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Efficiency analysis of university departments: An empirical study

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  • Kao, Chiang
  • Hung, Hsi-Tai
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    Abstract

    Universities play an important role in the development of a country in this age of the knowledge economy. As government subsidies to universities have been reducing in recent years, the more efficient use of resources becomes an important issue for university administrators. This paper applies data envelopment analysis (DEA) to assess the relative efficiency of the academic departments at National Cheng Kung University in Taiwan. The outputs considered are total credit-hours, publications, and external grants; and the inputs utilized by the departments are personnel, operating expenses, and floor space. An assurance region is constructed by the top administrators of the university to confine the flexibility in selecting the virtual multipliers in DEA. Four groups of departments of similar characteristics are categorized via an efficiency decomposition and cluster analysis. The aggregate efficiency indicates whether the resources have been utilized efficiently by a department and the efficiency decomposition helps identify the weak areas where more effort should be devoted so that the efficiency of the department can be improved.

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    Bibliographic Info

    Article provided by Elsevier in its journal Omega.

    Volume (Year): 36 (2008)
    Issue (Month): 4 (August)
    Pages: 653-664

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    Handle: RePEc:eee:jomega:v:36:y:2008:i:4:p:653-664

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    Related research

    Keywords: Cluster analysis Data envelopment analysis Efficiency Efficiency decomposition;

    References

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    Citations

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    Cited by:
    1. Berna Haktanirlar Ulutas, 2011. "Assessing the Relative Performance of University Departments: Teaching vs. Research," Istanbul University Econometrics and Statistics e-Journal, Department of Econometrics, Faculty of Economics, Istanbul University, vol. 13(1), pages 125-138, Special I.
    2. Ramanathan, Ramakrishnan & Yunfeng, Jiang, 2009. "Incorporating cost and environmental factors in quality function deployment using data envelopment analysis," Omega, Elsevier, vol. 37(3), pages 711-723, June.
    3. Tiziana D’Alfonso & Cinzia Daraio & Alberto Nastasi, 2013. "Assesing the Impact of Competition on the Efficiency of Italian Airports," DIAG Technical Reports 2013-01, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    4. Berbegal-Mirabent, Jasmina & Lafuente, Esteban & Solé, Francesc, 2013. "The pursuit of knowledge transfer activities: An efficiency analysis of Spanish universities," Journal of Business Research, Elsevier, vol. 66(10), pages 2051-2059.
    5. Meng, Wei & Zhang, Daqun & Qi, Li & Liu, Wenbin, 2008. "Two-level DEA approaches in research evaluation," Omega, Elsevier, vol. 36(6), pages 950-957, December.
    6. Lucia Buzzigoli & Antonio Giusti & Alessandro Viviani, 2010. "The Evaluation of University Departments. A Case Study for Firenze," International Advances in Economic Research, Springer, vol. 16(1), pages 24-38, February.
    7. Dimitrov, Stanko & Sutton, Warren, 2013. "Generalized symmetric weight assignment technique: Incorporating managerial preferences in data envelopment analysis using a penalty function," Omega, Elsevier, vol. 41(1), pages 48-54.
    8. Tarmo Räty & Micke Bondas, 2008. "A Publication Activity Model for Finnish Universities," Discussion Papers 448, Government Institute for Economic Research Finland (VATT).
    9. Barra, Cristian & Zotti, Roberto, 2014. "Handling negative data using Data Envelopment Analysis: a directional distance approach applied to higher education," MPRA Paper 55570, University Library of Munich, Germany.
    10. Lu, Wen-Min, 2012. "Intellectual capital and university performance in Taiwan," Economic Modelling, Elsevier, vol. 29(4), pages 1081-1089.
    11. Ángel Torrico González & Rafael Caballero Fernández & Teodoro Galache Laza & Trinidad Gómez Núñez & Fátima Pérez García & Carlos Rivas Sánchez & José Sánchez Maldonado & Pedro Avellaneda B, 2011. "Aproximación a la eficiencia de las unidades funcionales de la rama de Ciencias Sociales y Jurídicas del sistema universitario andaluz," Investigaciones de Economía de la Educación volume 6, in: Antonio Caparrós Ruiz (ed.), Investigaciones de Economía de la Educación 6, edition 1, volume 6, chapter 1, pages 29-39 Asociación de Economía de la Educación.
    12. Shimshak, Daniel G. & Lenard, Melanie L. & Klimberg, Ronald K., 2009. "Incorporating quality into data envelopment analysis of nursing home performance: A case study," Omega, Elsevier, vol. 37(3), pages 672-685, June.
    13. Zhang, Daqun & Banker, Rajiv D. & Li, Xiaoxuan & Liu, Wenbin, 2011. "Performance impact of research policy at the Chinese Academy of Sciences," Research Policy, Elsevier, vol. 40(6), pages 875-885, July.
    14. Mei Ho & John Liu & Wen-Min Lu & Chien-Cheng Huang, 2014. "A new perspective to explore the technology transfer efficiencies in US universities," The Journal of Technology Transfer, Springer, vol. 39(2), pages 247-275, April.
    15. Tzeremes, Nickolaos & Halkos, George, 2010. "A DEA approach for measuring university departments’ efficiency," MPRA Paper 24029, University Library of Munich, Germany.
    16. Hatefi, S.M. & Torabi, S.A., 2010. "A common weight MCDA-DEA approach to construct composite indicators," Ecological Economics, Elsevier, vol. 70(1), pages 114-120, November.
    17. BERBEGAL MIRABENT, Jasmina & SOLÉ PARELLADA, Francesc, 2012. "What Are We Measuring When Evaluating Universities’ Efficiency?," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 12(3).
    18. Botti, Laurent & Briec, Walter & Cliquet, Gérard, 2009. "Plural forms versus franchise and company-owned systems: A DEA approach of hotel chain performance," Omega, Elsevier, vol. 37(3), pages 566-578, June.

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