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      Assessing the impact of public transfer payments on the vulnerability of rural households to healthcare poverty in China

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          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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          Most cited references49

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          Poverty: An Ordinal Approach to Measurement

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                Author and article information

                Contributors
                yellowlei2008@126.com
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                23 February 2022
                23 February 2022
                2022
                : 22
                : 242
                Affiliations
                [1 ]GRID grid.440790.e, ISNI 0000 0004 1764 4419, School of Business, Jiangxi University of Science and Technology, ; Nanchang, 330013 China
                [2 ]GRID grid.40803.3f, ISNI 0000 0001 2173 6074, North Carolina State University, ; P. O. Box 8005, Raleigh, NC 27695-8005 USA
                [3 ]GRID grid.453548.b, ISNI 0000 0004 0368 7549, School of Accounting, Jiangxi University of Finance and Economics, ; Nanchang, 330013 China
                Article
                7604
                10.1186/s12913-022-07604-3
                8863513
                35193575
                191aa4d4-dab9-43c5-b237-ded396251871
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 30 July 2021
                : 7 February 2022
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Health & Social care
                andersen model,vulnerability to poverty,multidimensional poverty,multivariate logistic regression analysis,public transfer payment,chinese rural households

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