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Browsing by Author "Inglesi-Lotz, Roula"

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    Analyzing the effects of real income and biomass energy consumption on carbon dioxide (CO2) emissions: Empirical evidence from the panel of biomass-consuming countries
    (PERGAMON-ELSEVIER SCIENCE LTDTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, 2017) Dogan, Eyup; Inglesi-Lotz, Roula; 0000-0001-7509-4687; 0000-0003-0476-5177; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü
    Even though the energy-growth-environment literature put a lot of effort into investigating the impact on carbon dioxide (CO2) emissions of aggregate energy consumption, aggregate renewable energy consumption and aggregate non-renewable energy consumption, the importance of biomass energy consumption for the environment is not well covered. Besides, the existing studies do not reach a consensus on the validity of the Environmental Kuznets Curve (EKC) hypothesis. Therefore, this study fulfills the gaps in the literature by investigating the impact of biomass energy consumption on CO2 emissions in the EKC model for the panel of biomass-consuming countries. By using some control variables and applying econometric approaches that take into account heterogeneity and cross-sectional dependence across countries in the panel, we find that the EKC hypothesis is valid and biomass energy consumption decreases the level of CO2 emissions. These results are supportive of the international notion that investing in biomass energy infrastructure and biomass supply are an appropriate direction the energy policy makers can use in their efforts to reduce environmental degradation in the long-run. (C) 2017 Elsevier Ltd. All rights reserved.
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    Examining the determinants of renewable energy deployment: Does the choice of indicator matter?
    (WILEY111 RIVER ST, HOBOKEN 07030-5774, NJ, 2021) Dogan, Eyup; Inglesi-Lotz, Roula; Altinoz, Buket; 0000-0003-0476-5177; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü; Dogan, Eyup
    Comprehending 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.
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    Factors affecting CO2 emissions in top countries on renewable energies: A LMDI decomposition application
    (PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, 2018) Moutinho, Victor; Madaleno, Mara; Inglesi-Lotz, Roula; Dogan, Eyup; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü
    This study breaks down carbon emissions into six effects considering the current Top 23 countries group on renewable energies, afterwards divided into two different groups (the TOP countries in Europe and the remaining group entering into the Top 23 countries included in the category Rest of the World). It analyses the effects evolution using a larger available data span that runs from 1985 until 2011, to determine which of the effects had more impact over changes of CO2 emissions. The complete additive decomposition technique was used to examine carbon dioxide (CO2) emissions and its components. Moreover, it is performed a comparative analysis to contrast their performance, and a decoupling analysis is presented. For the 1985-2011 period results point for different positive and negative impacts in the behavioral change of CO2 emissions throughout Europe as compared to the Rest of the World. Moreover, the productivity of renewable sources and the financial development effect in renewable electricity generation per GDP are the main responsible for the total and negative changes of CO2 emissions in the last decade; whereas an increase in total changes of emissions are observed due to the fossil fuel energy consumption effect. The multiplicative cross effect, into these two important effects in CO2 emissions decomposed, indicate an aggregate proxy effect of the energy technology level of a country's economy.
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    The impact of economic structure to the environmental Kuznets curve (EKC) hypothesis: evidence from European countries
    (SPRINGER HEIDELBERG, TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY, 2020) Dogan, Eyup; Inglesi-Lotz, Roula; 0000-0003-0476-5177; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü
    The purpose of this study is to examine the role of economic structure of European countries into testing the Environmental Kuznets Curve (EKC) hypothesis for European countries for the period 1980 to 2014. This study is inspired by the work of Lin et al. (J Clean Prod 133:712-724, 2016), which made the first effort to investigate the phenomenon looking only at African countries. The main finding of the study is that the overall economic growth is the factor with which CO2 emissions exhibit an inverted U-shaped relationship in the studied country group. On the contrary, when using their industrial share as a proxy to capture the countries' economic structure, the EKC hypothesis is not confirmed - but a U-shaped relationship is confirmed. The industrial share decreases emissions through the development and absorption of technologies that are energy efficient and environmental friendly. The EKC hypothesis is confirmed when the aggregate GDP growth is considered, taking into account the improvement of the overall economic conditions of the countries regardless of the economic structure and role of industrialization.
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    Race and energy poverty: Evidence from African-American households
    (ELSEVIER, 2022) Dogan, Eyup; Madaleno, Mara; Inglesi-Lotz, Roula; Taskin, Dilvin; 0000-0003-0476-5177; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü; Dogan, Eyup
    Even though energy poverty has been widely discussed in many countries, only a few studies attempt to understand the nexus of race and energy poverty. To fill the gap in the literature, this study analyses the effect of race on energy poverty by employing the U.S. representative household panel data with 9043 complete surveys. This research addresses possible endogeneity issues by employing the novel method proposed by Oster (2019) as a robustness check in addition to the application of logistic regressions and ordinary least squares estimates. The empirical results show that the probability of exposure to poverty is higher for African-American households. The empirical outcome also presents that health and income are significant factors through which race influences energy poverty. This study suggests that subsidy programs would be beneficial in ensuring the breakage of the link between race and energy poverty by providing preferential discounted rates and easier access to energy to specific demographics of the population. At least ending with the housing segregation of African-Americans in the USA would be a way to surpass these difficulties and decrease energy poverty. Further discussions are presented in this study.
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    The role of renewable versus non-renewable energy to the level of CO2 emissions a panel analysis of sub-Saharan Africa's Big 10 electricity generators
    (PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, 2018) Inglesi-Lotz, Roula; Dogan, Eyup; 0000-0001-7509-4687; 0000-0003-0476-5177; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü
    Undoubtedly, the increasing rates of CO2 emissions contribute highly to climate change. Studies stress the importance of understanding the determinants of emissions, in order to implement appropriate policies. In the past, literature only looked at the effect of aggregate energy to emissions; while nowadays, with the increasing role of renewables, they aim at evaluating the impacts of renewable and nonrenewable energies separately. Also, studies ignored possible cross-dependence among countries; concept particularly important for countries linked by trade or geographical position. Also, only lately, studies focused on developing economies. In this study, we aim to address these gaps of the literature by estimating the determinants (renewable and non-renewable energy, income and trade openness) of CO2 emissions for the ten biggest electricity generators in Sub-Saharan Africa for the period 1980 to 2011 by employing panel estimation techniques robust to cross dependence. A long-run relationship between the main variables is confirmed. Increases in non-renewable energy consumption intensify pollution while the opposite holds for renewable energy. With regards to direction of causal relationships, we observe a unidirectional causality running from emissions, income, trade and non-renewable energies towards renewable energies; from nonrenewable energy to emissions; and from emissions and non-renewable energies to trade. (C) 2018 Elsevier Ltd. All rights reserved.