Evaluation of Effectiveness of Electricity Consumption of Provinces in Turkey with Data Envelopment Analysis

Creative Commons License

Kocak I., BORAN K.

JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI, vol.22, no.2, pp.351-365, 2019 (ESCI) identifier

  • Publication Type: Article / Article
  • Volume: 22 Issue: 2
  • Publication Date: 2019
  • Doi Number: 10.2339/politeknik.444371
  • Journal Indexes: Emerging Sources Citation Index (ESCI), TR DİZİN (ULAKBİM)
  • Page Numbers: pp.351-365
  • Keywords: Data envelopment analysis, electricity consumption, effectiveness
  • Gazi University Affiliated: Yes


Energy is an important indicator of the strengths and developments of the countries of today's world. One of the most important components that come to mind when energy is mentioned is electricity. Countries are doing a lot of work to reduce electricity consumption without lowering people's quality of life in order to ensure productive and effectiveness use of electricity. The aim of this study is to determine the electricity consumption of provinces in Turkey effectiveness value for the effective use of electricity and the potential improvements that must be made in order for the non-effective provinces to be effective. In this study, data envelopment analysis was used to compare the consumption of electricity in the year 2016 with the consumer type of 81 provinces in Turkey. In the comparison made, CCR (Charnes, Cooper and Rhodes model - developed by Charnes, Cooper and Rhodes) and BCC (Banker, Charnes and Cooper model - developed by Banker, Charnes and Cooper) models for input were applied. Effectiveness values of 81 provinces were measured by using EMS package program in the solution of the models. Thus, effective and non-effective provinces have been identified. For non-effective provinces to be effective, potential improvements have been determined and general evaluation has been made. This study will provide the following benefits for the decisions and actions to be taken for the effective use of electricity: which province and consumer type will be given priority.