Zhongguo quanke yixue (Jul 2024)

Study on the Spatial Distribution and Influencing Factors of Basic Endowment Insurance for Uban and Rural Residents in China Under the Background of Healthy Aging

  • CHEN Junli, WANG Lu, REN Jianxue, JING Qi, SHENG Hongqi, GAO Qianqian, CAI Weiqin, MA Anning

DOI
https://doi.org/10.12114/j.issn.1007-9572.2023.0258
Journal volume & issue
Vol. 27, no. 19
pp. 2382 – 2387

Abstract

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Background The "Fourteenth Five-Year Plan for Healthy Aging" proposes to promote the realization of healthy aging, which not only requires the elderly to be healthy, but also pays attention to the security. With the deepening of the aging society, there is a significant gap in the level of participation of the current pension insurance system for urban and rural residents in various provinces. Under this background, it is of great significance to study the endowment insurance system. Objective To describ the spatial distribution of the basic old-age insurance participation level of urban and rural residents in 31 provinces in China from 2013 to 2020, to observe the spatial correlation and difference of the participation level among provinces, to analyze the relevant influencing factors, and to provide suggestions for the government and medical and health administrative departments to formulate the old-age insurance policy. Methods The data for this study is sourced from the China Statistical Yearbook from 2014 to 2021. The level of participation in urban and rural residential insurance is calculated based on the ratio of the number of urban and rural residents participating in basic pension insurance by region in the public management, social security, and social organization modules to the end of year population in the population clump. The various indicators of influencing factors are all from the 2014-2021 China Statistical Yearbook. Using ArcGIS 10.8 statistical analysis software, the basic pension insurance participation levels of urban and rural residents in 31 provinces were matched with provincial administrative divisions in China. Descriptive research and analysis were conducted on the differences in pension insurance participation levels among 31 provinces. Using methods such as global spatial autocorrelation and Getis Ord Gi * local hotspots, the spatial correlation and hot and cold spots of participation levels were studied, Study the relevant influencing factors by combining geographic detectors. Results Overall, from 2013 to 2020, the number and level of urban and rural resident insurance participants in China had been continuously increasing year by year; from a vertical structure perspective, there were significant differences in the level of insurance participation among provinces; from a horizontal perspective, from 2013 to 2020, the growth rate of most provinces was positive. The participation level of basic pension insurance for urban and rural residents in 31 provinces of China from 2013 to 2020 had spatial correlation. The central provinces were hot areas, while Shanghai is a cold area. The influencing factors on the participation rate were economic development factors, social development factors, policy factors, and cultural and educational factors in descending order. Conclusion The overall level of participation in basic pension insurance for residents has been increasing year by year, but there are differences in the level of participation and growth rate among provinces. The level of economic development is an important factor affecting the level of participation in basic pension insurance for residents.

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