【摘要】 推动农业可持续发展离不开金融支持，而做好绿色金融大文章是推动农业低碳转型和服务农业高质量发展的重要抓手。基于2008—2023年中国30个省份的面板数据，综合运用熵权法、空间自相关分析与空间杜宾模型，系统考察绿色金融对农业碳排放的影响，重点分析其空间效应、区域异质性及内在作用机制。结果表明，绿色金融能显著降低农业碳排放，并且其减碳效果存在正向的空间溢出效应；绿色金融发展对东部地区农业碳减排的影响比中西部地区更为显著，表现出区域异质性；绿色金融通过优化能源使用结构、促进农业产业融合等机制实现区域农业碳减排。据此，建议在农业绿色转型过程中要充分发挥绿色金融的减碳效应，因地制宜推进绿色金融发展，并拓宽绿色金融支持农业碳减排的机制与路径。更多还原

【Abstract】 Promoting sustainable agricultural development relies fundamentally on financial support,and advancing green finance constitutes a crucial pathway for facilitating agricultural low-carbon transformation and high-quality growth.Based on panel data from 30 provinces in China from 2008 to 2023,this study employs the entropy weight method,spatial autocorrelation analysis,and the spatial Durbin model (SDM) to empirically examine the impact of green finance on agricultural carbon emissions,with a particular focus on its spatial effects,regional heterogeneity,and underlying mechanisms.The results reveal that green finance significantly reduces agricultural carbon emissions and exhibits a pronounced positive spatial spillover effect.The carbon reduction effect of green finance is more substantial in eastern China than in central and western regions,indicating strong regional heterogeneity.Moreover,green finance promotes agricultural carbon reduction primarily by optimizing the energy structure and fostering the integration of agricultural industries.Accordingly,it is recommended that efforts to advance agricultural green transformation fully leverage the carbon reduction potential of green finance,promote region-specific development strategies,and establish a multi-level,broad-coverage financial support system to expand the mechanisms and pathways through which green finance contributes to agricultural carbon mitigation.更多还原