THE DEMAND FOR ELECTRICITY CONSUMPTION IN TURKEY

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. 

THE DEMAND FOR ELECTRICITY CONSUMPTION IN TURKEY

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. 

___

  • 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
  • KRISHNAMURTHY, C. K., AND KRISTRÖM, B. (2013). Energy demand and income elasticity: a cross-country analysis. CERE Working paper 2013:5 Umea University Sweden
  • KWAKWA, P. A. (2017). Electricity consumption in Egypt: a long-run analysis of its determinants. OPEC Energy Review, 41(1), 3-22.
  • MOHAMED, Z., AND BODGER, P. (2005). Forecasting electricity consumption in New Zealand using economic and demographic variables. Energy, 30(10), 1833-1843.
  • NASR, G. E., BADR, E. A., AND DIBEH, G. (2000). Econometric modelling of electricity consumption in post-war Lebanon. Energy Economics, 22(6), 627-640.
  • ÖZDEMIR, N. (2012). Türkiye’de Elektriğin Tarihsel Gelişimi (1900 – 1938). Ankara: Elektrik Mühendisleri OdasıPhillips, P.C.B. and Hansen, B.E., (1990) Statistical inference in instrumental variables regression with I(1) processes. Review of Economic Studies 57, 99–125
  • PHILLIPS, P. C., & PERRON, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.
  • TAYLOR, L. D. (1975). The demand for electricity: a survey. The Bell Journal of Economics, 74-110.
  • TURKSTAT. (2017) Main Statistics, http://www.turkstat.gov.tr/
  • WORLD BANK. (2017) World Development Indicators 2017. Washington, DC. © World Bank. https://openknowledge.worldbank.org/handle/10986/26447 License: CC BY 3.0 IGO.”
  • WORLD BANK. (2017) World Development Indicators 2017. Washington, DC. © World Bank. https://openknowledge.worldbank.org/handle/10986/26447 License: CC BY 3.0 IGO.”
  • XIA, X. H., AND HU, Y. (2012). Determinants of electricity consumption intensity in China: analysis of cities at sub province and prefecture levels in 2009. The Scientific World Journal.
  • YAVUZ, H., GÜRKAN, F. AND ŞIMŞEK, S. (2017) Enerji Sektörünün Osmanlı ve Türkiye Cumhuriyeti Tarihindeki Gelişimi ve Yasal Süreç, www.enver.org.tr/UserFiles/Article/5e907eb0-43e2-44cf-ba0b-811db7b7b2d2.pdf (access date: 19.12.20 17)
Journal of Life Economics-Cover
  • Yayın Aralığı: Yılda 4 Sayı
  • Başlangıç: 2014
  • Yayıncı: Rating Academy