IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v9y2022i1d10.1057_s41599-022-01310-5.html
   My bibliography  Save this article

Elderly chronic diseases and catastrophic health expenditure: an important cause of Borderline Poor Families’ return to poverty in rural China

Author

Listed:
  • Xiaocang Xu

    (Huzhou University)

  • Haoran Yang

    (Chongqing Technology and Business University)

Abstract

The huge health expenditure for chronic diseases in the elderly is one of the uncertain factors that may cause the Borderline poor families to return to poverty after China fully lifts itself out of poverty in 2020, especially in rural low-income areas. Based on the latest data released by China Health and Retirement Longitudinal Study, this paper used the two-part model to analyze the impact of elderly chronic diseases on health expenditure and catastrophic health expenditure of Borderline poor families in rural China. Some interesting results were found. For example, elderly chronic diseases such as stroke and hepatic disease have a large impact on the catastrophic health expenditures of families on the edge of poverty in rural China. Therefore, the government should drive middle-aged and elderly people to actively participate in physical exercise and prevent the high incidence of chronic diseases in the elderly. Furthermore, the government should improve the medical insurance system to provide solid support for low-income families and other vulnerable groups to avoid returning to poverty.

Suggested Citation

  • Xiaocang Xu & Haoran Yang, 2022. "Elderly chronic diseases and catastrophic health expenditure: an important cause of Borderline Poor Families’ return to poverty in rural China," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    • Handle: RePEc:pal:palcom:v:9:y:2022:i:1:d:10.1057_s41599-022-01310-5
    DOI: 10.1057/s41599-022-01310-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-022-01310-5
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-022-01310-5?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. Dimitris Evangelopoulos & Roman Perez-Velasco & Heather Walton & Sophie Gumy & Martin Williams & Frank J. Kelly & Nino Künzli, 2020. "The role of burden of disease assessment in tracking progress towards achieving WHO global air quality guidelines," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 65(8), pages 1455-1465, November.
    2. Chee‐Ruey Hsieh & Xuezheng Qin, 2018. "Depression hurts, depression costs: The medical spending attributable to depression and depressive symptoms in China," Health Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 525-544, March.
    3. Pak, Tae-Young, 2021. "What are the effects of expanding social pension on health? Evidence from the Basic Pension in South Korea," The Journal of the Economics of Ageing, Elsevier, vol. 18(C).
    4. Satar Rezaei & Mohammad Hajizadeh & Sina Ahmadi & Sadaf Sedghi & Bakhtiar Piroozi & Amjad Mohamadi-Bolbanabad & Enayatollah Homaie Rad, 2019. "Socioeconomic inequality in catastrophic healthcare expenditures in Western Iran," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 46(9), pages 1049-1060, September.
    5. Duan, Naihua, et al, 1983. "A Comparison of Alternative Models for the Demand for Medical Care," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 115-126, April.
    6. Deepak Kumar Behera & Umakant Dash, 2020. "Is health expenditure effective for achieving healthcare goals? Empirical evidence from South-East Asia Region," Asia-Pacific Journal of Regional Science, Springer, vol. 4(2), pages 593-618, June.
    7. Khin Thet Swe & Md Mizanur Rahman & Md Shafiur Rahman & Eiko Saito & Sarah K Abe & Stuart Gilmour & Kenji Shibuya, 2018. "Cost and economic burden of illness over 15 years in Nepal: A comparative analysis," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-14, April.
    8. HyunWoo Jung & Kwang-Soo Lee, 2022. "What Policy Approaches Were Effective in Reducing Catastrophic Health Expenditure? A Systematic Review of Studies from Multiple Countries," Applied Health Economics and Health Policy, Springer, vol. 20(4), pages 525-541, July.
    9. Somkotra, Tewarit & Lagrada, Leizel P., 2008. "Payments for health care and its effect on catastrophe and impoverishment: Experience from the transition to Universal Coverage in Thailand," Social Science & Medicine, Elsevier, vol. 67(12), pages 2027-2035, December.
    10. Nicholas G. Zaorsky & Ying Zhang & Leila T. Tchelebi & Heath B. Mackley & Vernon M. Chinchilli & Brad E. Zacharia, 2019. "Stroke among cancer patients," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
    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. Yiguo Shen & Xiaojie Chen & Qingxin Yao & Jiahui Ding & Yuhan Lai & Yongheng Rao, 2023. "Examining the Impact of China’s Poverty Alleviation on Nighttime Lighting in 831 State-Level Impoverished Counties," Land, MDPI, vol. 12(6), pages 1-17, May.

    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. HyunWoo Jung & Kwang-Soo Lee, 2022. "What Policy Approaches Were Effective in Reducing Catastrophic Health Expenditure? A Systematic Review of Studies from Multiple Countries," Applied Health Economics and Health Policy, Springer, vol. 20(4), pages 525-541, July.
    2. Chen, Mingsheng & Xu, Lizheng & Si, Lei & Wang, Zhonghua & Jan, Stephen, 2023. "Examining the level and distribution of catastrophic health expenditure from 2013 to 2018: A province-level study in China," Economic Modelling, Elsevier, vol. 121(C).
    3. Ni, Xinwen, 2019. "Voting for Health Insurance Policy: the U.S. versus Europe," IRTG 1792 Discussion Papers 2019-012, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    4. Buntin, Melinda Beeuwkes & Zaslavsky, Alan M., 2004. "Too much ado about two-part models and transformation?: Comparing methods of modeling Medicare expenditures," Journal of Health Economics, Elsevier, vol. 23(3), pages 525-542, May.
    5. Sandeep Rath & Kumar Rajaram, 2022. "Staff Planning for Hospitals with Implicit Cost Estimation and Stochastic Optimization," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1271-1289, March.
    6. Glenn W. Harrison & James P. Feehan & Alison C. Edwards & Jorge Segovia, 2003. "Cigarette Smoking and the Cost of Hospital and Physician Care," Canadian Public Policy, University of Toronto Press, vol. 29(1), pages 1-19, March.
    7. Liu, Jin-Long & Liu, Jin-Tan & Hammitt, James K. & Chou, Shin-Yi, 1999. "The price elasticity of opium in Taiwan, 1914-1942," Journal of Health Economics, Elsevier, vol. 18(6), pages 795-810, December.
    8. Md Mahfuzur Rahman & Cherri Zhang & Khin Thet Swe & Md Shafiur Rahman & Md Rashedul Islam & Md Kamrujjaman & Papia Sultana & Md Zakiul Hassan & Md Shahinul Alam & Md Mizanur Rahman, 2020. "Disease-specific out-of-pocket healthcare expenditure in urban Bangladesh: A Bayesian analysis," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-11, January.
    9. Jun Zhang & Yuang He & Jing Zhang, 2022. "Energy Poverty and Depression in Rural China: Evidence from the Quantile Regression Approach," IJERPH, MDPI, vol. 19(2), pages 1-21, January.
    10. Deb, Partha & Trivedi, Pravin K., 2002. "The structure of demand for health care: latent class versus two-part models," Journal of Health Economics, Elsevier, vol. 21(4), pages 601-625, July.
    11. Gerko Vink & Laurence E. Frank & Jeroen Pannekoek & Stef Buuren, 2014. "Predictive mean matching imputation of semicontinuous variables," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(1), pages 61-90, February.
    12. Zhong, Jingdong & Wang, Tianyi & He, Yang & Gao, Jingjing & Liu, Chengfang & Lai, Fang & Zhang, Liuxiu & Luo, Renfu, 2021. "Interrelationships of caregiver mental health, parenting practices, and child development in rural China," Children and Youth Services Review, Elsevier, vol. 121(C).
    13. Susan L. Ettner & Betsy L. Cadwell & Louise B. Russell & Arleen Brown & Andrew J. Karter & Monika Safford & Carol Mangione & Gloria Beckles & William H. Herman & Theodore J. Thompson & and The TRIAD S, 2009. "Investing time in health: do socioeconomically disadvantaged patients spend more or less extra time on diabetes self‐care?," Health Economics, John Wiley & Sons, Ltd., vol. 18(6), pages 645-663, June.
    14. Ulf‐ G. Gerdtham, 1997. "Equity in Health Care Utilization: Further Tests Based on Hurdle Models and Swedish Micro Data," Health Economics, John Wiley & Sons, Ltd., vol. 6(3), pages 303-319, May.
    15. Kim, Chang-O & Joung, Won Oh, 2014. "Effect of the Crisis Assistance Program on poverty transition for seriously ill people in South Korea: A quasi-experimental study," Social Science & Medicine, Elsevier, vol. 101(C), pages 28-35.
    16. Michael Smart & Mark Stabile, 2005. "Tax credits, insurance, and the use of medical care," Canadian Journal of Economics, Canadian Economics Association, vol. 38(2), pages 345-365, May.
    17. Carole Roan Gresenz & Jeanette A. Rogowski & Jose Escarce, 2004. "Healthcare Markets, the Safety Net and Access to Care Among the Uninsured," NBER Working Papers 10799, National Bureau of Economic Research, Inc.
    18. Partha Deb & Murat K. Munkin & Pravin K. Trivedi, 2006. "Bayesian analysis of the two‐part model with endogeneity: application to health care expenditure," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 1081-1099, November.
    19. Sheila Hoag & Adam Swinburn & Sean Orzol & Michael Barna & Maggie Colby & Brenda Natzke & Christopher Trenholm & Fredric Blavin & Genevieve M. Kenney & Michale Huntress & Others, 2013. "CHIPRA Mandated Evaluation of Express Lane Eligibility: Final Findings," Mathematica Policy Research Reports 257e261f5ab440728eb301712, Mathematica Policy Research.
    20. Mandy Ryan & Emmanouil Mentzakis & Catriona Matheson & Christine Bond, 2020. "Survey modes comparison in contingent valuation: Internet panels and mail surveys," Health Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 234-242, February.

    More about this item

    Statistics

    Access and download statistics

    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:pal:palcom:v:9:y:2022:i:1:d:10.1057_s41599-022-01310-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    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.