WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/394
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Correction Citation - Scopus: 1Understanding the Effects of Artificial Intelligence on Energy Transition: the Moderating Role of Paris Agreement(Elsevier, 2025-02) Chishti, Muhammad Zubair; Xia, Xiqiang; Dogan, EyupArticle Citation - WoS: 54Citation - Scopus: 58Towards Green Recovery: Can Banks Achieve Financial Sustainability Through Income Diversification in ASEAN Countries(Elsevier, 2022-12) Najam, Hina; Abbas, Jawad; Alvarez-Otero, Susana; Dogan, Eyup; Sial, Muhammad SafdarEstablishing sustainable and balanced development for green financing is critical for improving financial sustainability and banks' capability. Banks struggle to achieve economic sustainability in the current highly competitive business environment. This research examines the impact of income diversification on financial sustainability proxy by return on assets (ROA) by applying the quantile regression technique to the data from banks of ASEAN countries over the period 2008-2019. In addition, liquidity risk, bank size, interest and non-interest incomes, and market capitalization are studied as control variables. The empirical findings indicate that income diversification positively impacts return on assets at all countries' lower, middle, and upper quantiles, even though sizes can differ across countries and quantiles. Moreover, market capitalization, non-interest income, and banks' size favorably impact banks' performance. In contrast, liquidity risk and interest incomes are negatively linked to the performance of banks for all countries at each quantile. These results have significant strategic implications for managers, regulators, and policymakers who share a common interest in boosting financial sustainability and performance and significantly shaping green recovery. (c) 2022 Economic Society of Australia, Queensland. Published by Elsevier B.V. All rights reserved.Article Citation - WoS: 358Citation - Scopus: 392The Use of Ecological Footprint in Estimating the Environmental Kuznets Curve Hypothesis for BRICST by Considering Cross-Section Dependence and Heterogeneity(Elsevier, 2020-06) Dogan, Eyup; Ulucak, Recep; Kocak, Emrah; Isik, CemA vast body of literature estimates the impact of economic growth on environmental degradation in the framework of EKC model. Typical empirical studies proxy environmental degradation with CO2 emissions; however, this indicator does not consider the complex nature of environmental degradation. To fulfill this omission, ecological footprint that tracks the use of multiple categories of productive surface areas is used as proxy for the environment. Moreover, studies that do not consider issues of heterogeneity and cross-sectional dependence may not produce reliable outcomes. Hence, the present study re-investigates the validity of the EKC hypothesis for BRICST (Brazil, Russia, India, China, South Africa, Turkey) by using ecological footprint and considering the mentioned issues in the estimation process. Based on the annual data covering the period of 1980-2014, excluding Russia due to data unavailability, empirical results show that the EKC hypothesis is not valid, and energy intensity and energy structure are important determinants of environmental degradation. In line with the empirical outputs, possible policy suggestions are discussed in the present study. (C) 2020 Elsevier B.V. All rights reserved.Article Citation - WoS: 135Citation - Scopus: 138The 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.Article Citation - WoS: 356Citation - Scopus: 404The Impact of Trade Openness on Global Carbon Dioxide Emissions: Evidence From the Top Ten Emitters Among Developing Countries(Elsevier, 2016-08) Ertugrul, Hasan Murat; Cetin, Murat; Seker, Fahri; Dogan, EyupThis study aims to analyze the relationship between carbon dioxide (CO2) emissions, trade openness, real income and energy consumption in the top ten CO2 emitters among the developing countries; namely China, India, South Korea, Brazil, Mexico, Indonesia, South Africa, Turkey, Thailand and Malaysia over the period of 1971-2011. In addition, the possible presence of the EKC hypothesis is investigated for the analyzed countries. The Zivot-Andrews unit root test with structural break, the bounds testing for cointegration in the presence of structural break and the VECM Granger causality method are employed. The empirical results indicate that (i) the analyzed variables are co-integrated for Thailand, Turkey, India, Brazil, China, Indonesia and Korea, (ii) real income, energy consumption and trade openness are the main determinants of carbon emissions in the long run, (iii) there exists a number of causal relations between the analyzed variables, (iv) the EKC hypothesis is validated for Turkey, India, China and Korea. Robust policy implications can be derived from this study since the estimated models pass several diagnostic and stability tests. (C) 2016 Elsevier Ltd. All rights reserved.Article Citation - WoS: 194Citation - Scopus: 217The Impact of Renewable Energy Consumption to Economic Growth: A Replication and Extension of Inglesi-Lotz (2016)(Elsevier, 2020-08) Dogan, Eyup; Altinoz, Buket; Madaleno, Mara; Taskin, DilvinThis study replicates and extends the results presented in a top-cited article in this journal, Inglesi-Lotz (2016), which analyzes the impact of renewable energy consumption to economic growth for the OECD countries by applying the ordinary least squares with fixed effect estimator on the data from 1990 to 2010. By using the same data and methods, this study first produces and compare empirical results with those reported in the original article. Then, it applies a set of new econometric methods on the same data to address heterogeneity in renewable energy and economic growth across the analyzed group of countries. The panel quantile regression estimation shows that the effect of renewable energy consumption on economic growth is positive for lower and lowmiddle quantiles; however, its effect becomes negative for middle, high-middle, and higher quantiles when renewable energy consumption is proxied by the absolute value. Furthermore, a negative impact of renewable energy on economic growth is observed in almost all quantiles when it is proxied by the share of renewable energy consumption to total energy consumption. These results greatly differ from those of the original study (C) 2020 Elsevier B.V. All rights reserved.Correction Race and Energy Poverty: Evidence From African-American Households(Elsevier, 2025-08) Dogan, Eyup; Madaleno, Mara; Inglesi-Lotz, Roula; Taskin, DilvinArticle Citation - WoS: 68Citation - Scopus: 70Race and Energy Poverty: Evidence From African-American Households(Elsevier, 2022-04) Dogan, Eyup; Madaleno, Mara; Inglesi-Lotz, Roula; Taskin, DilvinEven 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.Article Citation - WoS: 73Citation - Scopus: 76Production-Based and Consumption-Based Approaches for the Energy-Growth Nexus: Evidence from Asian Countries(Elsevier, 2020-07) Pandey, Sweety; Dogan, Eyup; Taskin, DilvinThe number of studies that highlight demand-side and supply-side of environmental degradation are quite limited in the literature. The aim of this study is to analyze the energy-growth-environment nexus in cooperation with globalization, urbanization, life expectancy and biocapacity as control variables by using both consumption-based and production-based approaches in an Environmental Kuznets Curve (EKC) framework for Asian countries over the years of 1971-2014. The empirical results show that globalization improves environmental quality while urbanization, life expectancy, biocapacity and energy consumption increase environmental degradation. While the EKC hypothesis is validated for supply-side analysis, it is not validated for demand-side analysis for the panel of Asian countries. The governments should take initiatives to invest in research and development for the usage, promotion, development and adoption of clean energies. The policymakers should emphasize on the development of urban planning strategies of Asian countries to overcome the negative effects of urbanization on the environment. Further implications are discussed in the study. (C) 2020 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.Article Citation - WoS: 32Citation - Scopus: 33Influence Mechanism of Electricity Price Distortion on Industrial Green Transformation: A Spatial Analysis of Chinese Regions(Elsevier, 2024-02) Razzaq, Asif; Sharif, Arshian; Yang, Xiaodong; Dogan, EyupElectricity price distortion (DIS) can significantly affect industrial green transformation (IGT), influencing the pace and direction of sustainable economic growth. Understanding this link is essential for crafting effective green energy policies. Initially, this study evaluates the direct and heterogeneous effects of DIS on IGT and then investigates the indirect influence channels using a sample of 30 Chinese provincial-level administrative regions from 2006 to 2019. Spatial analysis techniques (standard deviation ellipse and geographically and temporally weighted regression methods) are applied to explore the spatial and temporal dependence and non-stationary association between DIS and IGT. The outcomes suggest that DIS significantly reduces IGT in the eastern region through R&D input intensity and energy mix, while insignificant in the central and western regions. The adverse effect of DIS is more substantial at higher quantiles of IGT. The individual spatial heterogeneity characteristics reveal that the gravity centre of IGT is located in the southeast of the geometric centre of China, displays a southwest-northeast-southeast directional migration, and distributed at the junction of Henan and Hubei. Manifestly, the ellipse and azimuth of IGT vary significantly between 0.862 degrees -32.854 degrees. The IGT level steadily progresses from discrete to concentrated, reflected by the ellipse's long and short semi-axes. These regions are mainly concentrated in the eastern and northwestern areas, with the most significant inhibitory effects in Fujian, Anhui, Shaanxi, Zhejiang, and Yunnan. These findings offer valuable policy implications.