Profile URL: https://hdl.handle.net/20.500.12573/2693
Job Title:Prof. Dr.
Email Address:eyup.dogan@agu.edu.tr
Main Affiliation:03.02. Ekonomi
Status: Current Staff
ORCID:
0009-0004-6651-460X
0009-0004-6651-460X Scopus ID:
56088161200
56088161200YÖK Akademik: AE9D60CCE096FD68
Google Scholar:
NKlJ3akAAAAJ&hl
NKlJ3akAAAAJ&hlWeb of Science ID:
J-8676-2019
J-8676-2019Name Variants:
Dogan, E. Dogan, Eyup
90 results
Scholarly Output Search Results
Now showing 1 - 10 of 90
Article Citation - WoS: 32Citation - Scopus: 33Revisiting 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: 11Citation - Scopus: 10A Fuzzy Goal Programming With Interval Target Model and Its Application to the Decision Problem of Renewable Energy Planning(Springer, 2020-07-14) Hocine, Amin; Guellil, Mohammed Seghir; Dogan, Eyup; Ghouali, Samir; Kouaissah, NoureddineOptimizing sustainable renewable energy portfolios is one of the most complicated decision making problems in energy policy planning. This process involves meeting the decision maker's preferences, which can be uncertain, while considering several conflicting criteria, such as environmental, societal, and economic impact. In this paper, rather than using existing techniques, a novel multi-objective decision making (MODM) model, named fuzzy goal programming with interval target (FGP-IT), is proposed and constructed based on recent developments and concepts in fuzzy goal programming (FGP) and revised multi-choice goal programming (RMCGP). The model deals with decision making problems involving a high level of uncertainty by offering decision makers a more flexible way to formulate and express their preferences, namely, fuzzy interval target goals. The proposed method is used to optimize a hypothetical sustainable wind energy portfolio in Algeria. The results show that the FGP-IT model is capable of assisting decision makers with uncertain preferences in making such complicated decisions.Article Citation - WoS: 352Citation - Scopus: 395The Influence of Renewable and Non-Renewable Energy Consumption and Real Income on CO2 Emissions in the USA: Evidence From Structural Break Tests(Springer Heidelberg, 2017-03-14) Dogan, Eyup; Ozturk, IlhanThe objective of this study is to explore the influence of the real income (GDP), renewable energy consumption and non-renewable energy consumption on carbon dioxide (CO2) emissions for the United States of America (USA) in the environmental Kuznets curve (EKC) model for the period 1980-2014. The Zivot-Andrews unit root test with a structural break and the Clemente-Montanes-Reyes unit root test with a structural break report that the analyzed variables become stationary at first-differences. The Gregory-Hansen cointegration test with a structural break and the bounds testing for cointegration in the presence of a structural break show CO2 emissions, the real income, the quadratic real income, renewable and non-renewable energy consumption are cointegrated. The long-run estimates obtained from the ARDL model indicate that increases in renewable energy consumption mitigate environmental degradation whereas increases in non-renewable energy consumption contribute to CO2 emissions. In addition, the EKC hypothesis is not valid for the USA. Since we use time-series econometric approaches that account for structural break in the data, findings of this study are robust, reliable and accurate. The US government is advised to put more weights on renewable sources in energy mix, to support and encourage the use and adoption of renewable energy and clean technologies, and to increase the public awareness of renewable energy for lower levels of emissions.Article Citation - WoS: 61Citation - Scopus: 49Analyzing the Determinants of Renewable Energy: The Moderating Role of Technology and Macroeconomic Uncertainty(Sage Publications Ltd, 2022-11-11) Chishti, Muhammad Zubair; Dogan, EyupIn line with the importance of SDG-7, a number of studies have endeavored to divulge the changes in renewable energy consumption (REC); however, the literature fails to either understand the importance of technology i.e., information communication technologies (ICT) and macroeconomic uncertainty in this context or employ robust econometric techniques. This research paper extends the prior literature by focusing on technology and macroeconomic uncertainty as novel determinants in addition to natural resources, human development, globalization, and economic growth as control variables of renewable energy for the top 10 renewable energy-consuming countries by applying several second and third generation econometric tests on annual data from 1990 to 2017. The empirical estimations determine ICT as a crucial factor of renewable energy, suggesting that it significantly triggers REC in the top economies. Conversely, the detrimental effects of uncertainty tend to shrink REC. Furthermore, natural resources, human development, globalization, and economic growth significantly boost REC as consistent with the existing literature. Based on these findings, this study suggests several SGD-oriented policies.Article Citation - WoS: 152Citation - Scopus: 163Analyzing 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 Ltd, 2017-11) Dogan, Eyup; Inglesi-Lotz, RoulaEven 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.Article Citation - WoS: 67Citation - Scopus: 76The Nexus Between Poverty, Inequality and Environmental Pollution: Evidence Across Different Income Groups of Countries(Elsevier Sci Ltd, 2022-03) Ehigiamusoe, Kizito Uyi; Majeed, Muhammad Tariq; Dogan, EyupEven though the literature has extensively focused on a number of determinants of environmental pollution, it lacks to incorporate the importance of poverty and inequality on the environment. The nexus of poverty-inequality-environment is indeed in line with the agenda of the United Nations' Sustainable Development Goals. Furthermore, the existing studies usually rely on carbon dioxide (CO2) emissions as the proxy for the pollution in their analysis. This study fills the mentioned gaps by investigating the impacts of income inequality and poverty on environmental pollution using ecological footprint (a comprehensive measure of the pollution) in addition to CO2 emissions for 70 countries categorized by income groups. This research employs the dynamic panel system Generalized Method of Moments (GMM) and the Dumitrescu-Hurlin Granger causality techniques which are strong to several econometric issues that may frequently arise in the estimation procedures. The empirical outcomes show that income inequality and poverty increase carbon emissions and ecological footprint in the entire panel. However, when the panel is split into groups, the results indicate that income inequality mitigates carbon emissions and ecological footprint in high-income group but aggravates them in middle-income group. Though poverty has no significant impact on carbon emissions in high-income group, it raises the levels of carbon emissions and ecological footprint in middle-income group. This study overall implies that income inequality and poverty are significant determinants of environmental pollution. Hence, efforts to abate envi-ronmental degradation should give adequate attention to poverty and inequality in order to attain environmental sustainability.Article Citation - WoS: 52Citation - Scopus: 157An 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, FahriThis 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.Article Citation - WoS: 151Citation - Scopus: 154The Impacts of Different Proxies for Financialization on Carbon Emissions in Top-Ten Emitter Countries(Elsevier, 2020-10) Amin, Azka; Dogan, Eyup; Khan, ZeeshanThe nexus of financialization and carbon emissions has been widely discussed in the literature. A vast body of literature that estimates the impact of financialization on carbon emissions proxies financialization with either domestic credit or market capitalization. However, these representatives do not fully respond to the complicated nature of financial development. To till the gaps in the existing literature, nine different proxies for financial development are used in the links with carbon emissions in the framework of EKC theory for the years 1980-2014. This study exposes reliable and robust empirical results due to the use of a number of proxies for financialization and second-generation econometric approaches in the empirical analysis. The quantile regression approach deals with unobserved heterogeneity for each cross-section and estimates different slope parameters at varying quantiles. Because non-normality and heterogeneity are detected in datasek quantile regression provides more robust and reliable estimates than conventional econometric techniques. Results from quantile regression estimator support mixed effects of financial development on carbon emissions over quantiles: in addition, the impact of financial development on carbon emissions is varying not only for each quantile but also for different proxies of financial development. The EKC hypothesis is validated for the top-ten emitter economies. Interpretations and policy suggestions are further discussed in the present study. (C) 2020 Elsevier B.V. All rights reserved.Book Part Citation - WoS: 5Citation - Scopus: 4Single-Country Versus Multiple-Country Studies(Academic Press Ltd-Elsevier Science Ltd, 2019) Aslan, Alper; Dogan, Eyup; Altinoz, BuketArticle Citation - WoS: 833Citation - Scopus: 959The 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.