WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/394
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Article Citation - WoS: 31Citation - Scopus: 31Revisiting the Nexus Among Carbon Emissions, Energy Consumption and Total Factor Productivity in African Countries: New Evidence from Nonparametric Quantile Causality Approach(Elsevier Sci Ltd, 2020-03) Dogan, Eyup; Tzeremes, Panayiotis; Altinoz, BuketThis study aims to contribute to the existing thin body of nonlinear causality literature by applying the new hybrid nonparametric quantile causality approach. In this line, we investigate the non-linear nexus among total factor productivity, energy consumption and carbon emissions for seventeen African countries. From the results, it is remarkable that there are generally strong causalities between the variables in the middle lower, middle upper and middle quantiles. Hence, energy consumption, environmental pollution and total factor productivity are closely linked in African countries. In particular, bidirectional linkage is detected between total factor productivity and energy consumption for Angola, Benin, Botswana, Cote d'Ivoire, Kenya, Morocco, Egypt, Nigeria and Tunisia. Studying the relationship between total factor productivity and emissions again at the middle quantile bidirectional causal ordering is documented almost for all the countries. Lastly and regarding the linkage between energy consumption and carbon emissions, a strong bidirectional ordering between the two variables is confirmed for Angola, Benin, Cote d'Ivoire, Cameroon, Kenya, Morocco, Egypt, Mozambique, Nigeria, Senegal and Tunisia. We can notice that an increase in economic development is critical for these countries; a number of regulatory policies for environmental problems and energy consumption are required during this development.Article Citation - WoS: 58Citation - Scopus: 62Examining the Determinants of Renewable Energy Deployment: Does the Choice of Indicator Matter(Wiley, 2021-01-17) Dogan, Eyup; Inglesi-Lotz, Roula; Altinoz, BuketComprehending the determinants of renewable energy (RE) deployment has preoccupied the energy literature as well as policymakers internationally due to countries' overall shift away from fossil fuels in the energy mix. As stated in the literature, empirical studies that analyze the determinants of RE deployment use a number of different indicators for RE. The effect of an ambiguous choice of the proxy might produce various outcomes and thus create inconsistencies in the policy recommendations. This study aims at filling this gap in the literature comparing and contrasting not only the use of RE indicators but also, for robustness purposes, using indicators at aggregate and per capita forms for a global sample, developed countries, and developing countries. For the empirical purpose, this study employs two econometric techniques: the pooled ordinary least squares with robust SEs and the augmented mean group estimator, which account for cross-sectional dependence in the dataset. The results show that a 1% increase in gross domestic product (GDP) or GDP per capita leads to an increase in RE between 0.05% and 1.01% and a 1% increase in energy price causes an increase in RE between 0.07% and 0.99% with respect to various proxies, implying that the magnitudes of impacts of income and oil price are quite smaller when RE is proxied with RE consumption than when it is proxied with RE production. In addition, their impacts dramatically change across the choice between the share of RE and the levels of RE. More interestingly, not only the size of the effect of carbon emissions but also its direction changes across indicators. Overall, the choice of RE indicator is of great importance in putting forward reliable and consistent policy suggestions.