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  <doi_batch_id>aspg-38-4323-1792226263</doi_batch_id>
  <timestamp>20261017083743</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>Journal of Sustainable Development and Green Technology</full_title>
    <abbrev_title>JSDGT</abbrev_title>
    <issn media_type="electronic">2836-5399</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2026</year>
    </publication_date>
    <journal_volume>
     <volume>6</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Green Finance, Renewable Energy Adoption, and Carbon Emissions: Evidence from a Ten-Country Panel Dataset (2010–2022)</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Ihtisham ul</given_name>
      <surname>Haq</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Economics, The University of Haripur, Haripur, KP, Pakistan</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Andino</given_name>
      <surname>Maseleno</surname>
      <affiliations>
       <institution>
        <institution_name>Institut Bakti Nusantara, Lampung, Indonesia</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>The capital mobilisation needed to achieve the energy transition has put green finance on the agenda of climate policy discussions, but it is empirically unclear whether financial flows branded green translate into emissions abatement. Drawing on publicly available World Bank World Development Indicators and Climate Policy Initiative data for ten major economies over 2010–2022, this paper quantifies the relationships among green finance flows, renewable energy share, and per-capita CO2 emissions using pooled ordinary least squares regression, panel correlation analysis, and a cross-sectional multiple regression model. Renewable energy share is a strong negative predictor of per-capita emissions (r = −0.661; p &lt; 0.001; βˆ = −0.1104), with each percentage-point increase in renewable penetration associated with a reduction of approximately 0.11 metric tons of CO2 per capita. A three-variable cross-sectional model combining renewable energy share, green finance, and GDP per capita accounts for 61% of cross-country variance in emissions in 2022 (R2 = 0.613). There is a positive and heterogeneous relationship between green finance flows and renewable adoption, which is most notable when the financial commitment is combined with strong regulatory frameworks. The country level trajectory analysis shows that all the ten economies have been on the rise in their renewable share between 2010 and 2022, but at a rate varying between 0.37 and 2.88 percentage points annually, and that the institutional environment is a moderating factor. The results have immediate implications on the design of green bond markets, the lending policy of multilateral development banks, and the structures of additionality that support net-zero transition schemes.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2026</year>
    </publication_date>
    <pages>
     <first_page>31</first_page>
     <last_page>39</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">4323</item_number>
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     <doi>10.54216/JSDGT.060105</doi>
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