Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395
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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: 197Citation - Scopus: 197International Trade and Environmental Performance in Top Ten-Emitters Countries: The Role of Eco-Innovation and Renewable Energy Consumption(Wiley, 2020-12) Ali, Shahid; Dogan, Eyup; Chen, Fuzhong; Khan, ZeeshanThe global economy is rising continuously, with a 3-4% aggregate annual growth in output, which poses a severe threat to the environment due to a consistent rise in the use of fossil fuel. Given the disastrous climate change due to the industrialization and increasingly growing demands for energy, countries around the globe are devising strategies to curb the release of greenhouse gases. This study examines the role of environmental innovation, trade, and renewable energy consumption in the nexus between trade and CO2 emissions for top 10 carbon emitter countries. The results suggest that there is evidence of cross-sectional dependency, and models are suffered from slope heterogeneity problem test popularized by Pesaran and Yamagata. The results of Westerlund cointegration method suggest that in there is long equilibrium relationship among CO2 emissions and other variables such as environmental innovation, trade, and renewable energy consumption and income. The results of cross-sectionally augment autoregressive distributed lags (CS-ARDL) method suggest that in the long run, environmental innovation, trade, and renewable energy consumption and income are important factors in explaining consumption-based carbon emission and territory-based carbon emission.Article Citation - WoS: 1Citation - Scopus: 2Do Digitalization and Green Innovation Limit Carbon Emissions? Evidences From BRICS Economies(Sage Publications Ltd, 2024-10-30) Zhang, Hong; Dogan, Eyup; Khan, Zeeshan; Binsaeed, Rima H.Rapidly evolving innovation and digitalization have captured the focus of policymakers and scholars regarding their potent role in influencing environmental quality. The present research analyzes the impact of these variables on the carbon emissions of Brazil, Russia, India, China, and South Africa economies from 1990 to 2021. This research also explores the impact of economic growth, quadratic green innovation, and green energy on carbon emissions. Using several panel diagnostic tests, this research validates heterogeneous slopes, the presence of cross-sectional dependence, and significant cointegration. Due to the mixed integration order, this research uses a cross-sectional augmented autoregressive distributed lag model, and the results show that economic expansion and green innovation are significant drivers of emissions in both the short and long run. However, digitalization, quadratic green innovation, environmental policy stringency, and green energy are significant in improving environmental quality and sustainability. The long-term results are tested by employing a series of parametric and nonparametric regressions. This research recommends further investment in environmental research and development, digital technologies, green innovation, and the strengthening of environmental policies to attain sustainable development.