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Evaluating low-carbon economic peer effects of green finance and ICT for sustainable development: a Chinese perspective
With the adoption of the United Nations Sustainable Development Goals and the Paris Climate Agreement, ADB’s involvement should not be ignored. The Global Environment Facility (GEF) and ADB have teamed up to provide climate change financing for developing countries. Included in this is climate prote...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9702839/ https://www.ncbi.nlm.nih.gov/pubmed/36434457 http://dx.doi.org/10.1007/s11356-022-24234-8 |
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author | Liu, Yujia Xia, Lianfeng |
author_facet | Liu, Yujia Xia, Lianfeng |
author_sort | Liu, Yujia |
collection | PubMed |
description | With the adoption of the United Nations Sustainable Development Goals and the Paris Climate Agreement, ADB’s involvement should not be ignored. The Global Environment Facility (GEF) and ADB have teamed up to provide climate change financing for developing countries. Included in this is climate protection finance, the financing method that offers cash to assist the region in achieving ecological responsibility. Using a systematic framework, the researchers in this study examined the rationale for building a cohort result of green management in China in the new phase of the country’s development. As part of a multiplicative framework, the long-term correlation between variables is quantified using the dynamic common correlated effect (D-CCE) and interactive fixed effect. According to the findings, renewable energy and green financing are good environmental indicators. Environmental degradation is negatively affected by green governance. Some people are concerned about how to dispose of ICT, yet on the other side, ICT can help cut carbon emissions with new clean technologies. Moreover, the findings show that urbanization and per capita income increase carbon emissions. The results suggest that Chinese officials need to support reducing carbon emissions through the development of ICT infrastructure, green financing, and renewable energy. GRAPHICAL ABSTRACT: [Image: see text] |
format | Online Article Text |
id | pubmed-9702839 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-97028392022-11-28 Evaluating low-carbon economic peer effects of green finance and ICT for sustainable development: a Chinese perspective Liu, Yujia Xia, Lianfeng Environ Sci Pollut Res Int Research Article With the adoption of the United Nations Sustainable Development Goals and the Paris Climate Agreement, ADB’s involvement should not be ignored. The Global Environment Facility (GEF) and ADB have teamed up to provide climate change financing for developing countries. Included in this is climate protection finance, the financing method that offers cash to assist the region in achieving ecological responsibility. Using a systematic framework, the researchers in this study examined the rationale for building a cohort result of green management in China in the new phase of the country’s development. As part of a multiplicative framework, the long-term correlation between variables is quantified using the dynamic common correlated effect (D-CCE) and interactive fixed effect. According to the findings, renewable energy and green financing are good environmental indicators. Environmental degradation is negatively affected by green governance. Some people are concerned about how to dispose of ICT, yet on the other side, ICT can help cut carbon emissions with new clean technologies. Moreover, the findings show that urbanization and per capita income increase carbon emissions. The results suggest that Chinese officials need to support reducing carbon emissions through the development of ICT infrastructure, green financing, and renewable energy. GRAPHICAL ABSTRACT: [Image: see text] Springer Berlin Heidelberg 2022-11-25 2023 /pmc/articles/PMC9702839/ /pubmed/36434457 http://dx.doi.org/10.1007/s11356-022-24234-8 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Research Article Liu, Yujia Xia, Lianfeng Evaluating low-carbon economic peer effects of green finance and ICT for sustainable development: a Chinese perspective |
title | Evaluating low-carbon economic peer effects of green finance and ICT for sustainable development: a Chinese perspective |
title_full | Evaluating low-carbon economic peer effects of green finance and ICT for sustainable development: a Chinese perspective |
title_fullStr | Evaluating low-carbon economic peer effects of green finance and ICT for sustainable development: a Chinese perspective |
title_full_unstemmed | Evaluating low-carbon economic peer effects of green finance and ICT for sustainable development: a Chinese perspective |
title_short | Evaluating low-carbon economic peer effects of green finance and ICT for sustainable development: a Chinese perspective |
title_sort | evaluating low-carbon economic peer effects of green finance and ict for sustainable development: a chinese perspective |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9702839/ https://www.ncbi.nlm.nih.gov/pubmed/36434457 http://dx.doi.org/10.1007/s11356-022-24234-8 |
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