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Energy Consumption And Growth: New Evidence From A Non-Linear Panel And A Sample Of Developing Countries

Author

Listed:
  • TOLGA OMAY

    (Department of Banking and Finance, Çankaya University, Eskisehir Yolu 29. Km, 06790, Ankara, Turkey)

  • NICHOLAS APERGIS

    (Business School, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK)

  • HÜLYA ÖZÇELEBI

    (Çankaya University, Eskisehir Yolu 29. Km, 06790, Ankara, Turkey)

Abstract

This paper investigates the relationship between economic growth and energy consumption through non-linear causality tests. Eight developing countries from Europe and Central Asia spanning the period 1993 to 2008 are selected for the purpose of panel empirical analysis. Panel unit root and panel cointegration tests with and without considering cross section dependency (CD) problems are implemented. Next, linear panel cointegration tests are employed and, finally, a two-regime Dynamic Panel Smooth Transition Vector Error Correction (PSTRVEC) model is estimated for testing the presence of non-linear short- and long-run causality. To this end, a new estimator, called the Dynamic Non-linear Pooled Common Correlated Effect Estimator (DNPCCEE) is proposed. The empirical findings indicate that short and long-run causalities are regime-dependent.

Suggested Citation

  • Tolga Omay & Nicholas Apergis & Hülya Özçelebi, 2015. "Energy Consumption And Growth: New Evidence From A Non-Linear Panel And A Sample Of Developing Countries," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(02), pages 1-30.
    • Handle: RePEc:wsi:serxxx:v:60:y:2015:i:02:n:s0217590815500186
    DOI: 10.1142/S0217590815500186
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    References listed on IDEAS

    as
    1. González, Andrés & Teräsvirta, Timo & van Dijk, Dick & Yang, Yukai, 2005. "Panel Smooth Transition Regression Models," SSE/EFI Working Paper Series in Economics and Finance 604, Stockholm School of Economics, revised 11 Oct 2017.
    2. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    3. Omay, Tolga & Hasanov, Mübariz & Uçar, Nuri, 2014. "Energy consumption and economic growth: Evidence from nonlinear panel cointegration and causality tests," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 34(2), pages 36-55.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Kassouri, Yacouba, 2022. "Boom-bust cycles in oil consumption: The role of explosive bubbles and asymmetric adjustments," Energy Economics, Elsevier, vol. 111(C).
    2. Tolga Omay & Reneé Eyden & Rangan Gupta, 2018. "Inflation–growth nexus: evidence from a pooled CCE multiple-regime panel smooth transition model," Empirical Economics, Springer, vol. 54(3), pages 913-944, May.
    3. Resat Ceylan & Mehmet Ivrendi & Muhammed Shahbaz & Tolga Omay, 2022. "Oil and stock prices: New evidence from a time varying homogenous panel smooth transition VECM for seven developing countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1085-1100, January.
    4. Reneé van Eyden & Tolga Omay & Rangan Gupta, 2015. "Inflation-Growth Nexus in Africa: Evidence from a Pooled CCE Multiple Regime Panel Smooth Transition Model," Working Papers 201504, University of Pretoria, Department of Economics.
    5. Tehmina Zahid & Noman Arshed & Mubbasher Munir & Kamran Hameed, 2021. "Role of energy consumption preferences on human development: a study of SAARC region," Economic Change and Restructuring, Springer, vol. 54(1), pages 121-144, February.

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    More about this item

    Keywords

    Energy consumption; growth; non-linear panel cointegration and panel vector error correction; cross section dependency; developing countries; C12; C22;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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