IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v19y2010is1p69-94.html
   My bibliography  Save this article

An impact evaluation of the Safe Motherhood Program in China

Author

Listed:
  • 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 © 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
    DOI: 10.1002/hec.1593
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hec.1593
    Download Restriction: no
    File URL: https://libkey.io/10.1002/hec.1593?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    2. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    3. Jacobson, Louis S & LaLonde, Robert J & Sullivan, Daniel G, 1993. "Earnings Losses of Displaced Workers," American Economic Review, American Economic Association, vol. 83(4), pages 685-709, September.
    4. Smith, Jeffrey & Todd, Petra, 2005. "Rejoinder," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 365-375.
    5. 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.
    6. Sourafel Girma & David Paton, 2006. "Matching estimates of the impact of over‐the‐counter emergency birth control on teenage pregnancy," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 1021-1032, September.
    7. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    8. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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 , "undated". "Midline Findings from the Evaluation of the Ananya Program in Bihar," Mathematica Policy Research Reports 74ef56ababd9412b82ef906fc, Mathematica Policy Research.
    4. Haijun Wang & Fang Ye & Yan Wang & Dale Huntington & the study group for Economic Impact of Maternal Deaths in China, 2013. "Economic Impact of Maternal Death on Households in Rural China: A Prospective Cohort Study," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-9, October.

    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. Dettmann, Eva & Becker, Claudia & Schmeißer, Christian, 2010. "Is there a Superior Distance Function for Matching in Small Samples?," IWH Discussion Papers 3/2010, Halle Institute for Economic Research (IWH).
    2. Jochen Kluve & Boris Augurzky, 2007. "Assessing the performance of matching algorithms when selection into treatment is strong," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 533-557.
    3. Jasmin Kantarevic & Boris Kralj, 2013. "Link Between Pay For Performance Incentives And Physician Payment Mechanisms: Evidence From The Diabetes Management Incentive In Ontario," Health Economics, John Wiley & Sons, Ltd., vol. 22(12), pages 1417-1439, December.
    4. Eliasson, Kent, 2006. "How Robust is the Evidence on the Returns to College Choice? Results Using Swedish Administrative Data," Umeå Economic Studies 692, Umeå University, Department of Economics.
    5. Giuseppe PORRO & Stefano Maria IACUS, 2004. "Average treatment effect estimation via random recursive partitioning," Departmental Working Papers 2004-28, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    6. Kluve, Jochen & Lehmann, Hartmut & Schmidt, Christoph M., 2008. "Disentangling Treatment Effects of Active Labor Market Policies: The Role of Labor Force Status Sequences," Labour Economics, Elsevier, vol. 15(6), pages 1270-1295, December.
    7. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    8. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    9. A. Nivorozhkin & E. Nivorozhkin, 2007. "Do government sponsored vocational training programmes help the unemployed find jobs? Evidence from Russia," Applied Economics Letters, Taylor & Francis Journals, vol. 14(1), pages 5-10.
    10. Arnstein Aassve & Maria A. Davia & Maria Iacovou & Stefano Mazzuco, 2007. "Does Leaving Home Make You Poor? Evidence from 13 European Countries," European Journal of Population, Springer;European Association for Population Studies, vol. 23(3), pages 315-338, October.
    11. Edgar Silva Quintero & José Alberto Molina & J. Ignacio Gimenez-Nadal, 2016. "How Forced Displacements Caused by a Violent Conflict Affect Wages in Colombia," Working Papers id:10876, eSocialSciences.
    12. Jose C. Galdo & Jeffrey Smith & Dan Black, 2008. "Bandwidth Selection and the Estimation of Treatment Effects with Unbalanced Data," Annals of Economics and Statistics, GENES, issue 91-92, pages 189-216.
    13. Wendimu, Mengistu Assefa & Henningsen, Arne & Gibbon, Peter, 2016. "Sugarcane Outgrowers in Ethiopia: “Forced” to Remain Poor?," World Development, Elsevier, vol. 83(C), pages 84-97.
    14. Leombruni, Roberto & Razzolini, Tiziano & Serti, Francesco, 2013. "The pecuniary and non-pecuniary costs of job displacement—The risky job of being back to work," European Economic Review, Elsevier, vol. 61(C), pages 205-216.
    15. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    16. Anupam Nanda, 2005. "Property Condition Disclosure Law: Does 'Seller Tell All' Matter in Property Values?," Working papers 2005-47, University of Connecticut, Department of Economics, revised Jul 2006.
    17. Sourafel Girma & David Paton, 2006. "Matching estimates of the impact of over‐the‐counter emergency birth control on teenage pregnancy," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 1021-1032, September.
    18. Duong, Pham Bao & Thanh, Pham Tien, 2019. "Adoption and effects of modern rice varieties in Vietnam: Micro-econometric analysis of household surveys," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 282-292.
    19. Eliasson, Kent, 2006. "College Choice And Earnings Among University Graduates In Sweden," Umeå Economic Studies 693, Umeå University, Department of Economics.
    20. Sankar Mukhopadhyay & David Oxborrow, 2012. "The Value of an Employment-Based Green Card," Demography, Springer;Population Association of America (PAA), vol. 49(1), pages 219-237, February.

    More about this item

    Statistics

    Access and download statistics

    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:wly:hlthec:v:19:y:2010:i:s1:p:69-94. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    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.