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Evaluation of the dynamic efficiency of Croatian towns using Data Envelopment Analysis

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  • Dubravko Hunjet
  • Luka Neralić
  • Richard Wendell

Abstract

This paper studies the dynamic relative efficiency of 12 selected towns in the Republic of Croatia using Data Envelopment Analysis (DEA). The selected towns, represented as Decision Making Units (DMUs), are those among the 127 towns in Croatia having a population of at least 45,000. Using the number of employed workers and employed assets as inputs and income as an output, Window Analysis is considered for the period 2004–2009 for an input-oriented (output-oriented) DEA model with constant (variable) returns to scale. The paper presents and analyzes computational results on the dynamic relative efficiency of the towns. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Dubravko Hunjet & Luka Neralić & Richard Wendell, 2015. "Evaluation of the dynamic efficiency of Croatian towns using Data Envelopment Analysis," 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. 23(3), pages 675-686, September.
    • Handle: RePEc:spr:cejnor:v:23:y:2015:i:3:p:675-686
    DOI: 10.1007/s10100-014-0363-6
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    References listed on IDEAS

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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, September.
    2. 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.
    3. Piyu Yue, 1992. "Data envelopment analysis and commercial bank performance: a primer with applications to Missouri banks," Review, Federal Reserve Bank of St. Louis, issue Jan, pages 31-45.
    4. Charnes, Abraham & Cooper, William W. & Li, Shanling, 1989. "Using data envelopment analysis to evaluate efficiency in the economic performance of Chinese cities," Socio-Economic Planning Sciences, Elsevier, vol. 23(6), pages 325-344.
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    Cited by:

    1. Botond Bertók & Tibor Csendes & Tibor Illés, 2015. "Editorial," 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. 23(4), pages 811-813, December.
    2. Tibor Csendes & Lidija Zadnik Stirn & Janez Žerovnik, 2015. "Editorial," 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. 23(3), pages 523-525, September.
    3. Andrej Kastrin & Janez Povh & Lidija Zadnik Stirn & Janez Žerovnik, 2021. "Methodologies and applications for resilient global development from the aspect of SDI-SOR special issues of CJOR," 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. 29(3), pages 773-790, September.
    4. Luka Neralić & Richard E. Wendell, 2019. "Sensitivity in DEA: an algorithmic approach," 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. 27(4), pages 1245-1264, December.

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