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The Measurement of Green Finance Development Index and Its Poverty Reduction Effect: Dynamic Panel Analysis Based on Improved Entropy Method

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  • Lili Jiang
  • Hui Wang
  • Aihua Tong
  • Zhifei Hu
  • Hongjun Duan
  • Xiaolei Zhang
  • Yifeng Wang

Abstract

Finance contributes to poverty alleviation through economic growth, and the development of green finance is related to the sustainable development of the world economy and environment. Green finance not only helps promote sustainable economic development but also helps reduce poverty. Based on the analysis of related theories about green finance and poverty alleviation, this paper selects 18 indicators from three dimensions of economic development, financial development, and social environmental development and uses the improved entropy method to measure the green finance development index of China’s 25 provinces and municipalities from 2004 to 2017. The results show that the development level of green finance in China’s 25 provinces and municipalities is quite different. On the basis of the above analysis, make an empirical analysis of the impact of the green finance development index on poverty alleviation using multiple regression analysis and static panel and dynamic panel estimation methods. The research results show that there is a significant positive correlation between green finance and poverty alleviation; the higher the level of green finance development, the more conducive the poverty alleviation. So, this paper suggests that poverty can be better alleviated by improving the level of green finance development, financial asset level, and economic development level.

Suggested Citation

  • Lili Jiang & Hui Wang & Aihua Tong & Zhifei Hu & Hongjun Duan & Xiaolei Zhang & Yifeng Wang, 2020. "The Measurement of Green Finance Development Index and Its Poverty Reduction Effect: Dynamic Panel Analysis Based on Improved Entropy Method," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-13, December.
  • Handle: RePEc:hin:jnddns:8851684
    DOI: 10.1155/2020/8851684
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    Cited by:

    1. Chen, Wei & Zou, Wandan & Zhong, Kaiyang & Aliyeva, Alina, 2023. "Machine learning assessment under the development of green technology innovation: A perspective of energy transition," Renewable Energy, Elsevier, vol. 214(C), pages 65-73.
    2. Mutascu, Mihai & Horky, Florian & Strango, Cristina, 2023. "Good or bad? Digitalisation and green preferences," Energy Economics, Elsevier, vol. 121(C).
    3. Yonghong Tang & Hui Wang & Zirong Lin, 2023. "Spatial Heterogeneity Effects of Green Finance on Absolute and Relative Poverty," Sustainability, MDPI, vol. 15(7), pages 1-22, April.
    4. Fushuai Wang & Wenxia Cai & Ehsan Elahi, 2021. "Do Green Finance and Environmental Regulation Play a Crucial Role in the Reduction of CO 2 Emissions? An Empirical Analysis of 126 Chinese Cities," Sustainability, MDPI, vol. 13(23), pages 1-20, November.
    5. Wang, Lin & Dilanchiev, Azer & Haseeb, Mohammad, 2022. "The environmental regulation and policy assessment effect on the road to green recovery transformation," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 914-929.
    6. Lv, Chengchao & Bian, Baocheng & Lee, Chien-Chiang & He, Zhiwen, 2021. "Regional gap and the trend of green finance development in China," Energy Economics, Elsevier, vol. 102(C).
    7. Hasan, Mohammad Maruf & Du, Fang, 2023. "Nexus between green financial development, green technological innovation and environmental regulation in China," Renewable Energy, Elsevier, vol. 204(C), pages 218-228.
    8. Bhatnagar, S. & Sharma, D., 2022. "Evolution of green finance and its enablers: A bibliometric analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    9. Lee, Chien-Chiang & Wang, Chih-Wei & Ho, Shan-Ju, 2022. "The dimension of green economy: Culture viewpoint," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 122-138.
    10. Liu, Fang & Chen, Houqun & Zhang, Shuwen, 2023. "Nexus among corruption, political instability and natural resources on economic recovery in Vietnam," Resources Policy, Elsevier, vol. 85(PB).
    11. Irfan, Muhammad & Razzaq, Asif & Sharif, Arshian & Yang, Xiaodong, 2022. "Influence mechanism between green finance and green innovation: Exploring regional policy intervention effects in China," Technological Forecasting and Social Change, Elsevier, vol. 182(C).

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