IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i3p1836-d1039671.html
   My bibliography  Save this article

The Impact of Medical Insurance Payment Policy Reform on Medical Cost and Medical Burden in China

Author

Listed:
  • Qianhong Lu

    (School of Public Policy and Administration, Nanchang University, Nanchang 330031, China)

  • Xiaoqing Gan

    (School of Public Policy and Administration, Nanchang University, Nanchang 330031, China
    School of Management, Jiujiang University, Jiujiang 332005, China)

  • Zhensheng Chen

    (School of Economics and Management, Jiangxi Science and Technology Normal University, Nanchang 330031, China)

Abstract

Medical insurance that pays for the medical expenses of the insured is regarded as being maximally fair, but often leads to the excessive use of medical services, medical expenses rising too rapidly, and the waste of health resources. The deductible and reimbursement ratio defines the part of the cost to be borne by the patient to reduce moral hazard, preventing adverse selection and easing the burden of medical expenses. But will improving the deductible or reducing the reimbursement ratio reduce medical expenses and reduce the medical burden of the insured? By using panel data from 2011 to 2019, this paper examines the effect of the deductible and reimbursement ratio on reducing medical expenses. The following conclusions were obtained: First, the impact of the deductible on medical costs and the medical burden is significant and negative. Specifically, lowering the deductible can reduce medical costs and reduce the medical burden of patients. Second, the impact of the reimbursement ratio on medical expenses and the medical burden is significant and negative, that is, with all other factors remaining equal, an increase in reimbursement ratio will result in a reduction in medical expenses and medical burden. Third, the combined effect of the deductible and reimbursement ratio has a significant impact on both medical expenses and medical burdens. Specifically, changes in the deductible and reimbursement ratio in the same direction can reduce both the medical expenses and the burden on patients. Fourth, based on an analysis in which 31 provinces were divided into economically developed and less developed areas, it was found that the deductible and reimbursement ratio have a certain impact on medical expenses and medical burden; in relatively less developed areas, with increasing per capita GDP, the flow of patients in large hospitals will inevitably increase, and the overall medical expenses will rise.

Suggested Citation

  • Qianhong Lu & Xiaoqing Gan & Zhensheng Chen, 2023. "The Impact of Medical Insurance Payment Policy Reform on Medical Cost and Medical Burden in China," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:1836-:d:1039671
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/3/1836/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/3/1836/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Amy Finkelstein & Erzo F. P. Luttmer & Matthew J. Notowidigdo, 2009. "Approaches to Estimating the Health State Dependence of the Utility Function," American Economic Review, American Economic Association, vol. 99(2), pages 116-121, May.
    2. Christina M Dalton & Gautam Gowrisankaran & Robert J Town, 2020. "Salience, Myopia, and Complex Dynamic Incentives: Evidence from Medicare Part D," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(2), pages 822-869.
    3. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    4. Manning, Willard G, et al, 1987. "Health Insurance and the Demand for Medical Care: Evidence from a Randomized Experiment," American Economic Review, American Economic Association, vol. 77(3), pages 251-277, June.
    5. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    6. Edward Frees & Jie Gao & Marjorie Rosenberg, 2011. "Predicting the Frequency and Amount of Health Care Expenditures," North American Actuarial Journal, Taylor & Francis Journals, vol. 15(3), pages 377-392.
    7. G. P. Clemente & N. Savelli & G. A. Spedicato & D. Zappa, 2022. "Modeling General Practitioners’ Total Drug Costs through GAMLSS and Collective Risk Models," North American Actuarial Journal, Taylor & Francis Journals, vol. 26(4), pages 610-625, November.
    8. Liu, Lei & Strawderman, Robert L. & Cowen, Mark E. & Shih, Ya-Chen T., 2010. "A flexible two-part random effects model for correlated medical costs," Journal of Health Economics, Elsevier, vol. 29(1), pages 110-123, January.
    9. Feldman, Roger & Dowd, Bryan, 1991. "A New Estimate of the Welfare Loss of Excess Health Insurance," American Economic Review, American Economic Association, vol. 81(1), pages 297-301, March.
    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. Genya Kobayashi & Hideo Kozumi, 2012. "Bayesian analysis of quantile regression for censored dynamic panel data," Computational Statistics, Springer, vol. 27(2), pages 359-380, June.
    2. Herr, A. & Suppliet, M., 2011. "Co-Payment Exemptions and Reference Prices: an Empirical Study of Pharmaceutical Prices in Germany," Health, Econometrics and Data Group (HEDG) Working Papers 11/18, HEDG, c/o Department of Economics, University of York.
    3. Daniel Ştefan Armeanu & Georgeta Vintilă & Ştefan Cristian Gherghina, 2017. "Empirical Study towards the Drivers of Sustainable Economic Growth in EU-28 Countries," Sustainability, MDPI, vol. 10(1), pages 1-22, December.
    4. Youngho Kang & Byung-Yeon Kim, 2018. "Immigration and economic growth: do origin and destination matter?," Applied Economics, Taylor & Francis Journals, vol. 50(46), pages 4968-4984, October.
    5. Cho, Seo-young & Vadlamannati, Krishna Chaitanya, 2010. "Compliance for big brothers: An empirical analysis on the impact of the anti-trafficking protocol," University of Göttingen Working Papers in Economics 118, University of Goettingen, Department of Economics.
    6. Vieira, Flávio & MacDonald, Ronald & Damasceno, Aderbal, 2012. "The role of institutions in cross-section income and panel data growth models: A deeper investigation on the weakness and proliferation of instruments," Journal of Comparative Economics, Elsevier, vol. 40(1), pages 127-140.
    7. Hakkala, Katariina & Heyman, Fredrik & Sjöholm, Fredrik, 2007. "Cross-Border Acquisitions, Multinationals and Wage Elasticities," Working Paper Series 709, Research Institute of Industrial Economics.
    8. Tuba DERYA-BASKAN & Eda BALIKÇIOĞLU, 2018. "Firma Bileşenlerinin Halka Açık Perakende Firmalarında Kurumlar Vergisine Etkisi," Sosyoekonomi Journal, Sosyoekonomi Society, issue 26(37).
    9. Kitazawa, Yoshitsugu, 2001. "Exponential regression of dynamic panel data models," Economics Letters, Elsevier, vol. 73(1), pages 7-13, October.
    10. Steiner, Andreas, 2013. "The accumulation of foreign exchange by central banks: Fear of capital mobility?," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 409-427.
    11. Nuno Carlos LEITÃO & Muhammad SHAHBAZ, 2012. "Migration and Tourism Demand," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(2(567)), pages 39-48, February.
    12. Alessandra Canepa & Fawaz Khaled, 2018. "Housing, Housing Finance and Credit Risk," IJFS, MDPI, vol. 6(2), pages 1-23, May.
    13. Tahir Andrabi & Jishnu Das & Asim Ijaz Khwaja & Tristan Zajonc, 2011. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 29-54, July.
    14. Raushan Bokusheva & Lukáš Čechura & Subal C. Kumbhakar, 2023. "Estimating persistent and transient technical efficiency and their determinants in the presence of heterogeneity and endogeneity," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 450-472, June.
    15. Paul Raschky, 2007. "Estimating the effects of risk transfer mechanisms against floods in Europe and U.S.A.: A dynamic panel approach," Working Papers 2007-05, Faculty of Economics and Statistics, Universität Innsbruck.
    16. Efobi, Uchenna & Asongu, Simplice & Okafor, Chinelo & Tchamyou, Vanessa & Tanankem, Belmondo, 2016. "Diaspora Remittance Inflow, Financial Development and the Industrialisation of Africa," MPRA Paper 76121, University Library of Munich, Germany.
    17. Han, Chirok & Kim, Hyoungjong, 2014. "The role of constant instruments in dynamic panel estimation," Economics Letters, Elsevier, vol. 124(3), pages 500-503.
    18. Emrah Kocak & Hayriye Hilal Baglitas, 2022. "The path to sustainable municipal solid waste management: Do human development, energy efficiency, and income inequality matter?," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(6), pages 1947-1962, December.
    19. Simplice A. Asongu & Joseph I. Uduji & Elda N. Okolo-Obasi, 2020. "Drivers and persistence of death in conflicts: global evidence," Working Papers 20/066, European Xtramile Centre of African Studies (EXCAS).
    20. Huy Quang Doan, 2019. "Trade, Institutional Quality and Income: Empirical Evidence for Sub-Saharan Africa," Economies, MDPI, vol. 7(2), pages 1-23, May.

    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:jsusta:v:15:y:2023:i:3:p:1836-:d:1039671. 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.