IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/24533.html
   My bibliography  Save this paper

Determinantes da Eficiência dos Gastos Públicos em Educação e Saúde: O caso do Ceará
[Measuring and Explaining the Local Government Efficiency in Ceara: Evidence from Education and Health]

Author

Listed:
  • Feitosa Lopes, Daniel Alisson
  • Neto, Nicolino Trompieri
  • Barbosa, Macelo Ponte
  • Holanda, Marcos Costa

Abstract

The main objective of this study is to assess the quality of municipal spending of the State of Ceara in education and health. Using the non-parametric methodology data envelopment analysis, efficiency rates are estimated, considering indicators of input and product. To do so, a bias correction proposed by Simar and Wilson (1998) is applied and estimated in rates, generating robust rankings of efficiency. Then applies a regression model with censored dependent variable (Tobit) in order to examine the impact of certain variables on the estimated efficiency rates. The main contribution of this work is to examine the determinants of the quality of public spending at the municipal level differentiating between products (inputs) offered to the population and results (outputs) effectively achieved by the municipal administrations, from the regression analysis perspective.

Suggested Citation

  • Feitosa Lopes, Daniel Alisson & Neto, Nicolino Trompieri & Barbosa, Macelo Ponte & Holanda, Marcos Costa, 2008. "Determinantes da Eficiência dos Gastos Públicos em Educação e Saúde: O caso do Ceará [Measuring and Explaining the Local Government Efficiency in Ceara: Evidence from Education and Health]," MPRA Paper 24533, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:24533
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/24533/1/MPRA_paper_24533.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    2. De Borger, Bruno & Kerstens, Kristiaan, 1996. "Cost efficiency of Belgian local governments: A comparative analysis of FDH, DEA, and econometric approaches," Regional Science and Urban Economics, Elsevier, vol. 26(2), pages 145-170, April.
    3. 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.
    4. De Borger, B & Kerstens, K. & Moesen, W. & Vanneste, J., 1994. "Explaining Differences in Productive Efficiency: An Application to Belgian Municipalities," Public Choice, Springer, vol. 80(3-4), pages 339-358, September.
    5. 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.
    6. 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.
    7. Antonio Afonso & Carla Scaglioni, 2005. "Public Services Efficiency Provision in Italian Regions: a Non-Parametric Analysis," Working Papers Department of Economics 2005/02, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    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. Cuadrado-Ballesteros, Beatriz & García-Sánchez, Isabel-María & Prado-Lorenzo, José-Manuel, 2013. "Effect of modes of public services delivery on the efficiency of local governments: A two-stage approach," Utilities Policy, Elsevier, vol. 26(C), pages 23-35.
    2. Isabel Narbón-Perpiñá & Maria Balaguer-Coll & Emili Tortosa-Ausina, 2019. "Evaluating local government performance in times of crisis," Local Government Studies, Taylor & Francis Journals, vol. 45(1), pages 64-100, January.
    3. Bernardino Benito & José Solana & María-Rocío Moreno, 2014. "Explaining efficiency in municipal services providers," Journal of Productivity Analysis, Springer, vol. 42(3), pages 225-239, December.
    4. Halkos, George & Tzeremes, Nickolaos, 2011. "Population density and regional welfare efficiency," MPRA Paper 30097, University Library of Munich, Germany.
    5. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499.
    6. Philippe K. Widmer & Peter Zweifel, 2008. "Public Good Provision in a Federalist Country: Tiebout Competition, Fiscal Equalization, and Incentives for Efficiency in Switzerland," SOI - Working Papers 0804, Socioeconomic Institute - University of Zurich, revised Dec 2010.
    7. Kristof De Witte & Rui Marques, 2010. "Designing performance incentives, an international benchmark study in the water sector," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 18(2), pages 189-220, June.
    8. Nadia M. Guerrero & Juan Aparicio & Daniel Valero-Carreras, 2022. "Combining Data Envelopment Analysis and Machine Learning," Mathematics, MDPI, vol. 10(6), pages 1-22, March.
    9. Thanh Ngo & Kan Wai Hong Tsui, 2022. "Estimating the confidence intervals for DEA efficiency scores of Asia-Pacific airlines," Operational Research, Springer, vol. 22(4), pages 3411-3434, September.
    10. Michael Zschille & Matthias Walter, 2012. "The performance of German water utilities: a (semi)-parametric analysis," Applied Economics, Taylor & Francis Journals, vol. 44(29), pages 3749-3764, October.
    11. Esteve, Miriam & Aparicio, Juan & Rodriguez-Sala, Jesus J. & Zhu, Joe, 2023. "Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull," European Journal of Operational Research, Elsevier, vol. 304(2), pages 729-744.
    12. Franz Hahn, 2007. "Environmental determinants of banking efficiency in Austria," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 34(3), pages 231-245, July.
    13. Xi Wei & Cheng Xiran, 2018. "The Difference of Capital Input and Productivity in Service Industries: Based on Four Stages Bootstrap-DEA Model," Journal of Systems Science and Information, De Gruyter, vol. 6(4), pages 320-335, August.
    14. Halkos, George & Tzeremes, Nickolaos, 2012. "Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach," MPRA Paper 41516, University Library of Munich, Germany.
    15. Franz R. Hahn, 2005. "Determinants of Bank Profitability in Austria. A Micro-Macro Approach," WIFO Studies, WIFO, number 25688.
    16. Olga Goncalves & Elisabeth Robinot & Hélène Michel, 2015. "Does It Pay to Be Green? The Case of French Ski Resorts," Grenoble Ecole de Management (Post-Print) hal-01591790, HAL.
    17. Amir Moradi-Motlagh & Ali Salman Saleh, 2014. "Re-Examining the Technical Efficiency of Australian Banks: A Bootstrap DEA Approach," Australian Economic Papers, Wiley Blackwell, vol. 53(1-2), pages 112-128, June.
    18. Mohamed Dia & Amirmohsen Golmohammadi & Pawoumodom M. Takouda, 2020. "Relative Efficiency of Canadian Banks: A Three-Stage Network Bootstrap DEA," JRFM, MDPI, vol. 13(4), pages 1-25, April.
    19. Olga Goncalves & Elisabeth Robinot & Hélène Michel, 2015. "Does It Pay to Be Green? The Case of French Ski Resorts," Post-Print hal-01591790, HAL.
    20. Carlos Barros & Pedro Garcia-del-Barrio, 2011. "Productivity drivers and market dynamics in the Spanish first division football league," Journal of Productivity Analysis, Springer, vol. 35(1), pages 5-13, February.

    More about this item

    Keywords

    Two-stages DEA;

    JEL classification:

    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education

    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:pra:mprapa:24533. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.