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Impact of Water and Land Resources Matching on Agricultural Sustainable Economic Growth: Empirical Analysis with Spatial Spillover Effects from Yellow River Basin, China

Author

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  • Yujiao Zhou

    (School of Economics, Southwestern University of Finance and Economics, Chengdu 611130, China)

  • Weifeng Li

    (PBC School of Finance, Tsinghua University, Beijing 100084, China)

  • Huihui Li

    (Guangdong Rural Credit Union, Guangzhou 510627, China)

  • Zhen Wang

    (School of Business Administration, Southwestern University of Finance and Economics, Chengdu 611170, China)

  • Bei Zhang

    (College of Economics & Management, Beijing University of Technology, Beijing 100124, China)

  • Kaiyang Zhong

    (School of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu 611130, China)

Abstract

Water and land resources are related to the security and stability of agricultural production, and the degree of matching in time and space directly affects regional agricultural production capacity and sustainable agricultural development. This paper intends to use the panel data of nine provinces in the Yellow River Basin from 2000 to 2019 and incorporate the static and dynamic spatial Durbin models with spatial effects under the geographical adjacency matrix and the comprehensive weight matrix of economic geography, so as to explore the direct effects and indirect effects, short-term effects and long-term effects of the matching coefficient of agricultural water and land resources on the agricultural economic growth in the Yellow River Basin. The results show the following: (1) The matching situation of agricultural water and land resources in different provinces along the Yellow River Basin are different; some are relatively short of water resources, some are relatively balanced in water and land resources, and some are relatively short of land resources. (2) The static spatial Durbin model shows that the direct effect of the matching coefficient of agricultural water and land resources on the agricultural economic growth of the province is not significant; the indirect effect and the total effect of the spatial spillover is significantly positive. (3) The dynamic spatial Durbin model under the two matrix forms shows that the short-term total effect of the matching coefficient of agricultural water and land resources on agricultural economic growth is significantly positive, while the long-term total effect is significantly negative, and the direction and degree of the short-term and long-term effects are inconsistent. This study provides a comprehensive analysis framework from the perspective of local and neighborhood effect, and short-term and long-term effect, which can provide a reference to reasonably adjust the matching of agricultural water and land resources to promote agricultural sustainable economic growth, especially for developing countries.

Suggested Citation

  • Yujiao Zhou & Weifeng Li & Huihui Li & Zhen Wang & Bei Zhang & Kaiyang Zhong, 2022. "Impact of Water and Land Resources Matching on Agricultural Sustainable Economic Growth: Empirical Analysis with Spatial Spillover Effects from Yellow River Basin, China," Sustainability, MDPI, vol. 14(5), pages 1-25, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2742-:d:759108
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    References listed on IDEAS

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    1. Riquelme, Francisco J. Montero & Ramos, Antonio Brasa, 2005. "Land and water use management in vine growing by using geographic information systems in Castilla-La Mancha, Spain," Agricultural Water Management, Elsevier, vol. 77(1-3), pages 82-95, August.
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    Cited by:

    1. Cong Liu & Wenlai Jiang & Yang Liu & Yunfei Liu, 2023. "Evaluation for Water and Land Resources System Efficiency and Influencing Factors in China: A Two-Stage Network DEA Model," Land, MDPI, vol. 12(2), pages 1-18, February.
    2. Yun Qing & Bingjian Zhao & Chuanhao Wen, 2023. "The Coupling and Coordination of Agricultural Carbon Emissions Efficiency and Economic Growth in the Yellow River Basin, China," Sustainability, MDPI, vol. 15(2), pages 1-20, January.
    3. Minglin Wang & Si Tan & Yunzhe Wang & Zhengxia He & Shaolong Zeng, 2023. "The Spatial Spillover Effect of Clean Energy Development on Economic Development: A Case of Theoretical and Empirical Analyses from China," IJERPH, MDPI, vol. 20(4), pages 1-19, February.
    4. Yushi Zhang & Tianhang Jiang & Jun Sun & Zitian Fu & Yanfeng Yu, 2022. "Sustainable Development of Urbanization: From the Perspective of Social Security and Social Attitude for Migration," Sustainability, MDPI, vol. 14(17), pages 1-15, August.
    5. Zhenggen Fan & Qingqing Luo & Hu Yu & Ji Liu & Wentong Xia, 2023. "Spatial–Temporal Evolution of the Coupling Coordination Degree between Water and Land Resources Matching and Cultivated Land Use Eco-Efficiency: A Case Study of the Major Grain-Producing Areas in the ," Land, MDPI, vol. 12(5), pages 1-18, April.

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