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The Unmet Medical Demand among China’s Urban Residents

Author

Listed:
  • Pengfei Sheng

    (School of Economics, Henan University, Kaifeng 475002, China)

  • Tingting Yang

    (School of Economics, Henan University, Kaifeng 475002, China)

  • Tengfei Zhang

    (School of Public Finance and Taxation, Southwestern University of Finance and Economics, Chengdu 611130, China)

Abstract

Our work aimed to build a reasonable proxy for unmet medical demands of China’s urban residents. We combined health demand modeling and stochastic frontier analysis to produce a frontier medical demand function, which allowed us to disentangle unmet medical demands from the unobservable effects. We estimated unmet medical demands by using China’s provincial dataset that covered 2005–2018. Our estimates showed that unmet medical demand at the national level was 12.6% in 2018, and regions with high medical prices confronted more unmet medical demands than regions with moderate or low medical prices during 2005–2018. Furthermore, medical prices and education were the main factors that affected unmet medical demand; therefore, policy making should pay more attention to reducing medical costs and promoting health education.

Suggested Citation

  • Pengfei Sheng & Tingting Yang & Tengfei Zhang, 2021. "The Unmet Medical Demand among China’s Urban Residents," IJERPH, MDPI, vol. 18(21), pages 1-13, November.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11708-:d:674264
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    1. Baltagi, Badi H., 2006. "An Alternative Derivation Of Mundlak'S Fixed Effects Results Using System Estimation," Econometric Theory, Cambridge University Press, vol. 22(6), pages 1191-1194, December.
    2. Connolly, Sheelah & Wren, Maev-Ann, 2017. "Unmet healthcare needs in Ireland: Analysis using the EU-SILC survey," Health Policy, Elsevier, vol. 121(4), pages 434-441.
    3. Sabine Chaupain-Guillot & Olivier Guillot, 2015. "Health system characteristics and unmet care needs in Europe: an analysis based on EU-SILC data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(7), pages 781-796, September.
    4. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    5. Richard Blundell & Frank Windmeijer, 2000. "Identifying demand for health resources using waiting times information," Health Economics, John Wiley & Sons, Ltd., vol. 9(6), pages 465-474, September.
    6. Morris, Stephen & Sutton, Matthew & Gravelle, Hugh, 2005. "Inequity and inequality in the use of health care in England: an empirical investigation," Social Science & Medicine, Elsevier, vol. 60(6), pages 1251-1266, March.
    7. Ariizumi, Hideki, 2008. "Effect of public long-term care insurance on consumption, medical care demand, and welfare," Journal of Health Economics, Elsevier, vol. 27(6), pages 1423-1435, December.
    8. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    9. Zhou, Zhongliang & Su, Yanfang & Gao, Jianmin & Xu, Ling & Zhang, Yaoguang, 2011. "New estimates of elasticity of demand for healthcare in rural China," Health Policy, Elsevier, vol. 103(2), pages 255-265.
    10. Narayan, Paresh Kumar & Narayan, Seema, 2008. "Does environmental quality influence health expenditures? Empirical evidence from a panel of selected OECD countries," Ecological Economics, Elsevier, vol. 65(2), pages 367-374, April.
    11. Stefan Fors & Mats Thorslund, 2015. "Enduring inequality: educational disparities in health among the oldest old in Sweden 1992–2011," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 60(1), pages 91-98, January.
    12. Mocan, H. Naci & Tekin, Erdal & Zax, Jeffrey S., 2004. "The Demand for Medical Care in Urban China," World Development, Elsevier, vol. 32(2), pages 289-304, February.
    13. Stefan Fors & Mats Thorslund, 2015. "Erratum to: Enduring inequality: educational disparities in health among the oldest old in Sweden 1992–2011," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 60(1), pages 99-99, January.
    14. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    15. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    16. Young Suk Yoon & Boyoung Jung & Dongsu Kim & In-Hyuk Ha, 2019. "Factors Underlying Unmet Medical Needs: A Cross-Sectional Study," IJERPH, MDPI, vol. 16(13), pages 1-19, July.
    17. Gabriella Conti & James Heckman & Sergio Urzua, 2010. "The Education-Health Gradient," American Economic Review, American Economic Association, vol. 100(2), pages 234-238, May.
    18. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    19. Damiano Fiorillo, 2020. "Reasons for unmet needs for health care: the role of social capital and social support in some western EU countries," International Journal of Health Economics and Management, Springer, vol. 20(1), pages 79-98, March.
    20. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    21. Mehdi Farsi & Massimo Filippini & Michael Kuenzle, 2005. "Unobserved heterogeneity in stochastic cost frontier models: an application to Swiss nursing homes," Applied Economics, Taylor & Francis Journals, vol. 37(18), pages 2127-2141.
    22. Joseph P. Newhouse & Charles E. Phelps, 1976. "New Estimates of Price and Income Elasticities of Medical Care Services," NBER Chapters, in: The Role of Health Insurance in the Health Services Sector, pages 261-320, National Bureau of Economic Research, Inc.
    23. Liljas, Bengt, 1998. "The demand for health with uncertainty and insurance," Journal of Health Economics, Elsevier, vol. 17(2), pages 153-170, April.
    24. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    25. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    26. Evelina Pappa & Nick Kontodimopoulos & Angelos Papadopoulos & Yannis Tountas & Dimitris Niakas, 2013. "Investigating Unmet Health Needs in Primary Health Care Services in a Representative Sample of the Greek Population," IJERPH, MDPI, vol. 10(5), pages 1-11, May.
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