Evaluating food safety in China: regional disparities and dynamic evolution

Engineering notes

Key topics: autonomous driving. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

Background Food safety remains a critical global concern, and assessing regional food safety performance is essential for effective policy design. However, systematic evidence on regional disparities and their evolution in China remains limited. Methods Grounded in stakeholder theory, this study constructs a multidimensional framework encompassing producers, government regulation, and social harm. Using panel data from 30 Chinese provinces (2016–2021), food safety performance is measured using the entropy-weighted TOPSIS method, while regional disparities and their dynamics are analyzed through Dagum Gini decomposition and kernel density estimation. Results Food safety performance exhibits a steady upward trend, with the composite index increasing from 0.070 to 0.189. The spatial pattern follows “Eastern > Western > Northeastern > Central,” with the Central region lagging behind. Regional disparities have widened over time, driven primarily by inter-regional differences. Kernel density results indicate overall improvement accompanied by increasing dispersion, with weakening polarization in the Eastern and Western regions but a contrasting trend in the Central region. Conclusion Although food safety performance in China has improved, significant regional disparities persist. More targeted and region-specific policy interventions are needed to enhance governance effectiveness.

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