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Corporate real estate analysis: evaluating telecom branch efficiency in Greece

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  • Manolis Kritikos
  • Raphael Markellos
  • Gregory Prastacos

Abstract

This article proposes productivity analysis for evaluating the relative efficiency in corporate real estate usage across decision-making units. Using data from the Greek Telecommunications Organization (GTO), we measure the productivity of 127 branches using the number of employees and the total area covered per building as inputs and the number of telephony access lines as outputs. We apply three nonparametric Data Envelopment Analysis (DEA) models assuming: Constant Returns to Scale (CRS), Variable Returns to Scale (VRS) and Slacks-Based Measures (SBM), respectively. We discuss how the proposed approach can provide real estate managers and analysts a multi-informational tool that allows the quantification of targets and may serve as a guide tool for the efficient employment of real estate assets.

Suggested Citation

  • Manolis Kritikos & Raphael Markellos & Gregory Prastacos, 2010. "Corporate real estate analysis: evaluating telecom branch efficiency in Greece," Applied Economics, Taylor & Francis Journals, vol. 42(9), pages 1133-1143.
    • Handle: RePEc:taf:applec:v:42:y:2010:i:9:p:1133-1143
    DOI: 10.1080/00036840701721166
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    References listed on IDEAS

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    1. Cherchye, Laurens & Kuosmanen, Timo & Post, Thierry, 2001. "Alternative treatments of congestion in DEA: A rejoinder to Cooper, Gu, and Li," European Journal of Operational Research, Elsevier, vol. 132(1), pages 75-80, July.
    2. Ray,Subhash C., 2012. "Data Envelopment Analysis," Cambridge Books, Cambridge University Press, number 9781107405264, 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.
    4. Jati Sengupta, 2002. "Economics of efficiency measurement by the DEA approach," Applied Economics, Taylor & Francis Journals, vol. 34(9), pages 1133-1139.
    5. Brockett, Patrick L. & Cooper, William W. & Wang, Yuying & Shin, Hong-Chul, 1998. "Inefficiency and congestion in Chinese production before and after the 1978 economic reforms," Socio-Economic Planning Sciences, Elsevier, vol. 32(1), pages 1-20, March.
    6. Puig-Junoy, Jaume, 2000. "Partitioning input cost efficiency into its allocative and technical components: an empirical DEA application to hospitals," Socio-Economic Planning Sciences, Elsevier, vol. 34(3), pages 199-218, September.
    7. Cooper, W. W. & Gu, Bisheng & Li, Shanling, 2001. "Comparisons and evaluations of alternative approaches to the treatment of congestion in DEA," European Journal of Operational Research, Elsevier, vol. 132(1), pages 62-74, July.
    8. Cooper, W. W. & Gu, Bisheng & Li, Shanling, 2001. "Note: Alternative treatments of congestion in DEA - a response to the Cherchye, Kuosmanen and Post critique," European Journal of Operational Research, Elsevier, vol. 132(1), pages 81-87, July.
    9. Aziz Boussofiane & Stephen Martin & David Parker, 1997. "The impact on technical efficiency of the UK privatization programme," Applied Economics, Taylor & Francis Journals, vol. 29(3), pages 297-310.
    10. Cooper, W. W. & Seiford, L. M. & Zhu, J., 2001. "Slacks and congestion: response to a comment by R. Fare and S. Grosskopf," Socio-Economic Planning Sciences, Elsevier, vol. 35(3), pages 205-215, September.
    11. Fare, Rolf & Grosskopf, Shawna, 2000. "Slacks and congestion: a comment," Socio-Economic Planning Sciences, Elsevier, vol. 34(1), pages 27-33, March.
    12. 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.
    13. P. Byrnes & R. Färe & S. Grosskopf, 1984. "Measuring Productive Efficiency: An Application to Illinois Strip Mines," Management Science, INFORMS, vol. 30(6), pages 671-681, June.
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    Cited by:

    1. António S. Ribeiro & Francisco Lima, 2012. "Portuguese football league efficiency and players' wages," Applied Economics Letters, Taylor & Francis Journals, vol. 19(6), pages 599-602, April.
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    3. Congcong Yang & Alfred Taudes & Guozhi Dong, 2017. "Efficiency analysis of European Freight Villages: three peers for benchmarking," 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. 25(1), pages 91-122, March.

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