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The impact of green finance on the optimization of industrial structure: Evidence from China

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  • Xing Xiong
  • Yuxing Wang
  • Bin Liu
  • Wenhong He
  • Xinghou Yu

Abstract

Green finance promotes the optimization of industrial structure and continuous improvement of ecological environment by supporting the development of green industries. Based on the panel data of 30 provinces in China from 2012 to 2020, this paper uses the entropy weight TOPSIS method to measure the development level of green finance and the level of industrial structure optimization in China, and constructs a panel data model to empirically test the impact of green finance on the upgrading of China’s industrial structure. The study finds that there is still an imbalance and insufficiency in the development of green finance and industrial structure optimization in China. From 2012 to 2020, the development level of green finance and the level of industrial structure optimization in China have been continuously rising, but there is obvious heterogeneity, showing an eastern>central>western spatial pattern. Empirical analysis results show that at the significance level of 1‰, the development of green finance has a significant promoting effect on the rationalization and upgrading of the industrial structure. However, there is significant heterogeneity in the impact of green finance on industrial structure optimization. In terms of regional heterogeneity, at the significance level of 1‰, the role of green finance in promoting the optimization of industrial structure in central and western China is higher than that in eastern China, and the impact of green finance on China’s industrial structure shows a spatial pattern of western>central>eastern China. In terms of industry heterogeneity, at the significance level of 1‰, green finance has a significant promoting effect on the development of green industries, and a significant inhibiting effect on the development of high-energy-consuming industries. Specifically, in the green industry, green finance has the greatest promoting effect on the communication and other electronic equipment manufacturing industry; in the high-energy-consuming industry, green finance has the greatest inhibiting effect on the black metal smelting and rolling processing industry, and the smallest impact on the petroleum, coal and other fuel processing industry. Finally, based on this, policy suggestions for green finance to support the optimization of industrial structure are proposed from two dimensions: government and financial institutions.

Suggested Citation

  • Xing Xiong & Yuxing Wang & Bin Liu & Wenhong He & Xinghou Yu, 2023. "The impact of green finance on the optimization of industrial structure: Evidence from China," PLOS ONE, Public Library of Science, vol. 18(8), pages 1-30, August.
    • Handle: RePEc:plo:pone00:0289844
    DOI: 10.1371/journal.pone.0289844
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    as
    1. Tzu-Ling Huang & Peter F. Orazem & Darin Wohlgemuth, 2002. "Rural Population Growth, 1950–1990: The Roles of Human Capital, Industry Structure, and Government Policy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 615-627.
    2. Xiaoke Zhao & Xuhui Ding & Liang Li, 2021. "Research on Environmental Regulation, Technological Innovation and Green Transformation of Manufacturing Industry in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    3. Davis, E. Philip & Stone, Mark R., 2004. "Corporate financial structure and financial stability," Journal of Financial Stability, Elsevier, vol. 1(1), pages 65-91, September.
    4. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    5. Hongwei Liao & Liangping Yang & Henan Ma & JiaoJiao Zheng, 2020. "Technology import, secondary innovation, and industrial structure optimization: A potential innovation strategy for China," Pacific Economic Review, Wiley Blackwell, vol. 25(2), pages 145-160, May.
    6. Dikau, Simon & Volz, Ulrich, 2021. "Central bank mandates, sustainability objectives and the promotion of green finance," Ecological Economics, Elsevier, vol. 184(C).
    7. Yu, Chin-Hsien & Wu, Xiuqin & Zhang, Dayong & Chen, Shi & Zhao, Jinsong, 2021. "Demand for green finance: Resolving financing constraints on green innovation in China," Energy Policy, Elsevier, vol. 153(C).
    8. Du, Kerui & Cheng, Yuanyuan & Yao, Xin, 2021. "Environmental regulation, green technology innovation, and industrial structure upgrading: The road to the green transformation of Chinese cities," Energy Economics, Elsevier, vol. 98(C).
    9. Li Xie & Chunlin Chen & Yihua Yu, 2019. "Dynamic Assessment of Environmental Efficiency in Chinese Industry: A Multiple DEA Model with a Gini Criterion Approach," Sustainability, MDPI, vol. 11(8), pages 1-22, April.
    10. Jin, Yi & Gao, Xiaoyan & Wang, Min, 2021. "The financing efficiency of listed energy conservation and environmental protection firms: Evidence and implications for green finance in China," Energy Policy, Elsevier, vol. 153(C).
    11. Wang, Xinyue & Wang, Qing, 2021. "Research on the impact of green finance on the upgrading of China's regional industrial structure from the perspective of sustainable development," Resources Policy, Elsevier, vol. 74(C).
    12. Li, Menghan & Hamawandy, Nawzad Majeed & Wahid, Fazle & Rjoub, Husam & Bao, Zongke, 2021. "Renewable energy resources investment and green finance: Evidence from China," Resources Policy, Elsevier, vol. 74(C).
    13. Lu, Xin-hai & Jiang, Xu & Gong, Meng-qi, 2020. "How land transfer marketization influence on green total factor productivity from the approach of industrial structure? Evidence from China," Land Use Policy, Elsevier, vol. 95(C).
    14. Libo Li & Wenbing Wu & Mingyu Zhang & Lu Lin, 2021. "Linkage Analysis between Finance and Environmental Protection Sectors in China: An Approach to Evaluating Green Finance," IJERPH, MDPI, vol. 18(5), pages 1-16, March.
    15. Wang, Fayuan & Wang, Rong & He, Zhili, 2021. "The impact of environmental pollution and green finance on the high-quality development of energy based on spatial Dubin model," Resources Policy, Elsevier, vol. 74(C).
    16. Wang, Moran & Li, Xuerong & Wang, Shouyang, 2021. "Discovering research trends and opportunities of green finance and energy policy: A data-driven scientometric analysis," Energy Policy, Elsevier, vol. 154(C).
    17. Zhou, Xiaoyan & Zhang, Jie & Li, Junpeng, 2013. "Industrial structural transformation and carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 57(C), pages 43-51.
    18. Chenggang Li & Tao Lin & Zhenci Xu & Yuzhu Chen, 2021. "Impacts of Foreign Direct Investment and Industrial Structure Transformation on Haze Pollution across China," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
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    1. Zhao, Chenyuan & Lei, Zhaolongyu & Zhao, Xu & Wang, Yuxuan, 2025. "Carbon finance development, industrial structure and green financial instruments," The North American Journal of Economics and Finance, Elsevier, vol. 78(C).

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