IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v308y2022ics0277953622004932.html
   My bibliography  Save this article

Does direct settlement of intra-province medical reimbursements improve financial protection among middle-aged and elderly population in China? Evidence based on CHARLS data

Author

Listed:
  • Pan, Yan
  • Zhong, Wen-fang
  • Yin, Rong
  • Zheng, Meng
  • Xie, Kun
  • Cheng, Shu-yuan
  • Ling, Li
  • Chen, Wen

Abstract

In low- and middle-income countries, social health insurance schemes are the main focus of efforts to achieve universal health coverage (UHC) by promoting access to health care and financial protection. Problems with financial protection in China are caused mainly by health insurance fragmentation and a rapid rise in medical expenditure. In this context, China implemented a policy of direct settlement of intra-provincial medical reimbursement in 2014. We evaluated the impact of the policy on financial protection with a population aged 45 and above based on the China Health and Retirement Longitudinal Study from 2011 to 2018. We estimated the policy effects using the difference-in-differences method, based on coarsened exact matching. We found that the policy significantly reduced the catastrophic health expenditures (CHEs) rate by approximately 10% in the population, whether middle-aged or elderly. Subgroup analyses indicated that middle-aged and elderly people living in western China and with lower household incomes received greater protection from the policy. The CHEs rate for the two age groups in western China was reduced by 16.26% and 20.12%, respectively. The CHEs rate was reduced by 24.51% and 17.32% for middle-aged individuals in the lowest and second household income quartiles, respectively, and by 21.31% for older adults in the second household income quartile. The new rural cooperative medical scheme exerted a smaller protective effect than urban medical insurance among the participants aged 60 and older. We found that in addition to optimizing health insurance schemes, more health care reform measures, such as adopting more efficient payment methods and rationalizing medical expenditures, should be combined to help reduce health inequities and accelerate progress toward achieving UHC and the Sustainable Development Goals.

Suggested Citation

  • Pan, Yan & Zhong, Wen-fang & Yin, Rong & Zheng, Meng & Xie, Kun & Cheng, Shu-yuan & Ling, Li & Chen, Wen, 2022. "Does direct settlement of intra-province medical reimbursements improve financial protection among middle-aged and elderly population in China? Evidence based on CHARLS data," Social Science & Medicine, Elsevier, vol. 308(C).
  • Handle: RePEc:eee:socmed:v:308:y:2022:i:c:s0277953622004932
    DOI: 10.1016/j.socscimed.2022.115187
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953622004932
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2022.115187?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Feng, Jin & Li, Qin & Smith, James P., 2020. "Retirement effect on health status and health behaviors in urban China," World Development, Elsevier, vol. 126(C).
    2. Furong Li & Yuxuan Wu & Qingqing Yuan & Kun Zou & Min Yang & Dandi Chen, 2020. "Do health insurances reduce catastrophic health expenditure in China? A systematic evidence synthesis," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-16, September.
    3. Yingying Meng & Junqiang Han & Siqi Qin, 2018. "The Impact of Health Insurance Policy on the Health of the Senior Floating Population—Evidence from China," IJERPH, MDPI, vol. 15(10), pages 1-17, October.
    4. Yinjun Zhao & Bowei Kang & Yawen Liu & Yichong Li & Guoqing Shi & Tao Shen & Yong Jiang & Mei Zhang & Maigeng Zhou & Limin Wang, 2014. "Health Insurance Coverage and Its Impact on Medical Cost: Observations from the Floating Population in China," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-9, November.
    5. Xiaoyun Sun & Sukhan Jackson & Gordon Carmichael & Adrian C. Sleigh, 2009. "Catastrophic medical payment and financial protection in rural China: evidence from the New Cooperative Medical Scheme in Shandong Province," Health Economics, John Wiley & Sons, Ltd., vol. 18(1), pages 103-119, January.
    6. Fei Xie & Xiaoqing Jiang & Fang Yuan & Xiaoyun Chen & Zhaokang Yuan & Yuanan Lu, 2018. "Impact of the New Cooperative Medical Scheme on the Rural Residents’ Hospitalization Medical Expenses: A Five-Year Survey Study for the Jiangxi Province in China," IJERPH, MDPI, vol. 15(7), pages 1-11, June.
    7. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    8. Wagstaff, Adam & Lindelow, Magnus, 2008. "Can insurance increase financial risk?: The curious case of health insurance in China," Journal of Health Economics, Elsevier, vol. 27(4), pages 990-1005, July.
    9. Joshua Wassink, 2018. "Uninsured migrants: Health insurance coverage and access to care among Mexican return migrants," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(17), pages 401-428.
    10. Gabriel M Ahlfeldt, 2018. "Weights to Address Non-parallel Trends in Panel Difference-in-differences Models," CESifo Economic Studies, CESifo Group, vol. 64(2), pages 216-240.
    11. Pamela Jakiela, 2021. "Simple Diagnostics for Two-Way Fixed Effects," Department of Economics Working Papers 2021-05, Department of Economics, Williams College.
    12. Young-Mi Ah & Euna Han & Kwanghee Jun & Yun Mi Yu & Ju-Yeun Lee, 2019. "Change in sedative burden after dementia onset using difference-in-difference estimations," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-12, August.
    13. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    14. Insu Chang & Brian H. S. Kim, 2020. "Correction to: Regional disparity of medical resources and its effect on age-standardized mortality rates in Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(1), pages 237-237, February.
    15. Dengfeng Wu & Fang Yu & Wei Nie, 2018. "Improvement of the reduction in catastrophic health expenditure in China’s public health insurance," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-21, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Yao & Li, Lei & Liu, Junxia, 2023. "The efficient moral hazard effect of health insurance: Evidence from the consolidation of urban and rural resident health insurance in China," Social Science & Medicine, Elsevier, vol. 324(C).
    2. Cui, Chengsen & Zhang, Yue & Ding, Ruoxi & He, Ping, 2024. "Impact of the Essential Public Health Service program on financial protection and health outcomes among hypertensive patients: A quasi-experimental study in China," Social Science & Medicine, Elsevier, vol. 345(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Antonio Acconcia & Elisa Scarinzi, 2022. "The Effects of Local Demand and Supply Restrictions on Markup," CSEF Working Papers 635, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, revised 17 Mar 2022.
    2. Aaron Richterman & Harsha Thirumurthy, 2022. "The effects of cash transfer programmes on HIV-related outcomes in 42 countries from 1996 to 2019," Nature Human Behaviour, Nature, vol. 6(10), pages 1362-1371, October.
    3. Roth, Jonathan & Sant’Anna, Pedro H.C. & Bilinski, Alyssa & Poe, John, 2023. "What’s trending in difference-in-differences? A synthesis of the recent econometrics literature," Journal of Econometrics, Elsevier, vol. 235(2), pages 2218-2244.
    4. Freedman, Matthew & Khanna, Shantanu & Neumark, David, 2023. "Combining rules and discretion in economic development policy: Evidence on the impacts of the California Competes Tax Credit," Journal of Public Economics, Elsevier, vol. 217(C).
    5. Clément de Chaisemartin & Xavier D’Haultfœuille, 2023. "Two-way fixed effects and differences-in-differences with heterogeneous treatment effects: a survey," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 1-30.
    6. Cepparulo, Brian & Jump, Robert Calvert, 2022. "The impact of Covid-19 restrictions on economic activity: evidence from the Italian regional system," Greenwich Papers in Political Economy 37801, University of Greenwich, Greenwich Political Economy Research Centre.
    7. Baker, Andrew C. & Larcker, David F. & Wang, Charles C.Y., 2022. "How much should we trust staggered difference-in-differences estimates?," Journal of Financial Economics, Elsevier, vol. 144(2), pages 370-395.
    8. Ai, Jingyi & Feng, Jin & Zhang, Xiaohan, 2024. "Long-term care insurance coverage and labor force participation of older people: Evidence from China," China Economic Review, Elsevier, vol. 86(C).
    9. Zhang, Hongliang & Assaad, Ragui, 2024. "Women’s access to school, educational attainment, and fertility: Evidence from Jordan," Journal of Development Economics, Elsevier, vol. 170(C).
    10. repec:ags:aaea22:335793 is not listed on IDEAS
    11. Wang, Zhenggang & Wu, Zenan & Yuan, Ye, 2024. "We’ve got you covered! The effect of public health insurance on rural entrepreneurship in China," Journal of Public Economics, Elsevier, vol. 235(C).
    12. Bas Scheer & Wiljan van den Berge & Maarten Goos & Alan Manning & Anna Salomons, 2022. "Alternative Work Arrangements and Worker Outcomes: Evidence from Payrolling," CPB Discussion Paper 435, CPB Netherlands Bureau for Economic Policy Analysis.
    13. Kuangnan Fang & BenChang Shia & Shuangge Ma, 2012. "Health Insurance Coverage and Impact: A Survey in Three Cities in China," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-8, June.
    14. Luo, Lianfa & Cheng, Zhiming & Ye, Qingqing & Cheng, Yanjun & Smyth, Russell & Yang, Zhiqing & Zhang, Le, 2024. "Nonmonetary awards and innovation: Evidence from winning China's Top Brand Contest," China Economic Review, Elsevier, vol. 86(C).
    15. Aggarwal, Khushboo & Barua, Rashmi & Vidal-Fernandez, Marian, 2024. "Still Waters Run Deep: Groundwater Contamination and Education Outcomes in India," Economics of Education Review, Elsevier, vol. 100(C).
    16. Jaraitė, Jūratė & Kurtyka, Oliwia & Ollivier, Hélène, 2022. "Take a ride on the (not so) green side: How do CDM projects affect Indian manufacturing firms’ environmental performance?," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).
    17. Cordonnier, Victor & Covarrubias, Katia Alejandra & de la O Campos, Ana Paula, 2024. "The impacts of widespread agricultural interventions on yields and food security in Ethiopia☆," Food Policy, Elsevier, vol. 124(C).
    18. Costa-Font, Joan & Jiménez-Martín, Sergi & Vilaplana-Prieto, Cristina, 2022. "Do Public Caregiving Subsidies and Supports affect the Provision of Care and Transfers?," Journal of Health Economics, Elsevier, vol. 84(C).
    19. Ta, Chi L., 2024. "Do conservation contests work? An analysis of a large-scale energy competitive rebate program," Journal of Environmental Economics and Management, Elsevier, vol. 124(C).
    20. Jonathan A. Parker & Jake Schild & Laura Erhard & David S. Johnson, 2021. "Household Spending Responses to the Economic Impact Payments of 2020: Evidence from the Consumer Expenditure Survey," Economic Working Papers 544, Bureau of Labor Statistics.
    21. Carpenter, Christopher S. & Churchill, Brandyn F. & Marcus, Michelle, 2023. "Bad lighting: Effects of youth indoor tanning prohibitions," Journal of Health Economics, Elsevier, vol. 88(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:308:y:2022:i:c:s0277953622004932. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.