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Impact of Green Finance on Carbon Emissions Based on a Two-Stage LMDI Decomposition Method

Author

Listed:
  • Zirong Lin

    (Taiwan Research Institute, Xiamen University, Xiamen 361000, China)

  • Hui Wang

    (Taiwan Research Institute, Xiamen University, Xiamen 361000, China)

  • Wei Li

    (School of Finance and Accounting, Anhui Xinhua University, Hefei 230088, China)

  • Min Chen

    (Taiwan Research Institute, Xiamen University, Xiamen 361000, China)

Abstract

As the “double carbon” goal gains traction worldwide, achieving a balance between economic growth and environmental sustainability has become a focal point for researchers. Green finance, as a specialized financial service, offers a new approach to sustainable development. This study analyzed carbon emission sources in 25 Chinese provinces between 2007 and 2020, dividing them into energy structure, economic development, energy efficiency, and industrial structure, using a two-stage LMDI method. It then examines the linear and non-linear relationships between green finance and carbon emissions using spatial measurement methods. The findings indicate that green finance is an effective way to reduce carbon emissions, primarily through its impact on energy structure, energy efficiency, and industrial structure. There are significant non-linear relationships between green finance and the factors affecting carbon emissions, with spatial effects playing a significant role in carbon emissions influenced by energy structure, economic development, energy efficiency, and industrial structure.

Suggested Citation

  • Zirong Lin & Hui Wang & Wei Li & Min Chen, 2023. "Impact of Green Finance on Carbon Emissions Based on a Two-Stage LMDI Decomposition Method," Sustainability, MDPI, vol. 15(17), pages 1-28, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:12808-:d:1224192
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    References listed on IDEAS

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    Cited by:

    1. Jinhui Sang & Lingying Pan, 2024. "Impact of Green Infrastructure Investment on Urban Carbon Emissions in China," Sustainability, MDPI, vol. 16(7), pages 1-23, March.

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