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Zhou Z, Jiang Y, Wu H, Jiang F, Yu Z. The Age of Mobility: Can Equalization of Public Health Services Alleviate the Poverty of Migrant Workers? Int J Environ Res Public Health 2022; 19:ijerph192013342. [PMID: 36293922 PMCID: PMC9603761 DOI: 10.3390/ijerph192013342] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 10/12/2022] [Accepted: 10/13/2022] [Indexed: 05/26/2023]
Abstract
Migrants workers are important participants in and contributors to economic and social construction, but they still face the reality of being marginalized. Based on data from the China Migrants Dynamic Survey in 2018, this paper systematically investigated the impact of public health services on the multidimensional poverty of migrant workers. The research found that, first, the current mean of the multidimensional poverty deprivation value of migrant workers is 0.1806, which is one dimension of poverty that exists on average. In addition, migrant workers do not have high access to public health services. The proportions of migrant workers who have not established residents' health files and who have not received public health education are 74.22% and 29.92%, respectively. Second, public health services can significantly alleviate the multidimensional poverty of migrant workers. After mitigating the potential endogeneity problem by the IV-2SLS method and conducting robustness tests by the PSM method, the conclusion is still robust. Further research found that the impact of public health services on the multidimensional poverty alleviation of migrant workers is heterogeneous. The improvement of public health services has the greatest effect on the multidimensional poverty alleviation of the new generation of migrant female workers in the western region. The research in this paper helps to examine and clarify the policy significance of public health services for the multidimensional poverty alleviation of migrant workers and provides empirical evidence for the use of public health services to tackle the poverty problem.
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Affiliation(s)
- Ziming Zhou
- School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China
| | - Yumeng Jiang
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing 210042, China
| | - Haitao Wu
- School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China
| | - Fan Jiang
- Institute of Agricultural Economics and Technology, Hubei Academy of Agricultural Science, Wuhan 430073, China
| | - Zhiming Yu
- School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China
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Yang Y, Zhou L, Zhang C, Luo X, Luo Y, Wang W. Public Health Services, Health Human Capital, and Relative Poverty of Rural Families. Int J Environ Res Public Health 2022; 19:11089. [PMID: 36078803 PMCID: PMC9518469 DOI: 10.3390/ijerph191711089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 09/01/2022] [Accepted: 09/02/2022] [Indexed: 06/15/2023]
Abstract
With the successful completion of the battle against poverty, after 2020, the focus and difficulty of China's poverty governance will change from solving absolute poverty to alleviating relative poverty. Analyzing and studying the alleviation of relative poverty from the perspective of public health services is in line with the current needs of consolidating and expanding poverty alleviation in China, and it is also of great significance to building a long-term solution mechanism for relative poverty. In this study, basic panel data were constructed by using the data of five CFPS surveys in 2010, 2012, 2014, 2016, and 2018 and matched with the macro data. The correlation between public health services and rural households' relative poverty was also analyzed by using logit regression analysis and the KHB mediation effect decomposition method. The results show that (1) public health services play a significant role in promoting the accumulation of health human capital, improving individual feasible ability, and alleviating the relative poverty of rural families; (2) the improvement of public health services is conducive to the alleviation of the relative poverty of rural families; (3) we should continue to increase investment in public health care in underdeveloped areas and strive to promote the balanced development of public health services, so as to further consolidate and expand the achievements of poverty eradication.
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Affiliation(s)
- Yingya Yang
- Business School, Anyang Institute of Technology, West Section of Huanghe Avenue, Anyang 455000, China
| | - Liangliang Zhou
- School of Mathematics and Information Science, Anyang Institute of Technology, West Section of Huanghe Avenue, Anyang 455000, China
| | - Chongmei Zhang
- College of Management, Sichuan Agricultural University, 211 Huimin Rd., Chengdu 130062, China
| | - Xin Luo
- College of Management, Sichuan Agricultural University, 211 Huimin Rd., Chengdu 130062, China
| | - Yihan Luo
- College of Management, Sichuan Agricultural University, 211 Huimin Rd., Chengdu 130062, China
| | - Wei Wang
- College of Management, Sichuan Agricultural University, 211 Huimin Rd., Chengdu 130062, China
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Li Y, Huang L. Assessing the impact of public transfer payments on the vulnerability of rural households to healthcare poverty in China. BMC Health Serv Res 2022; 22:242. [PMID: 35193575 PMCID: PMC8863513 DOI: 10.1186/s12913-022-07604-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 02/07/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND China completed the task of eliminating absolute poverty, following the 18th National Congress. However, after 2020, rural poverty in China has entered a new stage that is characterised by transformational secondary poverty and relative poverty; thus, the poverty vulnerable group is the new target group. Public transfer payments play a vital role in reducing the vulnerability of rural households to healthcare poverty. Assessing the effectiveness of public transfer payments in rural households can improve the vulnerability of rural households to healthcare poverty. METHODS In total, 5754 rural households were included each year, which accounted for a total of 16,722 rural households during the three-year study period. The multidimensional poverty and the vulnerability to healthcare poverty of rural households were assessed and compared. Two series of multivariate logistic regression models were further used to assess the effects of public transfer payments on improving the vulnerability of rural households to healthcare poverty. RESULTS When the poverty line was set at $1.90 and $3.20, rural households in all the three study years exhibited a higher vulnerability to healthcare poverty than the actual incidence of multidimensional poverty in healthcare, and the Eastern regions exhibited higher vulnerability to poverty than the Western regions of China. The series of multivariate logistic models employed to evaluate the effects of public transfer payments on the rural households' vulnerability to healthcare poverty indicated that considering the differences in rural households' demands for healthcare is vital for the government to fulfill the effects of public transfer payments. When income elasticity indicators for health care needs were included, the effect of public transfer payments on improving the vulnerability of rural households changed from less significant in 2014 and 2016. In 2018, however, the effect of public transfers on improving the vulnerability of rural households has increased compared to the non-inclusion elasticity. CONCLUSIONS The imbalance of development between urban and rural areas in China is increasing, and rural households with heavy economic burdens are facing the risk of low healthcare services. Our findings highlight the importance of government departments in improving public transfer payments to reduce rural households' vulnerability to healthcare poverty.
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Affiliation(s)
- Yali Li
- School of Business, Jiangxi University of Science and Technology, Nanchang, 330013, China.,North Carolina State University, P. O. Box 8005, Raleigh, NC, 27695-8005, USA
| | - Lei Huang
- School of Accounting, Jiangxi University of Finance and Economics, Nanchang, 330013, China.
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Ma M, Li Y, Wang N, Wu Q, Shan L, Jiao M, Fu X, Li H, Sun T, Yi B, Tian W, Xia Q, Shi B, Hao Y, Yin H, Ning N, Gao L, Liang L, Wang J. Does the medical insurance system really achieved the effect of poverty alleviation for the middle-aged and elderly people in China? Characteristics of vulnerable groups and failure links. BMC Public Health 2020; 20:435. [PMID: 32245435 PMCID: PMC7118817 DOI: 10.1186/s12889-020-08554-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 03/19/2020] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND We examined the physiological, household, and spatial agglomeration characteristics of the health poverty population in China. We identified weak links that affect the implementation of the medical insurance and further improve its effectiveness for health poverty alleviation. METHODS A national representative sample from the China Health and Retirement Longitudinal Study (CHARLS) was analyzed. The WHO recommended method was adopted to calculate catastrophic health expenditure (CHE) and impoverishment by medical expenses (IME). We created a binary indicator for IME as the outcome variable and applied the treatment-effect model to analyze the determinants of IME. RESULTS The incidence of IME was 7.2% of the overall population, compared to 20.3% of the sample households trapped in CHE. The incidence of IME enrolled in insurance schemes was 7.4% higher than that of uninsured families (4.8%). Economic level, living area, family size, age of household head, having hospitalized members, and participating in insurance were statistically significant for the occurrence of IME. CONCLUSIONS The original poverty-promoting policies has not reached the maximum point of convergence with China's current demand for health. The overlapped health vulnerabilities exacerbated the risk of poverty among the elderly and households with high health needs and utilization. In addition, the medical insurance schemes have proven to be insufficient for protection against economic burden of poor households. So, special health needs, age, and household capacity to pay should be comprehensively considered while strengthening the connection between the disease insurance scheme with supplementary insurance.
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Affiliation(s)
- Meiyan Ma
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China
| | - Ye Li
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
| | - Nianshi Wang
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China
| | - Qunhong Wu
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China
| | - Linghan Shan
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China
| | - Mingli Jiao
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China
| | - Xuelian Fu
- The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Heng Li
- China Hospital Development institute of Shanghai Jiao Tong University, Shanghai, China
| | - Tao Sun
- Department of Health Service Management, School of Medicine, Hang Zhou Normal University, Zhejiang, China
| | - Bin Yi
- The First Specialized Hospital of Harbin, Harbin, Heilongjiang, China
| | - Wanxin Tian
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China
| | - Qi Xia
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China
| | - Baoguo Shi
- Department of Economics, School of Economics, Minzu University of China, Beijing, China
| | - Yanhua Hao
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China
| | - Hui Yin
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China
| | - Ning Ning
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China
| | - Lijun Gao
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China
| | - Libo Liang
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China
| | - Jiahui Wang
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China
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