Analysis of Driving Factors and Regional Heterogeneity in the Spatiotemporal Changes of Maize Self-Sufficiency Rate in China
This study measures the maize self-sufficiency rate in China and its regions from 1999 to 2022,ana-lyzing its spatiotemporal patterns and trends.Using the spatial Dubin model,the driving factors of China's maize self-sufficiency rate are analyzed,and regional heterogeneity is tested.The research shows that,China's maize self-sufficiency rate showed a fluctuating downward trend with obvious stage and regional characteristics during the peri-od.Technical factors are the main factors affecting the changes of maize self-sufficiency rate in China.Production factors significantly influence the Northeast,Central China,Southwest,and Northwest regions,while economic fac-tors notably impact East and South China.Policy factors largely affect the spatiotemporal patterns of maize self-suffi-ciency across all six regions,with technical factors being the most significant.In this regard,it is recommended to fo-cus on the spatial interaction effect of maize self-sufficiency;increase investment in science and technology,the re-gion targeted to improve maize yield per unit area and reduce costs and other related policy recommendations.