Energy consumption and growth: New evidence from a non-linear panel and a sample of developing countries

Tolga Omay, Nicholas Apergis, Hulya Özcelebi

    Research output: Contribution to journalArticlepeer-review

    9 Citations (Scopus)

    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.
    Original languageEnglish
    Pages (from-to)1550018
    JournalThe Singapore Economic Review
    Volume60
    Issue number02
    DOIs
    Publication statusPublished - Jun 2015

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