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摘要
【目的】农业面源污染尤其是种植业面源污染,成为水环境首要致污因素,推动农业绿色发展势必要重视水污染治理成效。研究经济门槛下水污染治理与农业生态效率的关系,有助于探索农业绿色发展的更优策略。【方法】首先构建三阶段非期望产出SBM模型,核算剔除外部环境与随机误差干扰的农业生态效率,然后采用面板门槛效应模型估计水污染治理与农业生态效率的差异性关联关系,并计算出具体的经济门槛值。【结果】结果显示:不同的农村经济水平下,水污染治理与农业生态效率呈非线性关系,存在双重门槛效应,对应门槛值分别为8 796元和12 897元。【结论】结果表明:农村经济水平等外部环境因素干扰农业生态效率核算结果;农村经济富裕程度越高,水污染治理与农业生态效率关系越协调。因此,各省(自治区、直辖市)应根据农村经济所处具体阶段,灵活调整农业绿色发展策略优先级,确保水污染治理措施的有效性和针对性。
Abstract
[Objective] In order to examine the crucial role of water pollution control in promoting green agricultural development,given its primary status as a water environmental pollutant, by exploring the relationship between water pollution control and agricultural eco-efficiency under economic thresholds, the optimize green agricultural development strategies were seeked.[Methods] Using a three-stage SBM model, the agricultural eco-efficiency was caloulated, which was eliminated the influences of external environments and random errors. A threshold effect model then assesses the differential association between water pollution control and eco-efficiency, identifying specific economic thresholds. [Results] Result reveal a nonlinear relationship characterized by a dual-threshold effect, with thresholds at 8 796 yuan and 12 897 yuan, respectively, across rural economic levels. [Conclusion] It is concluded that external factors like rural economic prosperity significantly affect eco-efficiency estimates, and greater economic affluence leads to a more harmonious relationship between water pollution control and ecoefficiency. Consequently, regions should adjust green agricultural strategies′ priorities based on their rural economic stages to ensure the effectiveness and targeted application of water pollution control measures.
关键词
水环境
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水污染治理
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农业生态效率
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门槛效应模型
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农村经济水平
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三阶段SBM模型
Key words
water invironment
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water pollution control
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agricultural eco-efficiency
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threshold effect model
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rural economic level
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three-stage SBM model
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张玲玲,黎娜.
水污染治理与农业生态效率关系研究:基于经济门槛视角[J].
水利水电技术(中英文), 2025, 56(2): 168-178 DOI:10.13928/j.cnki.wrahe.2025.02.014
基金资助
国家自然科学基金(72074068)
国家自然科学基金(U2240223)
江苏省社科基金重点项目(22SHA003)
中央高校基本科研业务费专项资金资助项目(B230207025)