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      Impact of the new rural social pension insurance on the health of the rural older adult population: based on the China health and retirement longitudinal study

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          Abstract

          The health issues of China’s older adult population in rural areas have been receiving increasing attention with the continuous expansion of the nation’s ageing population and the continuous promotion of urban–rural integration. The impact of the new rural social pension insurance (NRSPI) on the health of the rural older adult population, the mechanism of its action and how old-age service can be improved and optimised according to the health needs of the rural older adult population are urgent and realistic challenges. Based on survey data from the China Health and Retirement Longitudinal Study in 2015 and 2018, this study applies a multivariate ordered logistic regression model to explore the impact mechanism and effect of the NRSPI on the older adult population health in rural China while controlling for endogeneity. The results show that participation in the NRSPI can significantly improve the health of the rural older adult population at a 1% level. The results of the heterogeneity test reveal that the NRSPI has a significant impact on the self-reported health of the rural older adult at a 1% level, with a significantly positive impact on the mental and physical health of rural female older adult, whereas the impact on male older adult is not significant. The mediating effect test results show that medical services, food access and entertainment activities have a mediating effect on the new rural social endowment insurance. The results of the moderating effect test indicate that the NRSPI regulates 7.8% of the effect of physical health on mental health and 10.7% of the effect of mental health on physical health. Based on these findings, this study proposes to strengthen the construction of healthy lifestyle guidance and emotional support systems while improving the NRSPI’s participation rate and treatment level to meet the diverse health service needs of different older adult groups.

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          On the Concept of Health Capital and the Demand for Health

          Michael D Grossman (1972)
          Article 0 comments Cited 458 times – based on 0 reviews     Review now
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            Unfair inequalities in health and health care.

            Marc Fleurbaey, Erik Schokkaert (2008)
            Inequalities in health and health care are caused by different factors. Measuring "unfair" inequalities implies that a distinction is introduced between causal variables leading to ethically legitimate inequalities and causal variables leading to ethically illegitimate inequalities. An example of the former could be life-style choices, an example of the latter is social background. We show how to derive measures of unfair inequalities in health and in health care delivery from a structural model of health care and health production: "direct unfairness", linked to the variations in medical expenditures and health in the hypothetical distribution in which all legitimate sources of variation are kept constant; "fairness gap", linked to the differences between the actual distribution and the hypothetical distribution in which all illegitimate sources of variation have been removed. These two approaches are related to the theory of fair allocation. In general they lead to different results. We propose to analyse the resulting distributions with the traditional apparatus of Lorenz curves and inequality measures. We compare our proposal to the more common approach using concentration curves and analyse the relationship with the methods of direct and indirect standardization. We discuss how inequalities in health care can be integrated in an overall evaluation of social inequality.
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              The Power of Social Pensions: Evidence from China's New Rural Pension Scheme

              Wei Huang, Chuanchuan Zhang (2021)
              This paper utilizes the county-by-county rollout of China's New Rural Pension Scheme (NRPS) and finds that, among age-eligible people, the pension scheme leads to higher household income and food expenditure, less farmwork, better health, and lower mortality. In addition, the NRPS shifts age-ineligible adults from farmwork to nonfarmwork but does not significantly affect their income, expenditure, or health. No significant evidence shows that the NRPS affects private transfers or health behaviors. These findings provide relevant evidence of the impacts of social pensions on individual behaviors and welfare for developing countries today and developed countries in the past. (JEL H55, J14, I38, O18, P25, P36)
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                Author and article information

                Contributors
                Yuegang Song: URI : https://loop.frontiersin.org/people/1081270/overviewRole: Role: Role: Role:
                Changqing Song: Role: Role: Role:
                Ziqi Wang: Role: Role: Role:
                Guoheng Hu: URI : https://loop.frontiersin.org/people/1433994/overviewRole: Role: Role:
                Journal
                Journal ID (nlm-ta): Front Public Health
                Journal ID (iso-abbrev): Front Public Health
                Journal ID (publisher-id): Front. Public Health
                Title: Frontiers in Public Health
                Publisher: Frontiers Media S.A.
                ISSN (Electronic): 2296-2565
                Publication date (Electronic): 14 November 2023
                Publication date Collection: 2023
                Volume: 11
                Electronic Location Identifier: 1310180
                Affiliations
                [1] 1School of Business, Henan Normal University , Xinxiang, China
                [2] 2Shengxiang School of Business, Sanda University , Shanghai, China
                Author notes

                Edited by: Weike Zhang, University of Granada, Spain

                Reviewed by: Deshan Li, Sichuan Normal University, China; Zihao Li, Nanjing University of Information Science and Technology, China

                *Correspondence: Guoheng Hu, guohenghu2021@ 123456163.com
                Article
                DOI: 10.3389/fpubh.2023.1310180
                PMC ID: 10682720
                PubMed ID: 38035282
                SO-VID: 6ef19810-9287-4794-b72b-784e0818e509
                Copyright © Copyright © 2023 Song, Song, Wang and Hu.
                License:

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                Date received : 09 October 2023
                Date accepted : 31 October 2023
                Page count
                Figures: 1, Tables: 10, Equations: 12, References: 63, Pages: 14, Words: 10915
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The authors acknowledge the financial support from the National Social Science Foundation (the impact of heterogeneity of regional trade in services agreements on the reconstruction of global value chain of China’s manufacturing industry; project no: 20BJY091) and the innovation team project of Philosophy and Social Sciences in Colleges and Universities of Henan Province (coordinated development of urban and rural areas and Rural Revitalization; project no: 2021-CXTD-04).
                Categories
                Subject: Public Health
                Subject: Original Research
                Custom metadata
                section-at-acceptance Health Economics

                Keywords: new rural social pension insurance,rural older adult population health,logistic regression model,mediating effect,moderating effect
                Data availability:
                Keywords: new rural social pension insurance, rural older adult population health, logistic regression model, mediating effect, moderating effect

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