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Can green finance development abate carbon emissions: Evidence from China

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  • Wang, Jiaqi
  • Tian, Jiaxin
  • Kang, Yuxin
  • Guo, Kun

Abstract

Green finance has been treated as an important tool in the transformation process to low-carbon economy; however, it still remains a question whether the development of green finance could offer carbon savings, or inversely lead to more carbon debts. Based on panel data of 30 provincial administrative regions during 2008–2019, we use the fixed-effect model to examine the carbon emissions reduction effect of green finance. The empirical results suggest that green finance development exerts significantly negative influence on carbon emissions by energy consumption structure optimization and industrial structure upgrading. Besides, we also find that compared with green bond, green credit has a more pronounced carbon emissions reduction effect at present. Furthermore, the heterogeneity of green credit types and regional heterogeneity are both discussed in this study. It is indicated that the green credit oriented for energy conservation and environmental protection could restrain the carbon emissions more significantly while the green credit oriented for clean energy cannot contribute to cutting down carbon emissions as remarkably as other types of green credit. As for regional heterogeneity, results suggest that green finance could curtail carbon emissions in the central and western regions, while this effect is not significant for provinces in the eastern part of China. Thus, the green finance policies should be implemented based on regional characteristics in order to abate carbon emissions more effectively.

Suggested Citation

  • Wang, Jiaqi & Tian, Jiaxin & Kang, Yuxin & Guo, Kun, 2023. "Can green finance development abate carbon emissions: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 73-91.
    • Handle: RePEc:eee:reveco:v:88:y:2023:i:c:p:73-91
    DOI: 10.1016/j.iref.2023.06.011
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    References listed on IDEAS

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    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • P28 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Natural Resources; Environment
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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