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<p>Evaluating how conservation tillage (CT) influences agricultural green production efficiency (AGPE) is critical for ensuring food security and advancing sustainable agriculture, particularly in ecologically fragile basins. This study examines the association between CT-related practices adoption and AGPE using data from 2373 farmers in the Yellow River Basin (YRB). It measures AGPE employing the SBM-Undesirable model and addresses potential endogeneity issues using the endogenous switching regression (ESR) model. We also examine how this relationship varies across different farmer endowments. Our findings indicate that: (1) AGPE reflects significant inefficiency, averaging 0.162. (2) The adoption of CT-related practices is positively associated with AGPE. Specifically, under the counterfactual scenario, if farmers who adopt CT-related practices were to stop using them, their AGPE would decrease by 0.061. If farmers who do not adopt CT-related practices were to switch to them, their AGPE would increase by 0.165. (3) The positive association between CT-related practices adoption and AGPE may be channeled through reduced input intensity and irrigation cost, as well as improved soil quality. (4) Farmers with higher education levels, larger operation scales, and a higher proportion of agricultural income tend to exhibit a stronger positive association between CT-related practices adoption and AGPE.</p>

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Unveiling the effect of conservation tillage on the agricultural green production efficiency: new insights from the Yellow River Basin

  • 期刊论文

  • 发表日期：

    2026年3月2日

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  • Yu Zhang,
  • Renhui Zhang,
  • Yue Cui,
  • Kai Zhao

摘要

Evaluating how conservation tillage (CT) influences agricultural green production efficiency (AGPE) is critical for ensuring food security and advancing sustainable agriculture, particularly in ecologically fragile basins. This study examines the association between CT-related practices adoption and AGPE using data from 2373 farmers in the Yellow River Basin (YRB). It measures AGPE employing the SBM-Undesirable model and addresses potential endogeneity issues using the endogenous switching regression (ESR) model. We also examine how this relationship varies across different farmer endowments. Our findings indicate that: (1) AGPE reflects significant inefficiency, averaging 0.162. (2) The adoption of CT-related practices is positively associated with AGPE. Specifically, under the counterfactual scenario, if farmers who adopt CT-related practices were to stop using them, their AGPE would decrease by 0.061. If farmers who do not adopt CT-related practices were to switch to them, their AGPE would increase by 0.165. (3) The positive association between CT-related practices adoption and AGPE may be channeled through reduced input intensity and irrigation cost, as well as improved soil quality. (4) Farmers with higher education levels, larger operation scales, and a higher proportion of agricultural income tend to exhibit a stronger positive association between CT-related practices adoption and AGPE.