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Green innovation efficiency across China’s 30 provinces: estimate, comparison, and convergence

Author

Listed:
  • Xingle Long

    (Beijing Institute of Technology
    Jiangsu University)

  • Chuanwang Sun

    (Xiamen University)

  • Chao Wu

    (Jiangsu University)

  • Bin Chen

    (Jiangsu University)

  • Kofi Agyenim Boateng

    (Jiangsu University)

Abstract

Considering government and market failure of environmental regulation to combat increasing GHG (greenhouse gas) emissions, green innovation can mitigate pollution through production processes and clean production. This paper aims to investigate endogenous green innovation efficiency and its convergence across China’s 30 provinces from 2004 to 2014. Due to factor endowment heterogeneity, it is important to explore the convergence of green innovation efficiency among China’s different regions, which can compare green innovation efficiency spatially and propose scientific policy implications for regions with relatively weaker green innovation efficiency. Green innovation efficiency is evaluated through epsilon-based measure (EBM) global Malmquist-Luenberger (ML) in order to overcome the demerits of radial model and slacks-based measure (SBM). Panel unit root test is implemented to explore the convergence of green innovation efficiency across different provinces of China, which addresses the invalid inference of conventional β convergence. The empirical analysis revealed that green innovation efficiency in the east is the highest among four regions of China. Unit root test of panel data revealed that the northeast had the highest convergence among China’s four regions. It is important to enhance green innovation capacity, and expand knowledge spillover of green innovation technology in order to mitigate GHG emissions.

Suggested Citation

  • Xingle Long & Chuanwang Sun & Chao Wu & Bin Chen & Kofi Agyenim Boateng, 2020. "Green innovation efficiency across China’s 30 provinces: estimate, comparison, and convergence," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1243-1260, October.
    • Handle: RePEc:spr:masfgc:v:25:y:2020:i:7:d:10.1007_s11027-019-09903-3
    DOI: 10.1007/s11027-019-09903-3
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    3. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    4. Li, Huidi & Liu, Jiali & Wang, Huiru, 2024. "Impact of green technology innovation on the quality of regional economic development," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 463-476.
    5. Lu Zhang & Renyan Mu & Shuhua Hu & Quan Zhang & Song Wang, 2021. "Impacts of Manufacturing Specialized and Diversified Agglomeration on the Eco-Innovation Efficiency—A Nonlinear Test from Dynamic Perspective," Sustainability, MDPI, vol. 13(7), pages 1-27, March.
    6. Jiao Feng & Nannan Wang & Guoshuai Sun, 2022. "Measurement of Innovation-Driven Development Performance of Large-Scale Environmental Protection Enterprises Investing in Public–Private Partnership Projects Based on the Hybrid Method," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    7. Liang Liu & Yuting Zhao & Xiujuan Gong & Shu Liu & Mengyue Li & Yirui Yang & Pan Jiang, 2023. "Threshold Effect of Environmental Regulation and Green Innovation Efficiency: From the Perspective of Chinese Fiscal Decentralization and Environmental Protection Inputs," IJERPH, MDPI, vol. 20(5), pages 1-17, February.

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