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Quantification of the Driving Factors of Water Use in the Productive Sector Change Using Various Decomposition Methods

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Listed:
  • Jie Yang

    (Sun Yat-sen University
    Sun Yat-sen University
    Sun Yat-sen University)

  • Xiaohong Chen

    (Sun Yat-sen University
    Sun Yat-sen University
    Sun Yat-sen University)

Abstract

The water use in the productive sector in developing regions increases with quick socioeconomic development. This study is a quantitative analysis of the factors affecting changes in water use of the productive sector. Using Guangdong province as a case study, the driving factors of changes in water use in the productive sector are summarized as population, affluence, structure and technology factors on the basis of the impact = population × affluence × technology (IPAT) model (GDP is expressed at constant prices). Then the Laspeyres, the logarithmic mean Divisia index (LMDI), and the Shapley value decomposition model were adopted to determine the appropriate method and quantify the relative contribution of the driving factors. The results showed that the LMDI decomposition model was preferable for this case due to its accuracy, easy to use and expression. Affluence factor and population factor induce positive variation of water use of the productive sector, while structure factor and technology factor induce negative variation of water use of the productive sector. We also determined that water restriction policies helped to curb the increasing trend in water use of the productive sector, but also hinder economic growth to a certain extent. And we suggest that the future direction of water saving in the study area should focus on industrial restructuring. These findings have significant policy implications for water use in developing countries.

Suggested Citation

  • Jie Yang & Xiaohong Chen, 2019. "Quantification of the Driving Factors of Water Use in the Productive Sector Change Using Various Decomposition Methods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(12), pages 4105-4121, September.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:12:d:10.1007_s11269-019-02338-0
    DOI: 10.1007/s11269-019-02338-0
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    References listed on IDEAS

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    1. Kristian Skånberg & Åsa Svenfelt, 2022. "Expanding the IPAT identity to quantify backcasting sustainability scenarios," Futures & Foresight Science, John Wiley & Sons, vol. 4(2), June.

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