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Distribution of Spatial and Temporal Heterogeneity of Green Total-Factor Productivity in the Chinese Manufacturing Industry, and the Influencing Factors

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  • Yongquan Zhao

    (School of Economics and Management, Shanghai Maritime University, Shanghai 201306, China)

  • Ziwei Zhang

    (School of Economics and Management, Shanghai Maritime University, Shanghai 201306, China)

Abstract

This paper considers GTFP of energy consumption and environmental pollution from a sustainable perspective as a measure of the evolutionary efficiency of manufacturing industries. It uses the super-efficiency SBM model to calculate the GTFP efficiency values of manufacturing industries in 30 Chinese provinces from 2011 to 2019. Moran’s index and the GTWR model were used to study the spatial correlation and impact factors of GTFP. The results found that the following. (1) The overall level of GTFP in China’s manufacturing industry from 2011 to 2019 rose progressively, and the level of GTFP between different regions gradually reduced. (2) The spatial correlation of GTFP in China’s manufacturing industry is significantly positive, with a positive spatial spillover effect. (3) The level of manufacturing GTFP is affected by economic development, investment, and other factors. (4) There is spatiotemporal heterogeneity in the impact factors of manufacturing GTFP. According to empirical research focusing on the goal of sustainable development, it is proposed to increase the use of clean energy and reduce environmental pollution. To carry out green development according to local conditions, the eastern region will strengthen the development of new energy manufacturing and continue to increase investment in innovation, and the central and western regions will strengthen environmental supervision, accelerate industrial transformation, and attract more foreign investment.

Suggested Citation

  • Yongquan Zhao & Ziwei Zhang, 2023. "Distribution of Spatial and Temporal Heterogeneity of Green Total-Factor Productivity in the Chinese Manufacturing Industry, and the Influencing Factors," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:2919-:d:1059347
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    References listed on IDEAS

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    1. Xi Zhang & Rui Li & Jinglei Zhang, 2022. "Understanding the Green Total Factor Productivity of Manufacturing Industry in China: Analysis Based on the Super-SBM Model with Undesirable Outputs," Sustainability, MDPI, vol. 14(15), pages 1-16, July.
    2. 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.
    3. Suyang Xiao & Susu Wang & Fanhua Zeng & Wei-Chiao Huang, 2022. "Spatial Differences and Influencing Factors of Industrial Green Total Factor Productivity in Chinese Industries," Sustainability, MDPI, vol. 14(15), pages 1-24, July.
    4. Jiangfeng Hu & Zhao Wang & Yuehan Lian & Qinghua Huang, 2018. "Environmental Regulation, Foreign Direct Investment and Green Technological Progress—Evidence from Chinese Manufacturing Industries," IJERPH, MDPI, vol. 15(2), pages 1-14, January.
    5. Xiaodi Yang & Di Wang, 2022. "Heterogeneous Environmental Regulation, Foreign Direct Investment, and Regional Carbon Dioxide Emissions: Evidence from China," Sustainability, MDPI, vol. 14(11), pages 1-19, May.
    6. Ying Li & Siyu Li & Wei Zhang, 2021. "The Influence Study on Environmental Regulation and Green Total Factor Productivity of China’s Manufacturing Industry," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-15, April.
    7. Ke Mao & Pierre Failler, 2022. "Local Government Debt and Green Total Factor Productivity—Empirical Evidence from Chinese Cities," IJERPH, MDPI, vol. 19(19), pages 1-13, September.
    8. Watanabe, Michio & Tanaka, Katsuya, 2007. "Efficiency analysis of Chinese industry: A directional distance function approach," Energy Policy, Elsevier, vol. 35(12), pages 6323-6331, December.
    9. Ping Lu & Jianhui Liu & Yunxuan Wang & Lei Ruan, 2021. "Can industrial agglomeration improve regional green total factor productivity in China? An empirical analysis based on spatial econometrics," Growth and Change, Wiley Blackwell, vol. 52(2), pages 1011-1039, June.
    10. 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).
    11. 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.
    12. Yan Li & Xiaohan Zhang & Chenxin Jin & Qingbo Huang, 2022. "The Influence of Reverse Technology Spillover of Outward Foreign Direct Investment on Green Total Factor Productivity in China’s Manufacturing Industry," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
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