IDEAS home Printed from https://ideas.repec.org/a/eee/spacre/v17y2014i1p47-57.html
   My bibliography  Save this article

Medida de la eficiencia en entidades no lucrativas: un estudio empírico para fundaciones asistenciales

Author

Listed:
  • Martínez Franco, Carmen M.
  • Guzmán Raja, Isidoro

Abstract

La medida del rendimiento de cualquier unidad de decisión es un objetivo ciertamente deseable para conocer si la aplicación de sus recursos económicos (inputs) es adecuada en cada momento para conseguir su objetivo productivo. En este sentido, las entidades sin fines lucrativos no son ajenas a esta necesidad de gestión, presentando dificultades añadidas la medida de su desempeño, dado que por su carácter de «no lucrativas» su objetivo último no es la maximización de beneficio, sino la consecución de fines de carácter social, en ocasiones difícilmente cuantificables.

Suggested Citation

  • Martínez Franco, Carmen M. & Guzmán Raja, Isidoro, 2014. "Medida de la eficiencia en entidades no lucrativas: un estudio empírico para fundaciones asistenciales," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 17(1), pages 47-57.
    • Handle: RePEc:eee:spacre:v:17:y:2014:i:1:p:47-57
    DOI: 10.1016/j.rcsar.2013.08.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S113848911300023X
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.rcsar.2013.08.005?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
    ---><---

    References listed on IDEAS

    as
    1. Lucía Isabel García Cebrián & Carmen Marcuello Servós, 2007. "Eficiencia y captación de fondos en las Organizaciones No Gubernamentales para el Desarrollo," CIRIEC-España, revista de economía pública, social y cooperativa, CIRIEC-España, issue 58, pages 221-249, August.
    2. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    3. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    4. 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.
    5. Leigh Drake & Richard Simper, 2002. "X-efficiency and scale economies in policing: a comparative study using the distribution free approach and DEA," Applied Economics, Taylor & Francis Journals, vol. 34(15), pages 1859-1870.
    6. Francesc Trillas & Daniel Montolio & Néstor Duch, 2011. "Productive Efficiency And Regulatory Reform: The Case Of Vehicle Inspection Services," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 19(1), pages 33-59, Spring.
    7. Drake, Leigh & Simper, R., 2003. "The measurement of English and Welsh police force efficiency: A comparison of distance function models," European Journal of Operational Research, Elsevier, vol. 147(1), pages 165-186, May.
    8. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    9. 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.
    10. El-Mahgary, Sami & Lahdelma, Risto, 1995. "Data envelopment analysis: Visualizing the results," European Journal of Operational Research, Elsevier, vol. 83(3), pages 700-710, June.
    11. Chilingerian, Jon A., 1995. "Evaluating physician efficiency in hospitals: A multivariate analysis of best practices," European Journal of Operational Research, Elsevier, vol. 80(3), pages 548-574, February.
    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. 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.
    2. 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.
    3. Büschken, Joachim, 2009. "When does data envelopment analysis outperform a naïve efficiency measurement model?," European Journal of Operational Research, Elsevier, vol. 192(2), pages 647-657, January.
    4. Cristian Barra & Roberto Zotti, 2016. "Measuring Efficiency in Higher Education: An Empirical Study Using a Bootstrapped Data Envelopment Analysis," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 22(1), pages 11-33, February.
    5. Wu, Tai-Hsi & Chen, Ming-Shiun & Yeh, Jin-Yii, 2010. "Measuring the performance of police forces in Taiwan using data envelopment analysis," Evaluation and Program Planning, Elsevier, vol. 33(3), pages 246-254, August.
    6. Tingting Yang & Xuefeng Guan & Yuehui Qian & Weiran Xing & Huayi Wu, 2019. "Efficiency Evaluation of Urban Road Transport and Land Use in Hunan Province of China Based on Hybrid Data Envelopment Analysis (DEA) Models," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    7. Kyuseok Lee & Kyuwan Choi, 2010. "Cross redundancy and sensitivity in DEA models," Journal of Productivity Analysis, Springer, vol. 34(2), pages 151-165, October.
    8. Santos, Sérgio P. & São José, José M.S., 2018. "Measuring and decomposing the gender pay gap: A new frontier approachAuthor-Name: Amado, Carla A.F," European Journal of Operational Research, Elsevier, vol. 271(1), pages 357-373.
    9. Pınar Kaya Samut & Reyhan Cafrı, 2016. "Analysis of the Efficiency Determinants of Health Systems in OECD Countries by DEA and Panel Tobit," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(1), pages 113-132, October.
    10. Chenghan Guo & Rong Zhang & Yuntao Zou, 2023. "The Efficiency of China’s Agricultural Circular Economy and Its Influencing Factors under the Rural Revitalization Strategy: A DEA–Malmquist–Tobit Approach," Agriculture, MDPI, vol. 13(7), pages 1-26, July.
    11. repec:lan:wpaper:1031 is not listed on IDEAS
    12. E Thanassoulis & M Kortelainen & G Johnes & J Johnes, 2011. "Costs and efficiency of higher education institutions in England: a DEA analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1282-1297, July.
    13. Kao, Chiang & Liu, Shiang-Tai, 2016. "A parallel production frontiers approach for intertemporal efficiency analysis: The case of Taiwanese commercial banks," European Journal of Operational Research, Elsevier, vol. 255(2), pages 411-421.
    14. Adler, Nicole & Raveh, Adi, 2008. "Presenting DEA graphically," Omega, Elsevier, vol. 36(5), pages 715-729, October.
    15. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    16. Chen, Nengcheng & Xu, Lei & Chen, Zeqiang, 2017. "Environmental efficiency analysis of the Yangtze River Economic Zone using super efficiency data envelopment analysis (SEDEA) and tobit models," Energy, Elsevier, vol. 134(C), pages 659-671.
    17. repec:lan:wpaper:1046 is not listed on IDEAS
    18. Marcel Clermont, 2016. "Effectiveness and efficiency of research in Germany over time: an analysis of German business schools between 2001 and 2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1347-1381, September.
    19. 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.
    20. Rita Bastião & Nuno de Sousa Pereira, 2020. "Performance in the Delivery of Primary Health Care Services: A Longitudinal Analysis," CEF.UP Working Papers 2002, Universidade do Porto, Faculdade de Economia do Porto.
    21. repec:lan:wpaper:1109 is not listed on IDEAS
    22. Thanh Ngo & David Tripe & Duc Khuong Nguyen, 2024. "Estimating the productivity of US agriculture: The Fisher total factor productivity index for time series data with unknown prices," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 68(3), pages 701-712, July.
    23. Rafael Benítez & Vicente Coll-Serrano & Vicente J. Bolós, 2021. "deaR-Shiny: An Interactive Web App for Data Envelopment Analysis," Sustainability, MDPI, vol. 13(12), pages 1-19, June.

    More about this item

    Keywords

    Economía social; Entidades sin fines lucrativos; Eficiencia; Productividad; Análisis envolvente de datos; Índice de Malmquist; Regresión con datos de panel; Social economy; Non-profit organizations; Efficiency; Productivity; Data envelopment analysis; Malmquist index; Panel data regression;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • L31 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Nonprofit Institutions; NGOs; Social Entrepreneurship
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • L31 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Nonprofit Institutions; NGOs; Social Entrepreneurship

    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:spacre:v:17:y:2014:i:1:p:47-57. 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: https://www.journals.elsevier.com/intelligence .

    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.