EN
TR
THE DEMAND FOR ELECTRICITY CONSUMPTION IN TURKEY
Abstract
This study aimed to determine the effects of socio-economic variables on poverty. For this purpose; education, working population ratio, the national income according to purchasing power parity, the inflation rate and the net wage effect on poverty for selected eight EU countries between 2006-2015 were analyzed using the fixed effect model, the random effects model, the pooled regression model and the generalized method of moments of the panel data methods. It is reached that while the national income has poverty reduction effect in all models according to purchasing power parity, education has poverty reduction effect in other models except the fixed effects model. Inflation and working population ratio do not seem to have an impact on poverty.
Keywords
Kaynakça
- ALAWIN, M., AL-HAMDI, M., AND ALOMERI, M. (2016). Determinants of electricity demand in Jordan. Indian Journal of Science and Technology, 9(15).
- AL-FARIS, ABDUL RAZAK F (2002). The demand for electricity in the GCC countries. Energy Policy, 30(2), 117-124.
- BEDIR, M., HASSELAAR, E., AND ITARD, L. (2013). Determinants of electricity consumption in Dutch dwellings. Energy and Buildings, 58, 194-207.
- DEMIREL. (2016). Energy: Production, Conversion, Storage, Conservation, and Coupling, Springer-Verlag London Limited ENGLE, R. F., & GRANGER, C. W. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica: journal of the Econometric Society, 251-276.Engle-Granger
- EKPO, U. N., CHUKU, C. A., AND EFFIONG, E. L. (2011). The dynamics of electricity demand and consumption in Nigeria: application of the bounds testing approach. Current Research Journal of Economic Theory, 3(2), 43-52.
- FAKIH, A. AND MARROUCH, W. (2015) The electricity consumption, employment and growth nexus: evidence from Lebanon. OPEC Energy Review, 39: 298–321. doi:10.1111/opec.12053
- HUANG, W. H. (2015). The Determinants of Household Electricity Consumption İn Taiwan: Evidence from Quantile Regression. Energy, 87, 120-133.
- KARAKIŞ, ESRA, (2017), “Aylık Enerji İstatistikleri Raporu”, Enerji ve Tabii Kaynaklar Bakanlığı, Enerji İstatistikleri Daire Başkanlığı
Ayrıntılar
Birincil Dil
İngilizce
Konular
-
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
26 Ekim 2018
Gönderilme Tarihi
26 Eylül 2018
Kabul Tarihi
22 Ekim 2018
Yayımlandığı Sayı
Yıl 2018 Cilt: 5 Sayı: 4