KaydedilenlerDerginizi ekleyin

Dergiler / Journal of Life Economics / 2018 / Cilt: 5 - Sayı: 4

THE DEMAND FOR ELECTRICITY CONSUMPTION IN TURKEY

Başak SEZGİN
Selim YILDIRIM
Sayfa
37–56
Yayın Tarihi
2018-10-26
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Inflation and working population ratio do not seem to have an impact on poverty.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:This study aimed to determine the effects of socio-economic variables on poverty.
📊
Temel Bulgular & Veri: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.
💡
Sonuç & Katkı:Inflation and working population ratio do not seem to have an impact on poverty.
🔬Tür:Laboratuvar & Saha Deneyi
📍Kapsam:2006-2015 Verileri
⚙️Değişkenler:Electricity Consumption · Fully Modified OLS (FMOLS) · Electricity Consumption

Özet

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.

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.

🔖

Bu Makaleye Atıf Yap

SEZGİN, B., YILDIRIM, S. (2018). THE DEMAND FOR ELECTRICITY CONSUMPTION IN TURKEY. Journal of Life Economics, Cilt: 5 - Sayı: 4, 37–56. https://ajindex.com/articles/2481

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (13)

  1. 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.
  2. BEDIR, M., HASSELAAR, E., AND ITARD, L. (2013). Determinants of electricity consumption in Dutch dwellings. Energy and Buildings, 58, 194-207.
  3. 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.
  4. 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
  5. HUANG, W. H. (2015). The Determinants of Household Electricity Consumption İn Taiwan: Evidence from Quantile Regression. Energy, 87, 120-133.
  6. 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.
  7. MOHAMED, Z., AND BODGER, P. (2005). Forecasting electricity consumption in New Zealand using economic and demographic variables. Energy, 30(10), 1833-1843.
  8. 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.
  9. ÖZDEMIR, N. (2012). Türkiye’de Elektriğin Tarihsel Gelişimi (1900 – 1938). Ankara:
  10. 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
  11. PHILLIPS, P. C., & PERRON, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.
  12. TAYLOR, L. D. (1975). The demand for electricity: a survey. The Bell Journal of Economics, 74-110.
  13. TURKSTAT. (2017) Main Statistics, http://w