A novel network data envelopment analysis model for performance measurement of Turkish electric distribution companies

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Abstract

Electric distribution companies have a significant role for both households and industries. Benchmarking of the electric distribution companies in the energy sector has become a subject that is studied widely nowadays due to the effect of privatization policies for developing countries. Since there are multiple production stages regarding the generation and supply procedures of electric power, Network DEA technique is used. Directional Distance Function is also integrated into Network DEA technique. Electric distribution companies are organizations that are aiming at maximizing profit while minimizing the expenses. The main problem is how the profit idea can be integrated into the evaluation process. The aim of the proposed model is to evaluate profit efficiency of electric distribution companies while taking into account expansion cost for additional energy supply. This two stage approach is applied to Turkish electric distribution companies. Results are presented based on radial and profit efficiency measures. The proposed model is demonstrates realistic results by considering the expenses and incomes of distribution companies.

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  • A novel network data envelopment

    Rights statement: © 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

    Accepted author manuscript, 1 MB, PDF-document

    Embargo ends: 5/02/20

    Licence: CC BY-NC-ND Show licence

Details

Original languageEnglish
Pages (from-to)985-998
Number of pages14
JournalEnergy
Volume174
Early online date5 Feb 2019
DOIs
Publication statusE-pub ahead of print - 5 Feb 2019

Bibliographic note

© 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

    Keywords

  • Directional distance function, Electric distribution, Network DEA, Profit efficiency

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