Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395
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Article Citation - WoS: 211Citation - Scopus: 227The 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, NooshinThe 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: 23Citation - Scopus: 32Can Artificial Intelligence and Green Finance Affect Economic Cycles?(Elsevier Science inc, 2024-12) Chishti, Muhammad Zubair; Dogan, Eyup; Binsaeed, Rima H.The COVID-19 recession and the Ukraine-Russia War (URW) crisis have added a new layer of complexity to global economic cycles, necessitating the evolution of economic systems and proactive responses to emerging economic challenges. In this context, the recent article introduces artificial intelligence (AI) as a new driver of economic cycles and analyzes its dynamic role alongside the Belt and Road Initiative (BRI), the Paris Agreement (PA), green finance (GB), and economic shocks (ES) in determining global economic cycles. The article employs novel econometric tools, namely the CAViaR-TVP-VAR model, the Quantile Coherence method, panel Quantile on Quantile Kernel-Based Regularized Least Squares (PQQKRLS), and the Quantile-Quantile Granger causality (QQGC) test for robust findings. The outcomes reveal that AI influences economic cycles in the short run while significantly mitigating these cycles in the medium and long run. Furthermore, the BRI exhibits a positive link with economic cycles during the short and medium run; however, it can contribute to economic stability in the long run by impeding economic fluctuations. Similarly, green finance and the PA show mixed influences across various time horizons, except for the long run, which confirms their negative association with economic cycles. Additionally, ES has a direct link with economic cycles across most periods. The robustness check based on the QQGC test and PQQKRLS method supports the main results. Our results identify AI, BRI, and the PA as new drivers of economic cycles with the potential to counter global economic cycles. Therefore, based on these findings, the study proposes several policy implications tailored to different time horizons.