IDEAS home Printed from https://ideas.repec.org/a/rce/rvceco/31753.html
   My bibliography  Save this article

Eficiencia técnica relativa en la prestación del servicio de transporte público en Costa Rica. Rutas autobuseras interregionales

Author

Listed:
  • Navarro-Rodríguez, David
  • Hidalgo-Rojas, Jorge

Abstract

Este artículo presenta una aplicación de modelos de frontera para la evaluación de la eficiencia técnica relativa del sector regulado del transporte público en Costa Rica. Se elaboró un modelo de análisis envolvente de datos (DEA) para calcular la eficiencia técnica relativa en la prestación de servicio de una muestra de rutas interregionales a nivel nacional, a partir de una encuesta realizada sobre los operadores, por parte de la Autoridad Reguladora de Servicios Públicos (ARESEP) en el año 2009. Como variables de producto a evaluar se utilizaron los promedios mensuales de pasajeros por kilómetro recorrido y de pasajeros por bus. Como variables de insumo se consideraron los gastos devengados en diferentes aspectos clave para la prestación del servicio. A partir del modelo, se evaluó el desempeño de las 29 rutas y se determinaron los mecanismos de mejora para aquellas clasificadas como ineficientes.

Suggested Citation

  • Navarro-Rodríguez, David & Hidalgo-Rojas, Jorge, 2017. "Eficiencia técnica relativa en la prestación del servicio de transporte público en Costa Rica. Rutas autobuseras interregionales," Revista de Ciencias Económicas, Instituto de Investigaciones en Ciencias Económicas, Universidad de Costa Rica, vol. 35(2), December.
    • Handle: RePEc:rce:rvceco:31753
    as

    Download full text from publisher

    File URL: https://revistas.ucr.ac.cr/index.php/economicas/article/view/31753
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. C A K Lovell & A P B Rouse, 2003. "Equivalent standard DEA models to provide super-efficiency scores," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(1), pages 101-108, January.
    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. Zervopoulos, Panagiotis & Emrouznejad, Ali & Sklavos, Sokratis, 2019. "A Bayesian approach for correcting bias of data envelopment analysis estimators," MPRA Paper 91886, University Library of Munich, Germany.
    2. Cheng, Gang & Zervopoulos, Panagiotis, 2012. "A proxy approach to dealing with the infeasibility problem in super-efficiency data envelopment analysis," MPRA Paper 42064, University Library of Munich, Germany.
    3. Shih-Heng Yu & Chia-Wei Hsu, 2020. "A unified extension of super-efficiency in additive data envelopment analysis with integer-valued inputs and outputs: an application to a municipal bus system," Annals of Operations Research, Springer, vol. 287(1), pages 515-535, April.
    4. Cheng, Gang & Qian, Zhenhua & Zervopoulos, Panagiotis, 2011. "Overcoming the infeasibility of super-efficiency DEA model: a model with generalized orientation," MPRA Paper 31991, University Library of Munich, Germany.
    5. Guo, I-Lung & Lee, Hsuan-Shih & Lee, Dan, 2017. "An integrated model for slack-based measure of super-efficiency in additive DEA," Omega, Elsevier, vol. 67(C), pages 160-167.
    6. Baldin, Andrea, 2017. "A DEA approach for selecting a bundle of tickets for performing arts events," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 190-200.
    7. W D Cook & L Liang & Y Zha & J Zhu, 2009. "A modified super-efficiency DEA model for infeasibility," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(2), pages 276-281, February.
    8. Arnaud Abad & Papangkorn Kongmanwatana, 2015. "Comparison of Destination Competitiveness Ranking in the European Union Using a Non-Parametric Approach," Tourism Economics, , vol. 21(2), pages 267-281, April.
    9. Alexander Cotte, Poveda, 2011. "Economic development and growth in Colombia: An empirical analysis with super-efficiency DEA and panel data models," Socio-Economic Planning Sciences, Elsevier, vol. 45(4), pages 154-164, December.
    10. Constantino J. Garcia Martin & Amparo Medal-Bartual & Marta Peris-Ortiz, 2014. "Analysis of efficiency and profitability of franchise services," The Service Industries Journal, Taylor & Francis Journals, vol. 34(9-10), pages 796-810, July.
    11. Ya Chen & Yongjun Li & Liang Liang & Huaqing Wu, 2019. "An extension on super slacks-based measure DEA approach," Annals of Operations Research, Springer, vol. 278(1), pages 101-121, July.
    12. Usman Akbar & József Popp & Hameed Khan & Muhammad Asif Khan & Judit Oláh, 2020. "Energy Efficiency in Transportation along with the Belt and Road Countries," Energies, MDPI, vol. 13(10), pages 1-20, May.
    13. Nahra, Tammie A. & Mendez, David & Alexander, Jeffrey A., 2009. "Employing super-efficiency analysis as an alternative to DEA: An application in outpatient substance abuse treatment," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1097-1106, August.
    14. Rezaeiani, M.J. & Foroughi, A.A., 2018. "Ranking efficient decision making units in data envelopment analysis based on reference frontier share," European Journal of Operational Research, Elsevier, vol. 264(2), pages 665-674.
    15. Ramon Sala-Garrido & Manuel Mocholí-Arce & María Molinos-Senante, 2021. "Assessing the Quality of Service of Water Companies: a ‘Benefit of the Doubt’ Composite Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 371-387, May.
    16. Daniel Friesner & Ron Mittelhammer & Robert Rosenman, 2006. "Inferring the Latent Incidence of Inefficiency from DEA Estimates and Bayesian Priors," Working Papers 2006-8, School of Economic Sciences, Washington State University.
    17. Po-Chin Wu & Tzu-Hsien Huang & Sheng-Chieh Pan, 2014. "Country Performance Evaluation: The DEA Model Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 118(2), pages 835-849, September.
    18. Hisham Alidrisi & Mehmet Emin Aydin & Abdullah Omer Bafail & Reda Abdulal & Shoukath Ali Karuvatt, 2019. "Monitoring the Performance of Petrochemical Organizations in Saudi Arabia Using Data Envelopment Analysis," Mathematics, MDPI, vol. 7(6), pages 1-16, June.
    19. Fang, Hsin-Hsiung & Lee, Hsuan-Shih & Hwang, Shiuh-Nan & Chung, Cheng-Chi, 2013. "A slacks-based measure of super-efficiency in data envelopment analysis: An alternative approach," Omega, Elsevier, vol. 41(4), pages 731-734.
    20. Lissitsa, Alexej & Coelli, Tim J. & Rao, D.S. Prasada, 2005. "Agricultural Economics Education in Ukrainian Agricultural Universities: An Efficiency Analysis Using Data Envelopment Analysis," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24482, European Association of Agricultural Economists.

    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:rce:rvceco:31753. 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: Luis J. Hall (email available below). General contact details of provider: https://edirc.repec.org/data/iiucrcr.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.