Agglomeration evolution and mechanism of feed grain production in China:Based on dynamic spatial Durbin model
To observe the dynamic changes in the silage corn production,the study was based on panel data from 30 provinces in China from 2001 to 2021,and used a center of gravity model to analyze the changes in the silage corn production agglomeration areas.On this basis,the dynamic spatial Durbin model was used to analyze the impact of factor input,socio-economic and policy support on regional changes in Chinese silage corn production.The results showed that there was a spatial clustering phenomenon in Chinese silage corn,which meant that the Moran index of Chinese silage corn production from 2001 to 2021 showed an overall development trend of'decreasing-increasing-decreasing-increasing'.The evolution trajectory of the production center showed that the center of gravity in the Chinese silage corn production area showed an evolution trend of'first northeast,then northwest,and southwest'.The results of the mechanism of action indicated that the main driving factors for promoting the production of silage corn were grain advantages,financial support,and increased income from migrant workers.The production infrastructure,fertilizer application,and agricultural benefits had a positive impact on the production of silage corn in this province,but the impact on the production of silage corn in neighboring provinces was not significant.
silage cornproduction scaleevolution trajectory of center of gravitydynamic spatial Durbin model
万方数据
维普
