Spatiotemporal Evolution,Regional Differences and Convergence of Agricultural Product Circulation Efficiency in China
The agricultural product circulation market is related to whether the supply and demand of agricul-tural products can be effectively connected,and its construction and efficiency level will directly affect China's food security and the completion of a unified national market.This paper uses the entropy method to measure the circulation efficiency of agricultural products in 31 provinces in China from 2011 to 2022,and analyzes the spatio-temporal evolution,regional differences and convergence of agricultural product circulation efficiency by using Mo-ran's I,kernel density estimation,Markov chain,Dagum Gini coefficient and σ and β convergence models.The re-sults showed that there was a significant positive spatial correlation between the circulation efficiency of agricultur-al products in China during the study period,and the characteristics of"high-high"agglomeration and"low-low"agglomeration were obvious.The width of the kernel density curve became larger,showing a bimodal pattern with obvious right tailing and height difference,indicating that the circulation efficiency of agricultural products was gradually improved,and there was a polarization trend in the region.The spatial lag level of neighboring provinces has a great impact on the circulation efficiency of agricultural products in the province to maintain the original state or develop to a higher level.Regional differences are the main reasons for the significant differences in the overall circulation efficiency of agricultural products.There is no σ convergence in the circulation efficiency of agri-cultural products,but there is a significant convergence of absolute β and conditional convergence β.Accordingly,this paper puts forward relevant policy suggestions on how to improve the circulation efficiency of agricultural prod-ucts and narrow the gap between regions.
efficiency of agricultural product circulationspatiotemporal evolutionspatial distributionregion-al differences
万方数据
维普
