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ORIGINAL RESEARCH

Health Poverty Alleviation Project in Rural China: Impact on Poverty Vulnerability, Health Status, Healthcare Utilization, Health Expenditures

ORCID Icon, ORCID Icon & ORCID Icon
Pages 2685-2702 | Received 17 Sep 2023, Accepted 02 Dec 2023, Published online: 08 Dec 2023

References

  • Wagstaff A, Flores G, Hsu J, et al. Progress on catastrophic health spending in 133 countries: a retrospective observational study. Lancet Glob Health. 2018;6(2):e169–e179. doi:10.1016/S2214-109X(17)30429-1
  • van Doorslaer E, O’Donnell O, Rannan‐Eliya RP, et al. Catastrophic payments for health care in Asia. Health Econ. 2007;16(11):1159–1184. doi:10.1002/hec.1209
  • Wagstaff A. The economic consequences of health shocks: evidence from Vietnam. J Health Econ. 2007;26(1):82–100. doi:10.1016/j.jhealeco.2006.07.001
  • Wagstaff A, van Doorslaer E. Catastrophe and impoverishment in paying for health care: with applications to Vietnam 1993-1998. Health Econ. 2003;12(11):921–934. doi:10.1002/hec.776
  • Wang H, Zhang L, Hsiao W. Ill health and its potential influence on household consumptions in rural China. Health Policy. 2006;78(2–3):167–177. doi:10.1016/j.healthpol.2005.09.008
  • Xu K, Evans DB, Kawabata K, Zeramdini R, Klavus J, Murray CJ. Household catastrophic health expenditure: a multicountry analysis. Lancet. 2003;362(9378):111–117. doi:10.1016/s0140-6736(03)13861-5
  • Xinhua News Agency. Nearly half of the poor people have been impoverished due to illness. China initiated relevant investigation work. The State Council The People’s Republic of China. Available from: https://www.gov.cn/xinwen/2016-04/28/content_5068915.htm. Accessed July 9, 2023.
  • Wang P Implementation of the Health Poverty Alleviation Project Preventing poverty caused by illness from returning to poverty. People’s Daily Online; August 09, 2023. Available from: http://health.people.com.cn/n1/2017/0321/c14739-29157995.html. Accessed August 9, 2023.
  • Zhou Y, Guo Y, Liu Y. Health, income and poverty: evidence from China’s rural household survey. Int J Equity Health. 2020;19(1):36. doi:10.1186/s12939-020-1121-0
  • Lei X, Lin W. The new cooperative medical scheme in rural China: does more coverage mean more service and better health? Health Econ. 2009;18(Suppl S2):S25–46. doi:10.1002/hec.1501
  • Wang N, Xu J, Ma M, et al. Targeting vulnerable groups of health poverty alleviation in rural China- what is the role of the New Rural Cooperative Medical Scheme for the middle age and elderly population? Int J Equity Health. 2020;19(1):161. doi:10.1186/s12939-020-01236-x
  • Babiarz KS, Miller G, Yi H, Zhang L, Rozelle S. China’s new cooperative medical scheme improved finances of township health centers but not the number of patients served. Health Aff (Millwood). 2012;31(5):1065–1074. doi:10.1377/hlthaff.2010.1311
  • Wagstaff A, Lindelow M, Jun G, Ling X, Juncheng Q. Extending health insurance to the rural population: an impact evaluation of China’s new cooperative medical scheme. J Health Econ. 2009;28(1):1–19. doi:10.1016/j.jhealeco.2008.10.007
  • Yi H, Zhang L, Singer K, Rozelle S, Atlas S. Health insurance and catastrophic illness: a report on the New Cooperative Medical System in rural China. Health Econ. 2009;18 Suppl 2:S119–27. doi:10.1002/hec.1510.
  • Yip W, Hsiao WC. Non-evidence-based policy: how effective is China’s new cooperative medical scheme in reducing medical impoverishment? Soc Sci Med. 2009;68(2):201–209. doi:10.1016/j.socscimed.2008.09.066
  • You X, Kobayashi Y. The new cooperative medical scheme in China. Health Policy. 2009;91(1):1–9. doi:10.1016/j.healthpol.2008.11.012
  • Meng Q, Fang H, Liu X, Yuan B, Xu J. Consolidating the social health insurance schemes in China: towards an equitable and efficient health system. Lancet. 2015;386(10002):1484–1492. doi:10.1016/S0140-6736(15)00342-6
  • Tang S, Yao L, Ye C, et al. Can health service equity alleviate the health expenditure poverty of Chinese patients? Evidence from the CFPS and China health statistics yearbook. BMC Health Serv Res. 2021;21(1):718. doi:10.1186/s12913-021-06675-y
  • Zou Q, He X, Li Z, Xu W, Zhang L. The effects of poverty reduction policy on health services utilization among the rural poor: a quasi-experimental study in central and western rural China. Int J Equity Health. 2019;18(1):186. doi:10.1186/s12939-019-1099-7
  • Zeng W, Zhao P, Zhao Y, Saddique R. The multidimensional relative poverty of rural older adults in China and the effect of the health poverty alleviation policy. Front Public Health. 2022;10:793673. doi:10.3389/fpubh.2022.793673
  • Chen C, Pan J. The effect of the health poverty alleviation project on financial risk protection for rural residents: evidence from Chishui City, China. Int J Equity Health. 2019;18(1):79. doi:10.1186/s12939-019-0982-6
  • Chen C, Chen T, Pan J. Effect of health poverty alleviation project on the economic burden of disease among poor households: empirical evidence from Sichuan Province. Sichuan Da Xue Xue Bao Yi Xue Ban. 2023;54(2):393–399. doi:10.12182/20230360105
  • Lu J, Zhang M, Zhang J, Xu C, Cheng B. Can health poverty alleviation project reduce the economic vulnerability of poor households? Evidence from Chifeng City, China. Comput Ind Eng. 2021;162:107762. doi:10.1016/j.cie.2021.107762
  • Xu L, Wei C, Wang J. Effects of and problems in health poverty alleviation program in Shandong province: 2015 – 2017. Chin J Public Health. 2019;35(9):1110–1113. doi:10.11847/zgggws1123579
  • Zhang X, Luo Y, Chen W, Huang J. Relative acquisition evaluation of health poverty alleviation project: a quantitative study of data from different regions of China. BMC Public Health. 2022;22(1):2204. doi:10.1186/s12889-022-14703-7
  • Chaudhuri S, Jalan J, Suryahadi A Assessing household vulnerability to poverty from cross-sectional data: a methodology and estimates from Indonesia*. Columbia University Discussion Paper; 2002:1–25.
  • Günther I, Harttgen K. Estimating households vulnerability to idiosyncratic and covariate shocks: a novel method applied in Madagascar. World Dev. 2009;37(7):1222–1234. doi:10.1016/j.worlddev.2008.11.006
  • Cunningham WV, Maloney WF. Measuring vulnerability: who su ered in the 1995 Mexican crisis; 2000.
  • Glewwe P, Hall G. Are some groups more vulnerable to macroeconomic shocks than others? Hypothesis tests based on panel data from Peru. J Dev Econ. 1998;56(1):181–206. doi:10.1016/S0304-3878(98)00058-3
  • Pritchett L, Suryahadi A, Sumarto S. Quantifying vulnerability to poverty: a proposed measure, applied to Indonesia; 2000.
  • Angelillo N. Vulnerability to poverty in China: a subjective poverty line approach. J Chin Econ Bus Stud. 2014;12(4):315–331. doi:10.1080/14765284.2014.952512
  • Amemiya T. The maximum likelihood and the nonlinear three-stage least squares estimator in the general nonlinear simultaneous equation model. Econometrica. 1977;45(4):955–968. doi:10.2307/1912684
  • Pan J, Lei X, Liu GG. Health insurance and health status: exploring the causal effect from a policy intervention. Health Econ. 2016;25(11):1389–1402. doi:10.1002/hec.3225
  • Zhou Q, He Q, Eggleston K, Liu GG. Urban-rural health insurance integration in China: impact on health care utilization, financial risk protection, and health status. Appl Econ. 2022;54(22):2491–2509. doi:10.1080/00036846.2021.1998323
  • Katz E. Bias in conditional and unconditional fixed effects logit estimation. Political Analysis. 2001;9(4):379–384. doi:10.1093/oxfordjournals.pan.a004876
  • von Hippel PT, Workman J. From Kindergarten through second grade, U.S. children’s obesity prevalence grows only during summer vacations. Obesity. 2016;24(11):2296–2300. doi:10.1002/oby.21613
  • Baron RM, Kenny DA. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986;51(6):1173–1182. doi:10.1037//0022-3514.51.6.1173
  • Judd CM, Kenny DA. Process analysis: estimating mediation in treatment evaluations. Evaluation Review. 1981;5(5):602–619. doi:10.1177/0193841x8100500502
  • Abegunde DO, Stanciole AE. The economic impact of chronic diseases: how do households respond to shocks? Evidence from Russia. Soc Sci Med. 2008;66(11):2296–2307. doi:10.1016/j.socscimed.2008.01.041
  • Miao Y, Gu J, Zhang L, He R, Sandeep S, Wu J. Improving the performance of social health insurance system through increasing outpatient expenditure reimbursement ratio: a quasi-experimental evaluation study from rural China. Int J Equity Health. 2018;17(1):89. doi:10.1186/s12939-018-0799-8
  • Arrow KJ. Uncertainty and the welfare economics of medical care: reply (the implications of transaction costs and adjustment lags). Am Econ Rev. 1965;55(1/2):154–158.
  • Einav L, Finkelstein A. Moral hazard in health insurance: what we know and how we know it. J Eur Econ Assoc. 2018;16(4):957–982. doi:10.1093/jeea/jvy017
  • Manning WG, Newhouse JP, Duan N, Keeler EB, Leibowitz A, Marquis MS. Health insurance and the demand for medical care: evidence from a randomized experiment. Am Econ Rev. 1987;77(3):251–277.
  • Riphahn RT, Wambach A, Million A. Incentive effects in the demand for health care: a bivariate panel count data estimation. J Appl Econ. 2003;18(4):387–405.
  • Breyer F, Haufler A. Health care reform: separating insurance from income redistribution. Int Tax Public Finance. 2000;7(4):445–461. doi:10.1023/A:1008773103834
  • Dave D, Kaestner R. Health insurance and ex ante moral hazard: evidence from Medicare. Int J Health Care Finance Econ. 2009;9(4):367–390. doi:10.1007/s10754-009-9056-4
  • Ehrlich I, Becker GS. Market insurance, self-insurance, and self-protection. J Political Econ. 1972;80(4):623–648. doi:10.1086/259916
  • Pauly MV. The economics of Moral Hazard: comment. Parasitology. 1968;58(3):531–537. [ The American Economic Review]. doi:10.1017/s0031182000028833
  • Zweifel P, Manning WG. Chapter 8 - Moral Hazard and consumer incentives in health care* *The authors wish to thank Andrew Jones, Joe Newhouse, Edward Norton, and Wynand van de Ven for excellent suggestions and criticisms. In: Culyer AJ, Newhouse JP, editors. Handbook of Health Economics. Elsevier. 2000:409–459.
  • Xu K, Evans DB, Kadama P, et al. Understanding the impact of eliminating user fees: utilization and catastrophic health expenditures in Uganda. Soc Sci Med. 2006;62(4):866–876. doi:10.1016/j.socscimed.2005.07.004
  • Nemati E, Khezri A, Nosratnejad S. The study of out-of-pocket payment and the exposure of households with catastrophic health expenditures following the health transformation plan in Iran. Risk Manag Healthc Policy. 2020;13:1677–1685. doi:10.2147/RMHP.S264943