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Spatiotemporal Evolution of Water Resource Utilization and Economic Development in the Arid Region of China: A “Matching-Constraint” Perspective

Author

Listed:
  • Junyu Ding

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Yongping Bai

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Xuedi Yang

    (College of Resources and Environment, Lanzhou University, Lanzhou 730000, China)

  • Zuqiao Gao

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

Abstract

Water resources are the most important guarantees for sustainable socioeconomic development in arid regions. However, serious water scarcity puts great pressure on the sustainable development of the northwest arid region of China. Based on the “matching-constraint” perspective, this study used the Gini coefficient, imbalance index, and growth drag model of water resources to quantify the spatiotemporal evolution of water resource utilization (WRU) and economic development (ED) in the northwest arid region from 2009 to 2019. The results showed the following: (1) The matching degree of WRU and ED in Gansu and Xinjiang from 2009 to 2019 was poorer than that in Ningxia, Shaanxi, and Qinghai. Cities with the high matching type of WRU and ED were dominant, with a proportion of 60.78%. (2) During the study period, the growth drag of water resources showed an “N-shaped” change of “rising–declining–rising” and a spatial pattern of “decreasing from inland to coastal” in the northwest arid region. The average growth drag coefficients for the five northwestern provinces were as follows: Xinjiang (2.22%), Gansu (1.61%), Ningxia (1.41%), Qinghai (1.01%), and Shaanxi (0.84%). The total percentage of low and medium constraint type cities was 74.51%. (3) Based on the urban “matching-constraint” types, the WRU status was divided into four zone types: Zones I and IV had relatively well-allocated water resources; however, zone IV had more significant water resource constraints, with the growth drag coefficient ranging from 1.10% to 2.30%. An imbalance between WRU and ED existed in Zones II and III; moreover, the water resource constraints of these two zones were also significant, with growth drag coefficients ranging from 0.12% to 1.47% and 1.03% to 2.90%, respectively. Additionally, we explored the driving mechanisms of WRU and sustainable ED in the northwest arid region. Policy recommendations are proposed for the optimal use of water resources, capital, and labor for different types of cities.

Suggested Citation

  • Junyu Ding & Yongping Bai & Xuedi Yang & Zuqiao Gao, 2022. "Spatiotemporal Evolution of Water Resource Utilization and Economic Development in the Arid Region of China: A “Matching-Constraint” Perspective," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8724-:d:864382
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    References listed on IDEAS

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    1. Tom Gleeson & Yoshihide Wada & Marc F. P. Bierkens & Ludovicus P. H. van Beek, 2012. "Water balance of global aquifers revealed by groundwater footprint," Nature, Nature, vol. 488(7410), pages 197-200, August.
    2. Yuchen Pan & Li Ma & Hong Tang & Yiwen Wu & Zhongjian Yang, 2021. "Land Use Transitions under Rapid Urbanization in Chengdu-Chongqing Region: A Perspective of Coupling Water and Land Resources," Land, MDPI, vol. 10(8), pages 1-21, August.
    3. Krishna Malakar & Trupti Mishra & Anand Patwardhan, 2018. "Inequality in water supply in India: an assessment using the Gini and Theil indices," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(2), pages 841-864, April.
    4. Bruvoll, Annegrete & Glomsrod, Solveig & Vennemo, Haakon, 1999. "Environmental drag: evidence from Norway," Ecological Economics, Elsevier, vol. 30(2), pages 235-249, August.
    5. William D. Nordhaus, 1992. "Lethal Model 2: The Limits to Growth Revisited," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 23(2), pages 1-60.
    6. Yan, Dong & Chen, Lin & Sun, Huaiwei & Liao, Weihong & Chen, Haorui & Wei, Guanghui & Zhang, Wenxin & Tuo, Ye, 2022. "Allocation of ecological water rights considering ecological networks in arid watersheds: A framework and case study of Tarim River basin," Agricultural Water Management, Elsevier, vol. 267(C).
    7. Ma, Weijing & Meng, Lihong & Wei, Feili & Opp, Christian & Yang, Dewei, 2021. "Spatiotemporal variations of agricultural water footprint and socioeconomic matching evaluation from the perspective of ecological function zone," Agricultural Water Management, Elsevier, vol. 249(C).
    8. Yang, Guiyu & Li, Shuoyang & Wang, Hao & Wang, Lin, 2022. "Study on agricultural cultivation development layout based on the matching characteristic of water and land resources in North China Plain," Agricultural Water Management, Elsevier, vol. 259(C).
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