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A Dynamic Approach to Demand for Energy in Turkey

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  • Bilgili, Faik

Abstract

This paper looks for the possible outcomes of the determinants of demand for electricity in Turkey. All variables are in per capita. Determinants are electricity production, price index of electricity and income, respectively. Electricity consumption is classified into residential and commercial electricity consumption and industrial electricity consumption. By employing Vector Error Correction Models (VECM) and impulse-responses for electricity consumptions, this paper results in a reduced form indicating that electricity consumption is affected by only electricity production in the long run for the annual period of 1954-2003.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 24038.

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Date of creation: 11 Jun 2006
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Handle: RePEc:pra:mprapa:24038

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Keywords: Electricity consumption; cointegration; VECM; generalized impulse-response;

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References

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  4. Pesaran, M. H. & Shin, Y., 1997. "Generalised Impulse Response Analysis in Linear Multivariate Models," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge 9710, Faculty of Economics, University of Cambridge.
  5. Clara Jørgensen & Hans Christian Kongsted & Anders Rahbek, 1996. "Trend-Stationarity in the I(2) Cointegration Model," Discussion Papers, University of Copenhagen. Department of Economics 96-12, University of Copenhagen. Department of Economics.
  6. Tunc, Murat & Camdali, Unal & Parmaksizoglu, Cem, 2006. "Comparison of Turkey's electrical energy consumption and production with some European countries and optimization of future electrical power supply investments in Turkey," Energy Policy, Elsevier, Elsevier, vol. 34(1), pages 50-59, January.
  7. Masih, Rumi & Masih, Abul M. M., 1996. "Stock-Watson dynamic OLS (DOLS) and error-correction modelling approaches to estimating long- and short-run elasticities in a demand function: new evidence and methodological implications from an appl," Energy Economics, Elsevier, Elsevier, vol. 18(4), pages 315-334, October.
  8. Ewing, Bradley T., 2003. "The response of the default risk premium to macroeconomic shocks," The Quarterly Review of Economics and Finance, Elsevier, Elsevier, vol. 43(2), pages 261-272.
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  10. Galindo, Luis Miguel, 2005. "Short- and long-run demand for energy in Mexico: a cointegration approach," Energy Policy, Elsevier, Elsevier, vol. 33(9), pages 1179-1185, June.
  11. Al-Faris, Abdul Razak F., 2002. "The demand for electricity in the GCC countries," Energy Policy, Elsevier, Elsevier, vol. 30(2), pages 117-124, January.
  12. Sayin, Cengiz & Nisa Mencet, M. & Ozkan, Burhan, 2005. "Assessing of energy policies based on Turkish agriculture:: current status and some implications," Energy Policy, Elsevier, Elsevier, vol. 33(18), pages 2361-2373, December.
  13. Ueno, Tsuyoshi & Sano, Fuminori & Saeki, Osamu & Tsuji, Kiichiro, 2006. "Effectiveness of an energy-consumption information system on energy savings in residential houses based on monitored data," Applied Energy, Elsevier, Elsevier, vol. 83(2), pages 166-183, February.
  14. Nasr, G. E. & Badr, E. A. & Dibeh, G., 2000. "Econometric modeling of electricity consumption in post-war Lebanon," Energy Economics, Elsevier, Elsevier, vol. 22(6), pages 627-640, December.
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Cited by:
  1. Noel Alter & Shabib Haider Syed, 2011. "An Empirical Analysis of Electricity Demand in Pakistan," International Journal of Energy Economics and Policy, Econjournals, Econjournals, vol. 1(4), pages 116-139.

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