IDEAS home Printed from https://ideas.repec.org/a/bgo/journl/v4y2020i2p187-218repec-bgo-.html
   My bibliography  Save this article

Analysing the Industrial Electricity Demand for Turkey

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://repec.bingol.edu.tr/bgo/Analysing%20the%20Industrial%20Electricity%20Demand%20for%20Turkey.pdf
    Download Restriction: no
    File URL: https://libkey.io/https://dx.doi.org/10.33399/biibfad.761687?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pellini, Elisabetta, 2021. "Estimating income and price elasticities of residential electricity demand with Autometrics," Energy Economics, Elsevier, vol. 101(C).
    2. David Greasley & Les Oxley, 2010. "Cliometrics And Time Series Econometrics: Some Theory And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 24(5), pages 970-1042, December.
    3. Kyriakos Emmanouilidis & Christos Karpetis, 2020. "The Defense–Growth Nexus: A Review of Time Series Methods and Empirical Results," Defence and Peace Economics, Taylor & Francis Journals, vol. 31(1), pages 86-104, January.
    4. Tiwari, Aviral Kumar & Menegaki, Angeliki N., 2019. "A time varying approach on the price elasticity of electricity in India during 1975–2013," Energy, Elsevier, vol. 183(C), pages 385-397.
    5. Ogali, Oscar I.O. & Okoro, Emeka E. & Olafuyi, Saburi G., 2023. "Assessing consensus on nexus between natural gas consumption and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    6. Fredj Jawadi & Catherine Bruneau & Nadia Sghaier, 2009. "Nonlinear Cointegration Relationships Between Non‐Life Insurance Premiums and Financial Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(3), pages 753-783, September.
    7. Jeng-Bau Lin & Chin-Chia Liang & Wei Tsai, 2019. "Nonlinear Relationships between Oil Prices and Implied Volatilities: Providing More Valuable Information," Sustainability, MDPI, vol. 11(14), pages 1-15, July.
    8. Tang, Chor Foon, 2011. "Tourism, real output and real effective exchange rate in Malaysia: a view from rolling sub-samples," MPRA Paper 29379, University Library of Munich, Germany.
    9. Shahzad, Syed Jawad Hussain & Kumar, Ronald Ravinesh & Zakaria, Muhammad & Hurr, Maryam, 2017. "Carbon emission, energy consumption, trade openness and financial development in Pakistan: A revisit," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 185-192.
    10. Halil Alt ntas & Melike Kum, 2013. "Multivariate Granger Causality between Electricity Generation, Exports, Prices and Economic Growth in Turkey," International Journal of Energy Economics and Policy, Econjournals, vol. 3(Special), pages 41-51.
    11. Johannes W. Fedderke, 2022. "Identifying supply and demand shocks in the South African Economy, 1960–2020," South African Journal of Economics, Economic Society of South Africa, vol. 90(3), pages 349-389, September.
    12. Hossain, Md. Emran & Islam, Md. Sayemul & Bandyopadhyay, Arunava & Awan, Ashar & Hossain, Mohammad Razib & Rej, Soumen, 2022. "Mexico at the crossroads of natural resource dependence and COP26 pledge: Does technological innovation help?," Resources Policy, Elsevier, vol. 77(C).
    13. Niels Haldrup & Robinson Kruse & Timo Teräsvirta & Rasmus T. Varneskov, 2013. "Unit roots, non-linearities and structural breaks," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 4, pages 61-94, Edward Elgar Publishing.
    14. Shahbaz, Muhammad & Ur Rehman, Ijaz & Zainudin, Rozaimah, 2013. "Macroeconomic Determinants of Stock Market Capitalization in Pakistan:Fresh Evidence from Cointegration with unknown Structural breaks," MPRA Paper 52490, University Library of Munich, Germany, revised 24 Dec 2013.
    15. Pata, Ugur Korkut & Caglar, Abdullah Emre, 2021. "Investigating the EKC hypothesis with renewable energy consumption, human capital, globalization and trade openness for China: Evidence from augmented ARDL approach with a structural break," Energy, Elsevier, vol. 216(C).
    16. Abbasi, Kashif Raza & Hussain, Khadim & Radulescu, Magdalena & Ozturk, Ilhan, 2022. "Asymmetric impact of renewable and non-renewable energy on the industrial sector in Pakistan: Fresh evidence from Bayesian and non-linear ARDL," Renewable Energy, Elsevier, vol. 187(C), pages 944-957.
    17. Hamdi, Helmi & Sbia, Rashid & Shahbaz, Muhammad, 2014. "The nexus between electricity consumption and economic growth in Bahrain," Economic Modelling, Elsevier, vol. 38(C), pages 227-237.
    18. Yaya Keho, 2011. "Long‐Run Determinants Of Savings Rates In Waemu Countries: An Empirical Assessment From Ardl Bounds Testing Approach," South African Journal of Economics, Economic Society of South Africa, vol. 79(3), pages 312-329, September.
    19. Shahbaz, Muhammad & Hye, Qazi Muhammad Adnan & Tiwari, Aviral Kumar & Leitão, Nuno Carlos, 2013. "Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 109-121.
    20. Kohler, Marcel, 2014. "Differential electricity pricing and energy efficiency in South Africa," Energy, Elsevier, vol. 64(C), pages 524-532.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bgo:journl:v:4:y:2020:i:2:p:187-218repec/bgo/. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Halim Tatli (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.