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Green Total Factor Productivity Growth: Policy-Guided or Market-Driven?

Author

Listed:
  • Shuai Wang

    (School of Econimics, Central South University of Forestry and Technology, Changsha 410004, China)

  • Cunyi Yang

    (Lingnan College, Sun Yat-sen University, Guangzhou 510275, China)

  • Zhenghui Li

    (Guangzhou Institute of International Finance, Guangzhou University, Guangzhou 510405, China)

Abstract

The green growth mode of modern economy is affected by both policy and market, but previous studies have lacked a comparison between the two effects on green economy development. Which is the leading factor of green growth: policy or market? Using the Panel Smooth Transition Regression (PSTR) model and the twelve-year data of more than 200 prefecture-level cities in China, we compared and analyzed the linear and non-linear effects of environmental regulation and marketization degree on green total factor productivity (GTFP). The results show that: (1) both environmental regulation and marketization degree have a non-linear promoting effect on GTFP. (2) GTFP is mainly market-driven rather than policy-guided. (3) Environmental regulation and marketization promote the improvement of GTFP through the industrial upgrading effect and the innovation development effect, respectively. This paper makes up for the comparative analysis gap of factors in the field of green growth and extends from the single determination of influencing factors to the importance of the comparison of influencing factors with the transition perspective. The conclusions provide a reference for the green development of countries and regions, emphasizing the importance of green development policies adapting to local conditions and time and providing evidence for market-oriented green economy development.

Suggested Citation

  • Shuai Wang & Cunyi Yang & Zhenghui Li, 2022. "Green Total Factor Productivity Growth: Policy-Guided or Market-Driven?," IJERPH, MDPI, vol. 19(17), pages 1-19, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:17:p:10471-:d:895118
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    as
    1. Fouquau, Julien & Hurlin, Christophe & Rabaud, Isabelle, 2008. "The Feldstein-Horioka puzzle: A panel smooth transition regression approach," Economic Modelling, Elsevier, vol. 25(2), pages 284-299, March.
    2. Keyun Zhang & Yi Yi & Wenbin Zhang, 2014. "Environmental total factor productivity and regional disparity in China," Letters in Spatial and Resource Sciences, Springer, vol. 7(1), pages 9-21, March.
    3. 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).
    4. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    5. Ren, Siyu & Hao, Yu & Wu, Haitao, 2022. "The role of outward foreign direct investment (OFDI) on green total factor energy efficiency: Does institutional quality matters? Evidence from China," Resources Policy, Elsevier, vol. 76(C).
    6. Wang, Yan & Shen, Neng, 2016. "Environmental regulation and environmental productivity: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 758-766.
    7. Chenyang Liu & Lihang Cui & Cuixia Li, 2022. "Impact of Environmental Regulation on the Green Total Factor Productivity of Dairy Farming: Evidence from China," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
    8. Rolf Färe & Shawna Grosskopf & Carl A Pasurka, Jr., 2001. "Accounting for Air Pollution Emissions in Measures of State Manufacturing Productivity Growth," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 381-409, August.
    9. Mingliang Zhao & Fangyi Liu & Wei Sun & Xin Tao, 2020. "The Relationship between Environmental Regulation and Green Total Factor Productivity in China: An Empirical Study Based on the Panel Data of 177 Cities," IJERPH, MDPI, vol. 17(15), pages 1-19, July.
    10. Junna Bi & Jun Cai & Yan Zeng, 2021. "Equilibrium reinsurance-investment strategies with partial information and common shock dependence," Annals of Operations Research, Springer, vol. 307(1), pages 1-24, December.
    11. Donatien Hainaut & Yang Shen & Yan Zeng, 2018. "How do capital structure and economic regime affect fair prices of bank’s equity and liabilities?," Annals of Operations Research, Springer, vol. 262(2), pages 519-545, March.
    12. Zhenghui Li & Fanqi Zou & Yong Tan & Jinhui Zhu, 2021. "Does Financial Excess Support Land Urbanization—An Empirical Study of Cities in China," Land, MDPI, vol. 10(6), pages 1-17, June.
    13. Kaiming Zhong & Hongyan Fu & Tinghui Li, 2022. "Can the Digital Economy Facilitate Carbon Emissions Decoupling? An Empirical Study Based on Provincial Data in China," IJERPH, MDPI, vol. 19(11), pages 1-25, June.
    14. Zhenghui Li & Zimei Huang & Pierre Failler, 2022. "Dynamic Correlation between Crude Oil Price and Investor Sentiment in China: Heterogeneous and Asymmetric Effect," Energies, MDPI, vol. 15(3), pages 1-22, January.
    15. Yu Hao & Jingwen Huang & Yunxia Guo & Haitao Wu & Siyu Ren, 2022. "Does the legacy of state planning put pressure on ecological efficiency? Evidence from China," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3100-3121, November.
    16. Zhou, Peng & Poh, Kim Leng & Ang, Beng Wah, 2007. "A non-radial DEA approach to measuring environmental performance," European Journal of Operational Research, Elsevier, vol. 178(1), pages 1-9, April.
    17. Wu, Haitao & Hao, Yu & Ren, Siyu, 2020. "How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China," Energy Economics, Elsevier, vol. 91(C).
    18. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    19. Greening, Lorna A. & Bernow, Steve, 2004. "Design of coordinated energy and environmental policies: use of multi-criteria decision-making," Energy Policy, Elsevier, vol. 32(6), pages 721-735, April.
    20. Yaya Su & Zhenghui Li & Cunyi Yang, 2021. "Spatial Interaction Spillover Effects between Digital Financial Technology and Urban Ecological Efficiency in China: An Empirical Study Based on Spatial Simultaneous Equations," IJERPH, MDPI, vol. 18(16), pages 1-27, August.
    21. Cunyi Yang & Tinghui Li & Khaldoon Albitar, 2021. "Does energy efficiency affect ambient PM2.5? The moderating role of energy investment," Papers 2105.11080, arXiv.org.
    22. Dinda, Soumyananda, 2004. "Environmental Kuznets Curve Hypothesis: A Survey," Ecological Economics, Elsevier, vol. 49(4), pages 431-455, August.
    23. Wu, Haitao & Hao, Yu & Ren, Siyu & Yang, Xiaodong & Xie, Guo, 2021. "Does internet development improve green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 153(C).
    24. Pittman, Russell W, 1983. "Multilateral Productivity Comparisons with Undesirable Outputs," Economic Journal, Royal Economic Society, vol. 93(372), pages 883-891, December.
    25. Yonglian Chang & Yingjun Huang & Manman Li & Zhengmin Duan, 2021. "Threshold Effect in the Relationship between Environmental Regulations and Haze Pollution: Empirical Evidence from PSTR Estimation," IJERPH, MDPI, vol. 18(23), pages 1-19, November.
    26. Wustenhagen, Rolf & Bilharz, Michael, 2006. "Green energy market development in Germany: effective public policy and emerging customer demand," Energy Policy, Elsevier, vol. 34(13), pages 1681-1696, September.
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