【摘要】 农业绿色全要素生产率的提高有助于农业绿色化转型与可持续性发展。基于2006—2020年中国30个省份数据，选择SBM-ML指数法，利用MaxDEA软件测算农业绿色全要素生产率，使用系统GMM模型与动态面板门槛模型实证检验农产品贸易对农业绿色全要素生产率的影响。研究发现：农产品贸易能够有效提升农业绿色全要素生产率并且其影响效应存在区域异质性，在东部地区较为显著；农产品贸易对农业绿色全要素生产率的影响存在地区经济发展水平的门槛效应，地区经济发展水平越高，农产品贸易对农业绿色化发展的正向溢出作用越明显。因此，各省份要推动农产品贸易的持续健康发展，政府应当依照地区贸易发展状况与经济发展水平因地制宜地制定有关农产品贸易政策，充分发挥农产品贸易的正向溢出作用，促进农业绿色发展。更多还原

【Abstract】 The improvement of agricultural green total factor productivity is conducive to agricultural green transformation and sustainable development. Based on the data of 30 provinces in China from 2006 to 2020, this paper selects the SBM-ML index method, uses MaxDEA software to measure agricultural green total factor productivity, and uses the systematic GMM model and the dynamic panel threshold model to empirically test the impact of agricultural trade on agricultural green total factor productivity. The results show that agricultural trade can effectively improve agricultural green total factor productivity, and its effect has regional heterogeneity, which is more significant in the eastern region. The influence of agricultural products trade on agricultural green total factor productivity has threshold effect of regional economic development level. The higher the regional economic development level, the more obvious the positive spillover effect of agricultural products trade on agricultural green development. Therefore, in order to promote the sustainable and healthy development of agricultural trade in each province, the government should formulate relevant agricultural trade policies according to its trade development status and economic development level, give full play to the positive spillover effect of agricultural trade, and promote the green development of agriculture.更多还原