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Analysing the Industrial Electricity Demand for Turkey

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  • Ismail Kavaz

    (Bingol University)

Abstract

This study analyses the effects of some selected parameters on Turkey’s industrial electricity demand by using annual data between 1978 and 2018. In this regard, the Autoregressive Distributed Lag (ARDL) Bounds Testing method is utilized for establishing the models. The variables that used in the models of this study are electricity consumption, industrial value added, price of electricity, urbanization rate and average air temperature. According to the empirical findings, the price elasticities are estimated negative as expected which are -0.14 and -0.18 for the short and long term, respectively. On the other hand, the income elasticities have positive signs and computed as statistically significant. The short and long run income elasticities of industrial electricity demand are found as 0,15 and 0,35, respectively. Additionally, the urbanization rate and air temperature positively affect the industrial electricity demand of Turkey. These results indicate that the estimated price and income elasticities for the Turkish industrial electricity demand are very low and smaller than 1 in absolute terms. Therefore, it can be said that an increase and/or decrease in price and income as percentage is more than increase in electricity consumption for the industrial sector. In addition, these results imply that since the electricity usage in Turkey’s industrial sector is a necessity, consumers are not changing their consumption behaviour easily with respect to the price and income movements

Suggested Citation

  • Ismail Kavaz, 2020. "Analysing the Industrial Electricity Demand for Turkey," Bingol University Journal of Economics and Administrative Sciences, Bingol University, Faculty of Economics and Administrative Sciences, vol. 4(2), pages 187-218, December.
  • Handle: RePEc:bgo:journl:v:4:y:2020:i:2:p:187-218repec/bgo/
    DOI: https://dx.doi.org/10.33399/biibfad.761687
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    References listed on IDEAS

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    1. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. Dilaver, Zafer & Hunt, Lester C, 2011. "Modelling and forecasting Turkish residential electricity demand," Energy Policy, Elsevier, vol. 39(6), pages 3117-3127, June.
    3. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    4. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    5. Beenstock, Michael & Goldin, Ephraim & Nabot, Dan, 1999. "The demand for electricity in Israel," Energy Economics, Elsevier, vol. 21(2), pages 168-183, April.
    6. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    7. Akay, Diyar & Atak, Mehmet, 2007. "Grey prediction with rolling mechanism for electricity demand forecasting of Turkey," Energy, Elsevier, vol. 32(9), pages 1670-1675.
    8. Campbell, Alrick, 2018. "Price and income elasticities of electricity demand: Evidence from Jamaica," Energy Economics, Elsevier, vol. 69(C), pages 19-32.
    9. Cialani, Catia & Mortazavi, Reza, 2018. "Household and industrial electricity demand in Europe," Energy Policy, Elsevier, vol. 122(C), pages 592-600.
    10. Dilaver, Zafer & Hunt, Lester C., 2011. "Industrial electricity demand for Turkey: A structural time series analysis," Energy Economics, Elsevier, vol. 33(3), pages 426-436, May.
    11. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    12. Arisoy, Ibrahim & Ozturk, Ilhan, 2014. "Estimating industrial and residential electricity demand in Turkey: A time varying parameter approach," Energy, Elsevier, vol. 66(C), pages 959-964.
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    More about this item

    Keywords

    Elasticity estimates; industrial electricity demand; ARDL bounds testing; Turkey;
    All these keywords.

    JEL classification:

    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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