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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Energy Res.</journal-id>
<journal-title>Frontiers in Energy Research</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Energy Res.</abbrev-journal-title>
<issn pub-type="epub">2296-598X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">860427</article-id>
<article-id pub-id-type="doi">10.3389/fenrg.2022.860427</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Energy Research</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>RETRACTED: Does Economic Development Impact CO<sub>2</sub> Emissions and Energy Efficiency Performance? Fresh Evidences From Europe</article-title>
<alt-title alt-title-type="left-running-head">Liu et al.</alt-title>
<alt-title alt-title-type="right-running-head">Impact of Economic Development on CO<sub>2</sub> Emission and Energy Efficiency</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Hongying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Kuan-Ting</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Khudoykulov</surname>
<given-names>Khurshid</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Tai</surname>
<given-names>Tran Duc</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="c001">
<sup>&#x2a;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1644276/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ngo</surname>
<given-names>Thanh Quang</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="fn" rid="fn1">&#x2020;</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Phan</surname>
<given-names>Thi Thu Hien</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>
<institution>School of Economics and Statistics</institution>, <institution>Xingzhi College of Xi&#x2019;an University of Finance and Economics</institution>, <addr-line>Xi&#x2019;an</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>
<institution>Department of Finance</institution>, <institution>Asia University</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>
<institution>Department of Finance</institution>, <institution>Tashkent State University of Economics</institution>, <addr-line>Tashkent</addr-line>, <country>Uzbekista</country>
</aff>
<aff id="aff4">
<label>
<sup>4</sup>
</label>
<institution>Faculty of Business Administration</institution>, <institution>Van Lang University</institution>, <addr-line>Ho Chi Minh City</addr-line>, <country>Vietnam</country>
</aff>
<aff id="aff5">
<label>
<sup>5</sup>
</label>
<institution>School of Government</institution>, <institution>University of Economics Ho Chi Minh City (UEH)</institution>, <addr-line>Ho Chi Minh City</addr-line>, <country>Vietnam</country>
</aff>
<aff id="aff6">
<label>
<sup>6</sup>
</label>
<institution>Faculty of Accounting and Auditing</institution>, <institution>Foreign Trade University</institution>, <addr-line>Hanoi</addr-line>, <country>Vietnam</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/880530/overview">Muhammad Mohsin</ext-link>, Jiangsu University, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1647708/overview">Hashim Zameer</ext-link>, Nanjing University of Aeronautics and Astronautics, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1367453/overview">Muhammad Sadiq</ext-link>, Taylor&#x2019;s University, Malaysia</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Tran Duc Tai, <email>tai.td@vlu.edu.vn</email>
</corresp>
<fn fn-type="other" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>ORCID: Thanh Quang Ngo, <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0001-8357-1957">orcid.org/0000-0001-8357-1957</ext-link>
</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Sustainable Energy Systems and Policies, a section of the journal Frontiers in Energy Research</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="eretracted">
<day>07</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>860427</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Liu, Wang, Khudoykulov, Tai, Ngo and Phan.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Liu, Wang, Khudoykulov, Tai, Ngo and Phan</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>
<p>Data from a survey of 21 European nations from 2006 to 2018 investigates the relationship between economic development and carbon dioxide emissions. The PCA of normalised factors is used to create three quantitative measures for financial intermediation dependent on the results of the study. When estimating the framework, we used the Hoechle method, which generates systematic deviation for linear panel styles that really are not homoskedasticity coherent and moreover resistant to broad types of cross-sectional dependency. We observe that earnings, resource utilization, industrialization, urbanisation, foreign direct investment, and the banking system all seem to have contributed to increased carbon dioxide emissions in the area. However, greater economic access appears to have resulted in a reduction in greenhouse gas emissions. In terms of quality, the results are resilient to a variety of alternative proxies for financial inclusions as well as acceptable changes to the conceptual framework. According to the empirical findings, there are currently no regulatory interactions linking increasing economic development and reducing carbon dioxide emissions at the national level. As a result, economic growth should be incorporated into the implementation of sustainable green economy plans at the municipal, provincial, and city levels, particularly to counteract the documented detrimental impact of higher carbon dioxide emissions associated with increased financial inclusion.</p>
</abstract>
<kwd-group>
<kwd>carbon di oxide emissions</kwd>
<kwd>economic develeopment</kwd>
<kwd>green economy</kwd>
<kwd>Europe</kwd>
<kwd>Econometric analys1s</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1. Introduction</title>
<p>The aspect of financial development is integral to that of the economy (<xref ref-type="bibr" rid="B30">Galindo et al., 2003</xref>). Increasing economic development is an important part of growing the banking system and establishing new organizations. Research that identified financial barriers as a significant driver of impoverishment spurred the development of the idea of financial intermediation in the early 1990s (<xref ref-type="bibr" rid="B27">Elliott et al., 2003</xref>). This means that all people and companies should have access to a wide range of investment vehicles, including exchanges, remittances, deposits, and credit facilities, in order to fulfil their requirements at a reasonable price in a sustainable and long-term way (<xref ref-type="bibr" rid="B4">Allayannis and Ofek 2001</xref>). Carbon dioxide emissions are a significant contributor to GHG emissions and the development of severe weather events, both of which are frequently used as environmental factors due to their role as GHGs (<xref ref-type="bibr" rid="B76">Pantzalis et al., 2001</xref>; <xref ref-type="bibr" rid="B66">Makino et al., 2007</xref>; <xref ref-type="bibr" rid="B18">Cheema et al., 2020</xref>).</p>
<p>Greenhouse emissions and usage have risen in tandem as world production has expanded, pushing up emissions of carbon dioxide. As per the International Energy Agency, worldwide non-renewable resource emissions of carbon dioxide rose by 65% between 1980 and 2018 (<xref ref-type="bibr" rid="B34">Glaum et al., 2000</xref>). Besides uncontrolled elements, including seasonal changes and environmental catastrophes, human-produced emissions of carbon dioxide have had a significant effect on world total greenhouse gas emissions. The impact of climate change has been exacerbated significantly by human-caused carbon dioxide emissions. Therefore, it seems critical at this point to create a single market for selling exhaust emissions as well as good rules and regulations to control carbon dioxide emissions (<xref ref-type="bibr" rid="B29">Froot et al., 1993</xref>; <xref ref-type="bibr" rid="B19">Chen et al., 1997</xref>). It is indeed possible that economic development will have both constructive and undesirable consequences for emissions of carbon dioxide. Financial inclusion, on the one hand, makes it simpler for companies and people to do this, and cheap financial schemes make a significant contribution to renewable technology more realistic (<xref ref-type="bibr" rid="B12">Bodnar and Wong 2003</xref>; <xref ref-type="bibr" rid="B49">Kim et al., 2020</xref>). To put it another way, comprehensive banking systems have significant ecological effects by producing quality sustainability initiatives that are more accessible and affordable, and therefore reduce carbon dioxide emissions (<xref ref-type="bibr" rid="B33">Gilchrist and Zakraj&#x161;ek 2012</xref>).</p>
<p>Promoting economic development is especially important for impoverished areas where producers do not have access to money or financing to engage in renewable technologies, including photovoltaic distributed generation, that would be both financially efficient and, moreover, generate a lot fewer carbon dioxide emissions compared to direct combustion. Money constraints (lack of state funding support and commercial lending options) have been identified as major barriers to the adoption of renewable household installations in Vietnam (<xref ref-type="bibr" rid="B61">Lustig et al., 2011</xref>). Such stories demonstrate how the supply of cheap economic commodities may help encourage the deployment of reducing emissions and the acceptance of ecologically friendly solutions that cut emissions of carbon dioxide by consuming fewer energy sources. The inverse connection exists among the domestic financial economies as well. There is a significant correlation between domestic and company profitability and the present period of the economic downturn, which may be seen in fundamental budgetary constraints, productivity, and the banking sector&#x2019;s structural rigidity. average annual increase and the asset values of debtors are enhanced while the business is in a period of rapid recession, improving the dependability of market mechanisms (<xref ref-type="bibr" rid="B14">Bruno and Shin 2017</xref>; <xref ref-type="bibr" rid="B15">Call et al., 2021</xref>). Receding economies, on the other hand, result in reduced earnings and dependability. Higher than the market value, money transmitters&#x2019; extra costs and percentage earnings include some consistently growing ingredients. It can be deduced that the solvency position and checking account placement of the financial intermediation are intrinsically correlated to mortgage holder financial health and therefore react appropriately to investor sentiment that is volatile and affected by economic transitions between various stages of market cycles (<xref ref-type="bibr" rid="B69">McBrady and Schill 2007</xref>; <xref ref-type="bibr" rid="B25">Cook et al., 2008</xref>).</p>
<p>In the 1960s and 1970s, researchers started looking for a connection connecting ecological strategy and organisational financial planning. As a result, there are now primarily two research directions. Effectiveness and efficiency have been shown to have a beneficial impact, and this stream emphasises the significance of creating shared benefit for all stakeholders. According (<xref ref-type="bibr" rid="B16">Colin et al., 2008</xref>; <xref ref-type="bibr" rid="B43">Hoberg and Moon 2017</xref>), green marketing and CFP have a beneficial relationship, especially in the face of increasing cultural and practical constraints. As of late, green marketing and CFP have been affected by environmental entrepreneurship, according to a study by S&#xe1;nchez-Medina et al. Considering ecological trends as part of the organisational context is essential for achieving synergy. According to numerous studies, environmental development and CFP go hand in hand (<xref ref-type="bibr" rid="B5">Altman 1968</xref>; <xref ref-type="bibr" rid="B3">Allayannis et al., 2001</xref>; <xref ref-type="bibr" rid="B10">Bharath and Tyler, 2008</xref>). It is true that environmentally friendly innovations like garbage management and improved system performance help to improve CFP while at the same time reducing expenses. According to the research (<xref ref-type="bibr" rid="B23">Cheng et al., 2020</xref>; <xref ref-type="bibr" rid="B52">Li et al., 2021</xref>).</p>
<p>Affordability promotes operations and economic pollution, which then in turn generates emissions of carbon dioxide, which in turn can enhance the threat of climate change (<xref ref-type="bibr" rid="B22">Cheng et al., 2019</xref>; <xref ref-type="bibr" rid="B55">Liu et al., 2021</xref>). Economic development also allows customers to purchase luxury products like cars, microwaves, and exhausts whose usage is environmentally hazardous due to the increased emission of GHGs (<xref ref-type="bibr" rid="B62">Ma et al., 2013</xref>; <xref ref-type="bibr" rid="B100">Wu and Zhao 2018</xref>; <xref ref-type="bibr" rid="B40">He, 2019</xref>). Accessible banking markets encourage financial development and, as a result, stimulate domestic use of damaging renewable resources, which increases greenhouse gas emissions (<xref ref-type="bibr" rid="B50">Lea, 2017</xref>; <xref ref-type="bibr" rid="B45">Jiang et al., 2019</xref>; <xref ref-type="bibr" rid="B102">Yang et al., 2020</xref>). It is difficult to control carbon dioxide emissions because of the variations in government legislation, geography, and a host of other variables, and the presence of different economic obstacles. Co2 emissions (CO2) are the most important major cause of global warming, accounting for 80% of all GHGs (<xref ref-type="bibr" rid="B53">Li et al., 2020</xref>; <xref ref-type="bibr" rid="B110">Zhu et al., 2020</xref>). These pollutants increased rapidly from 1980 to 2015, per person. Emissions of carbon dioxide rose from 4.0452 metric tonnes in 1980 to 5.7865 metric tonnes in 2015. Carbon dioxide emissions increased by 1.5 percent during this time period (<xref ref-type="bibr" rid="B92">Song and Shi 2018</xref>; <xref ref-type="bibr" rid="B93">Song et al., 2019</xref>). EU emissions in 1970 were 7.0896 metric tonnes per person, and they decreased to 5.6895 metric tonnes per person in 2017 as relative to the overall globe. Above, one of the sentient Greenhouse gases are attributable to fossil fuel-based power production, which is causing an increase in global warming as a result of carbon dioxide concentrations steadily rising (<xref ref-type="bibr" rid="B60">Luo et al., 2019</xref>; <xref ref-type="bibr" rid="B41">Heidari et al., 2019</xref>). As a result, the world faces grave repercussions, including the potential reversal of centuries of stability and prosperity. Without drastic measures to reduce contamination, the public believes the earth is doomed to ecological catastrophe (<xref ref-type="bibr" rid="B60">Luo et al., 2019</xref>).</p>
<p>According to the findings of this research, economic developement has a significant effect on climate change. Several more research findings have shown the impact of economic developement on emissions of carbon dioxide (for example, in advanced economies (<xref ref-type="bibr" rid="B99">Wang and Xia, 2019</xref>), in Italy, in France, in Spain, in Germany, and in the United Kingdom). This research investigates Since economic developement and global warming are both important issues in Europe, the area was selected as the focus of our research project. The question, however, is whether providing adequate banking institutions to all people, especially those in the most disadvantaged sectors of society, helps to reduce greenhouse gas emissions in the area in particular.</p>
<p>The remainder of this research is structured as follows. <xref ref-type="sec" rid="s2">Section 2</xref> explains the literature review. The baseline model, data, and methods are presented in <xref ref-type="sec" rid="s3">Section 3</xref>. The empirical findings are discussed in <xref ref-type="sec" rid="s4">Section 4</xref>. The research comes to a close in <xref ref-type="sec" rid="s5">Section 5</xref>.</p>
</sec>
<sec id="s2">
<title>2. Literature Review</title>
<p>The means it provides in both the advanced and developing worlds may help to mitigate ecological damage by shifting away from carbon-intensive renewable resources and toward communications and related industries (<xref ref-type="bibr" rid="B106">Zhang et al., 2020</xref>). Energy efficiency has been greatly decreased in industrialised nations as a result of technical development, sustainable development, and strategies relating to the implementation of legislative requirements, all of which have contributed to a reduction in greenhouse gas emissions (<xref ref-type="bibr" rid="B67">Mategaonkar and Eldho 2012</xref>). Furthermore, in emerging economies, transportation, food security, industry, and the financial services industry are the primary sources of increased carbon dioxide emissions (<xref ref-type="bibr" rid="B41">Heidari et al., 2019</xref>). As a result, emerging nations serve as havens for fuel businesses and a heavy reliance on alternative sources of energy that cause environmental problems in the end (<xref ref-type="bibr" rid="B88">Sihwail et al., 2020</xref>). releasing environmentally harmful and temperature-polluting pollutants. The rationale for this is that many rising and developing nations, particularly the poorer ones, face an urgent desire to actually increase their economic development at any cost, including the degradation of ecological sustainability. Per capita emissions, on the other hand, tend to be high in industrialised nations, but the pace of emissions increases is indeed substantial in certain less advanced economies. They have also generated more than 75% of global carbon dioxide emissions, most frequently in 2018 (<xref ref-type="bibr" rid="B103">Yang et al., 2013</xref>). The goal was to address problems such as uncontrolled resources and environmental deterioration, including other concerns. A renewable energy industry, according to the UNEP, is &#x201c;one which improves human well-being and economic justice while substantially decreasing risks to the environment and ecosystem resource shortages.&#x201d; A framework for new communications an understanding of the promotion of macroeconomic stability was established after the 2008 recession, which has led to the mainstreaming of the green economy into socioeconomic discussions (<xref ref-type="bibr" rid="B65">Majumder and Eldho 2020</xref>; <xref ref-type="bibr" rid="B21">Chen et al., 2020</xref>; <xref ref-type="bibr" rid="B7">Asad, Khan, and Krol 2021</xref>). The idea is referred to as a low economic structure, which seeks to reduce emissions of greenhouse gases while reducing energy usage and productivity (<xref ref-type="bibr" rid="B44">Huang and Mayer 1997</xref>; <xref ref-type="bibr" rid="B78">Philippe et al., 2021</xref>). the world&#x2019;s significant policy initiatives (<xref ref-type="bibr" rid="B103">Yang et al., 2013</xref>; <xref ref-type="bibr" rid="B106">Zhang et al., 2020</xref>). Notwithstanding all of these measures, carbon emissions continue to rise, and what is even more concerning is that studies suggest they have not even reached their high yet (<xref ref-type="bibr" rid="B59">Luo et al., 2014</xref>; <xref ref-type="bibr" rid="B79">Piscopo et al., 2015</xref>). Earlier research attempts have shown this to be difficult, and three possible explanations have been offered. When it comes to carbon-based energy supplies and greenhouse gas emissions, most research has focused on accumulated implications (coal and oil) rather than based on demographic effects like charcoal, gasoline, and other energy sources. Furthermore, research on the increases in energy has tended to emphasise the consequences of utilisation rather than processing. What a shock, given the data showing that economic growth is linked to energy resource generation as well as consumption, particularly during the introduction stage! (<xref ref-type="bibr" rid="B86">Seyedpour et al., 2019</xref>). Furthermore, assessing the adverse hazards of energy supplies solely from a consumer&#x2019;s perspective without considering development would almost certainly lead to a misunderstanding of management among researchers. Third, financial liberalisation should have a more uniform effect on global sustainability (i.e., a substitute for business as a percentage of gross domestic product) before taking the diverse effects into account (i.e., imports and exports) (<xref ref-type="bibr" rid="B99">Wang and Xie 2019</xref>; <xref ref-type="bibr" rid="B84">Scardapane et al., 2015</xref>). Ecological and sustainability concerns and possibilities are already being incorporated into financial organisations&#x2019; business strategies. The Green Banking Network and the United Nations environmental Direct Involvement are two similar organisations. Diverse elements of sustainable and eco-friendly financing must be addressed in the global arena. Because of the corporate sector&#x2019;s participation in the battle against contamination, these initiatives succeed. Building a green economy relies heavily on foreign international banking institutions (<xref ref-type="bibr" rid="B75">Opitz et al., 2016</xref>). Leaders from all sectors, governmental and commercial, have begun to place a higher value on conservation in recent decades. And so now, banks are beginning to place a higher value on sustainability. Business executives are contemplating ways to move the world&#x2019;s trade towards more environmentally friendly practises while also recognising the firm&#x2019;s effect on society, particularly in light of recent technological advancements like artificial intelligence (AI) and robotics (<xref ref-type="bibr" rid="B89">Sirota et al., 2008</xref>).</p>
<p>We built an econometric technique of equilibrium was reached with various economic and social tensions sources when studying the equilibria impact of various budget restrictions and their effects on gross domestic product, total factor productivity, and economic development (<xref ref-type="bibr" rid="B8">Asher et al., 2015</xref>). There are two important ramifications to using our approach. To begin, policy tools should aim at even the most limiting restriction, which itself is likely to vary from country to country. By presuming that almost all nations have the same kind of restriction, we may be predicting the market&#x2019;s reaction in the wrong way (<xref ref-type="bibr" rid="B31">Gao et al., 2021</xref>). Loosening security requirements, for example, may increase employment in one country but not in another where economic developement is hampered by high lending rates. Finally, financial inclusion, gross domestic product, and wage levels all have costs and benefits. Furthermore, short-term transitory impacts may vary from long-term set point results (<xref ref-type="bibr" rid="B90">Sitnikova et al., 2008</xref>; <xref ref-type="bibr" rid="B68">Mazaheri et al., 2018</xref>). That could take a decade. 1stWide income disparity may result from initiatives that boost gross domestic product, but the magnitude of imports and exports can fluctuate. We offer authorities with a comprehensive strategy so that they will be aware of the challenges they will encounter in the future and may plan accordingly, if necessary, or select another course of action if necessary.</p>
</sec>
<sec id="s3">
<title>3. Data and Methodology</title>
<p>According to the findings of this research, decreasing GHGs is an important part of the effort to halt global warming in Europe. Beginning with &#x201c;STIRPAT&#x201d; framework, we use the conceptual and methodological approach.<disp-formula id="e1">
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<label>(1)</label>
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<p>Affluence (A) and technological advancement (T) have an impact on the environment, but population (P) and affluence are the two that have the most ecological footprint at any given moment. P, A, and T all have elasticity coefficients of 1&#x2013;3, which correspond to the elasticity of environmental impacts (as measured by global greenhouse gas emissions). To logarithmically represent the data in framework 1, do the following:<disp-formula id="e2">
<mml:math id="m2">
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<label>(2)</label>
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</p>
<p>Beyond financial services, this research expands on <xref ref-type="disp-formula" rid="e2">Eq. 2</xref> by looking at a variety of extra dependent variables, most of which have been recognised by the available research as having an impact on greenhouse gases, particularly regarding urbanisation (<xref ref-type="bibr" rid="B57">Lovell et al., 2012</xref>), structural transformation (<xref ref-type="bibr" rid="B104">Ye et al., 2021</xref>), real exchange rate (<xref ref-type="bibr" rid="B95">Terzano et al., 2001</xref>; <xref ref-type="bibr" rid="B13">Bollt 2021</xref>), and economic growth (<xref ref-type="bibr" rid="B42">Hening 2004</xref>; <xref ref-type="bibr" rid="B77">Parrino et al., 2006</xref>; <xref ref-type="bibr" rid="B28">Faes et al., 2012</xref>). According to the average approach in <xref ref-type="disp-formula" rid="e2">Eq. 2</xref>, this research calculates per capita costs by dividing the supply and demand variables by the larger community. All factors except financial development inclusion are expressed as logarithms. 1stAs a result, the preceding is the survey&#x2019;s foundational approach.<disp-formula id="e3">
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<label>(3)</label>
</disp-formula>
</p>
<p>Numerous financial formulations examine the link involving Emissions of carbon dioxide and Gross domestic product. In light of this, we went with a log-linear description to see how growth of the economy and other key factors affect emission of carbon dioxide. As a result, the log-linear mathematical expression is preferred over the generalised linear because aberrations are less important in influencing the calculated parameters. The preceding is the shape that our fundamental model presupposes:<disp-formula id="e4">
<mml:math id="m4">
<mml:mrow>
<mml:mi>l</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>C</mml:mi>
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<mml:msub>
<mml:mn>2</mml:mn>
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<mml:mo>&#x3d;</mml:mo>
<mml:msub>
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<mml:mo>&#x2b;</mml:mo>
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<mml:mn>1</mml:mn>
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<mml:mi>l</mml:mi>
<mml:mi>n</mml:mi>
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<mml:mn>2</mml:mn>
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<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
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<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mi>&#x3b1;</mml:mi>
<mml:mn>2</mml:mn>
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<mml:mo>&#x2b;</mml:mo>
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<mml:mo>&#x2b;</mml:mo>
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<label>(4)</label>
</disp-formula>
<disp-formula id="e5">
<mml:math id="m5">
<mml:mrow>
<mml:mi>C</mml:mi>
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<mml:mn>2</mml:mn>
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<mml:mo>,</mml:mo>
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<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
<label>(5)</label>
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</p>
<p>In addition, we approach prior research (<xref ref-type="bibr" rid="B46">Kato et al., 2003</xref>; <xref ref-type="bibr" rid="B28">Faes et al., 2012</xref>; <xref ref-type="bibr" rid="B56">Lobier et al., 2014</xref>) and incorporate the income square factor according to the above formula in order to determine the applicability of the Environmental Kuznets curve in the present research. The final model looks like this:<disp-formula id="e6">
<mml:math id="m6">
<mml:mrow>
<mml:mi>l</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>C</mml:mi>
<mml:mi>O</mml:mi>
<mml:msub>
<mml:mn>2</mml:mn>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
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<mml:mi>n</mml:mi>
<mml:mi>C</mml:mi>
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<mml:mn>2</mml:mn>
<mml:mrow>
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<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
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<mml:mo>&#x2b;</mml:mo>
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<mml:mn>3</mml:mn>
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<mml:mi>G</mml:mi>
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<mml:mn>2</mml:mn>
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<mml:mo>&#x2b;</mml:mo>
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<mml:mn>4</mml:mn>
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<mml:mi>F</mml:mi>
<mml:mi>I</mml:mi>
<mml:msub>
<mml:mi>N</mml:mi>
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</mml:msub>
<mml:mo>&#x2b;</mml:mo>
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<mml:mn>5</mml:mn>
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<mml:mi>T</mml:mi>
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<mml:mo>&#x2b;</mml:mo>
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<mml:mi>&#x3b2;</mml:mi>
<mml:mn>6</mml:mn>
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<mml:mi>F</mml:mi>
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<mml:mo>&#x2b;</mml:mo>
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<mml:mn>7</mml:mn>
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<mml:mi>S</mml:mi>
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</mml:msub>
<mml:mo>&#x2b;</mml:mo>
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<mml:mi>&#x3b2;</mml:mi>
<mml:mn>8</mml:mn>
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<mml:mi>P</mml:mi>
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<mml:mo>&#x2b;</mml:mo>
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</mml:mrow>
</mml:math>
<label>(6)</label>
</disp-formula>
</p>
<p>As a preliminary step, we assert that capital accumulation may be a determining element in the earnings relationship. The exponential relationship factor of bank profitability per disposable income is included in <xref ref-type="disp-formula" rid="e6">Eq. 6</xref> to represent this impact explanatory variable. As a consequence, we get the following equation:<disp-formula id="e7">
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</p>
<p>In the research on ecological protection, financial development is considered to have an effect on global sustainability, primarily affecting key growth drivers including foreign direct investment (FDI) and the relationship between economic growth and the accompanying analysis method may be used to examine the moderating impact of trade liberalisation access on direct investment:<disp-formula id="e8">
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</disp-formula>
</p>
<p>We also use the linear formulas to evaluate the mitigating impacts of foreign direct bank profitability, see (<xref ref-type="bibr" rid="B1">Ahmed et al., 2011</xref>):<disp-formula id="e9">
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<label>(9)</label>
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</p>
<p>Financing is a significant intervention that may be required in this study. We create a Economic developement Indicator that takes five different facets of economic developement into account while constructing this statistic. The information comes from the Global Financial Performance Statistics of the World Economic Forum. Our sampling procedures span the years 2006&#x2013;2018, according to information available. There are 21 nations in all. A list of descriptive analysis and inferential sources may be found in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Variable&#x2019;s definition, data sources and statistical descriptions (21 countries) 2006&#x2013;2018.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="center">Description</th>
<th align="center">Source</th>
<th align="center">Obs</th>
<th align="center">Mean</th>
<th align="center">Std. Dev.</th>
<th align="center">Min</th>
<th align="center">Max</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">INC</td>
<td align="left">GDP per capita (constant 2010 US$)</td>
<td align="left">WDI</td>
<td align="char" char=".">296</td>
<td align="char" char=".">19650.84</td>
<td align="char" char=".">21,209.62</td>
<td align="char" char=".">421.983</td>
<td align="char" char=".">81276.09</td>
</tr>
<tr>
<td align="left">POPG</td>
<td align="left">Population growth (annual%)</td>
<td align="left">WDI</td>
<td align="char" char=".">296</td>
<td align="char" char=".">3.84650</td>
<td align="char" char=".">3.87023</td>
<td align="char" char=".">&#x2212;0.19342</td>
<td align="char" char=".">21.38422</td>
</tr>
<tr>
<td align="left">URB</td>
<td align="left">Urban population (% of total population)</td>
<td align="left">WDI</td>
<td align="char" char=".">296</td>
<td align="char" char=".">61.20376</td>
<td align="char" char=".">32.70942</td>
<td align="char" char=".">21.40921</td>
<td align="char" char=".">101.9837</td>
</tr>
<tr>
<td align="left">ENE</td>
<td align="left">Energy intensity level of primary energy (MJ/$2011 PPP GDP)</td>
<td align="left">WDI</td>
<td align="char" char=".">296</td>
<td align="char" char=".">6.09231</td>
<td align="char" char=".">4.710923</td>
<td align="char" char=".">0.23982</td>
<td align="char" char=".">21.78327</td>
</tr>
<tr>
<td align="left">IND</td>
<td align="left">Industry (including construction), value added (% of GDP)</td>
<td align="left">WDI</td>
<td align="char" char=".">267</td>
<td align="char" char=".">39.30912</td>
<td align="char" char=".">19.38730</td>
<td align="char" char=".">4.78216</td>
<td align="char" char=".">81.34213</td>
</tr>
<tr>
<td align="left">TRADE</td>
<td align="left">Trade (% of GDP)</td>
<td align="left">WDI</td>
<td align="char" char=".">289</td>
<td align="char" char=".">111.3409</td>
<td align="char" char=".">71.62091</td>
<td align="char" char=".">19.7823</td>
<td align="char" char=".">501.6734</td>
</tr>
<tr>
<td align="left">FDI</td>
<td align="left">Foreign direct investment, net inflows (% of GDP)</td>
<td align="left">WDI</td>
<td align="char" char=".">289</td>
<td align="char" char=".">6.89342</td>
<td align="char" char=".">8.88467</td>
<td align="char" char=".">&#x2212;5.78342</td>
<td align="char" char=".">49.87212</td>
</tr>
<tr>
<td align="left">CO2</td>
<td align="left">CO2 emissions (metric tons per capita)</td>
<td align="left">WDI</td>
<td align="char" char=".">289</td>
<td align="char" char=".">9.30921</td>
<td align="char" char=".">9.59043</td>
<td align="char" char=".">0.78543</td>
<td align="char" char=".">68.87905</td>
</tr>
<tr>
<td align="left">FI1</td>
<td align="left">Automated Teller Machines (ATMs) per 100,000 adults</td>
<td align="left">GFDD</td>
<td align="char" char=".">254</td>
<td align="char" char=".">51.37274</td>
<td align="char" char=".">61.02358</td>
<td align="char" char=".">2.78340</td>
<td align="char" char=".">301.5478</td>
</tr>
<tr>
<td align="left">FI2</td>
<td align="left">Branches of commercial banks per 100,000 adults</td>
<td align="left">GFDD</td>
<td align="char" char=".">243</td>
<td align="char" char=".">19.34298</td>
<td align="char" char=".">8.67594</td>
<td align="char" char=".">1.43294</td>
<td align="char" char=".">59.78390</td>
</tr>
<tr>
<td align="left">FI3</td>
<td align="left">Institutions of commercial banks</td>
<td align="left">GFDD</td>
<td align="char" char=".">287</td>
<td align="char" char=".">49.27142</td>
<td align="char" char=".">39.5902</td>
<td align="char" char=".">4.90211</td>
<td align="char" char=".">302.4893</td>
</tr>
<tr>
<td align="left">FI4</td>
<td align="left">Outstanding deposits with commercial banks (% of GDP)</td>
<td align="left">GFDD</td>
<td align="char" char=".">267</td>
<td align="char" char=".">59.32415</td>
<td align="char" char=".">51.63097</td>
<td align="char" char=".">4.78032</td>
<td align="char" char=".">249.5537</td>
</tr>
<tr>
<td align="left">FI5</td>
<td align="left">Outstanding loans with commercial banks (% of GDP)</td>
<td align="left">GFDD</td>
<td align="char" char=".">221</td>
<td align="char" char=".">39.43209</td>
<td align="char" char=".">29.62894</td>
<td align="char" char=".">2.689102</td>
<td align="char" char=".">189.2356</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec sec-type="results|discussion" id="s4">
<title>4. Results and Discussion</title>
<sec id="s4-1">
<title>4.1 Estimation Analysis</title>
<p>Factors of economic growth are presented in a multitude of separate categories and measures in <xref ref-type="table" rid="T1">Table.1</xref>. Additionally, the variation of certain factors is large, whereas the variability of others is minimal. Although they may be combined to create a price measure, those signals must be transformed into normalised quantities (D. <xref ref-type="bibr" rid="B51">Li et al., 2010</xref>). The normalised parameters are then subjected to PCA. We use various normalising approaches, such as z-score, maximal, and non-linear activation procedures, to compare and evaluate the robustness of our economic development factor. As a result, we have several approximations for it.</p>
<p>Earlier, the Wooldridge (2002) test and the Revised Wald test were used to evaluate two distinct assertions about the regression model, namely with the test of normality. At the 1% range, the findings in <xref ref-type="table" rid="T3">Table 3</xref> show cointegration and collinearity. <xref ref-type="table" rid="T3">Table 3</xref> also shows cross-sectional dependency with a co integration definition, as the findings show.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Summary statistics.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="center">Mean</th>
<th align="center">Standard deviation</th>
<th align="center">Minimum</th>
<th align="center">Maximum</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">CO<sub>2</sub>
</td>
<td align="char" char=".">0.710</td>
<td align="char" char=".">2.673</td>
<td align="char" char=".">&#x2212;3.647</td>
<td align="char" char=".">3.094</td>
</tr>
<tr>
<td align="left">GDP</td>
<td align="char" char=".">6.3987</td>
<td align="char" char=".">1.323</td>
<td align="char" char=".">3.563</td>
<td align="char" char=".">9.654</td>
</tr>
<tr>
<td align="left">POP</td>
<td align="char" char=".">21.091</td>
<td align="char" char=".">1.209</td>
<td align="char" char=".">9.476</td>
<td align="char" char=".">19.543</td>
</tr>
<tr>
<td align="left">TD</td>
<td align="char" char=".">5.3921</td>
<td align="char" char=".">1.784</td>
<td align="char" char=".">1.894</td>
<td align="char" char=".">7.092</td>
</tr>
<tr>
<td align="left">HC</td>
<td align="char" char=".">2.6789</td>
<td align="char" char=".">0.462</td>
<td align="char" char=".">0.218</td>
<td align="char" char=".">3.532</td>
</tr>
<tr>
<td align="left">FDI</td>
<td align="char" char=".">0.2212</td>
<td align="char" char=".">1.302</td>
<td align="char" char=".">&#x2212;3.747</td>
<td align="char" char=".">7.375</td>
</tr>
<tr>
<td align="left">FSDGDP</td>
<td align="char" char=".">4.6703</td>
<td align="char" char=".">0.983</td>
<td align="char" char=".">0.642</td>
<td align="char" char=".">6.453</td>
</tr>
<tr>
<td align="left">DCFS</td>
<td align="char" char=".">4.6793</td>
<td align="char" char=".">2.794</td>
<td align="char" char=".">&#x2212;2.867</td>
<td align="char" char=".">6.382</td>
</tr>
<tr>
<td align="left">DCPS</td>
<td align="char" char=".">4.7822</td>
<td align="char" char=".">0.675</td>
<td align="char" char=".">&#x2212;0.321</td>
<td align="char" char=".">6.091</td>
</tr>
<tr>
<td align="left">TDGDP</td>
<td align="char" char=".">2.7932</td>
<td align="char" char=".">0.609</td>
<td align="char" char=".">&#x2212;0.747</td>
<td align="char" char=".">8.242</td>
</tr>
<tr>
<td align="left">M3GDP</td>
<td align="char" char=".">4.0931</td>
<td align="char" char=".">0.78</td>
<td align="char" char=".">2.674</td>
<td align="char" char=".">6.209</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Results of diagnostic tests for heteroscedasticity and serial correlation.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Test</th>
<th rowspan="2" align="center">Error process</th>
<th colspan="3" align="center">Test statistic</th>
</tr>
<tr>
<th align="center">FI_Z</th>
<th align="center">FI_MMX</th>
<th align="center">FI_SOFTMAX</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Modified Wald (&#x3c7;<sup>2</sup>)</td>
<td align="left">Heteroscedasticity</td>
<td align="char" char=".">11,356.53&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">19,203.34&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">14,821.73&#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left">Wooldridge Test (<italic>F</italic>-test)</td>
<td align="left">Serial correlation</td>
<td align="char" char=".">19.28&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">19.783&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">19.347&#x2a;&#x2a;&#x2a;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>&#x002A;&#x002A;&#x002A; meaning significant at 1% level.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The research evaluates the designs using the error correction framework suggested by (<xref ref-type="bibr" rid="B82">Salinas et al., 2014</xref>). (SCC). We used that programme because the (<xref ref-type="bibr" rid="B36">Griffis and Stedinger 2007</xref>) measurement deviations produced by (<xref ref-type="bibr" rid="B72">Neves et al., 2016</xref>) are both autoregressive conditional reliable and resistant to extremely broad types of multi and longitudinal relying concepts (<xref ref-type="bibr" rid="B63">Magnus and Vasnev 2015</xref>). This research used imbalanced boards, thus the xtscc software was able to function effectively using these too. It is capable of dealing with numbers that are not present (<xref ref-type="bibr" rid="B74">Noor et al., 2010</xref>). Lower overall for correlations using the pooled Generalized Least Dividers Method. For reference and thoroughness (<xref ref-type="bibr" rid="B35">Grantham and Ungar 1990</xref>), computed instrumental variables (inside) and consolidated regression multiple regression analysis are computed by (<xref ref-type="bibr" rid="B87">Shen et al., 2020</xref>) for reference and thoroughness. Banking supplies must be geared toward the requirements of corporates in an attempt to develop commercial potential and attain community fellowship in order to accommodate citizens into economic institutions. As a result, according to (<xref ref-type="bibr" rid="B58">Lundby et al., 2021</xref>), financial instruments like credit and savings lead to more high satisfaction and help everyone&#x2019;s macroeconomic circumstances throughout the globe. Constraints such as adverse selection, affordability, costs and benefits of the banking system, terrible financial literacy, distrust of the banking industry and peers must always be recognised and addressed in order to provide maximum progress in economic advancement (<xref ref-type="bibr" rid="B39">Hao et al., 2021</xref>; <xref ref-type="bibr" rid="B26">Cozad et al., 2015</xref>). Most research has not emphasised identifying strengths and limitations of increasing the potential for economic growth within the sector&#x2019;s significant development. Financial intermediary inclusion has been discussed, but the underlying causes of disparity and community cohesion in digital finance advancements have yet to be fully investigated (<xref ref-type="bibr" rid="B17">Chai et al., 2017</xref>; <xref ref-type="bibr" rid="B85">Scutari et al., 2019</xref>). Furthermore, other research has looked at the effect of European digital and mobile banking services.</p>
<p>There are many examples of how digital payments and m-banking (<xref ref-type="bibr" rid="B83">Sammaknejad et al., 2019</xref>) have created a business development phenomenon and how they want to penetrate the market, such as (<xref ref-type="bibr" rid="B32">Gao and Shardt 2021</xref>). Based on the state&#x2019;s strategy, a recent research (<xref ref-type="bibr" rid="B64">Mahjoub et al., 2012</xref>) concluded that the concept of inclusive growth is conspicuously absent from official digital initiatives and policies. Wealth management and the main types of communication in the rural environment have yet to be tested, so it is unclear as to whether they promote financial inclusion. We made sure to account for a wide range of variables that might influence financial inclusion. The logarithm of income per capita was added since a greater income makes it easier to obtain financial services, lowers the barriers to doing so, and increases demand for such services (<xref ref-type="bibr" rid="B48">Khatibisepehr and Huang 2008</xref>). Controlling for the increase in the population, we hypothesised that rising populations lead to an increased segment of the population load, which limits the accessibility of financial institutions to the unbanked and underbanked (<xref ref-type="bibr" rid="B94">Perotto and Filipo, 2021</xref>). It is necessary to incorporate the institution cost to revenue (in percent) in order to manage the expense of capital structure, since the research has shown that institution expenses are a factor in economic developement (<xref ref-type="bibr" rid="B73">Nodelman et al., 2005</xref>). With the help of (<xref ref-type="bibr" rid="B105">Zhang et al., 2013</xref>), we incorporated a social development scale and predicted that a greater degree of awareness would lead to more economic developement since it would reflect a nation&#x2019;s better success in these areas. In accordance with previous research, we also implemented capital controls as a fictitious limitation on financing (<xref ref-type="bibr" rid="B81">Ratnaweera et al., 2004</xref>).</p>
</sec>
<sec id="s4-2">
<title>4.2 Regression Analysis</title>
<p>Hoechle (2007)&#x2019;s method yielded the estimated findings, which are shown in <xref ref-type="table" rid="T4">Table 4</xref>. Improvements in the other potential determinants, particularly earnings, resource utilization, urbanisation, and financial inclusion, lead to greater levels of carbon emissions in Europe, regardless of export growth. The findings demonstrate this.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Pearson (2004) CD test.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="center">CD-test statistic</th>
<th align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">INC</td>
<td align="char" char=".">29.564<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">0.000</td>
</tr>
<tr>
<td align="left">URB</td>
<td align="char" char=".">39.540<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">0.000</td>
</tr>
<tr>
<td align="left">ENE</td>
<td align="char" char=".">8.674<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">0.000</td>
</tr>
<tr>
<td align="left">IND</td>
<td align="char" char=".">7.654<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">0.000</td>
</tr>
<tr>
<td align="left">TRADE</td>
<td align="char" char=".">5.904&#x2a;&#x2a;</td>
<td align="char" char=".">0.007</td>
</tr>
<tr>
<td align="left">FDI</td>
<td align="char" char=".">5.321<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">0.000</td>
</tr>
<tr>
<td align="left">CO2</td>
<td align="char" char=".">10.590<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">0.000</td>
</tr>
<tr>
<td align="left">FI_Z</td>
<td align="char" char=".">29.298<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">0.000</td>
</tr>
<tr>
<td align="left">FI_MMX</td>
<td align="char" char=".">21.589<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">0.000</td>
</tr>
<tr>
<td align="left">FI_SOFTMAX</td>
<td align="char" char=".">29.690<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">0.000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>a</label>
<p>This shows that the null hypothesis has been rejected at a 1% level of statistical significance. To calculate the aggregate micro finance score, PCA was used to standardize profitability ratios using the z-score, min-max, and soft - max methods, correspondingly. Authors&#x2019; computations are the source of this information.</p>
</fn>
<fn>
<p>&#x002A;&#x002A; meaning significant at 5% level.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The outcomes are shown in <xref ref-type="table" rid="T5">Tables 5a</xref>, <xref ref-type="table" rid="T5b">5b</xref>. These show what the economic developement index, financial outreach, and use look like when just monetary policy is taken into account as a linear regression. show what devaluation and operating expenses look like when they&#x2019;re both under control at the same time. As additional regression models, rising prices, operational costs, and capital adequacy accumulation are shown in columns 7&#x2013;9. The conclusion&#x2014;that the availability of international banks lowers economic developement but its connection with banking sector development increases financial inclusion&#x2014;is strong in all scenarios. Our data shows that adjusting for additional regressors has no effect on our statistics. There is a significant impact on pollutants from rising incomes, which suggests that as nations in Europe grow, greenhouse gases will increase. According to (<xref ref-type="bibr" rid="B9">Bartlett and Cussens 2017</xref>), growth in the economy does not presuppose ecological sustainability, which seeks to enhance the ecological integrity in the area. This result supports their findings. The adoption of appropriate technology seems to be neglected in Europe&#x2019;s product development (<xref ref-type="bibr" rid="B47">Khanteymoori et al., 2018</xref>).</p>
<table-wrap id="T5" position="float">
<label>TABLE 5A</label>
<caption>
<p>Estimation analysis.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Dept variable: CO2</th>
<th colspan="3" align="center">Pooled OLS/WLS regression</th>
<th colspan="3" align="center">Fixed effects (within) regression</th>
<th colspan="3" align="center">GLS random effects regression</th>
</tr>
<tr>
<th align="center">(1)</th>
<th align="center">(2)</th>
<th align="center">(3)</th>
<th align="center">(4)</th>
<th align="center">(5)</th>
<th align="center">(6)</th>
<th align="center">(7)</th>
<th align="center">(8)</th>
<th align="center">(9)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" align="left">INC</td>
<td align="char" char=".">0.721&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.711&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.643&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">2.781&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">2.873&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">1.421&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.834&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.892&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.892&#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="char" char=".">(0.021)</td>
<td align="char" char=".">(0.011)</td>
<td align="char" char=".">(0.015)</td>
<td align="char" char=".">(0.081)</td>
<td align="char" char=".">(0.081)</td>
<td align="char" char=".">(0.081)</td>
<td align="char" char=".">(0.031)</td>
<td align="char" char=".">(0.027)</td>
<td align="char" char=".">(0.031)</td>
</tr>
<tr>
<td rowspan="2" align="left">ENE</td>
<td align="char" char=".">0.532&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.509&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.523&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">2.121&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">2.832&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">2.671&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">2.634&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">1.041&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">2.651&#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="char" char=".">(0.051)</td>
<td align="char" char=".">(0.062)</td>
<td align="char" char=".">(0.051)</td>
<td align="char" char=".">(0.038)</td>
<td align="char" char=".">(0.048)</td>
<td align="char" char=".">(0.039)</td>
<td align="char" char=".">(0.043)</td>
<td align="char" char=".">(0.061)</td>
<td align="char" char=".">(0.054)</td>
</tr>
<tr>
<td rowspan="2" align="left">URB</td>
<td align="char" char=".">0.702&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.821&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.701&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.541&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.552&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.487&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.411&#x2a;&#x2a;</td>
<td align="char" char=".">0.312&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.267&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="char" char=".">(0.019)</td>
<td align="char" char=".">(0.018)</td>
<td align="char" char=".">(0.018)</td>
<td align="char" char=".">(0.121)</td>
<td align="char" char=".">(0.111)</td>
<td align="char" char=".">(0.112)</td>
<td align="char" char=".">(0.219)</td>
<td align="char" char=".">(0.092)</td>
<td align="char" char=".">(0.112)</td>
</tr>
<tr>
<td rowspan="2" align="left">TRADE</td>
<td align="char" char=".">&#x2212;0.091&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">&#x2212;0.122&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">&#x2212;0.091&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">&#x2212;0.178&#x2a;&#x2a;</td>
<td align="char" char=".">&#x2212;0.102&#x2a;&#x2a;</td>
<td align="char" char=".">&#x2212;0.102&#x2a;&#x2a;</td>
<td align="char" char=".">&#x2212;0.321&#x2a;</td>
<td align="char" char=".">&#x2212;0.134&#x2a;</td>
<td align="char" char=".">&#x2212;0.141&#x2a;</td>
</tr>
<tr>
<td align="char" char=".">(0.031)</td>
<td align="char" char=".">(0.019)</td>
<td align="char" char=".">(0.018)</td>
<td align="char" char=".">(0.042)</td>
<td align="char" char=".">(0.036)</td>
<td align="char" char=".">(0.041)</td>
<td align="char" char=".">(0.071)</td>
<td align="char" char=".">(0.067)</td>
<td align="char" char=".">(0.058)</td>
</tr>
<tr>
<td rowspan="2" align="left">FDI</td>
<td align="char" char=".">0.018&#x2a;&#x2a;</td>
<td align="char" char=".">0.011&#x2a;&#x2a;</td>
<td align="char" char=".">0.011&#x2a;&#x2a;</td>
<td align="char" char=".">0.002</td>
<td align="char" char=".">0.003</td>
<td align="char" char=".">0.004</td>
<td align="char" char=".">0.003</td>
<td align="char" char=".">0.002</td>
<td align="char" char=".">0.001</td>
</tr>
<tr>
<td align="char" char=".">(0.004)</td>
<td align="char" char=".">(0.004)</td>
<td align="char" char=".">(0.003)</td>
<td align="char" char=".">(0.005)</td>
<td align="char" char=".">(0.001)</td>
<td align="char" char=".">(0.002)</td>
<td align="char" char=".">(0.003)</td>
<td align="char" char=".">(0.002)</td>
<td align="char" char=".">(0.002)</td>
</tr>
<tr>
<td rowspan="2" align="left">IND</td>
<td align="char" char=".">0.511&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.311&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.521&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.128&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.167&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.178&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.141&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.140&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">0.211&#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="char" char=".">(0.039)</td>
<td align="char" char=".">(0.034)</td>
<td align="char" char=".">(0.044)</td>
<td align="char" char=".">(0.049)</td>
<td align="char" char=".">(0.0213)</td>
<td align="char" char=".">(0.049)</td>
<td align="char" char=".">(0.038)</td>
<td align="char" char=".">(0.028)</td>
<td align="char" char=".">(0.042)</td>
</tr>
<tr>
<td rowspan="2" align="left">FI_Z</td>
<td align="char" char=".">0.059&#x2a;</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">0.011&#x2a;&#x2a;&#x2a;</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">0.039&#x2a;&#x2a;&#x2a;</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="char" char=".">(0.041)</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">(0.004)</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">(0.005)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">FI_MMX</td>
<td align="left"/>
<td align="char" char=".">0.411&#x2a;&#x2a;</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">0.078&#x2a;&#x2a;&#x2a;</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">0.219&#x2a;&#x2a;&#x2a;</td>
<td align="left"/>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">(0.321)</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">(0.021)</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">(0.028)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">FI_SOFTMAX</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">0.401&#x2a;</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">0.111&#x2a;&#x2a;&#x2a;</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">0.212&#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">(0.316)</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">(0.019)</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">(0.031)</td>
</tr>
<tr>
<td rowspan="2" align="left">CONST</td>
<td align="char" char=".">&#x2212;7.765&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">&#x2212;8.654&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">&#x2212;8.654&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">&#x2212;11.652&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">&#x2212;11.786&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">&#x2212;17.786&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">&#x2212;7.809&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">&#x2212;7.986&#x2a;&#x2a;&#x2a;</td>
<td align="char" char=".">&#x2212;8.654&#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="char" char=".">(0.087)</td>
<td align="char" char=".">(0.213)</td>
<td align="char" char=".">(0.287)</td>
<td align="char" char=".">(0.896)</td>
<td align="char" char=".">(0.876)</td>
<td align="char" char=".">(0.876)</td>
<td align="char" char=".">(0.543)</td>
<td align="char" char=".">(0.674)</td>
<td align="char" char=".">(0.543)</td>
</tr>
<tr>
<td align="left">Observations</td>
<td align="char" char=".">289</td>
<td align="char" char=".">289</td>
<td align="char" char=".">289</td>
<td align="char" char=".">289</td>
<td align="char" char=".">289</td>
<td align="char" char=".">289</td>
<td align="char" char=".">289</td>
<td align="char" char=".">289</td>
<td align="char" char=".">289</td>
</tr>
<tr>
<td align="left">Number of groups</td>
<td align="char" char=".">21</td>
<td align="char" char=".">21</td>
<td align="char" char=".">21</td>
<td align="char" char=".">21</td>
<td align="char" char=".">21</td>
<td align="char" char=".">21</td>
<td align="char" char=".">21</td>
<td align="char" char=".">21</td>
<td align="char" char=".">21</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>&#x002A; meaning significant at 10% level.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5b" position="float">
<label>TABLE 5B</label>
<caption>
<p>Robustness analysis.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="center">FOLS</th>
<th align="center">FMOLS</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">INC</td>
<td align="char" char=".">31.564<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">26.224<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">(0.000)</td>
<td align="char" char=".">(0.000)</td>
</tr>
<tr>
<td align="left">URB</td>
<td align="char" char=".">23.210<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">16.610<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">(0.001)</td>
<td align="char" char=".">(0.002)</td>
</tr>
<tr>
<td align="left">ENE</td>
<td align="char" char=".">0.374<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">0.236<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">(0.003)</td>
<td align="char" char=".">(0.002)</td>
</tr>
<tr>
<td align="left">IND</td>
<td align="char" char=".">2.643<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">2.231<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">(0.002)</td>
<td align="char" char=".">(0.001)</td>
</tr>
<tr>
<td align="left">TRADE</td>
<td align="char" char=".">2.973&#x2a;&#x2a;</td>
<td align="char" char=".">2.543&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">(0.006)</td>
<td align="char" char=".">(0.005)</td>
</tr>
<tr>
<td align="left">FDI</td>
<td align="char" char=".">2.321<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">2.654<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">(0.000)</td>
<td align="char" char=".">(0.000)</td>
</tr>
<tr>
<td align="left">CO2</td>
<td align="char" char=".">7.320<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">3.540<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">(0.000)</td>
<td align="char" char=".">(0.000)</td>
</tr>
<tr>
<td align="left">FI_Z</td>
<td align="char" char=".">11.298<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">6.432<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">(0.000)</td>
<td align="char" char=".">(0.000)</td>
</tr>
<tr>
<td align="left">FI_MMX</td>
<td align="char" char=".">21.589<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">13.543<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">(0.003)</td>
<td align="char" char=".">(0.003)</td>
</tr>
<tr>
<td align="left">FI_SOFTMAX</td>
<td align="char" char=".">12.320<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">4.210<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">(0.002)</td>
<td align="char" char=".">(0.003)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn2">
<label>a</label>
<p>This shows that the null hypothesis has been rejected at a 1% level of statistical significance. To calculate the aggregate micro finance score, PCA was used to standardize profitability ratios using the z-score, min-max, and soft&#x2014;max methods, correspondingly. Authors&#x2019; computations are the source of this information.</p>
</fn>
<fn>
<p>&#x002A;&#x002A; meaning significant at 5% level.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>EC, urbanisation, and industrialisation are all anticipated to have a beneficial impact on climate change, according to previous research (for instance. Local energy consumption now accounts for approximately 27% of export growth and is expected to increase even more in the coming years as a result of impressive industrial prosperity. As a result of the Asian upswing, increasing urbanisation, and industrialisation, there is an increase in production supply and consumption. There is an increase in the need for energy due to increasing economic development throughout Europe, especially in areas like manufacturing of products. By 2035, carbon emissions are estimated to increase for almost 75% of the increase in Europe&#x2019;s energy demands, raising CO2 emissions of carbon dioxide 60%. If FDI has a negative impact on carbon dioxide emissions, it is because foreign investors want to circumvent pollution laws in their native nations. Due to the FDI industry having a detrimental effect on Italy&#x2019;s long-term development, biodiversity will be severely harmed and the pace of growth will be less viable. There is some evidence to suggest that dirty businesses are moving from the industrialised nations to the poor world in order to get around more stringent standards, according to this study (<xref ref-type="bibr" rid="B37">Gu et al., 2019</xref>; <xref ref-type="bibr" rid="B70">Neri et al., 2020</xref>).</p>
<p>Opening Europe&#x2019;s economy to free trade has been shown to decrease emissions of carbon dioxide. Trade deals, in particular, may help countries better address sustainability issues (<xref ref-type="bibr" rid="B2">Alekseichuk et al., 2016</xref>; <xref ref-type="bibr" rid="B38">Hanslmayr et al., 2016</xref>). Ecological products and services may be made more widely available at lower costs by lowering or eliminating protectionist measures. The TPP deal, for example, is anticipated to help emerging economies move into relatively clean, less destructive sectors and transportation to minimal paths, thus helping actions to resolve global problems like global warming (<xref ref-type="bibr" rid="B6">Antal et al., 2017</xref>). Financial inclusion, one of our main variables, has been linked to increased emissions of carbon dioxide in Europe, according to our research. With better access to capital, residents in Europe could have bought too many things like cars and trucks, kitchen appliances, air conditioning units, and TV screens during the period under analysis. These products, with their prevalent usages, generate higher utilisation of coal and oil and lead to increased carbon dioxide emissions in the area. According to our findings, there have been no linkages between anthropogenic global warming policies and economic development efforts. Using various economic development indicators and other linear regression with Cleary and Haug confidence intervals, the findings are fundamentally stable.</p>
</sec>
<sec id="s4-3">
<title>4.3 Robustness Analysis</title>
<p>The interests of local governments range from regional interests to the interests of officials, while regional interests are mainly characterized by the improvement of the quality of green development. Since entering the new era, the leading social contradiction has transformed into the contradiction between people&#x2019;s growing need for a better life and unbalanced and inadequate development, and the best vehicle and optimal strategy to dissolve this contradiction is to strengthen social governance, of which green governance further strengthens the quality of development with a balance of ecological, economic, political, cultural and social construction. Research by relevant scholars has also highlighted the vital contribution of green governance to high-quality development. Doyle confirms the positive effect of green governance on green quality development based on policy analysis, emphasizing that green governance expands the green public sphere across political boundaries and lays the foundation for the green transformation of society.</p>
<p>From theory to reality, few studies have considered the impact of peer effects on green governance decisions and benefits when analysing the green governance activities of local governments. As a &#x201c;rational person,&#x201d; the local government is bound to be perturbed by the decisions of its group or even a side group. Therefore, in some areas where the environmental basis of green governance is similar and the incentive logic converge, there will inevitably be dependence and consistency in behavior and decision-making. In contrast, some areas with heterogeneous environments and incentive logic may be characterized by imitation and following, tending to cohere with more successful groups and have superior externalities such as green governance efficiency. In short, the characteristics of local governments, the environmental basis of green governance, and the incentive logic make green governance peer effects. However, whether this effect produces positive social influence or inhibits green social development and produces a depletion of governance resources needs to be further clarified from the motivation of green governance to control the direction of the peer effects of green governance.</p>
</sec>
</sec>
<sec id="s5">
<title>5. Conclusion and Policy Implications</title>
<p>According to the findings of this research, almost all of the variables examined (earnings, power consumption, urbanisation, industrial growth, foreign direct investment, and financial inclusion) contributed to increased carbon dioxide emissions in Europe between 2006 and 2018, while financial liberalisation appeared to have lowered air pollution. The fact that economic development has a detrimental impact on human health does not mean that we must stop promoting it. Alternatively, governments must make it possible for customers to get the money they need by focusing on the right kinds of economic development and availability. Taking green finance as an example, America is a major participant with obvious political significance (<xref ref-type="bibr" rid="B106">Zhang et al., 2020</xref>). As a result of the &#x201c;Sustainable Green Economy&#x201d; proclaimed on 16 April 2010, foreign banking firms are now required to support the advancement of an ecofriendly, low-carbon economic system, enhance the accuracy and reliability of accounting amenities, provide alternative credit financing activities, and keep improving the green credit customer&#x2019;s ability to meet their obligations (<xref ref-type="bibr" rid="B91">Smith et al., 2011</xref>). With a sustainable economic development programme, the danger of green financing should be reduced (<xref ref-type="bibr" rid="B71">Neuling et al., 2017</xref>).</p>
<p>Economic development measures must be coordinated with climate change policies in all nations in the area, including the United States. The United Nations framework convention on climate collaboration has been promoted most actively by Europe (<xref ref-type="bibr" rid="B80">Polan&#xed;a et al., 2012</xref>). Because of the International Agreement, countries in Europe implemented the Continental Environmental Trading Platform in 2005, despite significant political and philosophical differences (<xref ref-type="bibr" rid="B38">Hanslmayr et al., 2016</xref>).</p>
<p>As CO<sub>2</sub> greenhouse gas emissions continue, policymakers must promote environmental financing that is more accessible and equitable for those who are underprivileged or financially excluded. Consumers, microenterprises, and entrepreneurs should have access to banking services so they can reduce carbon dioxide emissions at the grassroots. It is important to highlight that, among several other aspects of the 2030 Agenda for sustainable development, significant governmental and non-governmental expenditure is critical for the transition to a low-carbon green economy. In the same way that all other past research has flaws, this one has a few as well. For starters, caused by a lack of data recorded, some critical factors of ecological sustainability, such as social and economic sustainability and global warming sensitivity, could not be seen as estimation methods. Besides which, to adequately capture the position of &#x2018;power generation legislation, even more exploration may be required to provide opinion on the matter to the simple interaction of carbon harm and compliance issue tracking with hydrocarbon rental income and other alternative fuels To compensate for these drawbacks, the report makes many suggestions for future research to help close research gaps linked to power demand, economic development, and (Carbon dioxide) pollution, as well as environmental rents. That&#x2019;s why research into the links involving economic development and emissions of carbon dioxide at the national and subnational levels is strongly suggested.</p>
<p>According to research, as the economy grows, so does coal energy use, and this has the unintended consequence of slowing sustainable growth. This possibility argues to authorities that reducing greenhouse gas emissions or limiting hydrocarbon use will lead to a decrease in financial inclusion, further thwarting UN Millennium Development Goals initiatives and green economies. As a consequence of this finding, the researchers have identified the accompanying policy implications. An approved regulatory body may evaluate managing to align organisations for the maximum advantage of improving 2030 Agenda 2030 because greenhouse gas emissions are heavily affected by carbon dioxide emissions. Aside from that, the generation of renewable and alternative energy could conceivably be prolonged, as well as the role of carbon dioxide in contributing to habitat destruction might be effectively controlled. Furthermore, imposing structural frameworks on carbon dioxide production would result in a quantifiable stability in GHG emissions, which would have a ripple effect on decreasing carbon dioxide emissions in the emerging economies of the European region.</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>HL: Original draft; K-TW: Literature; KK: revision; TT: Supervision; TN: Methodology; TP: Data Curation.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This research is partly funded by Van Lang University Vietnam, University of Economics Ho Chi Minh City, Vietnam, and Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number 502.02-2020.26.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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