Spatio-Temporal Evolution Measurements for High-Quality Developmental Concepts in China's Emergency Industry

This paper establishes a high-quality development (HQD) evaluation index system for the emergency industry to analyze its spatio-temporal evolution. The entropy weighting method is applied to comprehensively assess the development level of China's emergency industry during the observation period. Results indicate that the overall HQD index follows an upward trajectory, although it remains relatively low (rising from 0.211 to 0.255). The 2020 regional analysis highlights a hierarchical pattern in industrial development: coastal regions (0.321)\,$>$\,inland regions (0.246)\,$>$\,border regions (0.153). The overall Gini coefficient has remained stable at 0.22. Specifically, coastal areas (0.19) and inland areas (0.16) exhibit notable disparities, whereas border regions show minimal variation (0.10). The Gini coefficient between coastal and Border regions increased from 0.31 to 0.36, whereas that between coastal and inland areas declined after 2011, falling from 0.29 to 0.23. Regional variation, accounting for 59% of the total, emerges as the primary source of inequality. The Moran index identifies a significant spatial autocorrelation, indicating clear spatial self-correlation in the development levels of China's emergency industry. Kernel density analysis further illustrates that the national development level has steadily improved. However, the industry as a whole does not exhibit $\sigma$-convergence. The novelty of this study lies in constructing an HQD index system for China's emergency industry and employing multiple analytical methods to examine its spatiotemporal evolution.