IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i12p7359-d839677.html
   My bibliography  Save this article

Socioeconomic Disparities in Health Care Consumption: Using the 2018-China Family Panel Studies

Author

Listed:
  • Enkai Guo

    (College of P.E and Sports, Beijing Normal University, Beijing 100875, China)

  • Huamei Zhong

    (School of Physical Education and Sports Science, Fujian Normal University, Fuzhou 350117, China)

  • Yang Gao

    (College of P.E and Sports, Beijing Normal University, Beijing 100875, China)

  • Jing Li

    (College of P.E and Sports, Beijing Normal University, Beijing 100875, China)

  • Zhaohong Wang

    (College of P.E and Sports, Beijing Normal University, Beijing 100875, China)

Abstract

The existing research on residents’ health care consumption mostly covers medical care consumption and seldom regards residents’ health care consumption as an independent research object. This article takes residents’ healthcare consumption as the research object and aims to explore the impact of socioeconomic status on healthcare consumption and its mechanisms. The data of this study came from the 2018-China Family Panel Studies (CFPS). The binary probit regression model and the Tobit model explored the impact mechanism of residents’ income, education, occupation, and physical activity on health care consumption decision-making and health care expenditure, respectively. The research results showed that, from the perspective of the direct influence mechanism, residents’ work income (0.029, p < 0.01) and education level (811.149, p < 0.01) had a significant positive impact on health care consumption. Residents whose occupations (−99.697, p < 0.01) tend to be more skilled and also have higher health care consumption. From the perspective of the mediating mechanism, residents’ physical exercise duration had a significant positive impact on their participation in healthcare consumption (0.005, p < 0.01) but had a weaker impact on healthcare consumption expenditure (21.678, p < 0.1). In general, socioeconomic status represented by income, education, and occupation had a significant positive impact on residents’ health care consumption. The duration of physical exercise also played an important mediating role.

Suggested Citation

  • Enkai Guo & Huamei Zhong & Yang Gao & Jing Li & Zhaohong Wang, 2022. "Socioeconomic Disparities in Health Care Consumption: Using the 2018-China Family Panel Studies," IJERPH, MDPI, vol. 19(12), pages 1-14, June.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:12:p:7359-:d:839677
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/12/7359/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/12/7359/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jeffrey J. Rous & David R. Hotchkiss, 2003. "Estimation of the determinants of household health care expenditures in Nepal with controls for endogenous illness and provider choice," Health Economics, John Wiley & Sons, Ltd., vol. 12(6), pages 431-451, June.
    2. Noshaba Aziz & Jun He & Tanwne Sarker & Hongguang Sui, 2021. "Exploring the Role of Health Expenditure and Maternal Mortality in South Asian Countries: An Approach towards Shaping Better Health Policy," IJERPH, MDPI, vol. 18(21), pages 1-14, November.
    3. Asaria, Miqdad & Doran, Tim & Cookson, Richard, 2016. "The costs of inequality: whole-population modelling study of lifetime inpatient hospital costs in the English National Health Service by level of neighbourhood deprivation," LSE Research Online Documents on Economics 101244, London School of Economics and Political Science, LSE Library.
    4. Baltagi, Badi H. & Moscone, Francesco, 2010. "Health care expenditure and income in the OECD reconsidered: Evidence from panel data," Economic Modelling, Elsevier, vol. 27(4), pages 804-811, July.
    5. Chubarova, T., 2020. "Income and consumption of medical care through the lens of protected goods' approach," Journal of the New Economic Association, New Economic Association, vol. 47(3), pages 190-196.
    6. Kolawole Ogundari & Awudu Abdulai, 2014. "Determinants of Household's Education and Healthcare Spending in Nigeria: Evidence from Survey Data," African Development Review, African Development Bank, vol. 26(1), pages 1-14.
    7. Sherry A. Glied, 2008. "Universal Public Health Insurance and Private Coverage: Externalities in Health Care Consumption," NBER Working Papers 13885, National Bureau of Economic Research, Inc.
    8. Jamile Codogno & Bruna Turi & Han Kemper & Rômulo Fernandes & Diego Christofaro & Henrique Monteiro, 2015. "Physical inactivity of adults and 1-year health care expenditures in Brazil," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 60(3), pages 309-316, March.
    9. Sherry Glied, 2008. "Universal Public Health Insurance and Private Coverage: Externalities in Health Care Consumption," Canadian Public Policy, University of Toronto Press, vol. 34(3), pages 345-358, September.
    Full references (including those not matched with items on IDEAS)

    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. Rihem Zeiri & Aida Bouzir & Mohamed H di Benhadj Mbarek & Saloua Benammou, 2023. "The Link between Economic Growth, Air Pollution and Health Expenditure in the G7 Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 156-168, July.
    2. Andrea Leiter & Engelbert Theurl, 2012. "The convergence of health care financing structures: empirical evidence from OECD-countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(1), pages 7-18, February.
    3. Omar Paccagnella & Vincenzo Rebba & Guglielmo Weber, 2013. "VOLUNTARY PRIVATE HEALTH INSURANCE AMONG THE OVER 50s IN EUROPE," Health Economics, John Wiley & Sons, Ltd., vol. 22(3), pages 289-315, March.
    4. Eric French & Elaine Kelly & Richard Cookson & Carol Propper & Miqdad Asaria & Rosalind Raine, 2016. "Socio‐Economic Inequalities in Health Care in England," Fiscal Studies, Institute for Fiscal Studies, vol. 37, pages 371-403, September.
    5. Stefan Schiman-Vukan, 2013. "Langfristige Perspektiven der öffentlichen Finanzen in Österreich. Projektionen des Staatshaushalts bis 2050," WIFO Studies, WIFO, number 46670.
    6. Guglielmo Maria Caporale & Juncal Cunado & Luis A. Gil-Alana & Rangan Gupta, 2018. "The relationship between healthcare expenditure and disposable personal income in the US states: a fractional integration and cointegration analysis," Empirical Economics, Springer, vol. 55(3), pages 913-935, November.
    7. Eibich, Peter & Ziebarth, Nicolas, 2014. "Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 49, pages 305-320.
    8. Felipa de Mello-Sampayo & Sofia de Sousa-Vale, 2014. "Financing Health Care Expenditure in the OECD Countries: Evidence from a Heterogeneous, Cross-Sectional Dependent Panel," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(2), pages 207-225, March.
    9. Tomasz Rokicki & Aleksandra Perkowska & Marcin Ratajczak, 2020. "Differentiation in Healthcare Financing in EU Countries," Sustainability, MDPI, vol. 13(1), pages 1-17, December.
    10. Naoto Jinji & Xingyuan Zhang, 2015. "International Knowledge Flows and Productivity: Intra- vs. Inter-Industry Spillovers," International Economic Journal, Taylor & Francis Journals, vol. 29(3), pages 451-474, September.
    11. Sarah Gibney & Lucy Bruton & Catherine Ryan & Gerardine Doyle & Gillian Rowlands, 2020. "Increasing Health Literacy May Reduce Health Inequalities: Evidence from a National Population Survey in Ireland," IJERPH, MDPI, vol. 17(16), pages 1-17, August.
    12. Nilgun Yavuz & Veli Yilanci & Zehra Ozturk, 2013. "Is health care a luxury or a necessity or both? Evidence from Turkey," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 5-10, February.
    13. Fei Liu & Jiti Gao & Yanrong Yang, 2020. "Time-Varying Panel Data Models with an Additive Factor Structure," Monash Econometrics and Business Statistics Working Papers 42/20, Monash University, Department of Econometrics and Business Statistics.
    14. Stefan Schiman-Vukan, 2022. "Langfristige Perspektiven der öffentlichen Finanzen in Österreich," WIFO Studies, WIFO, number 70395.
    15. Y. Natalia Alfonso & Guiru Ding & David Bishai, 2016. "Income Elasticity of Vaccines Spending versus General Healthcare Spending," Health Economics, John Wiley & Sons, Ltd., vol. 25(7), pages 860-872, July.
    16. Azharuddin Akhtar & Indrani Roy Chowdhury, 2023. "The socioeconomic inequity in healthcare utilization among individuals with cardiovascular diseases in India," Health Economics, John Wiley & Sons, Ltd., vol. 32(5), pages 1000-1018, May.
    17. Wen Liu & Guosheng Han & Xiangzi Yan & Xuan Zhang & Guangjie Ning & Armigon Ravshanovich Akhmedov & William Cannon Hunter, 2021. "The Impact of Mental Health Status on Health Consumption of the Elderly in China," IJERPH, MDPI, vol. 18(12), pages 1-17, June.
    18. Esra N. Kilci, 2022. "Can We Increase Health Expenditure Per Capita Through Higher Economic Growth? Empirical Evidence from Turkey," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(36), pages 137-152, June.
    19. Dubey, Jay Dev, 2020. "Income elasticity of demand for health care and it's change over time: Across the income groups and levels of health expenditure in India," Working Papers 20/324, National Institute of Public Finance and Policy.
    20. Bettin, Giulia & Sacchi, Agnese, 2020. "Health spending in Italy: The impact of immigrants," European Journal of Political Economy, Elsevier, vol. 65(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:gam:jijerp:v:19:y:2022:i:12:p:7359-:d:839677. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.