Assessing the Renewable Energy Efficiency Levels of BRICS Countries and Turkey Using Stochastic Frontier Analysis and Information Complexity Criteria
Öz
Anahtar Kelimeler
Kaynakça
- [[1] Çapik, M., Present situation and potential role of renewable energy in Turkey; Renewable Energy, 46, 01-13, 2012.
- [2] Song, M.L., Zhang, L.L., Liu, W., Fisher, R., Bootstrap-DEA analysis of BRICS’ energy efficiency based on small sample data, Applied Energy, 112, 1049-1055, 2013.
- [3] Menegaki, A.N., Growth and renewable energy in Europe: benchmarking with data envelopment analysis, Renewable Energy, 60, 363-369, 2013.
- [4] Kupeli, M., İhsan, A., G20 Ülkelerinin yenilenebilir enerji etkinliğinin dengeli performans ağirliklari ve veri zarflama analizi ile değerlendirilmesi, Uluslararası İktisadi ve İdari İncelemeler Dergisi, 207-218, 2018.
- [5] Wang, H., A generalized MCDA–DEA (multi-criterion decision analysis–data envelopment analysis) approach to construct slacks-based composite indicator, Energy, 80, 114-122, 2015.
- [6] Sozen, A., Mirzapour, A., Cakır, M.T., İskender, Ü., Çipil, F., Selecting best location of wind plants using DEA and TOPSIS approach in Turkish cities, Gazi J. Eng. Sci, 1, 174-193, 2016.
- [7] Lin, B., Long, H., A stochastic frontier analysis of energy efficiency of China's chemical industry, Journal of Cleaner Production, 87, 235-244, 2015.
- [8] Honma, S., Hu, J.L., A panel data parametric frontier technique for measuring total-factor energy efficiency: an application to Japanese regions, Energy, 78, 732-739, 2014.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Matematik, Uygulamalı Matematik
Bölüm
Araştırma Makalesi
Yazarlar
Haydar Koç
*
0000-0002-8568-4717
Türkiye
Yayımlanma Tarihi
30 Haziran 2021
Gönderilme Tarihi
19 Haziran 2020
Kabul Tarihi
14 Mayıs 2021
Yayımlandığı Sayı
Yıl 2021 Cilt: 11 Sayı: 1