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Does the National Credit Demonstration Policy Affect Urban Green Economy Efficiency? Evidence from the Yangtze River Delta Region of China

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  • Haisheng Chen

    (College of Economics and Management, Zhejiang A&F University, Hangzhou 311300, China
    Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou 311300, China
    Research Academy for Rural Revitalization of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, China
    Zhejiang Provincial Credit Center, Hangzhou 310007, China)

  • Dingqing Ni

    (Wenzhou Pharmaceutical Industry Development Co., Wenzhou 325099, China)

  • Shuiping Zhu

    (College of Environmental Science and Engineering, Donghua University, Shanghai 201620, China)

  • Ying Ying

    (Zhejiang Provincial Credit Center, Hangzhou 310007, China)

  • Manhong Shen

    (College of Economics and Management, Zhejiang A&F University, Hangzhou 311300, China
    Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou 311300, China
    Research Academy for Rural Revitalization of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, China)

Abstract

A more scientific green economy efficiency indicator is constructed based on OH (2010), and a multiperiod spatial DID model is used to examine the impact of national credit demonstration policies on urban green economy efficiency in a sample of cities above the prefecture level in the Yangtze River Delta. The study confirms the following: (1) The national credit demonstration policy makes a significant contribution to the green economic efficiency of cities, and it is conducive to strengthening awareness of the rule of law in the market to regulate market order. (2) The demand for credit regulation in coastal areas has increased under the new development pattern, and the national credit demonstration policy has effectively enhanced green economy efficiency through institutional supply. (3) Under the national credit demonstration policy, the subprovincial level and above can mobilise more resources for policy refinement and support, reducing transaction costs and improving the efficiency of the green economy. (4) The impact of the national credit demonstration policy on the efficiency of Zhejiang’s green economy is more obvious; but, under the overall framework of the Yangtze River Delta, the policy has a more prominent role in promoting green economy efficiency in other provinces. Policy insights are as follows: (1) Different cities have different degrees of impact on the efficiency of the green economy from the national credit demonstration policy, and they should implement differentiated measures based on regional heterogeneity; (2) regulating the use of administrative resources and avoiding undue administrative intervention are important prerequisites for promoting regional integration to enhance the efficiency of the green economy; and (3) strengthening interprovincial credit policy synergies can help to alleviate administrative distortions of policy implementation and enhance the efficiency of the regional green economy.

Suggested Citation

  • Haisheng Chen & Dingqing Ni & Shuiping Zhu & Ying Ying & Manhong Shen, 2022. "Does the National Credit Demonstration Policy Affect Urban Green Economy Efficiency? Evidence from the Yangtze River Delta Region of China," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:9926-:d:885837
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    References listed on IDEAS

    as
    1. Sven Kevin van Langen & Renato Passaro, 2021. "The Dutch Green Deals Policy and Its Applicability to Circular Economy Policies," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    2. Yuanxin Peng & Zhuo Chen & Jay Lee, 2020. "Dynamic Convergence of Green Total Factor Productivity in Chinese Cities," Sustainability, MDPI, vol. 12(12), pages 1-18, June.
    3. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    4. Yining Zhang & Zhong Wu, 2021. "Intelligence and Green Total Factor Productivity Based on China’s Province-Level Manufacturing Data," Sustainability, MDPI, vol. 13(9), pages 1-16, April.
    5. Li Song & Xiaoliang Zhou, 2021. "Does the Green Industry Policy Reduce Industrial Pollution Emissions?—Evidence from China’s National Eco-Industrial Park," Sustainability, MDPI, vol. 13(11), pages 1-22, June.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    8. Fredriksson, Per G. & Millimet, Daniel L., 2002. "Strategic Interaction and the Determination of Environmental Policy across U.S. States," Journal of Urban Economics, Elsevier, vol. 51(1), pages 101-122, January.
    9. Neal D. Woods, 2006. "Interstate Competition and Environmental Regulation: A Test of the Race‐to‐the‐Bottom Thesis," Social Science Quarterly, Southwestern Social Science Association, vol. 87(1), pages 174-189, March.
    10. Yi Hu & Jiayu Zheng, 2021. "Is Green Credit a Good Tool to Achieve “Double Carbon” Goal? Based on Coupling Coordination Model and PVAR Model," Sustainability, MDPI, vol. 13(24), pages 1-21, December.
    11. Min Hong & Zhenghui Li & Benjamin Drakeford, 2021. "Do the Green Credit Guidelines Affect Corporate Green Technology Innovation? Empirical Research from China," IJERPH, MDPI, vol. 18(4), pages 1-21, February.
    12. Qiaowen Zhang & Annalien de Vries, 2022. "Seeking Moral Legitimacy through Corporate Social Responsibility: Evidence from Chinese Manufacturing Multinationals," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    13. Taskin, Fatma & Zaim, Osman, 2001. "The role of international trade on environmental efficiency: a DEA approach," Economic Modelling, Elsevier, vol. 18(1), pages 1-17, January.
    14. Stijn Reinhard & C.A. Knox Lovell & Geert Thijssen, 1999. "Econometric Estimation of Technical and Environmental Efficiency: An Application to Dutch Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 44-60.
    15. Yanli Wang & Xiaodong Lei & Dongxiao Zhao & Ruyin Long & Meifen Wu, 2021. "The Dual Impacts of Green Credit on Economy and Environment: Evidence from China," Sustainability, MDPI, vol. 13(8), pages 1-13, April.
    16. Xingming Li & Pengfei Shi & Yazhi Han & Aimin Deng & Duan Liu, 2020. "Measurement and Spatial Variation of Green Total Factor Productivity of the Tourism Industry in China," IJERPH, MDPI, vol. 17(4), pages 1-14, February.
    17. Yingyu Zhu & Yan Zhang & Huilan Piao, 2022. "Does Agricultural Mechanization Improve the Green Total Factor Productivity of China’s Planting Industry?," Energies, MDPI, vol. 15(3), pages 1-20, January.
    18. Kun Ge & Shan Zou & Shangan Ke & Danling Chen, 2021. "Does Urban Agglomeration Promote Urban Land Green Use Efficiency? Take the Yangtze River Economic Zone of China as an Example," Sustainability, MDPI, vol. 13(19), pages 1-19, September.
    19. Haisheng Chen & Shuiping Zhu & Jianjun Sun & Kaiyang Zhong & Manhong Shen & Xiaoli Wang, 2022. "A Study of the Spatial Structure and Regional Interaction of Agricultural Green Total Factor Productivity in China Based on SNA and VAR Methods," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
    20. Brunnermeier, Smita B. & Cohen, Mark A., 2003. "Determinants of environmental innovation in US manufacturing industries," Journal of Environmental Economics and Management, Elsevier, vol. 45(2), pages 278-293, March.
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    Cited by:

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