IDEAS home Printed from https://ideas.repec.org/a/sbe/breart/v24y2004i1a2704.html
   My bibliography  Save this article

Relative deficit of health services in Brazilian states and regions

Author

Listed:
  • Gasparini, Carlos Eduardo
  • Ramos, Francisco S.

Abstract

The paper analyzes the allocation of health services to Brazilian states and regions. A relative service deficit indicator is constructed to achieve that goal, using equity-based criteria, which means equality of access for equal need. The Data Envelopment Analysis (DEA) is used to estimate the best service availability frontier for equal need. The results show great differences in the availability of health services among Brazilian states and regions. In regional terms, the situation of the South is the best one, whereas the North experiences the worst deficit of health services. These disparities highlight the importance of deficit assessment as an instrument to guide public action, especially in the Brazilian context, where the coverage and availability of health services is a constitutional rule.

Suggested Citation

  • Gasparini, Carlos Eduardo & Ramos, Francisco S., 2004. "Relative deficit of health services in Brazilian states and regions," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 24(1), May.
    • Handle: RePEc:sbe:breart:v:24:y:2004:i:1:a:2704
    as

    Download full text from publisher

    File URL: https://periodicos.fgv.br/bre/article/view/2704
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Façanha, Luís Otávio & Resende, Marcelo & Marinho, Alexandre, 1997. "Brazilian Federal Universities: Relative Efficiency Evaluation and Data Envelopment Analysis," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 51(4), October.
    2. Jaume Puig, 1999. "Radial measures of public services deficit for regional allocation of public funds," Economics Working Papers 439, Department of Economics and Business, Universitat Pompeu Fabra.
    3. A. Charnes & W. W. Cooper & E. Rhodes, 1981. "Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through," Management Science, INFORMS, vol. 27(6), pages 668-697, June.
    4. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
    5. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    6. Jaume Puig, 1999. "Radial measures of public services deficit for regional allocation of public funds," Working Papers, Research Center on Health and Economics 439, Department of Economics and Business, Universitat Pompeu Fabra.
    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. Pedro V. Amaral & Alan T. Murray, 2016. "Equity in regional access to renal dialysis in Brazil," Regional Science Policy & Practice, Wiley Blackwell, vol. 8(1-2), pages 27-44, March.
    2. Masayoshi Hayashi, 2011. "The effects of medical factors on transfer deficits in Public Assistance in Japan: a quantile regression analysis," International Journal of Health Economics and Management, Springer, vol. 11(4), pages 287-307, December.

    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. Glover, Fred & Sueyoshi, Toshiyuki, 2009. "Contributions of Professor William W. Cooper in Operations Research and Management Science," European Journal of Operational Research, Elsevier, vol. 197(1), pages 1-16, August.
    2. Ali, Agha Iqbal & Lerme, Catherine S. & Seiford, Lawrence M., 1995. "Components of efficiency evaluation in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 80(3), pages 462-473, February.
    3. Bolós, V.J. & Benítez, R. & Coll-Serrano, V., 2024. "Chance constrained directional models in stochastic data envelopment analysis," Operations Research Perspectives, Elsevier, vol. 12(C).
    4. Li, Susan X., 1998. "Stochastic models and variable returns to scales in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 104(3), pages 532-548, February.
    5. Kuosmanen, Timo & Post, Thierry & Scholtes, Stefan, 2007. "Non-parametric tests of productive efficiency with errors-in-variables," Journal of Econometrics, Elsevier, vol. 136(1), pages 131-162, January.
    6. Xu Zhang & Huaping Sun & Taohong Wang, 2022. "Impact of Financial Inclusion on the Efficiency of Carbon Emissions: Evidence from 30 Provinces in China," Energies, MDPI, vol. 15(19), pages 1-15, October.
    7. José França & João Figueiredo & Jair Lapa, 2010. "A DEA methodology to evaluate the impact of information asymmetry on the efficiency of not-for-profit organizations with an application to higher education in Brazil," Annals of Operations Research, Springer, vol. 173(1), pages 39-56, January.
    8. Zhimin Huang & Susan Li, 2001. "Stochastic DEA Models With Different Types of Input-Output Disturbances," Journal of Productivity Analysis, Springer, vol. 15(2), pages 95-113, March.
    9. Zhong, Wei & Yuan, Wei & Li, Susan X. & Huang, Zhimin, 2011. "The performance evaluation of regional R&D investments in China: An application of DEA based on the first official China economic census data," Omega, Elsevier, vol. 39(4), pages 447-455, August.
    10. Drebee, Hayder Abbas & Abdul Razak, Nor Azam, 2018. "Measuring the Efficiency of Colleges at the University of Al-Qadisiyah-Iraq: A Data Envelopment Analysis Approach," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 52(3), pages 153-166.
    11. Po, Rung-Wei & Guh, Yuh-Yuan & Yang, Miin-Shen, 2009. "A new clustering approach using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 199(1), pages 276-284, November.
    12. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    13. Haslem, John A. & Scheraga, Carl A. & Bedingfield, James P., 1999. "DEA efficiency profiles of U.S. banks operating internationally," International Review of Economics & Finance, Elsevier, vol. 8(2), pages 165-182, June.
    14. Rabeb KAMMOUN & Souhir ABBES, 2020. "The technical efficiency of Tunisian ports: Comparing data envelopment analysis and stochastic frontier analysis scores," Romanian Journal of Economics, Institute of National Economy, vol. 51(2(60)), pages 83-102, December.
    15. Huang, Zhimin & Li, Susan X., 1996. "Dominance stochastic models in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 95(2), pages 390-403, December.
    16. Verspagen, Bart & Werker, Claudia, 2003. "The Invisible College of The Economics of Innovation and Technological Change," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 21, pages 393-419, December.
    17. Reuben Elan & Verma Bharat Bhushan & Bhat Ramesh, 2001. "Hospital Efficiency: An Empirical Analysis of District and Grant-in-Aid Hospitals in Gujarat," IIMA Working Papers WP2001-07-05, Indian Institute of Management Ahmedabad, Research and Publication Department.
    18. Cook, Wade D. & Seiford, Larry M., 2009. "Data envelopment analysis (DEA) - Thirty years on," European Journal of Operational Research, Elsevier, vol. 192(1), pages 1-17, January.
    19. William Cooper & Zhimin Huang & Vedran Lelas & Susan Li & Ole Olesen, 1998. "Chance Constrained Programming Formulations for Stochastic Characterizations of Efficiency and Dominance in DEA," Journal of Productivity Analysis, Springer, vol. 9(1), pages 53-79, January.
    20. Mehdiloozad, Mahmood & Mirdehghan, S. Morteza & Sahoo, Biresh K. & Roshdi, Israfil, 2015. "On the identification of the global reference set in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 245(3), pages 779-788.

    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:sbe:breart:v:24:y:2004:i:1:a:2704. 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: Núcleo de Computação da FGV EPGE (email available below). General contact details of provider: https://edirc.repec.org/data/sbeeeea.html .

    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.