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Efficiency and Productivity changes in the presence of undesirable outcomes in Emergency Obstetric and Newborn Care

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  • Rajasulochana, Subramania Raju
  • Chen, Po-Chi

Abstract

This paper analyzes efficiency and productivity changes in Emergency Obstetric and Newborn care (EmONC) in regional public hospitals in India. A novel approach of Weighted Russell Directional Distance Function Model (WRDDFM) has been employed. This model considers all the radial and non-radial slacks associated with good outputs as well as the undesirable outcomes while estimating inefficiency and helps to identify the source of the inefficiency. The empirical results based on a sample of 46 regional public hospitals from 2006–07 to 2013–14 show on average overall inefficiency of 24% and much of these are due to inefficiencies associated with undesirable outcome of stillbirths and intra-uterine deaths. Further, on an average the sampled hospitals have experienced marginal productivity decline over the reform period. The study indicates that there is a greater scope for efficiency and productivity gains in public hospitals, particularly if the undesirable outcome of still birth is minimized.

Suggested Citation

  • Rajasulochana, Subramania Raju & Chen, Po-Chi, 2019. "Efficiency and Productivity changes in the presence of undesirable outcomes in Emergency Obstetric and Newborn Care," Journal of Policy Modeling, Elsevier, vol. 41(5), pages 905-925.
    • Handle: RePEc:eee:jpolmo:v:41:y:2019:i:5:p:905-925
    DOI: 10.1016/j.jpolmod.2019.03.001
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    References listed on IDEAS

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    2. Chen, Po-Chi & Yu, Ming-Miin & Chang, Ching-Cheng & Hsu, Shih-Hsun & Managi, Shunsuke, 2015. "The enhanced Russell-based directional distance measure with undesirable outputs: Numerical example considering CO2 emissions," Omega, Elsevier, vol. 53(C), pages 30-40.
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    2. Mustafa Jahangoshai Rezaee & Abuzar Karimdadi & Hamidreza Izadbakhsh, 2019. "Road map for progress and attractiveness of Iranian hospitals by integrating self-organizing map and context-dependent DEA," Health Care Management Science, Springer, vol. 22(3), pages 410-436, September.
    3. İlgün, Gülnur & Sönmez, Seda & Konca, Murat & Yetim, Birol, 2022. "Measuring the efficiency of Turkish maternal and child health hospitals: A two-stage data envelopment analysis," Evaluation and Program Planning, Elsevier, vol. 91(C).

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