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Measuring the Dynamic Efficiency of Regional Industrial Green Transformation in China

Author

Listed:
  • Jinpeng Fu

    (Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China)

  • Guirong Xiao

    (Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China)

  • Lingling Guo

    (Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China)

  • Chunyou Wu

    (Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China)

Abstract

The green concept has become one of the key demands of the current era of development in China. As an attempt to cope with climate change and constraints of resources and environment, the industrial green transformation is bound to have a dramatic impact on the whole society. This paper enriches the understanding of industrial green transformation by highlighting its social attributes. Combining a hybrid model with a window analysis, this paper measures the dynamic efficiency of regional industrial green transformation in China from 2006 to 2015. In general, Beijing, Tianjin, Shanghai, Jiangsu, Zhejiang, Fujian, Shandong and Guangdong obtain the best performance; industrial water use has the lowest and most unstable efficiency among various resources. Tobit regression model, thereafter, is used to analyze the impact of hypothetical factors on the efficiency of industrial green transformation. The findings demonstrate that reduction and lean management of state-owned property, promoting the development of the productive service industry, minimizing the proportion of fossil energy use and establishing an excellent economic basis can have nationally positive impacts on the regional industrial green transformation; the progress of the productive service industry is the key to industrial green transformation in Eastern China, while the internal optimization of the industrial sector should be paid more attention in other regions, especially in Western China. Finally, detailed discussions and policy suggestions at a regional level as well as research prospects are given.

Suggested Citation

  • Jinpeng Fu & Guirong Xiao & Lingling Guo & Chunyou Wu, 2018. "Measuring the Dynamic Efficiency of Regional Industrial Green Transformation in China," Sustainability, MDPI, vol. 10(3), pages 1-19, February.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:3:p:628-:d:133844
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    Cited by:

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    3. Zhenjie Gong & Yanhu He & Xiaohong Chen, 2022. "Evaluation of Regional Water Use Efficiency under Green and Sustainable Development Using an Improved Super Slack-Based Measure Model," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
    4. Kuo‐Cheng Kuo & Wen‐Min Lu & Dinh Tam Nguyen & Hsiu Fei Wang, 2020. "The effect of special economic zones on governance performance and their spillover effects in Chinese provinces," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 446-460, April.
    5. Kai Xu & Bart Bossink & Qiang Chen, 2019. "Efficiency Evaluation of Regional Sustainable Innovation in China: A Slack-Based Measure (SBM) Model with Undesirable Outputs," Sustainability, MDPI, vol. 12(1), pages 1-21, December.
    6. Jia-Pei Yue & Fu-Qin Zhang, 2022. "Evaluation of Industrial Green Transformation in the Process of Urbanization: Regional Difference Analysis in China," Sustainability, MDPI, vol. 14(7), pages 1-15, April.
    7. Dong, Yangzi & Wong, Wing-Keung & Muda, Iskandar & Cong, Phan The & Duong Hoang, Anh & Ghardallou, Wafa & Ha, Ngo Ngan, 2023. "Do natural resources utilization and economic development reduce greenhouse gas emissions through consuming renewable and Clean Technology? A case study of China towards sustainable development goals," Resources Policy, Elsevier, vol. 85(PB).
    8. Razzaq, Asif & Sharif, Arshian & Yang, Xiaodong & Dogan, Eyup, 2024. "Influence mechanism of electricity price distortion on industrial green transformation: A spatial analysis of Chinese regions," Energy Economics, Elsevier, vol. 130(C).
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