On the characteristics and drivers of spatial correlation network of green low-carbon agricultural production efficiency in the Yellow River Basin
Based on the data of 84 districts in the Yellow River Basin,the three-stage SBM-DEA model was used to measure green low-carbon agricultural production efficiency,social network analysis was used to analyze the structural characteristics of the spatial correlation network of green low-carbon agricultural production efficiency in the Yellow River Basin,and QAP model was used to explore the factors driving the spatial correlation network.The results indicate that:1)Green low-carbon agricultural production efficiency in the Yellow River Basin has significantly spatial correlation and spillover effects,and presents complex spatial network characteristics,but the correlation and stability of spatial correlation network need to be strengthened.2)Some areas in Shandong,Henan,Shanxi,and Inner Mongolia,have a higher centrality in network,and belong to the"leader"and"middleman"in the spatial correlation network.3)The spatial correlation network of green low-carbon agricultural production efficiency in the Yellow River Basin can be divided into four plates:net spillover,net benefit,two-way spillover,and broker.There are significant spillover effects within and between plates,and the spillover effects between plates have obvious transmission characteristics.4)Regional differences in agricultural economic development,economic development,the level of opening,rural residents'income,financial support,agricultural technology and spatial adjacency have significant effects on the formation and development of spatial correlation networks.
Yellow River Basingreen low-carbon agricultural production efficiencyspatial correlation network structuresocial network analysisdifferentiated development
NETL
NSTL
万方数据
