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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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    as
    1. Chaofan Chen & Jing Han & Peilei Fan, 2016. "Measuring the Level of Industrial Green Development and Exploring Its Influencing Factors: Empirical Evidence from China’s 30 Provinces," Sustainability, MDPI, vol. 8(2), pages 1-20, February.
    2. Fujii, Hidemichi & Cao, Jing & Managi, Shunsuke, 2016. "Firm-level environmentally sensitive productivity and innovation in China," Applied Energy, Elsevier, vol. 184(C), pages 915-925.
    3. Fujii, Hidemichi & Managi, Shunsuke, 2015. "Economic development and multiple air pollutant emissions from the industrial sector," MPRA Paper 67027, University Library of Munich, Germany.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Yang, Zhenbing & Shao, Shuai & Yang, Lili & Liu, Jianghua, 2017. "Differentiated effects of diversified technological sources on energy-saving technological progress: Empirical evidence from China's industrial sectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1379-1388.
    6. Chen, Shiyi & Jefferson, Gary H. & Zhang, Jun, 2011. "Structural change, productivity growth and industrial transformation in China," China Economic Review, Elsevier, vol. 22(1), pages 133-150, March.
    7. Cheong, Tsun Se & Wu, Yanrui, 2014. "The impacts of structural transformation and industrial upgrading on regional inequality in China," China Economic Review, Elsevier, vol. 31(C), pages 339-350.
    8. Jeff Biddle, 2012. "Retrospectives: The Introduction of the Cobb-Douglas Regression," Journal of Economic Perspectives, American Economic Association, vol. 26(2), pages 223-236, Spring.
    9. Miguel F. Salvado & Susana G. Azevedo & João C. O. Matias & Luís M. Ferreira, 2015. "Proposal of a Sustainability Index for the Automotive Industry," Sustainability, MDPI, vol. 7(2), pages 1-32, February.
    10. Midilli, Adnan & Dincer, Ibrahim & Ay, Murat, 2006. "Green energy strategies for sustainable development," Energy Policy, Elsevier, vol. 34(18), pages 3623-3633, December.
    11. Li, Yi & Sun, Linyan & Feng, Taiwen & Zhu, Chunyan, 2013. "How to reduce energy intensity in China: A regional comparison perspective," Energy Policy, Elsevier, vol. 61(C), pages 513-522.
    12. Dai, Hancheng & Xie, Xuxuan & Xie, Yang & Liu, Jian & Masui, Toshihiko, 2016. "Green growth: The economic impacts of large-scale renewable energy development in China," Applied Energy, Elsevier, vol. 162(C), pages 435-449.
    13. Yin, Jianhua & Zheng, Mingzheng & Chen, Jian, 2015. "The effects of environmental regulation and technical progress on CO2 Kuznets curve: An evidence from China," Energy Policy, Elsevier, vol. 77(C), pages 97-108.
    14. Song, Malin & An, Qingxian & Zhang, Wei & Wang, Zeya & Wu, Jie, 2012. "Environmental efficiency evaluation based on data envelopment analysis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4465-4469.
    15. Stern, David I., 2004. "The Rise and Fall of the Environmental Kuznets Curve," World Development, Elsevier, vol. 32(8), pages 1419-1439, August.
    16. McDonald, John F & Moffitt, Robert A, 1980. "The Uses of Tobit Analysis," The Review of Economics and Statistics, MIT Press, vol. 62(2), pages 318-321, May.
    17. Chang Yu & Gerard P.J. Dijkema & Martin Jong, 2015. "What Makes Eco-Transformation of Industrial Parks Take Off in China?," Journal of Industrial Ecology, Yale University, vol. 19(3), pages 441-456, June.
    18. Zhang, Xing-Ping & Cheng, Xiao-Mei & Yuan, Jia-Hai & Gao, Xiao-Jun, 2011. "Total-factor energy efficiency in developing countries," Energy Policy, Elsevier, vol. 39(2), pages 644-650, February.
    19. Ralph A. Luken & Paul Hesp, 2007. "The contribution of six developing countries' industry to sustainable development," Sustainable Development, John Wiley & Sons, Ltd., vol. 15(4), pages 242-253.
    20. Ralph Luken & Fernando Castellanos‐Silveria, 2011. "Industrial transformation and sustainable development in developing countries," Sustainable Development, John Wiley & Sons, Ltd., vol. 19(3), pages 167-175, May/June.
    21. Mette Asmild & Joseph Paradi & Vanita Aggarwall & Claire Schaffnit, 2004. "Combining DEA Window Analysis with the Malmquist Index Approach in a Study of the Canadian Banking Industry," Journal of Productivity Analysis, Springer, vol. 21(1), pages 67-89, January.
    22. Anu Ramaswami & Christopher Weible & Deborah Main & Tanya Heikkila & Saba Siddiki & Andrew Duvall & Andrew Pattison & Meghan Bernard, 2012. "A Social‐Ecological‐Infrastructural Systems Framework for Interdisciplinary Study of Sustainable City Systems," Journal of Industrial Ecology, Yale University, vol. 16(6), pages 801-813, December.
    23. Xie, Hualin & Wang, Wei & Yang, Zihui & Choi, Yongrok, 2016. "Measuring the sustainable performance of industrial land utilization in major industrial zones of China," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 207-219.
    24. Ramanathan, Ramakrishnan, 2005. "An analysis of energy consumption and carbon dioxide emissions in countries of the Middle East and North Africa," Energy, Elsevier, vol. 30(15), pages 2831-2842.
    25. Zhou, Xiaoyan & Zhang, Jie & Li, Junpeng, 2013. "Industrial structural transformation and carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 57(C), pages 43-51.
    26. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, September.
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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. Xiaofang Wu & Luoping Zhang & Meifeng Luo, 2020. "Discerning sustainability approaches in shipping," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5169-5184, August.

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