IDEAS home Printed from https://ideas.repec.org/a/taf/applec/44y2012i8p933-943.html
   My bibliography  Save this article

Empirical tools to assess the sensitivity of directional distance functions to direction selection

Author

Listed:
  • Antonio Peyrache
  • Cinzia Daraio

Abstract

Directional Distance Functions (DDFs) are becoming a popular way of measuring efficiency as they encompass the Shephard output and input distance functions as special cases. However, the most critical and still unsolved issue related to DDF remains the selection of the direction along which to measure the distance from the efficient frontier. In this article, we propose some empirical tools which allow to quantify the sensitivity of the efficiency measurement to the selection of the direction. The proposed tools are applied on a dataset on the Italian agricultural sector.

Suggested Citation

  • Antonio Peyrache & Cinzia Daraio, 2012. "Empirical tools to assess the sensitivity of directional distance functions to direction selection," Applied Economics, Taylor & Francis Journals, vol. 44(8), pages 933-943, March.
    • Handle: RePEc:taf:applec:44:y:2012:i:8:p:933-943
    DOI: 10.1080/00036846.2010.526582
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2010.526582
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036846.2010.526582?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. Paola Dongili & Angelo Zago, 2005. "Bad loans and efficiency in Italian Banks," Working Papers 28/2005, University of Verona, Department of Economics.
    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. Wang, Ke & Yang, Kexin & Wei, Yi-Ming & Zhang, Chi, 2018. "Shadow prices of direct and overall carbon emissions in China’s construction industry: A parametric directional distance function-based sensitive estimation," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 180-193.
    2. Minyan Zhu & Antonio Peyrache, 2017. "The quality and efficiency of public service delivery in the UK and China," Regional Studies, Taylor & Francis Journals, vol. 51(2), pages 285-296, February.
    3. Fangqing Wei & Junfei Chu & Jiayun Song & Feng Yang, 2019. "A cross-bargaining game approach for direction selection in the directional distance function," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(3), pages 787-807, September.
    4. Hampf, Benjamin & Krüger, Jens J., 2013. "Optimal Directions for Directional Distance Functions: An Exploration of Potential Reductions of Greenhouse Gases," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79699, Verein für Socialpolitik / German Economic Association.
    5. Färe, Rolf & Pasurka, Carl & Vardanyan, Michael, 2017. "On endogenizing direction vectors in parametric directional distance function-based models," European Journal of Operational Research, Elsevier, vol. 262(1), pages 361-369.
    6. Fusco, Elisa & Maggi, Bernardo & Rizzuto, Livia, 2022. "Alternative indicators for the evaluation of renewables in Europe: An efficiency approach," Renewable Energy, Elsevier, vol. 190(C), pages 48-65.
    7. Vardanyan, Michael & Valdmanis, Vivian G. & Leleu, Hervé & Ferrier, Gary D., 2022. "Estimating technology characteristics of the U.S. hospital industry using directional distance functions with optimal directions," Omega, Elsevier, vol. 113(C).
    8. Cinzia Daraio & Léopold Simar, 2016. "Efficiency and benchmarking with directional distances: a data-driven approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(7), pages 928-944, July.
    9. Tsionas, Mike G., 2024. "A generalized inefficiency model with input and output dependence," European Journal of Operational Research, Elsevier, vol. 312(1), pages 315-323.
    10. Jorge Bonilla & Jessica Coria & Thomas Sterner, 2018. "Technical Synergies and Trade-Offs Between Abatement of Global and Local Air Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(1), pages 191-221, May.
    11. Ke Wang & Yujiao Xian & Yi-Ming Wei & Zhimin Huang, 2016. "Sources of carbon productivity change: A decomposition and disaggregation analysis based on global Luenberger productivity indicator and endogenous directional distance function," CEEP-BIT Working Papers 91, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    12. Pedro Macedo & Elvira Silva, 2017. "Sensitivity of directional technical inefficiency measures to the choice of the direction vector: a simulation study," Economics Bulletin, AccessEcon, vol. 37(1), pages 52-62.
    13. Hampf, Benjamin & Krüger, Jens, 2013. "Optimal Directions for Directional Distance Functions: An Exploration of Potential Reductions of Greenhouse Gases," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 60952, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    14. Thyago Celso Cavalcante Nepomuceno & Katarina Tatiana Marques Santiago & Cinzia Daraio & Ana Paula Cabral Seixas Costa, 2022. "Exogenous crimes and the assessment of public safety efficiency and effectiveness," Annals of Operations Research, Springer, vol. 316(2), pages 1349-1382, September.

    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. Shen, Chung-Hua & Chen, Ting-Hsuan, 2010. "Estimating banking cost efficiency with the consideration of cost management," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(4), pages 424-435, November.
    2. Bonanno, Graziella, 2012. "L’efficienza del sistema bancario italiano dal 2006 al 2010. Un’applicazione delle frontiere stocastiche [The Efficiency of Italian Banking System over 2006-2010. An Application of the Stochastic F," MPRA Paper 42831, University Library of Munich, Germany.
    3. Cristian Barra & Giovanna Bimonte & Roberto Zotti, 2016. "On the relationship among efficiency, capitalization and risk: does management matter in local banking market?," Applied Economics, Taylor & Francis Journals, vol. 48(41), pages 3912-3934, September.
    4. Francesco Aiello & Camilla Mastromarco & Angelo Zago, 2011. "Be productive or face decline. On the sources and determinants of output growth in Italian manufacturing firms," Empirical Economics, Springer, vol. 41(3), pages 787-815, December.
    5. Francesco Aiello & Graziella Bonanno, 2013. "Profit and cost efficiency in the Italian banking industry (2006-2011)," Economics and Business Letters, Oviedo University Press, vol. 2(4), pages 190-205.

    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:taf:applec:44:y:2012:i:8:p:933-943. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.