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An impact evaluation of the Safe Motherhood Program in China

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  • Xing Lin Feng
  • Guang Shi
  • Yan Wang
  • Ling Xu
  • Hao Luo
  • Juan Shen
  • Hui Yin
  • Yan Guo

Abstract

Using 11 years of county-level panel data, fixed effect models are estimated to evaluate the impact of the Safe Motherhood (SM) Program in China. Propensity score matching is used to select comparable factual and counterfactual counties. Out of 2013 counties in China, 283 are selected for the treatment group and 1051 for the control group. The results support the causal relationship between the program and its targeted outcomes and the partial effects increases as years of exposure in the program: 7 years' treatment of the program increases hospital delivery rate by 3.992 per 100 live births and decreases Maternal mortality ratio (MMR) due to hemorrhage by 10.229 per 100 000 live births. Further modeling supports the conclusion that the program reduces MMR by enhancing MCH care. With an average annual incremental unit cost for the program of about 318.0 thousand RMB (39.8 thousand USD) per county, we conclude that the SM Program is effective in reducing MMR through the enhancement of hospital delivery. Copyright (C) 2010 John Wiley & Sons, Ltd.

Suggested Citation

  • Xing Lin Feng & Guang Shi & Yan Wang & Ling Xu & Hao Luo & Juan Shen & Hui Yin & Yan Guo, 2010. "An impact evaluation of the Safe Motherhood Program in China," Health Economics, John Wiley & Sons, Ltd., vol. 19(S1), pages 69-94, September.
  • Handle: RePEc:wly:hlthec:v:19:y:2010:i:s1:p:69-94
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    File URL: http://hdl.handle.net/10.1002/hec.1593
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    References listed on IDEAS

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    5. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 605-654.
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    7. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
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    Cited by:

    1. Thomas, Ranjeeta & Jones, Andrew M & Squire, Lyn, 2010. "Methods for Evaluating Innovative Health Programs (EIHP): A Multi-Country Study," MPRA Paper 29402, University Library of Munich, Germany.
    2. Squire, Lyn & Jones, Andrew M & Thomas, Ranjeeta, 2010. "Evaluating Innovative Health Programs: Lessons for Health Policy," MPRA Paper 29205, University Library of Munich, Germany.
    3. Evan Borkum & Dana Rotz & Anu Rangarajan & Swetha Sridharan & Sukhmani Sethi & Mercy Manoranjini & Lakshmi Ramakrishnan & Lalit Dandona & Rakhi Dandona & Priyanka S. Kochar & G. Anil Kumar & Priyanka , 2014. "Midline Findings from the Evaluation of the Ananya Program in Bihar," Mathematica Policy Research Reports 74ef56ababd9412b82ef906fc, Mathematica Policy Research.

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