School of Politics and Public Administration, Qingdao University, Qingdao, China.
School of Statistics, Southwestern University of Finance and Economics, Chengdu, China.
Int J Public Health. 2023 Jul 27;68:1605938. doi: 10.3389/ijph.2023.1605938. eCollection 2023.
The aim of this study was to explore the mechanism between public services and residents' health, focusing on the role of spatial geographical factors. Leveraging a comprehensive panel dataset encompassing 30 mainland Chinese provinces from 2007 to 2019, this study engineered a spatial Durbin model furnished with dual fixed effects through the application of the Lagrange multiplier, Hausman, and likelihood ratio tests. The primary objective was to delve into the repercussions of varying public service levels on residents' health outcomes. The empirical findings reveal a palpable spatial autocorrelation between residents' health outcomes and the public services levels dispensed across Chinese provinces. Intriguingly, an elevation in the public service level in a given province not only ameliorates its residents' health outcomes but also triggers a spatial spillover effect, thereby positively influencing residents' health in neighboring provinces. The rigorous endogeneity and robustness checks affirm the reliability of the principal outcomes. Due to the increase in social uncertainty, all regions should break free of the administrative monopoly, enhance regional integration and development, and improve residents' health status by clustering public service supply.
本研究旨在探讨公共服务与居民健康之间的关系，重点关注空间地理因素的作用。本研究利用了 2007 年至 2019 年涵盖中国大陆 30 个省份的综合面板数据集，通过应用拉格朗日乘数、豪斯曼和似然比检验，构建了一个带有双重固定效应的空间杜宾模型。主要目的是探讨不同公共服务水平对居民健康结果的影响。实证结果表明，居民健康结果与中国各省份提供的公共服务水平之间存在明显的空间自相关。有趣的是，给定省份公共服务水平的提高不仅改善了其居民的健康结果，而且还引发了空间溢出效应，从而对邻近省份居民的健康产生积极影响。严格的内生性和稳健性检验证实了主要结果的可靠性。由于社会不确定性的增加，所有地区都应打破行政垄断，加强区域一体化和发展，并通过集中公共服务供应来提高居民的健康状况。
