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N-11 和金砖国家绿色金融与气候变化缓解之间的关系:基于差分法(DID)的实证估计。

Nexus between green finance and climate change mitigation in N-11 and BRICS countries: empirical estimation through difference in differences (DID) approach.

机构信息

Department of Economics, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.

VIT-AP School of Business, Amaravati, India.

出版信息

Environ Sci Pollut Res Int. 2021 Feb;28(6):6504-6519. doi: 10.1007/s11356-020-10920-y. Epub 2020 Sep 30.

DOI:10.1007/s11356-020-10920-y
PMID:32997248
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7526081/
Abstract

Green finance is inextricably linked to investment risk, particularly in emerging and developing economies (EMDE). This study uses the difference in differences (DID) method to evaluate the mean causal effects of a treatment on an outcome of the determinants of scaling up green financing and climate change mitigation in the N-11 countries from 2005 to 2019. After analyzing with a dummy for the treated countries, it was confirmed that the outcome covariates: rescon (renewable energy sources consumption), population, FDI, CO, inflation, technical corporation grants, domestic credit to the private sector, and research and development are very significant in promoting green financing and climate change mitigation in the study countries. The probit regression results give a different outcome, as rescon, FID, CO, Human Development Index (HDI), and investment in the energy sector by the private sector that will likely have an impact on the green financing and climate change mitigation of the study countries. Furthermore, after matching the analysis through the nearest neighbor matching, kernel matching, and radius matching, it produced mixed results for both the treated and the untreated countries. Either group experienced an improvement in green financing and climate change mitigation or a decrease. Overall, the DID showed no significant difference among the countries.

摘要

绿色金融与投资风险密切相关,尤其是在新兴和发展中经济体(EMDE)。本研究采用差异中的差异(DID)方法,评估了 2005 年至 2019 年 N-11 国家扩大绿色融资和减缓气候变化决定因素的规模的处理对结果的平均因果效应。在对受处理国家进行虚拟变量分析后,确认结果协变量:可再生能源消费(rescon)、人口、外国直接投资(FDI)、CO、通货膨胀、技术公司赠款、对私营部门的国内信贷和研发,对研究国家的绿色融资和减缓气候变化具有重要意义。概率回归结果给出了不同的结果,因为可再生能源消费(rescon)、FDI、CO、人类发展指数(HDI)和私营部门在能源部门的投资可能会对研究国家的绿色融资和减缓气候变化产生影响。此外,通过最近邻匹配、核匹配和半径匹配进行匹配分析后,处理组和未处理组的结果均不一致。两组国家的绿色金融和减缓气候变化都有所改善或下降。总体而言,DID 并未显示各国之间存在显著差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286f/7526081/09c209618d4f/11356_2020_10920_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286f/7526081/b6ca3003b86c/11356_2020_10920_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286f/7526081/db16439b2343/11356_2020_10920_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286f/7526081/3f5a0c172281/11356_2020_10920_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286f/7526081/51f3a0341bdb/11356_2020_10920_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286f/7526081/9bef8a1b5d29/11356_2020_10920_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286f/7526081/4cf5815a956e/11356_2020_10920_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286f/7526081/09c209618d4f/11356_2020_10920_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286f/7526081/b6ca3003b86c/11356_2020_10920_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286f/7526081/db16439b2343/11356_2020_10920_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286f/7526081/3f5a0c172281/11356_2020_10920_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286f/7526081/51f3a0341bdb/11356_2020_10920_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286f/7526081/9bef8a1b5d29/11356_2020_10920_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286f/7526081/4cf5815a956e/11356_2020_10920_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286f/7526081/09c209618d4f/11356_2020_10920_Fig7_HTML.jpg

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