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The Relationship between Coordination Degree of the Water–Energy–Food System and Regional Economic Development

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Listed:
  • Shasha Xu

    (Business School, Hohai University, Nanjing 210098, China)

  • Weijun He

    (College of Economic & Management, China Three Gorges University, Yichang 443002, China)

  • Liang Yuan

    (College of Economic & Management, China Three Gorges University, Yichang 443002, China)

  • Dagmawi Mulugeta Degefu

    (College of Economic & Management, China Three Gorges University, Yichang 443002, China
    Faculty of Engineering and Architectural Science, Ryerson University, Toronto, ON M5B 2K3, Canada)

  • Yang Yang

    (College of Economic & Management, China Three Gorges University, Yichang 443002, China)

  • Hua Li

    (College of Economic & Management, China Three Gorges University, Yichang 443002, China)

Abstract

The sustainable development of the water–energy–food (WEF) system has gained global attention as a result of limited land resources, inadequate energy supply and growing water stress. Coordination degree is an important indicator to measure the sustainable development of the WEF system. Improving the coordination degree contributes to the sustainable development of the WEF system and affects regional economic development. The extended Cobb–Douglas function is applied to examine the relationship between coordination degree of the WEF system and regional economic development in 31 provinces of China during the period of 2007–2018. By using the system generalized method of moments (GMM) estimation, empirical results indicate that in the regions with low coordination degree, improved coordination degree of the WEF system will hinder regional economic growth. In the regions with high coordination degree, it will promote regional economic growth. The results indicate that there is a lag period for the influence of improved coordination degree on regional economic growth. When making resources management policies, shortening the lag period is conducive to achieving sustainable development and promoting regional economic development. Governments of various regions should formulate different resource management policies based on the conditions of each region and the different relationships between coordination degree of the WEF system and regional economic development.

Suggested Citation

  • Shasha Xu & Weijun He & Liang Yuan & Dagmawi Mulugeta Degefu & Yang Yang & Hua Li, 2021. "The Relationship between Coordination Degree of the Water–Energy–Food System and Regional Economic Development," Sustainability, MDPI, vol. 13(3), pages 1-14, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1305-:d:487694
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    References listed on IDEAS

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    1. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Nhamo, L. & Mabhaudhi, T. & Mpandeli, S. & Dickens, Chris & Nhemachena, C. & Senzanje, A. & Naidoo, D. & Liphadzi, S. & Modi, A. T., 2020. "An integrative analytical model for the water-energy-food nexus: South Africa case study," Papers published in Journals (Open Access), International Water Management Institute, pages 109:15-124..
    3. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    4. Unknown, 2016. "Energy for Sustainable Development," Conference Proceedings 253270, Guru Arjan Dev Institute of Development Studies (IDSAsr).
    5. Dagmawi Mulugeta Degefu & Weijun He & Liang Yuan & Jian Hua Zhao, 2016. "Water Allocation in Transboundary River Basins under Water Scarcity: a Cooperative Bargaining Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4451-4466, September.
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