Prague Economic Papers 2014, 23(2):233-249 | DOI: 10.18267/j.pep.482

Competent Alternative Model for the Peasants' Medical Expenditures in China: A Case of New Rural Cooperative Medical Service System (Nrcms) in Zhejiang Province

Lu Wencong1, Cheng Ying2, Mohummed Shofi Ullah Mazumder3
1 Dept. of Agriculture, Economics and Management, School of Management, Zhejiang University, Hangzhou-310085, China (wenclu@zju.edu.cn).
2 School of Management, Zhejiang University, Hangzhou, China & Accounting College, Hangzhou Dianzi University, Hangzhou, China (corresponding author) (chengying_hz@163.com).
3 School of Management, Zhejiang University, Hangzhou, China & Dept. of AEIS, Sher-e-Bangla Agril. University, Sher-e-Bangla Nagar, Dhaka-1207, Bangladesh (shofi_keron@yahoo.com).

The New Rural Cooperative Medical Service System (NRCMS) in China has been established to ensure improved medical care support for all categories of Chinese peasants to offset their burden of excessive medical care expenditures. The primary aim of this paper is to identify an appropriate alternative modelling approach for the patients' medical expenditures. Data were collected from Jiaojiang city through cluster and multistage random sampling procedure, which was comprised of 4,630 enrolled rural people under NRCMS. The paper presented the first comparison of common econometric medical expenditures modelling approaches. Major findings reveal that the Generalized Linear Model (GLM) predictive accuracy appears to be better than the Finite Mixture Model (FMM) and GLM (log link) was the best performer among all approaches. It may be attributed due to the structural difference of medical expenditures between China and other developing countries compared to the developed countries. This suggests that the Chinese government may find an alternative to choose GLM approach among others to minimize the peasants' medical expenditures under NRCMS.

Keywords: New Rural Cooperative Medical Service System (NRCMS), Patients´ Medical Expenditures,, Generalized Linear Model (GLM) and Finite Mixture Model (FMM)
JEL classification: C52, H51, I18

Published: January 1, 2014  Show citation

ACS AIP APA ASA Harvard Chicago IEEE ISO690 MLA NLM Turabian Vancouver
Wencong, L., Ying, C., & Mazumder, M.S.U. (2014). Competent Alternative Model for the Peasants' Medical Expenditures in China: A Case of New Rural Cooperative Medical Service System (Nrcms) in Zhejiang Province. Prague Economic Papers23(2), 233-249. doi: 10.18267/j.pep.482
Download citation

References

  1. Becker, G. S. (1964), Human Capital. Chicago, Illinois: University of Chicago Press.
  2. Blough, D. K., Madden, C. W., Hornbrook, M. C. (1999), "Modeling Risk Using Generalized Linear Models." Journal of Health Economics, Vol. 18, No. 2, pp. 153-171. Go to original source...
  3. Buntin, M. B., Zaslavsky, A. M. (2004), "Too Much Ado about Two-part Models and Transformation? Comparing Methods of Modeling Medicare Expenditures." Journal of Health Economics, Vol. 23, No. 3, pp. 525-542. Go to original source...
  4. Deb, P., Trivedi, P. K. (2002), "The Structure of Demand for Health Care: Latent Class versus Two-part Models." Journal of Health Economics, Vol. 21, No. 4, pp. 601-625. Go to original source...
  5. Duan, N. (1983), "Smearing Estimate: A Nonparametric Retransformation Method." Journal of the American Statistical Association, Vol. 78, No. 383, pp. 605-610. Go to original source...
  6. Fen, J., Qin, B. (2006), "Consumption of Medical Care in Rural China." World Economic Papers, No. 1, pp. 75-88.
  7. Gerdtham, U., Trivedi, P. K. (2001), "Equity in Swedish Health Care Reconsidered: New Results Based on the Finite Mixture Model." Journal of Health Economics, Vol. 10, No. 6. Go to original source...
  8. Grossman, M. (1972), The Demand for Health: A Theoretical and Empirical Investigation. New York: Columbia University Press for NBER.
  9. Huang, F., Gan, L. (2010), "Excess Demand or Appropriate Demand? Health Insurance, Medical Care and Mortality of the Elderly in Urban China." Economic Research Journal, No. 6, pp. 105-119.
  10. Hay, J. W., Olsen, R. J. (1984), "Let Them Eat Cake: A Note on Comparing Alternative Models of the Demand for Medical Care." Journal of Business & Economic Statistics, Vol. 2, No. 3, pp. 279-282. Go to original source...
  11. Kaplan, R., Anderson, J. P. (1988), "A General Health Policy Model: Update and Applications." Health Services Research, Vol. 23, No. 2, pp. 203-235.
  12. Kenkel, D. (1990), "Consumer Health Information and the Demand for Medical Care." The Review of Economics and Statistics, Vol. 72, No. 4, pp. 587-595. Go to original source...
  13. Klugman, S. A., Panjer, H. H., Willmot, G. E. (2008), Loss Models: From Data to Decisions. 3rd edition. New Jersey: John Wiley & Sons. Go to original source...
  14. Lin, X., Shu, Y. (2007), "Determinants of the Chinese Residents' Medical Expenditures." South China Journal of Economics, No. 6, pp. 22-30.
  15. McCullagh, P., Nelder, J. A. (1989), Generalized Linear Models. 2nd edition. London: Chapman and Hall. Go to original source...
  16. Mocan, H., Tekin, N., Jeffrey, E., Zax, S. (2004), "The Demand for Medical Care in Urban China." World Development, Vol. 32, No. 2, pp. 289-304. Go to original source...
  17. Ministry of Health of the People's Republic of China. National Statistical Communiqué on the Development of Health Service, 2004-2009. Available at http://www.moh.gov.cn/publicfiles/business/htmlfiles/zwgkzt/pgb/index.htm.
  18. Rajkotia, Y. (2009), "National Health Insurance in Ghana: Politics, Adverse Selection, and the Use of Child Health Services." Dissertation at the Johns Hopkins University. Available at http://gradworks.umi.com/33/57/3357175.html.
  19. Rein, D. B. (2005), "A Matter of Classes: Stratifying Health Care Populations to Produce Better Estimates of Inpatient Costs." Health Services Research, Vol. 40, No. 4, pp. 1217-1233. Go to original source...
  20. Sosa-Rubi, S. G. (2004), "Modeling Maternal Health Care Utilization in Mexico: Latent Class Analysis for Modeling Unobserved Heterogeneity in the Population." Applied Health Economics and Health Policy, Vol. 3, No. 1 (supplement), p. 64.
  21. Xie, E. (2009), "Income-related Inequality of Health and Health Care Utilization." Economic Research Journal, No. 2, pp. 92-105.
  22. Zhao, Z. (2006), "Health Condition and Influence Factors of China's Rural Population." Management World, No. 3, pp. 78-85.

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY NC ND 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.