IDEAS home Printed from https://ideas.repec.org/a/wut/journl/v3y2009p47-63.html
   My bibliography  Save this article

Important applications of the super-efficiency CCR model to economic analysis

Author

Listed:
  • Bogusław Guzik

Abstract

Celem autora artykułu jest zaprezentowanie głównych możliwości analitycznych modelu superefficiency (nadefektywności) CCR, zaproponowanego przez Andersena i Petersena [1], Bankera i Gilforda [2] oraz Charnsa i innych [4]. Oprócz klasycznych analiz, spotykanych w literaturze przedmiotu, sformułowano też propozycję prostego testu jednorodności obiektów oraz metodykę określania konkurentów obiektów i ustalania struktury konkurencji technologicznej. Podstawą rozważań jest ukierunkowany na nakłady standardowy model nadefektywności CCR, w skrócie SE-CCR. Należy dodać, że wyniki dotyczące modelu SE-CCR przenoszą się praktycznie bez większych zmian na inne modele nadefektywności.

Suggested Citation

  • Bogusław Guzik, 2009. "Important applications of the super-efficiency CCR model to economic analysis," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 19(3), pages 47-63.
  • Handle: RePEc:wut:journl:v:3:y:2009:p:47-63
    as

    Download full text from publisher

    File URL: https://ord.pwr.edu.pl/assets/papers_archive/137%20-%20published.pdf
    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. Thanassoulis, E. & Dyson, R. G., 1992. "Estimating preferred target input-output levels using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 56(1), pages 80-97, January.
    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.
    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. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    2. Suzuki, Soushi & Nijkamp, Peter, 2016. "An evaluation of energy-environment-economic efficiency for EU, APEC and ASEAN countries: Design of a Target-Oriented DFM model with fixed factors in Data Envelopment Analysis," Energy Policy, Elsevier, vol. 88(C), pages 100-112.
    3. Krüger, Jens J., 2018. "Direct targeting of efficient DMUs for benchmarking," International Journal of Production Economics, Elsevier, vol. 199(C), pages 1-6.
    4. Bogusław Guzik, 2007. "Including substitution of inputs in DEA models," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 17(3-4), pages 71-92.
    5. Soushi Suzuki & Peter Nijkamp & Piet Rietveld, 2012. "A preference allocation-DFM model in Data Envelopment Analysis -An application to Energy-Environment-Economic efficiency in Japan-," ERSA conference papers ersa12p332, European Regional Science Association.
    6. Bogusław Guzik, 2008. "Measuring efficiency using isoquants in input-productivity space. Multiple-input case," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 18(1), pages 15-33.
    7. Zhu, Joe, 2000. "Multi-factor performance measure model with an application to Fortune 500 companies," European Journal of Operational Research, Elsevier, vol. 123(1), pages 105-124, May.
    8. Bogusław Guzik, 2008. "CCR-DP model with dominated inflation function of inputs," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 18(4), pages 29-46.
    9. 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.
    10. Shuji Yao & Zhongwei Han & Dan Luo, 2010. "Performance of the Chinese Insurance Industry under Economic Reforms," Books, Edward Elgar Publishing, number 12788.
    11. Martic, Milan & Savic, Gordana, 2001. "An application of DEA for comparative analysis and ranking of regions in Serbia with regards to social-economic development," European Journal of Operational Research, Elsevier, vol. 132(2), pages 343-356, July.
    12. 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.
    13. Bogusław Guzik, 2009. "Basic analytical capabilities of the CCR-DEA model," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 19(1), pages 55-75.
    14. Soushi Suzuki & Peter Nijkamp, 2021. "High urban population density as a facilitator of energy–environment–economy performance–development of an autoconfiguration target model in data envelopment analysis," Asia-Pacific Journal of Regional Science, Springer, vol. 5(1), pages 261-287, February.
    15. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    16. 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.
    17. Helmi Hammami & Thanh Ngo & David Tripe & Dinh-Tri Vo, 2022. "Ranking with a Euclidean common set of weights in data envelopment analysis: with application to the Eurozone banking sector," Annals of Operations Research, Springer, vol. 311(2), pages 675-694, April.
    18. Bogetoft, Peter & Leth Hougaard, Jens, 2004. "Super efficiency evaluations based on potential slack," European Journal of Operational Research, Elsevier, vol. 152(1), pages 14-21, January.
    19. Matthias Klumpp & Dominic Loske, 2021. "Sustainability and Resilience Revisited: Impact of Information Technology Disruptions on Empirical Retail Logistics Efficiency," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    20. Seyed Rakhshan & Ali Kamyad & Sohrab Effati, 2015. "Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 505-525, March.

    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:wut:journl:v:3:y:2009:p:47-63. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/iopwrpl.html .

    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: Adam Kasperski (email available below). General contact details of provider: https://edirc.repec.org/data/iopwrpl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.