Based on the panel data of Changjiang Economic Corridor (CEC), this paper includes agricultural carbon emissions as an unwanted output into the evaluation index system for agricultural carbon emissions performance (ACEP), and measured the ACEP of the 11 provinces in the CEC of 2005–2018, using the minimum distance to weak efficient frontier (MinDW) model. In addition, a Tobit model was constructed for empirical analysis on the impactors of CEC ACEP. The results show that: In general, the CEC achieved an excellent ACEP, with certain differences between the provinces; the ACEP trends varied between the upper, middle, and lower reaches of the CEC, and the lower reaches had a much higher ACEP than the upper and middle reaches; the results of Tobit model demonstrate that industrial upgrading and rural power consumption have significant positive correlations with CEC ACEP, while human capital, planting structure, and agricultural disaster have significantly negative correlations with CEC ACEP.

本文基于长江经济走廊（CEC）面板数据，将农业碳排放作为无用输出纳入农业碳排放绩效评价指标体系（ACEP），并测算了2005年CEC中11个省份的ACEP –2018，使用最小距离弱有效前沿（MinDW）模型。此外，还构建了 Tobit 模型，对 CEC ACEP 的影响因素进行实证分析。结果表明：总体而言，CEC取得了较好的ACEP，各省之间存在一定差异；CEC上、中、下游ACEP变化趋势不同，下游的ACEP远高于上、中游；