Promoting the green development of agriculture is the basic guarantee for the sustainability of agricultural development. It measured agricultural green development through the global GML index method， and on the basis of testing the spatial relevance of agricultural green development， constructed a spatial lag model system to analyze the influences of command-control， market-incentive and voluntary environmental regulations on agricultural green development and their direct and indirect spatial effects. The results show that： China’s agricultural green development relies on the “single-drive” drive of green technological progress； agricultural green development is not randomly distributed in space， and there is a positive correlation between “high-high” and “low-low” agglomeration； command-control environmental regulation has a significant U-shaped impact on agriculture green development in this region and the adjacent areas； the impact of market-incentive environmental regulation tools on the local and neighboring regions is not significant； voluntary public environmental regulations play a positive role in promoting agriculture green development in the local and neighboring regions. It discusses the impact of environmental regulation on agricultural green development from the perspective of heterogeneity and space， and expands the research on the relationship between environmental regulation and agricultural green development， which has enlightening significance for the formulation of agricultural green development policies.