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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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    2. Zhao, Shuang & Zhang, Liqun & Peng, Lin & Zhou, Haiyan & Hu, Feng, 2024. "Enterprise pollution reduction through digital transformation? Evidence from Chinese manufacturing enterprises," Technology in Society, Elsevier, vol. 77(C).
    3. Lin Zhu & Xiaoming Li & Yao Huang & Fangyuan Liu & Chengji Yang & Dongyang Li & Hongpeng Bai, 2023. "Digital Technology and Green Development in Manufacturing: Evidence from China and 20 Other Asian Countries," Sustainability, MDPI, vol. 15(17), pages 1-20, August.
    4. Jing Zhang & Jun Shen & Zhifang Wu & Lei Nie, 2025. "Pollution Transfer or Industrial Upgrading: The Impact of Energy Conservation and Emission Reduction Fiscal Policy on Urban Green Total Factor Productivity in China," Sustainability, MDPI, vol. 17(20), pages 1-24, October.

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