Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395

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Language: search.filters.language.enSubject: search.filters.subject.Energy Transition

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  • Article
    Citation - WoS: 211
    Citation - Scopus: 227
    The Roles of Technology and Kyoto Protocol in Energy Transition Towards COP26 Targets: Evidence From the Novel GMM-PVAR Approach for G-7 Countries
    (Elsevier Science inc, 2022-08) Dogan, Eyup; Chishti, Muhammad Zubair; Alavijeh, Nooshin Karimi; Tzeremes, Panayiotis; Karimi Alavijeh, Nooshin
    The investigation of the determinants of energy transition has become very attractive and popular due to the Sustainable Development Goals and COP26 targets. However, one shortcoming of the existing studies is the inability to understand the effects of technology and environmental policy to energy transition while the other criticism is the use of conventional techniques that do not handle the endogeneity issue. Thus, this study investigates the impacts of technology and Kyoto Protocol in addition to several control variables to energy transition by applying the novel econometric method of Sigmund and Ferstl (2021) on the annual data from 2000 to 2019 for G-7 countries. The empirical results confirm the positive and significant link between technology and energy transition, such that, a 1% rise in technology enhances the energy transition by 0.32%. Similarly, Kyoto Protocol has a significantly positive impact on energy transition. An explanation is that the Protocol is based on principles and policies that emphasize the advanced and industrialized economies to enhance the environmental quality by promoting the renewable energy resources and reducing the greenhouse gases. Furthermore, the G-7 authorities should start to provide subsidies to clean energy and technology-related investors and levy multiple disincentives (i.e., higher tax rates) on the industries deploying the conventional and polluting methods for energy production. Further policy implications are discussed in the study.
  • Article
    Citation - WoS: 140
    Citation - Scopus: 157
    Analyzing the Nexus Between Energy Transition, Environment and ICT: A Step Towards COP26 Targets
    (Academic Press Ltd- Elsevier Science Ltd, 2023-01) Tzeremes, Panayiotis; Dogan, Eyup; Alavijeh, Nooshin Karimi
    In line with the Sustainable Development Goals and the recent COP26 summit, energy transition, low carbon emissions and technology have become extremely important subjects in the agenda of governments and poli-cymakers. The present study thus discusses the nexus between energy transition, economic growth, CO2 emis-sions and information and communications technology (ICT) in BRICS countries applying the novel GMM-PVAR method proposed on the annual data for the period 2000-2017. This method is strong to the issue of endogeneity which is commonly faced in the context of panel data analysis but mostly ignored in the literature. The findings of this research demonstrate that carbon emissions have a positive and significant effect on energy transition; similarly, raising economic growth augments the consumption of energy transition. Furthermore, ICT is found to be a significant choice in the development of energy transition and the solution of environmental challenges. Overall, technological factors in addition to economic and environmental factors also have great roles in the development of renewable energy and energy transition. Thus, results from this study call for government supports to develop ICT across the BRICS countries.
  • Article
    Citation - WoS: 318
    Citation - Scopus: 359
    A Step Forward on Sustainability: The Nexus of Environmental Responsibility, Green Technology, Clean Energy and Green Finance
    (Elsevier, 2022-05) Madaleno, Mara; Dogan, Eyup; Taskin, Dilvin
    The literature lacks enough evidence on the nexus of green finance and clean energy although the terms 'green' and 'clean' have been eminent concepts in sustainable development. Therefore, the fundamental objective of this study is to carry out the causal relationship among green finance, clean energy, environmental responsibility, and green technology by applying the novel time-varying causality test (Shi et al., 2018, 2020) on the daily data spanning from July 31, 2014, to October 12, 2021. The data follow persistent upward and downward movements; thus, the application of a time-varying approach should be reliable and robust. The recursive evolving and rolling window algorithms show bidirectional causalities among green finance, clean energy, environmental responsibility, and green technology, but not for the entire period, and with a special decrease and loss of significance in the COVID-19 period. In addition, clean energy caused by green finance is less evident, except in specific periods, especially at the start of the pandemic. However, higher volatility and significance of causality are observed for the entire period running from clean energy to green finance. Thus, green finance investments are promoted and proportionated by the need for clean energy. This study exhibits the need to design a comprehensive policy for strengthening environmental responsibility and green finance through the funding of green technology to successful energy transition and sustainable development goals.
  • Article
    Citation - WoS: 62
    Citation - Scopus: 67
    Understanding the Effects of Artificial Intelligence on Energy Transition: The Moderating Role of Paris Agreement
    (Elsevier, 2024) Chishti, Muhammad Zubair; Xia, Xiqiang; Dogan, Eyup
    This study contributes to the existing literature by investigating and confirming a range of diverse outcomes related to the interplay of factors shaping the global energy transition (ET). Employing advanced methodologies, including the extension of the QVAR technique to short-term (SR), medium-term (MR), and long-term (LR) connectedness analysis, as well as the application of the CQ method to explore relationships within varying market conditions and timeframes, the study examines the interconnectedness of critical variables: artificial intelligence (AI), the Belt and Road Initiative (BRI), the Paris Agreement (PA), green technologies (GT), geopolitical risk (GPR), and ET. The findings highlight several crucial insights. Firstly, all selected variables demonstrate substantial interconnectedness across different time horizons, except for MR, which exhibits comparatively weaker connectedness than SR and LR. Secondly, independent series reveal diverse impacts on ET across various market conditions and periods. For example, in SR, most series produce mixed effects on ET, with BRI having primarily adverse consequences and GPR predominantly yielding positive impacts. In MR, the influence of AI, PA, and GT on ET varies, while BRI enhances ET, and GPR essentially hampers it. Notably, in LR, AI, BRI, PA, and GT significantly promote ET, while GPR disrupts its progress. Additionally, the study underscores the dynamic and time-varying nature of the relationships between AI, BRI, PA, GT, GPR, and ET across different market conditions, thus holding essential implications for shaping global policies to foster sustainable energy transitions.
  • Article
    Citation - WoS: 31
    Citation - Scopus: 39
    Full-Length Effects of the Circular Economy, Environmental Policy, Energy Transition, and Geopolitical Risk on Sustainable Electricity Generation
    (Elsevier Sci Ltd, 2023) Chishti, Muhammad Zubair; Dogan, Eyup; Zaman, Umer
    The recent global paradigm shift toward sustainable green development necessitates revealing the likely green determinants of sustainable electricity generation in order to derive key policy recommendations for dealing with the global energy crisis. As a result, the current study focuses on the drivers of global electricity generation (EG) and identifies environmental policy (EP), energy transition (ET), geopolitical risk (GPR), and circular economy (CE) as novel determinants. The study employs a battery of advanced econometric techniques, including quantile VAR, quantile slope estimate, and wavelet-based correlation methods, for empirical analysis. The quantile VAR -based connectedness confirms the modeled series' significant interconnectedness. Furthermore, the findings suggest that CE plays an important role in promoting the global EG process, as evidenced by positive effects across quantiles. When the effects of ET and EP are considered, a positive relationship between ET, EP, and EG is discovered, implying that ET and EP are important drivers of electricity generation. Furthermore, GPR has significant and negative effects on EG across most quantiles, indicating that the EG process suffers a significant loss as a result of GPR. Furthermore, the wavelet-based correlation method confirms the significant association between selected series, supporting the preceding findings. In order to achieve sustainable electricity generation, several results-based policies are proposed for local and global authorities.