Exploring the synergies between digital finance and clean energy: a case study of green bond spillover effects
The impact of digital finance on green bonds and clean energy sources is analyzed. So, the primary objective of this study is to create a unique time-varying causality test to identify the relationship between ecological consciousness and green technology, clean energy, and digital currency. The Chi...
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Veröffentlicht in: | Environmental science and pollution research international 2023-09, Vol.30 (44), p.100188-100202 |
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description | The impact of digital finance on green bonds and clean energy sources is analyzed. So, the primary objective of this study is to create a unique time-varying causality test to identify the relationship between ecological consciousness and green technology, clean energy, and digital currency. The China region was established using data from 2001 to 2019. A dynamic connection model with spillover is employed to further guarantee stability. The empirical findings reveal that the clean energy to digital finance index (30.544%) and the clean energy to green economy index (30.544%) are the sources for the spillover shocks analysis. because the overall dynamic connection of assets throughout time is affected by financial events. For every additional percentage point that renewable energy sources are employed, long-term environmental costs are lowered by 0.68%. And yet, the transition from renewable energy to digital finance has been characterised by increasing instability and causal significance as it has advanced. The organizational environment is shown to have the second-greatest influence on the growth of the green bond market, behind the state of the local economy and environmental governance. Increasing the marketability of clean energy securities requires stable, predictable legislation that improves our knowledge of the risk profile of these investments. |
doi_str_mv | 10.1007/s11356-023-29205-1 |
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Increasing the marketability of clean energy securities requires stable, predictable legislation that improves our knowledge of the risk profile of these investments.</description><identifier>ISSN: 1614-7499</identifier><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-023-29205-1</identifier><identifier>PMID: 37632622</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Alternative energy sources ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; China ; Clean energy ; Clean technology ; Conservation of Natural Resources ; Digital currencies ; Dynamic stability ; Earth and Environmental Science ; Ecological effects ; Economic Development ; Ecotoxicology ; Empirical analysis ; Energy ; Energy resources ; Energy-Generating Resources ; Environment ; Environmental Chemistry ; Environmental governance ; Environmental Health ; Environmental Policy ; Finance ; Green economy ; Investments ; Legislation ; Local economy ; Marketability ; Renewable Energy ; Renewable energy sources ; Renewable resources ; Research Article ; Risk assessment ; Waste Water Technology ; Water Management ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2023-09, Vol.30 (44), p.100188-100202</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. 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So, the primary objective of this study is to create a unique time-varying causality test to identify the relationship between ecological consciousness and green technology, clean energy, and digital currency. The China region was established using data from 2001 to 2019. A dynamic connection model with spillover is employed to further guarantee stability. The empirical findings reveal that the clean energy to digital finance index (30.544%) and the clean energy to green economy index (30.544%) are the sources for the spillover shocks analysis. because the overall dynamic connection of assets throughout time is affected by financial events. For every additional percentage point that renewable energy sources are employed, long-term environmental costs are lowered by 0.68%. And yet, the transition from renewable energy to digital finance has been characterised by increasing instability and causal significance as it has advanced. The organizational environment is shown to have the second-greatest influence on the growth of the green bond market, behind the state of the local economy and environmental governance. Increasing the marketability of clean energy securities requires stable, predictable legislation that improves our knowledge of the risk profile of these investments.</description><subject>Alternative energy sources</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>China</subject><subject>Clean energy</subject><subject>Clean technology</subject><subject>Conservation of Natural Resources</subject><subject>Digital currencies</subject><subject>Dynamic stability</subject><subject>Earth and Environmental Science</subject><subject>Ecological effects</subject><subject>Economic Development</subject><subject>Ecotoxicology</subject><subject>Empirical analysis</subject><subject>Energy</subject><subject>Energy resources</subject><subject>Energy-Generating Resources</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental governance</subject><subject>Environmental 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Int</addtitle><date>2023-09-01</date><risdate>2023</risdate><volume>30</volume><issue>44</issue><spage>100188</spage><epage>100202</epage><pages>100188-100202</pages><issn>1614-7499</issn><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>The impact of digital finance on green bonds and clean energy sources is analyzed. So, the primary objective of this study is to create a unique time-varying causality test to identify the relationship between ecological consciousness and green technology, clean energy, and digital currency. The China region was established using data from 2001 to 2019. A dynamic connection model with spillover is employed to further guarantee stability. The empirical findings reveal that the clean energy to digital finance index (30.544%) and the clean energy to green economy index (30.544%) are the sources for the spillover shocks analysis. because the overall dynamic connection of assets throughout time is affected by financial events. For every additional percentage point that renewable energy sources are employed, long-term environmental costs are lowered by 0.68%. And yet, the transition from renewable energy to digital finance has been characterised by increasing instability and causal significance as it has advanced. The organizational environment is shown to have the second-greatest influence on the growth of the green bond market, behind the state of the local economy and environmental governance. Increasing the marketability of clean energy securities requires stable, predictable legislation that improves our knowledge of the risk profile of these investments.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>37632622</pmid><doi>10.1007/s11356-023-29205-1</doi><tpages>15</tpages></addata></record> |
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subjects | Alternative energy sources Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution China Clean energy Clean technology Conservation of Natural Resources Digital currencies Dynamic stability Earth and Environmental Science Ecological effects Economic Development Ecotoxicology Empirical analysis Energy Energy resources Energy-Generating Resources Environment Environmental Chemistry Environmental governance Environmental Health Environmental Policy Finance Green economy Investments Legislation Local economy Marketability Renewable Energy Renewable energy sources Renewable resources Research Article Risk assessment Waste Water Technology Water Management Water Pollution Control |
title | Exploring the synergies between digital finance and clean energy: a case study of green bond spillover effects |
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