Ekonomi Bölümü Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/410

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Browsing Ekonomi Bölümü Koleksiyonu by Journal "Energy Economics"

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    Article
    Citation - WoS: 52
    Citation - Scopus: 56
    Understanding the Effects of Artificial Intelligence on Energy Transition: The Moderating Role of Paris Agreement
    (Elsevier, 2024) Chishti, Muhammad Zubair; Xia, Xiqiang; Dogan, Eyup; 0000-0003-0476-5177; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü; Dogan, Eyup; 01. Abdullah Gül University; 03.02. Ekonomi; 03. Yönetim Bilimleri Fakültesi
    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.
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    Citation - WoS: 173
    Citation - Scopus: 188
    Which Households Are More Energy Vulnerable? Energy Poverty and Financial Inclusion in Turkey
    (Elsevier, 2021) Dogan, Eyup; Madaleno, Mara; Taskin, Dilvin; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü; Dogan, Eyup; 01. Abdullah Gül University; 03.02. Ekonomi; 03. Yönetim Bilimleri Fakültesi
    This study examines the effects of financial inclusion on energy poverty using the 2018 Turkish Household Budget and Consumption Expenditure Surveys. The study adopts three different measures of energy poverty and then analyzes the impact of financial inclusion proxied by a multidimensional index on energy poverty using different estimation strategies. After addressing the endogeneity of financial inclusion by instrumenting financial inclusion with access to the nearest bank in a two-stage least squares framework, the empirical results show that financial inclusion significantly alleviates energy poverty while its impact is higher for female-headed households. These findings are robust to Oster's (2019) bounds estimates that deal with omitted variable bias. The results also suggest that health and income are significant through which financial inclusion influences energy poverty. The findings thus point to the need for policies that promote financial inclusion as a way of alleviating energy poverty. (C) 2021 Elsevier B.V. All rights reserved.