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Investigating the spatiotemporal differences and influencing factors of green water use efficiency of Yangtze River Economic Belt in China

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  • Ke-Liang Wang
  • Jianguo Wang
  • Jianming Wang
  • Lili Ding
  • Mingsong Zhao
  • Qunwei Wang

Abstract

Combining freshwater consumption and wastewater emissions into a unified analysis framework and utilizing the epsilon-based measure (EBM) model with the characteristics of radial model and non-radial model, this paper evaluates green water use efficiency (GWUE) of 11 provincial-regions in the Yangtze River Economic Belt (YREB) and investigates its spatiotemporal differences during the period 2005–2014, on basis of which the contribution rate of each input-specific green water use inefficiency in the overall green water use efficiency and the potential of freshwater-saving and wastewater emissions reduction are also calculated. The Theil index is used to explore the sources of the provincial gap of green water use inefficiency, and a random-effect panel Tobit model is applied to test the impact of the influencing factors of green water use inefficiency in the YREB. It is found that green water use inefficiency of the YREB is relatively low and regional differences is significant during the sample period, indicating a large potential of water-saving and water pollution reduction, and narrowing BGAP and WGAP of the Upstream is the key for improving green water use inefficiency in the YREB. The panel Tobit regression results show that economic development, technological innovation, water use structure, water resources endowment, environmental regulation and regional differences all play positive/negative effects on green water use inefficiency in the YREB, while these factors’ influencing direction, degree and significance are significantly different. The conclusions of our study can provide considerably valuable information for the YREB to reserve water resources and reduce wastewater emissions.

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  • Ke-Liang Wang & Jianguo Wang & Jianming Wang & Lili Ding & Mingsong Zhao & Qunwei Wang, 2020. "Investigating the spatiotemporal differences and influencing factors of green water use efficiency of Yangtze River Economic Belt in China," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-24, April.
  • Handle: RePEc:plo:pone00:0230963
    DOI: 10.1371/journal.pone.0230963
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    References listed on IDEAS

    as
    1. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    2. Qingling Shi & Shiyi Chen & Chenchen Shi & Zhan Wang & Xiangzheng Deng, 2014. "The Impact of Industrial Transformation on Water Use Efficiency in Northwest Region of China," Sustainability, MDPI, vol. 7(1), pages 1-19, December.
    3. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
    4. Speelman, Stijn & D'Haese, Marijke & Buysse, Jeroen & D'Haese, Luc, 2008. "A measure for the efficiency of water use and its determinants, a case study of small-scale irrigation schemes in North-West Province, South Africa," Agricultural Systems, Elsevier, vol. 98(1), pages 31-39, July.
    5. Frija, Aymen & Chebil, Ali & Speelman, Stijn & Buysse, Jeroen & Van Huylenbroeck, Guido, 2009. "Water use and technical efficiencies in horticultural greenhouses in Tunisia," Agricultural Water Management, Elsevier, vol. 96(11), pages 1509-1516, November.
    6. Gadanakis, Yiorgos & Bennett, Richard & Park, Julian & Areal, Francisco Jose, 2015. "Improving productivity and water use efficiency: A case study of farms in England," Agricultural Water Management, Elsevier, vol. 160(C), pages 22-32.
    7. Qin, Quande & Li, Xin & Li, Li & Zhen, Wei & Wei, Yi-Ming, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China’s coastal areas," Applied Energy, Elsevier, vol. 185(P1), pages 604-614.
    8. Michael Zschille & Matthias Walter, 2012. "The performance of German water utilities: a (semi)-parametric analysis," Applied Economics, Taylor & Francis Journals, vol. 44(29), pages 3749-3764, October.
    9. Hu, Jin-Li & Wang, Shih-Chuan & Yeh, Fang-Yu, 2006. "Total-factor water efficiency of regions in China," Resources Policy, Elsevier, vol. 31(4), pages 217-230, December.
    10. Zhang, Ning & Wei, Xiao, 2015. "Dynamic total factor carbon emissions performance changes in the Chinese transportation industry," Applied Energy, Elsevier, vol. 146(C), pages 409-420.
    11. Timo Kuosmanen & Mika Kortelainen, 2005. "Measuring Eco‐efficiency of Production with Data Envelopment Analysis," Journal of Industrial Ecology, Yale University, vol. 9(4), pages 59-72, October.
    12. Jing Li & Xiao-can Ma, 2015. "Econometric analysis of industrial water use efficiency in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(5), pages 1209-1226, October.
    13. Md Ali & K. Klein, 2014. "Water Use Efficiency and Productivity of the Irrigation Districts in Southern Alberta," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2751-2766, August.
    14. Mariam Camarero & Juana Castillo & Andrés Picazo-Tadeo & Cecilio Tamarit, 2013. "Eco-Efficiency and Convergence in OECD Countries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 55(1), pages 87-106, May.
    15. Wang, Qunwei & Zhou, Peng & Zhou, Dequn, 2012. "Efficiency measurement with carbon dioxide emissions: The case of China," Applied Energy, Elsevier, vol. 90(1), pages 161-166.
    16. Bouman, B. A.M., 2007. "A conceptual framework for the improvement of crop water productivity at different spatial scales," Agricultural Systems, Elsevier, vol. 93(1-3), pages 43-60, March.
    17. G. Karagiannis & V. Tzouvelekas & A. Xepapadeas, 2003. "Measuring Irrigation Water Efficiency with a Stochastic Production Frontier," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 26(1), pages 57-72, September.
    18. Wang, Zhaohua & Feng, Chao & Zhang, Bin, 2014. "An empirical analysis of China's energy efficiency from both static and dynamic perspectives," Energy, Elsevier, vol. 74(C), pages 322-330.
    19. 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.
    20. Cui, Qiang & Li, Ye, 2017. "Airline efficiency measures using a Dynamic Epsilon-Based Measure model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 121-134.
    21. Oh, Dong-hyun & Heshmati, Almas, 2010. "A sequential Malmquist-Luenberger productivity index: Environmentally sensitive productivity growth considering the progressive nature of technology," Energy Economics, Elsevier, vol. 32(6), pages 1345-1355, November.
    22. Zhang, Ning & Kong, Fanbin & Choi, Yongrok, 2014. "Measuring sustainability performance for China: A sequential generalized directional distance function approach," Economic Modelling, Elsevier, vol. 41(C), pages 392-397.
    23. Baris Yilmaz & Mehmet Yurdusev & Nilgun Harmancioglu, 2009. "The Assessment of Irrigation Efficiency in Buyuk Menderes Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(6), pages 1081-1095, April.
    24. Huang, Yilong & Chen, Liding & Fu, Bojie & Huang, Zhilin & Gong, Jie, 2005. "The wheat yields and water-use efficiency in the Loess Plateau: straw mulch and irrigation effects," Agricultural Water Management, Elsevier, vol. 72(3), pages 209-222, April.
    25. 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.
    26. Zhuang Miao & Tomas Baležentis & Zhihua Tian & Shuai Shao & Yong Geng & Rui Wu, 2019. "Environmental Performance and Regulation Effect of China’s Atmospheric Pollutant Emissions: Evidence from “Three Regions and Ten Urban Agglomerations”," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(1), pages 211-242, September.
    27. Kaoru Tone & Miki Tsutsui, 2010. "An epsilon-based measure of efficiency in DEA revisited -A third pole of technical efficiency," GRIPS Discussion Papers 09-21, National Graduate Institute for Policy Studies.
    28. 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.
    29. Wang, Zhaohua & Feng, Chao, 2015. "Sources of production inefficiency and productivity growth in China: A global data envelopment analysis," Energy Economics, Elsevier, vol. 49(C), pages 380-389.
    30. Yu Liu & Xiaohong Hu & Qian Zhang & Mingbo Zheng, 2017. "Improving Agricultural Water Use Efficiency: A Quantitative Study of Zhangye City Using the Static CGE Model with a CES Water−Land Resources Account," Sustainability, MDPI, vol. 9(2), pages 1-15, February.
    31. 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.
    32. Xu, Xin & Cui, Qiang, 2017. "Evaluating airline energy efficiency: An integrated approach with Network Epsilon-based Measure and Network Slacks-based Measure," Energy, Elsevier, vol. 122(C), pages 274-286.
    33. Bonfiglio, Andrea & Arzeni, Andrea & Bodini, Antonella, 2017. "Assessing eco-efficiency of arable farms in rural areas," Agricultural Systems, Elsevier, vol. 151(C), pages 114-125.
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    2. Xiangqian Wang & Shudong Wang & Yongqiu Xia, 2022. "Evaluation and Dynamic Evolution of the Total Factor Environmental Efficiency in China’s Mining Industry," Energies, MDPI, vol. 15(3), pages 1-19, February.

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