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Dynamic Coupling Analysis of Urbanization and Water Resource Utilization Systems in China

Author

Listed:
  • Hailiang Ma

    (Institute for Water Resource Information Statistic and Management, Hohai University, Changzhou 213022, China)

  • Nan-Ting Chou

    (College of Business, University of Louisville, Louisville, KY 40208, USA)

  • Lei Wang

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

Abstract

While urbanization brings economic and social benefits, it also causes water pollution and other environmental ecological problems. This paper provides a theoretical framework to quantitatively analyze the dynamic relationship between water resource utilization and the process of urbanization. Using data from Jiangsu province, we first construct indices to evaluate urbanization and water resource utilization. We then adopt an entropy model to examine the correlation between urbanization and water resource utilization. In addition, we introduce a dynamic coupling model to analyze and predict the coupling degree between urbanization and water resource utilization. Our analyses show that pairing with rising urbanization during 2002–2014, the overall index of water resource utilization in Jiangsu province has experienced a “decline -rise-decline” trend. Specifically, after the index of water resource utilization reached its lowest point in 2004, it gradually began to rise. Water resource utilization reached its highest value in 2010. The coupling degree between urbanization and water resource utilization was relatively low in 2002 and 2003 varying between −90° and 0°. It has been rising since then. Out-of-sample forecasts indicate that the coupling degree will reach its highest value of 74.799° in 2016, then will start to gradually decline. Jiangsu province was chosen as our studied area because it is one of the selected pilot provinces for China’s economic reform and social development. The analysis of the relationship between provincial water resource utilization and urbanization is essential to the understanding of the dynamic relationship between these two systems. It also serves as an important input for developing national policies for sustainable urbanization and water resource management.

Suggested Citation

  • Hailiang Ma & Nan-Ting Chou & Lei Wang, 2016. "Dynamic Coupling Analysis of Urbanization and Water Resource Utilization Systems in China," Sustainability, MDPI, vol. 8(11), pages 1-18, November.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:11:p:1176-:d:82879
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    References listed on IDEAS

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    Cited by:

    1. Sicong Wang & Changhai Qin & Yong Zhao & Jing Zhao & Yuping Han, 2023. "The Evolutionary Path of the Center of Gravity for Water Use, the Population, and the Economy, and Their Decomposed Contributions in China from 1965 to 2019," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    2. Zhenfeng Shao & Lin Ding & Deren Li & Orhan Altan & Md. Enamul Huq & Congmin Li, 2020. "Exploring the Relationship between Urbanization and Ecological Environment Using Remote Sensing Images and Statistical Data: A Case Study in the Yangtze River Delta, China," Sustainability, MDPI, vol. 12(14), pages 1-28, July.
    3. Xiling Zhang & Yusheng Kong & Xuhui Ding, 2020. "How High-Quality Urbanization Affects Utilization Efficiency of Agricultural Water Resources in the Yellow River Basin under Double Control Action?," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
    4. Li Wang & Tiangui Lv & Hualin Xie & Xinmin Zhang & Yanwei Zhang & Junxing Cai & Yuanyuan Liu & Jiang Liu, 2024. "Assessing urban smart growth in China based on the sustainable development goals framework," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 19627-19657, August.
    5. Xueping Gao & Lingling Chen & Bowen Sun & Yinzhu Liu, 2017. "Employing SWOT Analysis and Normal Cloud Model for Water Resource Sustainable Utilization Assessment and Strategy Development," Sustainability, MDPI, vol. 9(8), pages 1-23, August.

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