Abstract Based on the panel data of 31 provinces in China from 1997 to 2018, this paper uses the window DEA model to measure the inter-provincial agricultural eco-efficiency, utilizes social network and module analysis methods to empirically investigate the spatial correlation characteristics of inter-provincial agricultural eco-efficiency, and analyzes its driving factors through the secondary assignment model. The study shows that the spatial correlation of inter-provincial agricultural eco-efficiency in China has obvious network characteristics. And Shanghai, Tianjin and Chongqing are in the core position in the network, which plays a leading role in the improvement of agricultural eco-efficiency. Block model analysis shows that the agricultural eco-efficiency of the four plates interact closely, with the feature of significant national linkage effect. The results of module analysis show that there are a large number of non-equilibrium associations in the spatial association network of agricultural ecological efficiency in China. The QAP regression results show that similar agricultural economic development level, agricultural marketization degree and agricultural technology innovation level are conducive to the formation of spatial correlation network of agricultural eco-efficiency.
ZHENG Yun,HUANG Jie. A Study on the Characteristics and Driving Factors of Spatial Correlation Network of Agricultural Ecological Efficiency in China. Economic Survey, 2021, 38(6): 032.
2021, Vol. 38 
