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How to Improve Industrial Green Total Factor Productivity under Dual Carbon Goals? Evidence from China

Author

Listed:
  • Kaifeng Li

    (School of Management, China University of Mining and Technology, Xuzhou 221000, China)

  • Yun Chen

    (School of Management, China University of Mining and Technology, Xuzhou 221000, China)

  • Jingren Chen

    (School of Mathematics, Southeast University, Nanjing 211189, China)

Abstract

This paper focuses on the relationship between green credit and industrial green total factor productivity under the dual carbon target. In recent years, weather extremes that break historical extremes have occurred frequently around the world, and the resulting loss of life and property has deepened people’s concern about climate change. As a responsible developing country, China has set the goal of reaching peak carbon emissions and reducing carbon intensity by 60–65% by 2030. In this context, based on China’s provincial-level data from 2006 to 2019, this paper first measures the growth rate of industrial green total factor productivity using the SBM-ML model, and then analyzes the impact of green credit on industrial green total factor productivity under the double carbon target by constructing the transmission mechanism of the energy consumption structure and the regulation mechanism of environmental regulation on green credit. We then analyze the impact of green credit on industrial green total factor productivity under the dual carbon target by constructing the transmission mechanism of the energy consumption structure and the regulation mechanism of environmental regulation on green credit. We find that green credit can improve the energy consumption structure and thus increase industrial green total factor productivity. In addition, the study finds that the interaction effect of green credit and environmental regulation suppresses the positive impact of green credit on industrial green TFP. This paper provides empirical evidence and policy implications for the orderly promotion of carbon peaking and carbon neutral efforts to effectively improve industrial green total factor productivity and promote high-quality economic development.

Suggested Citation

  • Kaifeng Li & Yun Chen & Jingren Chen, 2023. "How to Improve Industrial Green Total Factor Productivity under Dual Carbon Goals? Evidence from China," Sustainability, MDPI, vol. 15(11), pages 1-13, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8972-:d:1162204
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    1. Shi, Jinyan & Yu, Conghui & Li, Yanxi & Wang, Tianhe, 2022. "Does green financial policy affect debt-financing cost of heavy-polluting enterprises? An empirical evidence based on Chinese pilot zones for green finance reform and innovations," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    2. Zhu, Zhaohui & Tan, Yafei, 2022. "Can green industrial policy promote green innovation in heavily polluting enterprises? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 59-75.
    3. Antimiani Alessandro & Valeria Costantini & Anil Markandya & Chiara Martini & Alessandro Palma & Maria Cristina Tommasino, 2014. "A dynamic CGE modelling approach for analyzing trade-offs in climate change policy options: the case of Green Climate Fund," SEEDS Working Papers 1614, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jun 2014.
    4. Zhang, Dongyang, 2022. "Does the green loan policy boost greener production? – Evidence from Chinese firms," Emerging Markets Review, Elsevier, vol. 51(PB).
    5. Olsen, Karen Holm & Fenhann, Jørgen, 2008. "Sustainable development benefits of clean development mechanism projects: A new methodology for sustainability assessment based on text analysis of the project design documents submitted for validation," Energy Policy, Elsevier, vol. 36(8), pages 2773-2784, August.
    6. Jin, Wei & Ding, Wen & Yang, Jun, 2022. "Impact of financial incentives on green manufacturing: Loan guarantee vs. interest subsidy," European Journal of Operational Research, Elsevier, vol. 300(3), pages 1067-1080.
    7. Markandya, A. & Antimiani, A. & Costantini, V. & Martini, C. & Palma, A. & Tommasino, M.C., 2015. "Analyzing Trade-offs in International Climate Policy Options: The Case of the Green Climate Fund," World Development, Elsevier, vol. 74(C), pages 93-107.
    8. repec:aen:journl:ej41-6-lee is not listed on IDEAS
    9. Xia, Fan & Xu, Jintao, 2020. "Green total factor productivity: A re-examination of quality of growth for provinces in China," China Economic Review, Elsevier, vol. 62(C).
    10. Jeffrey Frankel & Andrew Rose, 2002. "An Estimate of the Effect of Common Currencies on Trade and Income," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(2), pages 437-466.
    11. Chen, Yang & Yang, Shengping & Li, Quan, 2022. "How does the development of digital financial inclusion affect the total factor productivity of listed companies? Evidence from China," Finance Research Letters, Elsevier, vol. 47(PB).
    12. Xiao Yan Zhou & Ben Caldecott & Andreas G. F. Hoepner & Yao Wang, 2022. "Bank green lending and credit risk: an empirical analysis of China's Green Credit Policy," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1623-1640, May.
    13. Wen, Shiyan & Jia, Zhijie, 2022. "The energy, environment and economy impact of coal resource tax, renewable investment, and total factor productivity growth," Resources Policy, Elsevier, vol. 77(C).
    14. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    15. Da Gao & Xinlin Mo & Kun Duan & Yi Li, 2022. "Can Green Credit Policy Promote Firms’ Green Innovation? Evidence from China," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
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    3. Zhang, Zhaohui & Zhang, Junchao, 2025. "Role of financial deepening in promoting high-quality manufacturing under environmental regulation," Finance Research Letters, Elsevier, vol. 86(PG).

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