Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395
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Article Citation - WoS: 819Citation - Scopus: 943The Influence of Real Output, Renewable and Non-Renewable Energy, Trade and Financial Development on Carbon Emissions in the Top Renewable Energy Countries(Pergamon-Elsevier Science Ltd, 2016-07) Dogan, Eyup; Seker, FahriDue to tremendous increase in the level of carbon dioxide (CO2) emissions in the last several decades, a number of studies in the energy-growth-environment literature have attempted to identify the determinants of CO2 emissions. A major criticism related to the existing studies, we realize, is the selection of panel estimation techniques. Almost all studies use panel methods that ignore the issue of cross-sectional dependence even though countries in the panel are most likely heterogeneous and cross-sectionally dependent In addition, the majority of existing studies use aggregate energy consumption, and thus fail to identify the impacts of energy consumption by sources on the environment In order to fulfill the mentioned gaps in the literature, this empirical study analyzes the influence of the real income, renewable energy consumption, non-renewable energy consumption, trade openness and financial development on CO2 emissions in the EKC model for the top countries listed in the Renewable Energy Country Attractiveness Index by employing heterogeneous panel estimation techniques with cross-section dependence. We find that the analyzed variables become stationary at their first-differences by using the CADF and the CIPS unit root tests, and the analyzed variables are cointegrated by employing the LM bootstrap cointegration test By using the FMOLS and the DOLS, we also find that increases in renewable energy consumption, trade openness and financial development decrease carbon emissions while increases in non-renewable energy consumption contribute to the level of emissions, and the EKC hypothesis is supported for the top renewable energy countries. (C) 2016 Elsevier Ltd. All rights reserved.Article Citation - WoS: 210Citation - Scopus: 229Determinants of Ecological Footprint in Mint Countries(Sage Publications Ltd, 2019-03-11) Dogan, Eyup; Taspinar, Nigar; Gokmenoglu, Korhan K.Environmental Kuznets curve literature mostly uses a single indicator as a measure for environmental degradation. However, each single variable captures only a part of the environmental problem, and a reduction in any single measure does not indicate that the environmental problem is diminishing in general. Our study is the first one which investigates the validity of the environmental Kuznets curve hypothesis for the Mexico, Indonesia, Nigeria, and Turkey (MINT) countries by employing the ecological footprint as the measure of environmental degradation. Autoregressive distributed lag results indicate that the environmental Kuznets curve hypothesis is valid for each of the MINT countries for the period of 1971-2013. The long-run coefficients of our augmented environmental Kuznets curve model show that fossil fuel energy consumption, exports, urbanization, and financial development are the most common causes of anthropogenic pressure on the environment. The effects of exports and imports are negative and positive on environmental degradation, respectively. The long-run coefficients of urbanization, financial development, and renewable energy consumption differ at certain levels for the sampled countries. The results of the analysis point to a number of different policy proposals for each country.Article Citation - WoS: 900Citation - Scopus: 985Determinants of CO2 Emissions in the European Union: The Role of Renewable and Non-Renewable Energy(Pergamon-Elsevier Science Ltd, 2016-08) Dogan, Eyup; Seker, FahriA 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.