Research on the Equalization of Public Service for China Based on the Theil Index and K-Means Algorithm

• DOI: 10.1145/3656766.3656971
• Publication Date: 2024-06-01T22:34:34Z
• Authors: Kang Sun; Jingyun Xu; Tongyuan Bai; Ping Xu; Shuai Xue
• Keywords: Theil index

This study addresses the critical issue of public service equalization in China. The research aims to evaluate and understand essential services. methodology involves a novel application Theil Index K-Means clustering algorithm. Data was sourced from official government websites. employed quantify disparities distribution algorithm used classify cities within Guangdong Province into four groups. findings indicate noticeable differences provision services across 2000 2021 reveal specific trends patterns that lead clusters. paper offers targeted recommendations for each city category can enhance Province.