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Causality Relationship between Real GDP and Electricity Consumption in Romania (2001-2010)

Author

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  • Kayhan, Selim

    (Bozok University, Faculty of Economics and Administrative Sciences)

  • Adiguzel, Uğur

    (Bozok University, Faculty of Economics and Administrative Sciences)

  • Bayat, Tayfur

    (Adiyaman University, Besni Vocational School)

  • Lebe, Fuat

    (Bozok University, Faculty of Economics and Administrative Sciences)

Abstract

After Industrial Revolution, importance of energy in production has increased. As a result of two petroleum crisis, energy was included directly into the production function. While development level of countries has increased, energy consumption has also raised. Substantial increase in energy consumption with economic growth provide a motivation to investigate questions “Is there is a relationship between energy consumption and economic growth?” and if there is “What kind of relationship exists between them?”. The aim of this study is to analyse dynamic causal relationship between electricity consumption and economic growth in the Romanian economy for the period of 2001 – 2010 to answer this question. To this end, we utilize the Dolado – Lütkepohl, Tado - Yamamoto and traditional Granger causality tests. In this regard, we use Phillips – Perron and Dickey Fuller – GLS unit root tests and Bai – Perron multiple structural breaks test. Results support that causality runs from electricity consumption to economic growth in the case of Romania economy.

Suggested Citation

  • Kayhan, Selim & Adiguzel, Uğur & Bayat, Tayfur & Lebe, Fuat, 2010. "Causality Relationship between Real GDP and Electricity Consumption in Romania (2001-2010)," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 169-183, December.
  • Handle: RePEc:rjr:romjef:v::y:2010:i:4:p:169-183
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    References listed on IDEAS

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    2. Shahbaz, Muhammad & Mutascu, Mihai & Tiwari, Aviral Kumar, 2012. "Revisiting the Relationship between Electricity Consumption, Capital and Economic Growth: Cointegration and Causality Analysis in Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 97-120, September.
    3. Caraiani, Chirața & Lungu, Camelia I. & Dascălu, Cornelia, 2015. "Energy consumption and GDP causality: A three-step analysis for emerging European countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 198-210.
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    5. Besma Talbi, 2015. "Energy Intensity and Economic Growth in the MENA Region: Analyses of Panel Heterogeneous," Bulletin of Energy Economics (BEE), The Economics and Social Development Organization (TESDO), vol. 3(4), pages 169-175, December.
    6. Jacek Brożyna & Grzegorz Mentel & Eva Ivanová & Gennadii Sorokin, 2019. "Classification of Renewable Sources of Electricity in the Context of Sustainable Development of the New EU Member States," Energies, MDPI, vol. 12(12), pages 1-22, June.
    7. Vasile Gherheș & Marcela Alina Fărcașiu, 2021. "Sustainable Behavior among Romanian Students: A Perspective on Electricity Consumption in Households," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    8. Kshitij Sharma & Yogesh K. Dwivedi & Bhimaraya Metri, 2024. "Incorporating causality in energy consumption forecasting using deep neural networks," Annals of Operations Research, Springer, vol. 339(1), pages 537-572, August.
    9. Murat CETIN & Ibrahim DOGAN, 2015. "The Impact Of Education And Health On Economic Growth: Evidence From Romania (1980-2011)," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 133-147, June.
    10. Palakiyèm Kpemoua, 2016. "Analyse De L'Impact De L'Energie Electrique Sur La Croissance Economique Du Togo," Working Papers hal-01491861, HAL.

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    More about this item

    Keywords

    Electricity Consumption; Economic Growth; Causality Test; Romania;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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