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中国农机化学报

中国农机化学报 ›› 2025, Vol. 46 ›› Issue (7): 310-318.DOI: 10.13733/j.jcam.issn.2095-5553.2025.07.044

• 农业机械化综合研究 • 上一篇    下一篇

水资源安全与粮食生产韧性耦合协调特征及驱动因素研究——基于中国粮食主产区的实证

罗强,黄大金   

  1. (湖南农业大学经济学院,长沙市,410128)
  • 出版日期:2025-07-15 发布日期:2025-07-02
  • 基金资助:
    国家社会科学基金项目(20AJY012)

Coupling coordination and driving factors of water resources security and grain production resilience: An empirical analysis of Chinas major grain-producing regions

Luo Qiang, Huang Dajin   

  1. (School of Economics, Hunan Agricultural University, Changsha, 410128, China)
  • Online:2025-07-15 Published:2025-07-02

摘要: 水资源安全与粮食生产韧性协同发展对促进我国农业高质量发展,保障粮食安全具有重要意义。基于粮食主产区2004—2022年省域面板数据,构建水资源安全与粮食生产韧性综合评价指标体系,运用熵值法、耦合协调度模型和地理探测器等方法,定量探究粮食主产区水资源安全和粮食生产韧性的综合评价值、耦合协调特征及其驱动因素。结果表明:粮食主产区水资源安全状况与粮食生产韧性均得到提高;粮食主产区水资源安全与粮食生产韧性耦合协调度持续上升,由濒临失调转变为勉强协调,空间上呈“北高南低、两大集聚”分布;有效灌溉面积、年降水量、污水处理率、地方财政农林水事务支出和供水总量5项指标是促进两系统协调发展的主要因素,且各因素交互后解释力均增强。因此,粮食主产区在提高水资源利用效率的同时,需因地制宜探索水资源安全与粮食生产韧性协同发展模式,加快农业现代化转型。

关键词: 水资源安全, 粮食生产韧性, 耦合协调, 驱动因素

Abstract: The coordinated development of water resource security and grain production resilience is crucial for promoting high-quality agricultural development and ensuring food security in China. Using provincial panel data from major grain-producing regions between 2004 to 2022, a comprehensive evaluation index system was established to assess both water resource security and grain production resilience. The entropy method, coupling coordination degree model, and geographical detector were applied to quantitatively analyze the evaluation values, coupling coordination characteristics, and driving factors behind these two systems. The results revealed a general improvement in both water resource security and grain production resilience across the major grain-producing regions. The coupling coordination degree between the two systems has steadily increased, shifting from a state of near imbalance to one of tentative coordination. Spatially, the coordination followed a pattern described as “high in the north and low in the south, with two clusters”. Five key indicators were identified as primary drivers of coordinated development: effective irrigation area, annual precipitation, sewage treatment rate, local fiscal expenditure on agriculture, forestry, and water affairs and total water supply. The influence of these factors was found to increase when they interacted with each other. Therefore, to accelerate agricultural modernization, major grain-producing areas should not only improve water resource utilization efficiency but also tailor development models to local conditions in order to promote the integrated advancements of water security and grain production resilience.

Key words: water resource security, grain production resilience, coupling coordination, driving factors

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