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Characteristics of Spatial–Temporal Variations in Coupling Coordination between Industrial Water Use and Industrial Green Development Systems in China

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  • Qinghua Pang

    (Business School, Hohai University, Changzhou 213022, China)

  • Hailiang Huang

    (Business School, Hohai University, Changzhou 213022, China)

  • Lina Zhang

    (Business School, Hohai University, Changzhou 213022, China)

Abstract

The coupling coordination between industrial water use (IWU) and industrial green development (IGD) systems is crucial for achieving sustainable development goals. This paper measures the coupling coordination degree between IWU and IGD systems, and the spatial–temporal evolution characteristics of the degree are discussed. Here, the IWU system is assessed by adopting a dynamic slacks-based measure model, and the IGD system’s performance is evaluated using an entropy-weighted TOPSIS model. The results showed that: (1) The provincial IWU efficiency showed a rising trend from 2009 to 2018 in general, while its spatial dimension showed a distribution of high in the eastern region and low in the western region. (2) The IGD performance in the eastern region was better than that in the central and western regions; the gap in industrial innovation and industrial resources was the main factor. (3) The spatial structure of the coupling coordination degree between IWU and IGD systems was gradually stable. It also had a strong spatial dependence and its evolution volatility has been enhanced. (4) The coupling coordination was improving but exhibited a dynamic local spatial dependence and volatile process, and its spatial agglomeration had a relatively higher path dependence and locked spatial features.

Suggested Citation

  • Qinghua Pang & Hailiang Huang & Lina Zhang, 2022. "Characteristics of Spatial–Temporal Variations in Coupling Coordination between Industrial Water Use and Industrial Green Development Systems in China," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
  • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:330-:d:1014720
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    References listed on IDEAS

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    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. Nguyen Bich Hong & Mitsuyasu Yabe, 2017. "Improvement in irrigation water use efficiency: a strategy for climate change adaptation and sustainable development of Vietnamese tea production," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(4), pages 1247-1263, August.
    3. Lee, Cheng F. & Lin, Sue J. & Lewis, Charles & Chang, Yih F., 2007. "Effects of carbon taxes on different industries by fuzzy goal programming: A case study of the petrochemical-related industries, Taiwan," Energy Policy, Elsevier, vol. 35(8), pages 4051-4058, August.
    4. Kaoru Tone & Miki Tsutsui, 2014. "Slacks-Based Network DEA," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 231-259, Springer.
    5. Laureti, Tiziana & Benedetti, Ilaria & Branca, Giacomo, 2021. "Water use efficiency and public goods conservation: A spatial stochastic frontier model applied to irrigation in Southern Italy," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    6. Lv, Chengchao & Bian, Baocheng & Lee, Chien-Chiang & He, Zhiwen, 2021. "Regional gap and the trend of green finance development in China," Energy Economics, Elsevier, vol. 102(C).
    7. Xingwei Li & Jianguo Du & Hongyu Long, 2020. "Mechanism for Green Development Behavior and Performance of Industrial Enterprises (GDBP-IE) Using Partial Least Squares Structural Equation Modeling (PLS-SEM)," IJERPH, MDPI, vol. 17(22), pages 1-19, November.
    8. Zhijun Feng & Wei Chen, 2018. "Environmental Regulation, Green Innovation, and Industrial Green Development: An Empirical Analysis Based on the Spatial Durbin Model," Sustainability, MDPI, vol. 10(1), pages 1-22, January.
    9. Zaijun Li & Meijuan Hu & Zhenyu Wang, 2020. "The space‐time evolution and driving forces of county economic growth in China from 1998 to 2015," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1203-1223, September.
    10. Wang, Yujie & Chen, Hong & Long, Ruyin & Liu, Bei & Jiang, Shiyan & Yang, Xingxing & Yang, Menghua, 2021. "Evaluating green development level of mineral resource-listed companies: Based on a “dark green” assessment framework," Resources Policy, Elsevier, vol. 71(C).
    11. Wei Wang & Hualin Xie & Fucai Lu & Xinmin Zhang, 2017. "Measuring the Performance of Industrial Green Development Using a Non-Radial Directional Distance Function Approach: A Case Study of Jiangxi Province in China," Sustainability, MDPI, vol. 9(10), pages 1-17, September.
    12. Bingquan Liu & Yongqing Li & Rui Hou & Hui Wang, 2019. "Does Urbanization Improve Industrial Water Consumption Efficiency?," Sustainability, MDPI, vol. 11(6), pages 1-17, March.
    13. Shasha Wang & Rongrong Li, 2018. "Toward the Coordinated Sustainable Development of Urban Water Resource Use and Economic Growth: An Empirical Analysis of Tianjin City, China," Sustainability, MDPI, vol. 10(5), pages 1-13, April.
    14. Sergio Rey & Alan Murray & Luc Anselin, 2011. "Visualizing regional income distribution dynamics," Letters in Spatial and Resource Sciences, Springer, vol. 4(1), pages 81-90, March.
    15. 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.
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