Ekonomi Bölümü Koleksiyonu

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

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Citation - WoS: 48
Citation - Scopus: 59
Are Clean Energy and Carbon Emission Allowances Caused by Bitcoin? A Novel Time-Varying Method
(Elsevier Sci Ltd, 2022) Dogan, Eyup; Majeed, Muhammad Tariq; Luni, Tania; 0000-0003-0476-5177; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü; Dogan, Eyup; 01. Abdullah Gül University; 03.02. Ekonomi; 03. Yönetim Bilimleri Fakültesi
The bitcoin market has substantially grown in recent years. The researchers are exploring its various repercussions for socioeconomic and political matters; however, the literature still lacks clear evidence on how bitcoin interacts with energy and the environment. This study aims to explore the causal relationship between bitcoin, clean energy, and carbon emissions allowances by applying the novel time-varying Granger causality test on the daily data spanning from Sept 17, 2014, to October 12, 2021. The empirical findings confirm that both clean energy and emission allowances are causally associated with bitcoin. However, this causal relationship varies over time and the duration of causality is longer as suggested by the recursive evolving procedure. The outcome is robust when bitcoin is measured by the volume and the price. Furthermore, the results obtained from robustness analysis conducted through heteroskedastic consistent test also validate the findings that bitcoin causes clean energy and carbon allowance. The findings offer a platform for government officials and policy managers to improve clean energy and carbon allowance markets for sustainable development by managing and using the tools to control and regulate cryptocurrency markets.
Citation - WoS: 16
Citation - Scopus: 18
Assessing the Impact of COVID-19 Pandemic in Turkey With a Novel Economic Uncertainty Index
(Emerald Group Publishing Ltd, 2021) Mugaloglu, Erhan; Polat, Ali Yavuz; Tekin, Hasan; Kilic, Edanur; 0000-0001-5362-6259; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü; Mugaloglu, Erhan; 01. Abdullah Gül University
Purpose This study aims to measure economic uncertainty in Turkey by a novel economic uncertainty index (EUI) employing principal component analysis (PCA). We assess the impact of Covid-19 pandemic in Turkey with our constructed uncertainty index. Design/methodology/approach In order to obtain the EUI, this study employs a dimension reduction method of PCA using 14 macroeconomic indicators that spans from January 2011 to July 2020. The first principal component is picked as a proxy for the economic uncertainty in Turkey which explains 52% of total variation in entire sample. In the second part of our analysis, with our constructed EUI we conduct a structural vector autoregressions (SVAR) analysis simulating the Covid-19-induced uncertainty shock to the real economy. Findings Our EUI sensitively detects important economic/political events in Turkey as well as Covid-19-induced uncertainty rising to extremely high levels during the outbreak. Our SVAR results imply a significant decline in economic activity and in the sub-indices as well. Namely, industrial production drops immediately by 8.2% and cumulative loss over 8 months will be 15% on average. The losses in the capital and intermediate goods are estimated to be 18 and 25% respectively. Forecast error variance decomposition results imply that uncertainty shocks preserve its explanatory power in the long run, and intermediate goods production is more vulnerable to uncertainty shocks than overall industrial production and capital goods production. Practical implications The results indicate that monetary and fiscal policy should aim to decrease uncertainty during Covid-19. Moreover, since investment expenditures are affected severely during the outbreak, policymakers should impose investment subsidies. Originality/value This is the first study constructing a novel EUI which sensitively captures the critical economic/political events in Turkey. Moreover, we assess the impact of Covid-19-driven uncertainty on Turkish Economy with a SVAR model.
Citation - WoS: 12
Citation - Scopus: 12
Glass Ceiling in Academia Revisited: Evidence From the Higher Education System of Turkey
(Routledge Journals, Taylor & Francis Ltd, 2021) Bulbul, Serap; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü; Bulbul, Serap; 01. Abdullah Gül University; 03.02. Ekonomi; 03. Yönetim Bilimleri Fakültesi
Current study investigates the gender gap in academic promotions in Turkey taking a new perspective on the widely established existence of gender inequality in academia. The dataset includes the eight most-prominent research universities in Turkey and the nature of the 'glass ceiling' is explored by looking at the gendered distributions of: (1) academic seats -indicating academic performances, and (2) coauthorship patterns concerning genders. Findings suggest that there is gender disparity in academic performances as well as in academic promotions. In addition, gender is found to be a significant factor in explaining the current situation in academic ranks and subtle discrimination practices may exist instead of overt discrimination practices as it is also suggested in previous studies. In sum, results show two main points: (1) There is evidence of gender gap in academic promotions in Turkey, (2) A new variable -cross gender coauthorship- for glass ceiling research may provide further insight about the issue.
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.
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.

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