</p>
<p>It is important to mention that our study offers preliminary cross-country evidence and has a number of limitations. First, due to the nature of the data on financial literacy scores across countries, we are not able to examine the dynamic effect of financial literacy on environmental degradation over time. Moreover, our study provides financial literacy for the year 2015, which is lagged compared to our dependent variables. At the same time, studies show that financial literacy scores are relatively stable across time (Angrisani et al., <xref ref-type="bibr" rid="B3">2023</xref>; Hung et al., <xref ref-type="bibr" rid="B24">2009</xref>).</p>
<p>Consequently, the use of more complex methods such as the system GMM estimator or instrumental variable regression to unbundle the causal relationship between financial literacy and environmental indicators is not feasible at this stage. Second, while the financial literacy scores cover a large sample of countries, they are only available for 2015, which restricts our analysis from using financial literacy indices for the most recent years. While PISA and other schooling test results offer other proxies for financial literacy, these studies cover only a proportion of our global sample. Prospective studies should examine the effects of financial literacy on climate change awareness and environmental decisions at the individual level in both rural and urban areas. In addition, it is essential to examine whether financial literacy can indirectly influence environmental degradation via other channels, such as renewable energy consumption or the adoption of energy-efficient technologies that are linked to environmental degradation (Huang et al., <xref ref-type="bibr" rid="B23">2021</xref>; Mirziyoyeva and Salahodjaev, <xref ref-type="bibr" rid="B39">2023</xref>). Further studies should explore these relationships in greater detail, focusing on the role of financial literacy in shaping the public&#x00027;s understanding of environmental issues and influencing their actions toward reducing environmental harm.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found here: World Bank.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>RS: Formal analysis, Investigation, Writing &#x02013; original draft. AS: Conceptualization, Supervision, Writing &#x02013; original draft.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
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<title>Generative AI statement</title>
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<fn-group>
<fn id="fn0001"><p><sup>1</sup><ext-link ext-link-type="uri" xlink:href="https://www.who.int/europe/news-room/28-04-2015-air-pollution-costs-european-economies-us-1-6-trillion-a-year-in-diseases-and-deaths-new-who-study-says">https://www.who.int/europe/news-room/28-04-2015-air-pollution-costs-european-economies-us-1-6-trillion-a-year-in-diseases-and-deaths-new-who-study-says</ext-link></p></fn>
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<app-group>
<app id="A1">
<title>Appendix</title>
<table-wrap position="float" id="TA1">
<label>Table A1</label>
<caption><p>List of countries.</p></caption>
<table frame="box" rules="all">
<tbody>
<tr>
<td valign="top" align="left">Afghanistan</td>
<td valign="top" align="left">Cyprus</td>
<td valign="top" align="left">Kuwait</td>
<td valign="top" align="left">Russian Federation</td>
</tr>
<tr>
<td valign="top" align="left">Albania</td>
<td valign="top" align="left">Czechia</td>
<td valign="top" align="left">Kyrgyz Republic</td>
<td valign="top" align="left">Rwanda</td>
</tr>
<tr>
<td valign="top" align="left">Algeria</td>
<td valign="top" align="left">Denmark</td>
<td valign="top" align="left">Latvia</td>
<td valign="top" align="left">Saudi Arabia</td>
</tr>
<tr>
<td valign="top" align="left">Angola</td>
<td valign="top" align="left">Dominican Republic</td>
<td valign="top" align="left">Lebanon</td>
<td valign="top" align="left">Senegal</td>
</tr>
<tr>
<td valign="top" align="left">Argentina</td>
<td valign="top" align="left">Ecuador</td>
<td valign="top" align="left">Lithuania</td>
<td valign="top" align="left">Serbia</td>
</tr>
<tr>
<td valign="top" align="left">Armenia</td>
<td valign="top" align="left">Egypt, Arab Rep.</td>
<td valign="top" align="left">Luxembourg</td>
<td valign="top" align="left">Sierra Leone</td>
</tr>
<tr>
<td valign="top" align="left">Australia</td>
<td valign="top" align="left">El Salvador</td>
<td valign="top" align="left">Madagascar</td>
<td valign="top" align="left">Singapore</td>
</tr>
<tr>
<td valign="top" align="left">Austria</td>
<td valign="top" align="left">Estonia</td>
<td valign="top" align="left">Malawi</td>
<td valign="top" align="left">Slovak Republic</td>
</tr>
<tr>
<td valign="top" align="left">Azerbaijan</td>
<td valign="top" align="left">Ethiopia</td>
<td valign="top" align="left">Malaysia</td>
<td valign="top" align="left">Slovenia</td>
</tr>
<tr>
<td valign="top" align="left">Bahrain</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="left">Mali</td>
<td valign="top" align="left">South Africa</td>
</tr>
<tr>
<td valign="top" align="left">Bangladesh</td>
<td valign="top" align="left">France</td>
<td valign="top" align="left">Malta</td>
<td valign="top" align="left">Spain</td>
</tr>
<tr>
<td valign="top" align="left">Belarus</td>
<td valign="top" align="left">Gabon</td>
<td valign="top" align="left">Mauritania</td>
<td valign="top" align="left">Sri Lanka</td>
</tr>
<tr>
<td valign="top" align="left">Belgium</td>
<td valign="top" align="left">Georgia</td>
<td valign="top" align="left">Mauritius</td>
<td valign="top" align="left">Sweden</td>
</tr>
<tr>
<td valign="top" align="left">Belize</td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Mexico</td>
<td valign="top" align="left">Switzerland</td>
</tr>
<tr>
<td valign="top" align="left">Benin</td>
<td valign="top" align="left">Ghana</td>
<td valign="top" align="left">Moldova</td>
<td valign="top" align="left">Tajikistan</td>
</tr>
<tr>
<td valign="top" align="left">Bhutan</td>
<td valign="top" align="left">Greece</td>
<td valign="top" align="left">Mongolia</td>
<td valign="top" align="left">Tanzania</td>
</tr>
<tr>
<td valign="top" align="left">Bolivia</td>
<td valign="top" align="left">Guatemala</td>
<td valign="top" align="left">Montenegro</td>
<td valign="top" align="left">Thailand</td>
</tr>
<tr>
<td valign="top" align="left">Bosnia and Herzegovina</td>
<td valign="top" align="left">Guinea</td>
<td valign="top" align="left">Myanmar</td>
<td valign="top" align="left">Togo</td>
</tr>
<tr>
<td valign="top" align="left">Botswana</td>
<td valign="top" align="left">Haiti</td>
<td valign="top" align="left">Namibia</td>
<td valign="top" align="left">Tunisia</td>
</tr>
<tr>
<td valign="top" align="left">Brazil</td>
<td valign="top" align="left">Honduras</td>
<td valign="top" align="left">Nepal</td>
<td valign="top" align="left">T&#x000FC;rkiye</td>
</tr>
<tr>
<td valign="top" align="left">Bulgaria</td>
<td valign="top" align="left">Hungary</td>
<td valign="top" align="left">Netherlands</td>
<td valign="top" align="left">Turkmenistan</td>
</tr>
<tr>
<td valign="top" align="left">Burkina Faso</td>
<td valign="top" align="left">India</td>
<td valign="top" align="left">New Zealand</td>
<td valign="top" align="left">Uganda</td>
</tr>
<tr>
<td valign="top" align="left">Burundi</td>
<td valign="top" align="left">Indonesia</td>
<td valign="top" align="left">Nicaragua</td>
<td valign="top" align="left">Ukraine</td>
</tr>
<tr>
<td valign="top" align="left">Cambodia</td>
<td valign="top" align="left">Iran, Islamic Rep.</td>
<td valign="top" align="left">Niger</td>
<td valign="top" align="left">United Arab Emirates</td>
</tr>
<tr>
<td valign="top" align="left">Cameroon</td>
<td valign="top" align="left">Iraq</td>
<td valign="top" align="left">Nigeria</td>
<td valign="top" align="left">United Kingdom</td>
</tr>
<tr>
<td valign="top" align="left">Canada</td>
<td valign="top" align="left">Ireland</td>
<td valign="top" align="left">North Macedonia</td>
<td valign="top" align="left">United States</td>
</tr>
<tr>
<td valign="top" align="left">Chad</td>
<td valign="top" align="left">Israel</td>
<td valign="top" align="left">Norway</td>
<td valign="top" align="left">Uruguay</td>
</tr>
<tr>
<td valign="top" align="left">Chile</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="left">Pakistan</td>
<td valign="top" align="left">Uzbekistan</td>
</tr>
<tr>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Jamaica</td>
<td valign="top" align="left">Panama</td>
<td valign="top" align="left">Venezuela, RB</td>
</tr>
<tr>
<td valign="top" align="left">Colombia</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">Peru</td>
<td valign="top" align="left">Viet Nam</td>
</tr>
<tr>
<td valign="top" align="left">Congo, Dem. Rep.</td>
<td valign="top" align="left">Jordan</td>
<td valign="top" align="left">Philippines</td>
<td valign="top" align="left">Zambia</td>
</tr>
<tr>
<td valign="top" align="left">Congo, Rep.</td>
<td valign="top" align="left">Kazakhstan</td>
<td valign="top" align="left">Poland</td>
<td valign="top" align="left">Zimbabwe</td>
</tr>
<tr>
<td valign="top" align="left">Costa Rica</td>
<td valign="top" align="left">Kenya</td>
<td valign="top" align="left">Portugal</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Croatia</td>
<td valign="top" align="left">Korea, Rep.</td>
<td valign="top" align="left">Romania</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</app>
</app-group>
</back>
</article>