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Spatio-Temporal Differentiation of Non-Grain Production of Cropland and Its Influencing Factors: Evidence from the Yangtze River Economic Belt, China

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  • Kun Zeng

    (College of Geographic Science, Qinghai Normal University, Xining 810008, China
    School of Geographical Sciences, China West Normal University, Nanchong 637009, China
    Sichuan Key Laboratory of Colleges and Universities for Integrated Utilization Engineering of Land Resources in Hilly Areas, China West Normal University, Nanchong 637009, China)

  • Youlong Zhai

    (School of Geographical Sciences, China West Normal University, Nanchong 637009, China
    Sichuan Key Laboratory of Colleges and Universities for Integrated Utilization Engineering of Land Resources in Hilly Areas, China West Normal University, Nanchong 637009, China)

  • Liangsong Wang

    (College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China)

  • Youhan Wang

    (School of Geographical Sciences, China West Normal University, Nanchong 637009, China
    Sichuan Key Laboratory of Colleges and Universities for Integrated Utilization Engineering of Land Resources in Hilly Areas, China West Normal University, Nanchong 637009, China)

Abstract

Food security is important to guarantee national security and people’s livelihoods, but the increasingly serious problem of non-grain production (NGP) on croplands has exacerbated the risk of food security and directly affected the sustainable development of the national economy and society. This study adopted 130 cities (states) in the Yangtze River Economic Belt as the research units and used ArcGIS10.8, GeoDA1.22, and Origin2022 software and spatial autocorrelation, standard deviational ellipse, and GeoDetector methods to conduct analyses. This study explored the spatial evolution patterns and factors influencing cropland NGP in the Yangtze River Economic Belt. The results show, firstly, that the NGP rate of cropland in the Yangtze River Economic Belt increased from 35.85% in 2006 to 38.62% in 2022. The number of cities (states) with mild and moderate NGP decreased, while the number of cities (states) with severe NGP increased significantly. Secondly, the spatial distribution of the rate of cropland NGP in the Yangtze River Economic Belt had a strong positive correlation, with “high–high agglomeration” tending to be dispersed, “low–low agglomeration” tending to be concentrated, and the overall trajectory of the center of gravity migrating from the northeast to the southwest. Thirdly, the single-factor detection found that the per capita food possession, slope, elevation, and average annual precipitation had strong explanatory power regarding the spatial difference in cropland NGP in the Yangtze River Economic Belt, and the interaction of any two influencing factors showed nonlinear enhancement. The results of this study can help to precisely identify the spatial and temporal evolution characteristics of cropland NGP in the Yangtze River Economic Belt, which is of great significance for supporting the country in controlling the risk of NGP cultivation, promoting the sustainable development of the Yangtze River Economic Belt, and guaranteeing food security.

Suggested Citation

  • Kun Zeng & Youlong Zhai & Liangsong Wang & Youhan Wang, 2024. "Spatio-Temporal Differentiation of Non-Grain Production of Cropland and Its Influencing Factors: Evidence from the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 16(14), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:14:p:6103-:d:1436972
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    References listed on IDEAS

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    1. Su, Yue & Qian, Kui & Lin, Lin & Wang, Ke & Guan, Tao & Gan, Muye, 2020. "Identifying the driving forces of non-grain production expansion in rural China and its implications for policies on cultivated land protection," Land Use Policy, Elsevier, vol. 92(C).
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    1. Guiming Wu & Bing Xia & Suocheng Dong & Jing Zhang & Zehong Li & Guiqing Yang, 2024. "Spatio-Temporal Differentiation and Driving Factors of County-Level Food Security in the Yellow River Basin: A Case Study of Ningxia, China," Land, MDPI, vol. 13(11), pages 1-19, November.

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