Agricultural green development is an inevitable prerequisite of China' s ecological civilization construction. Moreover, technology innovation is the first lever to promote agricultural green development, and regional cooperation to reduce emissions is a significant trend for efficient emission reduction. To explore the ways of regionally coordinated emission reduction and identify the channels and directions of agricultural technology spillovers, based on the panel data of China's provinces and municipalities during 2007 -2017, as well as from a spatial viewpoint, this study combined the traditional Durbin model and the partitioned Durbin model. First, the traditional Durbin model was used to examine the causes of inter-regional agricultural carbon linkages, followed by exploring the ways of collaboration in agricultural carbon emission reduction between regions and ascertaining whether these ways were the direct interaction of strategies or agricultural technology spillovers. Then, based on the three criteria of human capital level, technology research and development (R&D) capability, and industrial agglomeration level, this study established a partitioned Durbin model to comprehensively analyze the directions of agricultural technology spillovers. Meanwhile, by selecting geographic weights, economic weights, and technological weights, we comprehensively assessed the conceivable channels for agricultural technology information spillovers. The results showed that:① Agricultural technology innovation and agricultural carbon emission presented 'upside down' in the time trend, the agriculture carbon intensity declined at an average annual rate of - 6. 6%, whereas the agricultural patent authorization intensity increased at an average annual rate of 19, 46%, and both were significant spatial positive aggregation. ② Regional agricultural carbon emission reduction had both strategic interaction and agricultural technology information spillovers, and the spillover channel was the technical difference between regions, whereas geographic distance and economic difference would not markedly influence the spatial spillovers of agricultural technology.③ From the standpoint of the directions of agricultural technology spillovers, there existed the phenomena of ' cooperation between strong performers, ' ' strong performers supporting the weak ones', and 'industrial cooperation effect'. Finally, the following suggestions are provided: each region should strengthen agricultural technology R&D and enhance the impact of technology emission reduction; each region should guide the flow of agricultural technology talents and play the ' knowledge spillover' effect; and the government should take the lead in promoting regional technology cooperation and regionally coordinated emission reduction. This study is expected to lay the foundation for scientifically guiding agricultural technology spillovers between regions and attaining agricultural cooperation emission reductions. [ABSTRACT FROM AUTHOR]