Research on regional competitiveness of China's feed industry and analysis of its influencing factors
Using the entropy weight TOPSIS method,spatial autocorrelation analysis method,and geographic detector tools,this study aims to investigate the spatiotemporal evolution patterns and influencing factors of China's feed industry regional competitiveness level from 2012 to 2023.The results show that the regional competitiveness level of China's feed industry showed a slow increasing trend from 2012 to 2023,but there were significant regional differences;From a spatial perspective,there is a significant positive correlation between the regional competitiveness levels of China's feed industry,and regions with similar indices show a significant clustering trend at the spatial level.From the perspective of influencing factors,the degree of openness of the feed industry to the outside world and the degree of government support for the feed industry are the main factors that lead to the differentiation of regional competitiveness in China's feed industry.Based on this,measures are proposed to improve the regional guarantee system of the feed industry,achieve balanced development of regional competitiveness in the feed industry,and coordinate and integrate production resources in the feed industry,in order to provide theoretical and empirical references for enhancing the regional competitiveness level of China's feed industry.
regional competitiveness of the feed industryspatial autocorrelation analysisinfluencing factorsgeographic detector
国家科技期刊平台
NSTL
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