Spatiotemporal evolution characteristics and influencing factors analysis of regional disparities in feed grain supply in China.

The article aims to explore the spatiotemporal evolution characteristics and influencing factors of regional disparities in feed grain supply in China. Monthly panel data from 31 provinces in China from 2005 to 2021 were selected, and spatial autocorrelation and hot-cold spot analysis were employed to investigate the spatiotemporal evolution characteristics of regional disparities in feed grain supply. Furthermore, the Theil index and spatial Durbin model were utilized to analyze the driving factors in depth. The results show that both cold spots and hot spots in the feed grain supply exhibit a concentrated trend, and their local spatial correlations were significant. The spatial distribution pattern of feed grain supply reveals that the northern coastal areas were mostly 'low-low' aggregation zones, while the northeast, southeast coastal, and southwest regions were mostly 'high-high' aggregation zones. The Theil index and structural reasons analysis indicated a clear positive spatial spillover effect in feed grain supply, with intra-group differences being a key factor in regional disparities. The spatial Durbin model results demonstrate that the land productivity, transportation level, grain production machinery input, and feed grain processing level are crucial influencing factors for the feed grain supply. [ABSTRACT FROM AUTHOR]