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Inefficiency Factors in Basic Health Care Supply in Côte d’Ivoire: A Comparative Econometric Analysis

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  • Alliou S. Diarrassouba

Abstract

The achievement of universal health coverage has put Primary Health Care back at the center of policy orientations, particularly by identifying factors likely to improve the organization of peripheral facilities. However, this objective depends on the econometric methods used, especially for cross-sectional data and small sample sizes. This study aims to examine the sensitivity of the most usual estimation methods (Stochastic Frontier Analysis (SFA), Data Envelopment Analysis (DEA), DEA double bootstrap, Tobit, Truncated Standard Regression) for evaluating the scores and determinants of technical inefficiency of Primary Health Care Facilities (PHCF) in Côte d’Ivoire. Estimates show average technical efficiency scores of 94.13% for the DEA versus 89.61% for the SFA and 82.24% for the DEA double bootstrap. The results also indicate a proportion of determinants of technical inefficiency, in decreasing order of importance, with the DEA double bootstrap, the SFA, truncated regression and Tobit. This technical inefficiency can be improved in policies to promote basic health care by- increasing the proportion of nurses in the medical staff, the nurse/inhabitant ratio, the adult literacy rate by region, controlling the average capacity of the PHCFs, improving their geographical accessibility and reducing the rate of extreme poverty by health region.

Suggested Citation

  • Alliou S. Diarrassouba, 2021. "Inefficiency Factors in Basic Health Care Supply in Côte d’Ivoire: A Comparative Econometric Analysis," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 13(6), pages 1-46, June.
    • Handle: RePEc:ibn:ijefaa:v:13:y:2021:i:6:p:46
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    References listed on IDEAS

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    1. George Katharakis & Maria Katharaki & Theofanis Katostaras, 2014. "An empirical study of comparing DEA and SFA methods to measure hospital units' efficiency," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 21(3), pages 341-364.
    2. Varabyova, Yauheniya & Schreyögg, Jonas, 2013. "International comparisons of the technical efficiency of the hospital sector: Panel data analysis of OECD countries using parametric and non-parametric approaches," Health Policy, Elsevier, vol. 112(1), pages 70-79.
    3. Mohamed Nejib Ouertani & Nader Naifar & Hedi Ben Haddad, 2018. "Assessing government spending efficiency and explaining inefficiency scores: DEA-bootstrap analysis in the case of Saudi Arabia," Cogent Economics & Finance, Taylor & Francis Journals, vol. 6(1), pages 1493666-149, January.
    4. Tito N. Tiehi, 2020. "Technical Inefficiency of District Hospitals in Côte d'Ivoire: Measurement, Causes and Consequences," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 12(9), pages 1-35, September.
    5. Jacobs,Rowena & Smith,Peter C. & Street,Andrew, 2006. "Measuring Efficiency in Health Care," Cambridge Books, Cambridge University Press, number 9780521851442.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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