IDEAS home Printed from https://ideas.repec.org/a/eee/epplan/v106y2024ics0149718924000740.html
   My bibliography  Save this article

Public healthcare efficiency in India: Estimates and determinants using two stage DEA approach

Author

Listed:
  • Dar, Khursheed Hussain
  • Raina, Shahid Hamid

Abstract

Nearly 400 million Indians (30 % of the total population) lack any financial protection for health which leads to very high out of pocket expenditure. In India more than 90 million people spend 10–25 % of household expenses on healthcare. This is a serious threat to Sustainable Development Goal 3, which aims at providing universal health coverage along with protection from catastrophic spending on health.

Suggested Citation

  • Dar, Khursheed Hussain & Raina, Shahid Hamid, 2024. "Public healthcare efficiency in India: Estimates and determinants using two stage DEA approach," Evaluation and Program Planning, Elsevier, vol. 106(C).
  • Handle: RePEc:eee:epplan:v:106:y:2024:i:c:s0149718924000740
    DOI: 10.1016/j.evalprogplan.2024.102472
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0149718924000740
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.evalprogplan.2024.102472?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    2. Hawdon, David, 2003. "Efficiency, performance and regulation of the international gas industry--a bootstrap DEA approach," Energy Policy, Elsevier, vol. 31(11), pages 1167-1178, September.
    3. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    4. Ohene-Asare, Kwaku & Turkson, Charles & Afful-Dadzie, Anthony, 2017. "Multinational operation, ownership and efficiency differences in the international oil industry," Energy Economics, Elsevier, vol. 68(C), pages 303-312.
    5. William Greene, 2004. "Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization's panel data on national health care systems," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 959-980, October.
    6. Chen, Simiao & Kuhn, Michael & Prettner, Klaus & Bloom, David E. & Wang, Chen, 2021. "Macro-level efficiency of health expenditure: Estimates for 15 major economies," Social Science & Medicine, Elsevier, vol. 287(C).
    7. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    8. A S Camanho & R G Dyson, 2005. "Cost efficiency, production and value-added models in the analysis of bank branch performance," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(5), pages 483-494, May.
    9. D. N. Rao & R. L. Bhat, 1991. "Estimation of A Community Health Status Index on the Basis of a MIMIC Model," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 26(1), pages 51-63, January.
    10. Peipei Chai & Quan Wan & Yohannes Kinfu, 2021. "Efficiency and productivity of health systems in prevention and control of non-communicable diseases in China, 2008–2015," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(2), pages 267-279, March.
    11. Ms. Victoria Gunnarsson & Sergio Lugaresi & Marijn Verhoeven, 2007. "The Health Sector in the Slovak Republic: Efficiency and Reform," IMF Working Papers 2007/226, International Monetary Fund.
    12. Kok Fong See & Siew Hwa Yen, 2018. "Does happiness matter to health system efficiency? A performance analysis," Health Economics Review, Springer, vol. 8(1), pages 1-10, December.
    13. Bruce Hollingsworth & John Wildman, 2003. "The efficiency of health production: re‐estimating the WHO panel data using parametric and non‐parametric approaches to provide additional information," Health Economics, John Wiley & Sons, Ltd., vol. 12(6), pages 493-504, June.
    14. Mahlberg, Bernhard & Url, Thomas, 2010. "Single Market effects on productivity in the German insurance industry," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1540-1548, July.
    15. António Afonso & Miguel St. Aubyn, 2006. "Relative Efficiency of Health Provision: a DEA Approach with Non-discretionary Inputs," Working Papers Department of Economics 2006/33, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    16. Guangwen Gong & Yingchun Chen & Hongxia Gao & Dai Su & Jingjing Chang, 2019. "Has the Efficiency of China’s Healthcare System Improved after Healthcare Reform? A Network Data Envelopment Analysis and Tobit Regression Approach," IJERPH, MDPI, vol. 16(23), pages 1-12, December.
    17. Khursheed Hussain Dar & Tariq Ahmad Bhat, 2018. "Health Sector Efficiency Across Indian States Using Stochastic Frontier Analysis," Asian Development Policy Review, Asian Economic and Social Society, vol. 6(1), pages 15-19.
    18. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    19. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    20. C. S. Verma & Gulnawaz Usmani, 2019. "Relationship Between Health and Economic Growth in India," Indian Journal of Human Development, , vol. 13(3), pages 344-356, December.
    21. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    22. Umakant Dash & S. D. Vaishnavi & V. R. Muraleedharan, 2008. "Technical efficiency in the Use of Health Care Resources: A Case Study of Tamil Nadu," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 43(1), pages 69-82, July.
    23. Subal Kumbhakar, 2010. "Efficiency and productivity of world health systems: where does your country stand?," Applied Economics, Taylor & Francis Journals, vol. 42(13), pages 1641-1659.
    24. Prachitha J. & K.R. Shanmugam, 2012. "Efficiency of Raising Health Outcomes in the Indian States," Working Papers 2012-070, Madras School of Economics,Chennai,India.
    25. Volkan Recai Cetin & Serdal Bahce, 2016. "Measuring the efficiency of health systems of OECD countries by data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 48(37), pages 3497-3507, August.
    26. Khursheed Hussain Dar & Tariq Ahmad Bhat, 2018. "Health Sector Efficiency Across Indian States Using Stochastic Frontier Analysis," Asian Development Policy Review, Asian Economic and Social Society, vol. 6(1), pages 15-19, March.
    Full references (including those not matched with items on IDEAS)

    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. Ohene-Asare, Kwaku & Turkson, Charles & Afful-Dadzie, Anthony, 2017. "Multinational operation, ownership and efficiency differences in the international oil industry," Energy Economics, Elsevier, vol. 68(C), pages 303-312.
    2. Zhichao Wang & Bao Hoang Nguyen & Valentin Zelenyuk, 2024. "Performance analysis of hospitals in Australia and its peers: a systematic and critical review," Journal of Productivity Analysis, Springer, vol. 62(2), pages 139-173, October.
    3. Amir Moradi-Motlagh & Ali Emrouznejad, 2022. "The origins and development of statistical approaches in non-parametric frontier models: a survey of the first two decades of scholarly literature (1998–2020)," Annals of Operations Research, Springer, vol. 318(1), pages 713-741, November.
    4. Kyriacou, Andreas & Muinelo-Gallo, Leonel & Roca-Sagalés, Oriol, 2015. "On the redistributive efficiency of fiscal policy," MPRA Paper 63276, University Library of Munich, Germany.
    5. Sokol, Ondřej & Frýd, Lukáš, 2023. "DEA efficiency in agriculture: Measurement unit issues," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    6. Valentin Zelenyuk, 2019. "Data Envelopment Analysis and Business Analytics: The Big Data Challenges and Some Solutions," CEPA Working Papers Series WP072019, School of Economics, University of Queensland, Australia.
    7. George Halkos & Roman Matousek & Nickolaos Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    8. Kaffash, Sepideh & Azizi, Roza & Huang, Ying & Zhu, Joe, 2020. "A survey of data envelopment analysis applications in the insurance industry 1993–2018," European Journal of Operational Research, Elsevier, vol. 284(3), pages 801-813.
    9. Kyriacou, Andreas P. & Muinelo-Gallo, Leonel & Roca-Sagalés, Oriol, 2019. "The efficiency of transport infrastructure investment and the role of government quality: An empirical analysis," Transport Policy, Elsevier, vol. 74(C), pages 93-102.
    10. Oliver Tiemann & Jonas Schreyögg, 2012. "Changes in hospital efficiency after privatization," Health Care Management Science, Springer, vol. 15(4), pages 310-326, December.
    11. Halkos, George & Tzeremes, Nickolaos, 2011. "A conditional full frontier modelling for analyzing environmental efficiency and economic growth," MPRA Paper 32839, University Library of Munich, Germany.
    12. Afsharian, Mohsen & Kamali, Sara & Ahn, Heinz & Bogetoft, Peter, 2024. "Individualized second stage corrections in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 317(2), pages 563-577.
    13. Tiziana Cuccia & Calogero Guccio & Ilde Rizzo, 2017. "UNESCO sites and performance trend of Italian regional tourism destinations," Tourism Economics, , vol. 23(2), pages 316-342, March.
    14. 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.
    15. George E. Halkos & Roman Matousek & Nickolaos G. Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    16. Puertas, Rosa & Marti, Luisa & Guaita-Martinez, José M., 2020. "Innovation, lifestyle, policy and socioeconomic factors: An analysis of European quality of life," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    17. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    18. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    19. Camanho, Ana Santos & Silva, Maria Conceicao & Piran, Fabio Sartori & Lacerda, Daniel Pacheco, 2024. "A literature review of economic efficiency assessments using Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 315(1), pages 1-18.
    20. Aggelopoulos, Eleftherios & Georgopoulos, Antonios, 2017. "Bank branch efficiency under environmental change: A bootstrap DEA on monthly profit and loss accounting statements of Greek retail branches," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1170-1188.

    More about this item

    Keywords

    India; States; Public Health; Efficiency; Determinants;
    All these keywords.

    JEL classification:

    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

    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:eee:epplan:v:106:y:2024:i:c:s0149718924000740. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/evalprogplan .

    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.