Research on the spatial spillover effect of the level of agricultural mechanization on the technical efficiency of grain production in China:Based on the perspective of agricultural machinery cross-regional operation

The improvement of agricultural mechanization level is an important part of the implementation of the national strategy of “food crop production based on technological application”.This paper uses the panel data of 31 provinces（municipalities and autonomous regions）in China from 1998 to 2020 and uses the spatial Dubin model to study the direct impact of agricultural mechanization level on the technical efficiency of grain production and the spatial spillover effects.The research showed that:Firstly,the level of agricultural mechanization has a significant spatial spillover effect on the technical efficiency of grain production.Under the condition that other factors remain unchanged,the weighted value of the technical efficiency of grain production in other regions will increase by about 0.579% for every 1% increase in the local technical efficiency of grain production.Secondly,from the perspective of different types of agricultural machinery,the spatial spillover effect of agricultural mechanization on the technical efficiency of grain production is mainly realized by large and medium-sized agricultural machinery,with an impact coefficient of 0.252.Thirdly,the spatial spillover effect of agricultural mechanization level on the efficiency of grain production machinery exists between different longitudes and latitudes.In the rice cross-regional operation provinces,the spatial spillover effect of agricultural mechanization level on the technical efficiency of grain production is 0.027.Therefore,this paper proposes to expand the time difference between planting,growth and harvesting of grain crops in different regions by further optimizing cross-regional operation models of agricultural machinery,improving grain varieties,and improving field management techniques,so as to create conditions for cross-regional operations of agricultural machinery and maximize resource benefits.