Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395

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Author: search.filters.author.Seker, FahriSubject: search.filters.subject.Carbon Emissions

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  • Article
    Citation - WoS: 883
    Citation - Scopus: 968
    Determinants of CO2 Emissions in the European Union: The Role of Renewable and Non-Renewable Energy
    (Pergamon-Elsevier Science Ltd, 2016-08) Dogan, Eyup; Seker, Fahri
    A number of studies in the environment-energy-growth literature aim to pin down the determinants of carbon dioxide (CO2) emissions as a result of large increases in CO2 emissions over the last few decades. One criticism related to the existing literature is the selection of data. The majority of studies use aggregate energy consumption. The other criticism is the selection of panel estimation techniques. Almost all studies use panel methods that ignore cross-sectional dependence. To fulfill the mentioned gaps in the literature, this empirical study aims to investigate the impacts of renewable and non-renewable energy, real income and trade openness on CO2 emissions in the Environmental Kuznets Curve (EKC) model for the European Union over the period 1980-2012 by employing panel estimation techniques robust to cross-sectional dependence. By using the dynamic ordinary least squares estimator, we show that renewable energy and trade mitigate carbon emissions while non-renewable energy increases CO2 emissions, and the EKC hypothesis is supported. The Dumitrescu-Hurlin non-causality approach indicates that there is bidirectional causality between renewable energy and carbon emissions, and unidirectional causality running from real income to carbon emissions, from CO2 emissions to non-renewable energy, and from trade openness to CO2 emissions. (C) 2016 Elsevier Ltd. All rights reserved.
  • Article
    Citation - WoS: 50
    Citation - Scopus: 153
    An Investigation on the Determinants of Carbon Emissions for OECD Countries: Empirical Evidence From Panel Models Robust to Heterogeneity and Cross-Sectional Dependence
    (Springer Heidelberg, 2016-04-12) Dogan, Eyup; Seker, Fahri
    This empirical study analyzes the impacts of real income, energy consumption, financial development and trade openness on CO2 emissions for the OECD countries in the Environmental Kuznets Curve (EKC) model by using panel econometric approaches that consider issues of heterogeneity and cross-sectional dependence. Results from the Pesaran CD test, the Pesaran-Yamagata's homogeneity test, the CADF and the CIPS unit root tests, the LM bootstrap cointegration test, the DSUR estimator, and the Emirmahmutoglu-Kose Granger causality test indicate that (i) the panel time-series data are heterogeneous and cross-sectionally dependent; (ii) CO2 emissions, real income, the quadratic income, energy consumption, financial development and openness are integrated of order one; (iii) the analyzed data are cointegrated; (iv) the EKC hypothesis is validated for the OECD countries; (v) increases in openness and financial development mitigate the level of emissions whereas energy consumption contributes to carbon emissions; (vi) a variety of Granger causal relationship is detected among the analyzed variables; and (vii) empirical results and policy recommendations are accurate and efficient since panel econometric models used in this study account for heterogeneity and cross-sectional dependence in their estimation procedures.