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Decomposing the Driving Factors of Water Use in China

Author

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  • Wei Li

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (SKL-WAC), China Institute of Water Resources and Hydropower Research (IWHR), Beijing 100038, China
    China Three Gorges Corporation (CTG), Beijing 100038, China)

  • Xifeng Wang

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (SKL-WAC), China Institute of Water Resources and Hydropower Research (IWHR), Beijing 100038, China
    Institute of Quantitative & Technical Economy, Chinese Academy of Social Sciences, Beijing 100732, China)

  • Jiahong Liu

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (SKL-WAC), China Institute of Water Resources and Hydropower Research (IWHR), Beijing 100038, China
    Department of Water Resources, China Institute of Water Resources and Hydropower Research (IWHR), Beijing 100038, China)

  • Yangwen Jia

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (SKL-WAC), China Institute of Water Resources and Hydropower Research (IWHR), Beijing 100038, China
    Department of Water Resources, China Institute of Water Resources and Hydropower Research (IWHR), Beijing 100038, China)

  • Yaqin Qiu

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (SKL-WAC), China Institute of Water Resources and Hydropower Research (IWHR), Beijing 100038, China
    Department of Water Resources, China Institute of Water Resources and Hydropower Research (IWHR), Beijing 100038, China)

Abstract

Based on the national input–output table, a comparable price non-competitive input–output table was compiled for 2002, 2007, and 2012. The influence factors of price and product imports were removed from the table. Furthermore, a water-use input–output table was constructed based on the links between the economic system and water resources management. With the multi-factor structural decomposition analysis (SDA) model developed in this paper, the driving forces of water use were decomposed into 18 factors, and quantitative effect results were obtained. Total water use in China increased by 3.9% from 2002 to 2007 and by 5.4% from 2007 to 2012 with the combined effects of multiple factors. For example, the increase in economic scale raised water use by 46.6% and 45.5%, respectively. Advancement in agricultural technology (production and water-saving technologies) reduced water use by 14.9% and 19.8%, respectively. Reducing the proportion of thermal/nuclear power and increasing the price of electricity have water use-reducing effects. Changes in the mode of development considerably reduced water use by 9.5% and 5.3%, respectively. Water-use management should focus on factors that have great influence on water use and show high water-use sensitivity.

Suggested Citation

  • Wei Li & Xifeng Wang & Jiahong Liu & Yangwen Jia & Yaqin Qiu, 2019. "Decomposing the Driving Factors of Water Use in China," Sustainability, MDPI, vol. 11(8), pages 1-13, April.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:8:p:2300-:d:223511
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    References listed on IDEAS

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    1. Erik Dietzenbacher & Bart Los, 2000. "Structural Decomposition Analyses with Dependent Determinants," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 497-514.
    2. Cazcarro, Ignacio & Duarte, Rosa & Sánchez-Chóliz, Julio, 2013. "Economic growth and the evolution of water consumption in Spain: A structural decomposition analysis," Ecological Economics, Elsevier, vol. 96(C), pages 51-61.
    3. Liangxin Fan & Guobin Liu & Fei Wang & Coen Ritsema & Violette Geissen, 2014. "Domestic Water Consumption under Intermittent and Continuous Modes of Water Supply," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(3), pages 853-865, February.
    4. Wood, Richard, 2009. "Structural decomposition analysis of Australia's greenhouse gas emissions," Energy Policy, Elsevier, vol. 37(11), pages 4943-4948, November.
    5. Rose, A. & Chen, C. Y., 1991. "Sources of change in energy use in the U.S. economy, 1972-1982 : A structural decomposition analysis," Resources and Energy, Elsevier, vol. 13(1), pages 1-21, April.
    6. Betts, Julian R., 1989. "Two exact, non-arbitrary and general methods of decomposing temporal change," Economics Letters, Elsevier, vol. 30(2), pages 151-156, August.
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    2. Wang, Lei & Zhou, Yahong & Chiao, Benjamin, 2023. "Robots and firm innovation: Evidence from Chinese manufacturing," Journal of Business Research, Elsevier, vol. 162(C).

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