Evaluation of sustainable energy performance for OECD countries

GÜLER E., YEREL KANDEMİR S., Acikkalp E., Ahmadi M. H.

Energy Sources, Part B: Economics, Planning and Policy, cilt.16, sa.6, ss.491-514, 2021 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 16 Sayı: 6
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1080/15567249.2021.1909673
  • Dergi Adı: Energy Sources, Part B: Economics, Planning and Policy
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, CAB Abstracts, Communication Abstracts, Compendex, Computer & Applied Sciences, Environment Index, Greenfile, INSPEC, Metadex, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.491-514
  • Anahtar Kelimeler: data envelopment analysis (dea), OECD countries, performance evaluation, promethee method, Sustainable energy
  • Bilecik Şeyh Edebali Üniversitesi Adresli: Evet

Özet

© 2021 Taylor & Francis Group, LLC.This study aims to evaluate the sustainable energy performance of 36 OECD (Organization for Economic Cooperation and Development) countries. The sustainable energy performance evaluation of the countries was made with linear programming-based “DEA (Data Envelopment Analysis)” and multi-criteria decision-making-based “PROMETHEE (The Preference Ranking Organization Method for Enrichment Evaluation)”. Spearman Correlation Coefficients were calculated for the relationships between the rankings obtained from all methods. According to the Spearman’s Rank Correlation Coefficients (R) calculated for the performance rankings of OECD countries, the relations between all rankings of OECD countries were positive moderate (R = +0.6952) and positive high (R = +0.7959; R = +0.8919). The novelty of this article is to verify that DEA models and PROMETHEE technique, which are different from each other in terms of structure, algorithms, and basic purposes, can be used as an alternative performance evaluation tool.