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Browsing by Author "Taskin, Dilvin"

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    Article
    Citation - WoS: 28
    Citation - Scopus: 34
    A dynamic connectedness analysis between rare earth prices and renewable energy
    (ELSEVIER SCI LTD, 2023) Mara Madaleno; Dilvin Taskin; Eyup Dogan; Panayiotis Tzeremes; Taskin, Dilvin; Tzeremes, Panayiotis; Dogan, Eyup; Madaleno, Mara
    Current world environmental challenges put pressure on clean energy produced mostly through renewables. There is an undeniably important role of rare earth minerals in renewable energy technologies. This study aims to infer the relationship between rare earth clean energy renewable energy technologies and carbon emissions focusing on daily stock price index data and applying the novel quantile time-frequency connectedness model and the cross-quantilogram dependence approach during 2012-2022. Results show that spillovers among rare earth minerals and renewable energy are dependent on market conditions time horizons and analyzed quan-tiles. They also highlight the net receiver role of rare earth especially in the short term. Findings might help investors understand diversification benefits and support policymakers in developing strategies for lessening import dependence on rare earth metals as important as they are for renewable technology adoption to ensure green growth.
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    Citation - WoS: 312
    Citation - Scopus: 352
    A step forward on sustainability: The nexus of environmental responsibility green technology clean energy and green finance
    (Elsevier B.V., 2022) M. Teresa Madaleno; Eyup Dogan; Dilvin Taşkın; Taskin, Dilvin; Dogan, Eyup; Madaleno, Mara
    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. © 2022 Elsevier B.V. All rights reserved.
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    Citation - WoS: 114
    Citation - Scopus: 118
    Analysis of CO2 emissions and energy consumption by sources in MENA countries: evidence from quantile regressions
    (Springer Science and Business Media Deutschland GmbH, 2021) Majed D. Alharthi; Eyup Dogan; Dilvin Taşkın; Taskin, Dilvin; Dogan, Eyup; Alharthi, Majed
    The development of economies and energy usage can significantly impact the carbon dioxide (CO2) emissions in the Middle East and North Africa (MENA) countries. Therefore this study aims to analyze the factors that determine CO2 emissions in MENA under the environmental Kuznets curve (EKC) framework by applying novel quantile techniques on data for CO2 emissions real income renewable and non-renewable energy consumption and urbanization over the period from 1990 to 2015. The results from the estimations suggest that renewable energy consumption significantly reduces the level of emissions, furthermore its impact increases with higher quantiles. In addition non-renewable energy consumption increases CO2 emissions while its magnitude decreases with higher quantiles. The empirical results also confirm the validity of EKC hypothesis for the panel of MENA economies. Policymakers in the region should implement policies and regulations to promote the adoption and use of renewable energy to mitigate carbon emissions. © 2021 Elsevier B.V. All rights reserved.
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    Analysis of disaggregated level energy use income geopolitical risk energy transition and energy price impact on decarbonization of main sectors in BRICS countries by marginal analysis
    (SAGE Publications Inc., 2025) Mustafa Tevfik Kartal; Dilvin Taşkın; Serpil Kılıç Depren; Piotr F. Borowski; Mert Sarioglu; Taskin, Dilvin; Sarioglu, Mert; Kılıç Depren, Serpil; Depren, Serpil Kilic; Kartal, Mustafa Tevfik; Borowski, Piotr F.
    This study analyzes the impact of critical factors (i.e. energy consumption (EC) income (GDP) geopolitical risk (GPR) energy transition and energy prices). In doing this the study focuses on Brazil Russia India China and South Africa (BRICS) countries which are the leading emerging countries considers carbon dioxide (CO2) emissions industry power and transport sectors uses yearly data from 2000 to 2022 and performs a kernel-based regularized least squares (KRLS) approach to uncover the marginal impact of the factors. The outcomes demonstrate that (a) the impacts of the factors on sectoral CO2emissions vary marginally across economic sectors factors used and levels of the variables, (b) the statistical significance of the factors considered differentiate which implies that some factors are much more critical than others across countries and sectors, (c) for industry sector CO2emissions Brazil can benefit from the marginal decreasing impact of gas and renewable EC GDP and GPR whereas it is valid in Russia (South Africa) for gas (GPR and energy prices) impact, (d) for power sector CO2emissions Brazil can use nuclear EC energy transition and energy prices whereas nuclear and renewable EC as well as GDP and GPR (renewable EC and GPR) is beneficial for Russia (South Africa), (e) for transport sector CO2emissions GPR (renewable EC) can be relied on in Brazil (Russia), and (f) the KRLS approach has a superior prediction capacity reaching 99.8%. Overall the study empirically shows the varying marginal impacts of the factors on the decarbonization of the sectors. © 2025 Elsevier B.V. All rights reserved.
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    Citation - WoS: 55
    Citation - Scopus: 64
    Analyzing the nexus of green economy- clean and financial technology
    (ELSEVIER, 2022) Noura Metawa; Eyup Dogan; Dilvin Taskin; Taskin, Dilvin; Metawa, Noura; Dogan, Eyup
    The connection between the green economy technology and finance has recently become a popular topic for analyzing economic and policy matters. Financial technology can provide not only an opportunity to tap into new pools of private capital to finance green and sustainable projects through innovative financial instruments but also provide support to clean technologies through the adoption of voluntary sustainability codes of conduct. However there is still a lack of clear scientific evidence in the literature about how the green economy interacts with these relevant indicators of sustainable finance. Thus this paper examines the time-varying causal relationship between indexes of financial technology (FinTech) clean technology (CleanTech) and the green economy (GECON) by applying the novel method proposed by Shi et al. (2018 2020) on daily data from June 15 2012 to December 15 2021. This study finds a higher volatility and causality running from GECON to CleanTech and FinTech for the entire period. Furthermore the green economy Granger causes FinTech and CleanTech with very significant episodes especially at the start of the COVID-19 pandemic. The robustness of the results was checked with a rolling window and recursive evolving techniques that overall confirm bidirectional causal relationships between green economy and technology variables. The findings imply that global initiatives to achieve low-carbon economies need to be complemented with the use of clean technologies in the production process and the continuous digitalization of financial sectors. The promotion of clean technology production by governments and the increased interest of investors in FinTech industries will stimulate green economic growth.(c) 2022 Published by Elsevier B.V. on behalf of Economic Society of Australia Queensland.
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    Citation - WoS: 46
    Citation - Scopus: 53
    Analyzing the relationship between energy efficiency and environmental and financial variables: A way towards sustainable development
    (Elsevier Ltd, 2022) Dilvin Taşkın; Eyup Dogan; M. Teresa Madaleno; Taskin, Dilvin; Dogan, Eyup; Madaleno, Mara
    The literature has mainly relied on an annual and short span of data to analyze the relationship between energy environmental and financial indicators. This study analyzes the relationship between energy efficiency energy research pollution mitigation and FinTech by applying two novel methods-the causality test in the frequency domain [11] and the causality test in the time domain (Shi et al. 2018, 2020)- on the daily data from June 17 2016 to November 16 2021. Empirical results from the frequency domain test report that pollution mitigation temporarily causes energy efficiency only in the short run while energy efficiency Granger causes it in the short medium and long run. Furthermore energy efficiency can predict FinTech in the short medium and long-run, on the other way FinTech Granger causes energy efficiency in the long and medium run suggesting a permanent causality relationship. Empirical results from the time-varying test show a bidirectional relationship between energy efficiency and environmental and financial variables especially with very high significant episodes around the recent pandemic collapse. Policymakers should promote the launch of financial technologies that will provide finance through green bonds for energy efficiency improvements as well as energy efficiency improvements for pollution mitigation. Further policy implications are discussed in the study. © 2022 Elsevier B.V. All rights reserved.
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    Review
    Citation - WoS: 16
    Citation - Scopus: 21
    Clustering of firms based on environmental social and governance ratings: Evidence from BIST sustainability index
    (Borsa Istanbul Anonim Sirketi, 2022) Gorkem Sariyer; Dilvin Taşkın; Taskin, Dilvin; Sariyer, Gorkem
    In this paper companies listed on the Borsa Istanbul (BIST) Sustainability Index are analyzed by performing a cluster analysis based on their environmental social and governance (ESG) scores. The results prove that firms with higher ESG ratings do not necessarily perform well in all ESG aspects. The outcomes of the cluster analysis reveal that firms with higher environmental and social scores are the cluster with the most prominent firms in terms of size but with low profitability. However the group that scored poorly in environmental and social practices but the highest governance pillar was the highest performing in terms of the return on assets. This paper highlights the significance of forming clusters and linking sustainability practices with performance characteristics. © 2023 Elsevier B.V. All rights reserved.
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    Erratum
    Corrigendum to “Race and energy poverty: Evidence from African-American households” [Energy Economics Volume 108 April 2022 105908](S0140988322000883)(10.1016/j.eneco.2022.105908)
    (Elsevier B.V., 2025) Eyup Dogan; M. Teresa Madaleno; Roula Inglesi-Lotz; Dilvin Taşkın; Taskin, Dilvin; Inglesi-Lotz, Roula; Dogan, Eyup; Madaleno, Mara
    The aim of this corrigendum is to correct the rounding errors in Table 5 and to correct Tables 7 and 8 as they are mistakenly produced based on the reduced sample of Table 6. Authors would like to note that the results are slightly different. The authors would like to apologize for any inconvenience caused. © 2025 Elsevier B.V. All rights reserved.
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    Book
    Cost–benefit analysis
    (Edward Elgar Publishing Ltd., 2025) Dilvin Taşkın; Taskin, Dilvin
    Cost and benefit analysis (CBA) is a widely used approach for assessing the costs and benefits of projects and investments. In the energy sector CBA helps evaluate the economic feasibility of energy-related initiatives such as renewable energy investments and energy efficiency measures. By comparing costs and benefits decision-makers can make informed choices. However CBA has limitations including the need for longer time horizons and careful selection of reference scenarios. Despite these limitations CBA remains attractive for addressing budget constraints and maximizing societal welfare and economic efficiency. © 2025 Elsevier B.V. All rights reserved.
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    Article
    Citation - WoS: 40
    Citation - Scopus: 40
    Do asymmetric information and leverage affect investment decisions?
    (Elsevier B.V., 2023) Muhammad Munir Ahmad; Ahmed Imran Hunjra; Dilvin Taşkın; Taskin, Dilvin; Hunjra, Ahmed Imran; Ahmad, Muhammad Munir
    We investigate the impact of asymmetric information on the investment decisions of firms and analyze the effect of asymmetric information on the over-investment and under-investment of firms. Further we examine the effect of leverage on the investment behavior of firms and check this association in the presence of asymmetric information. We extract data from DataStream of 280 non-financial firms listed at Pakistan Stock Exchange over the period of 2000 to 2018. We apply the Fixed Effect Model to analyze the data and System Generalized Method of Moments to check the robustness of the results. We find that asymmetric information negatively affects the investment decisions of firms. Due to asymmetric information investment decreases rapidly as compared to increase in investment. Further leverage is an important determinant of investment decisions and the presence of asymmetric information increases the adverse effect of leverage on the investment of firms. © 2023 Elsevier B.V. All rights reserved.
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    Article
    Citation - WoS: 8
    Citation - Scopus: 11
    Do past ESG scores efficiently predict future ESG performance?
    (ELSEVIER, 2025) Dilvin Taskin; Gorkem Sariyer; Ece Acar; Efe Caglar Cagli; Taskin, Dilvin; Sariyer, Gorkem; Acar, Ece; Cagli, Efe Caglar
    Given the effects of Environmental Social and Governance (ESG) scores on financial performance and stock returns the prediction of future ESG scores is highly crucial. ESG scores are calculated using an enormous number of variables related to the sustainability practices of firms, thus it is impractical for investors to come up with predictions of ESG performance. This paper aims to fill this gap by using only the past score-based and rating-based ESG performance as the determinant of future ESG performance using four machine learning-based algorithms, decision tree (DT) random-forest (RF) k-nearest neighbor (KNN) and logistic regression (LR). The proposed model is validated in BIST sustainability index companies. The results suggest that past ESG grade-based and numerical scores can be used as a determinant of future ESG performance. The results prove that a simple indicator could serve to predict future ESG scores rather than complex data alternatives. Using data from BIST sustainability index companies in Turkey the findings demonstrate that past ESG grades and scores are reliable predictors of future ESG performance offering a simple yet effective alternative to complex data-driven methods. This study not only contributes to advancing sustainable finance practices but also provides practical tools for emerging markets like Turkey to align corporate strategies with global sustainability standards. The methodological contributions also have broader relevance for international financial markets.
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    Citation - WoS: 20
    Citation - Scopus: 20
    Dynamic relationship between green bonds- energy prices- geopolitical risk- and disaggregated level CO2 emissions: evidence from the globe by novel WLMC approach
    (SPRINGER, 2024) Mustafa Tevfik Kartal; Dilvin Taskin; Serpil Kilic Depren; Taskin, Dilvin; Kılıç Depren, Serpil; Depren, Serpil Kilic; Kartal, Mustafa Tevfik
    This research analyzes the dynamic relationship between green bonds energy prices geopolitical risk and CO2 emissions. In doing so the study examines the global scale at disaggregated (i.e. sectoral) level applies a novel time and frequency-based approach (i.e. wavelet local multiple correlation-WLMC) and uses high-frequency daily data between 1st January 2020 and 28th April 2023. In doing so the study considers the potential differences among sectors. So aggregated and disaggregated level CO2 emissions on sectoral bases are investigated. Hence the study comprehensively uncovers the effect of the aforementioned indicators on global CO2 emissions. The results reveal that on CO2 emissions (i) the most influential factor is the geopolitical risk (2020/1-2021/5) green bonds (2021/5-2021/7) energy prices (2021/7-2023/1) and green bonds (2023/1-2023/4), (ii) the effects of the influential factors are much weaker (stronger) at lower (higher) frequencies, (iii) the effect of the influential factors change based on times and frequencies, (iv) however the effects of the influential factors on CO2 emissions do not differ at aggregated or disaggregated levels. Overall the results present novel insights for time and frequency-varying effects as well as both aggregated and disaggregated level analyses of global CO(2 )emissions.
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    Citation - WoS: 46
    Citation - Scopus: 53
    Environmental social and governance (ESG) investing and commodities: dynamic connectedness and risk management strategies
    (EMERALD GROUP PUBLISHING LTD, 2023) Efe C. Caglar Cagli; Pinar Evrim Mandaci; Dilvin Taskin; Taskin, Dilvin; Mandaci, Pinar Evrim; Cagli, Efe C. Caglar
    Purpose The purpose of this study is to examine the dynamic connectedness and volatility spillovers between commodities and corporations exhibiting the best environmental social and governance (ESG) practices. In addition the authors determine the optimal hedge ratios and portfolio weights for ESG and commodity investors and portfolio managers. Design/methodology/approach This study uses the novel frequency connectedness framework to point out volatility spillover between ESG indices covering the USA developed and emerging markets and commodity indices including energy (crude oil natural gas and heating oil) industrial metals (aluminum copper zinc nickel and lead) and precious metals (gold and silver) by using daily data between January 3 2011 and May 26 2021 covering significant socio-economic developments and the COVID-19 outbreak. Findings The results of this study suggest a total connectedness index at a mediocre level mainly driven by the shocks creating uncertainty in the short term. And the results indicate that all ESG indices are net volatility transmitters and all commodity indices other than crude oil and copper are net volatility receivers. Practical implications The results imply statistically significant hedging and portfolio diversification opportunities to investors and portfolio managers across the asset classes proven by the hedging effectiveness analyses. Social implications This study provides implications for policymakers focusing on the risk of contagion among the commodity and ESG markets during turbulent periods to ensure international financial stability. Originality/value This study contributes to the existing literature by differentiating ESG portfolios as the USA developed and developing markets and examining dynamic connectedness and volatility spillovers between ESG portfolios and commodities with a different technique. This study also contributes by considering COVID-19 outbreak.
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    Citation - WoS: 37
    Citation - Scopus: 47
    Financial inclusion and poverty: evidence from Turkish household survey data
    (Routledge, 2022) Eyup Dogan; M. Teresa Madaleno; Dilvin Taşkın; Taskin, Dilvin; Dogan, Eyup; Madaleno, Mara
    Even though poverty is highly felt in developing economies the lack of relevant and complete micro-level data limits understanding which households are more exposed to poverty and the role of financial inclusion in poverty in these countries. This research analyzes the effects of financial inclusion proxied by a multidimensional index on three poverty measures (the lowest-income poverty line a lower-middle-income line and an upper-middle-income line) by employing the recent Turkish Household Budget and Consumption Expenditure Survey data with 11595 complete answers. In addition to the application of logistic regressions this study addresses possible endogeneity issues by using access to the nearest bank as an instrument in a two-stage least-squares regression and employing the novel method as a robustness check. Empirical results point out that an increase in financial inclusion decreases poverty in Turkey. The adverse effect of financial inclusion on poverty is validated through a few robustness and sensitivity analyses. The outcome also indicates that health expenditure and income are essential through which poverty is influenced by financial inclusion. Thus policies are required to enhance the financial inclusion of households to alleviate poverty. Further discussions are presented in this study. © 2022 Elsevier B.V. All rights reserved.
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    Book Part
    Citation - Scopus: 1
    Financing strategies for new product development and innovation
    (Springer International Publishing, 2021) Dilvin Taşkın; Taskin, Dilvin
    This chapter focuses on the sources and strategies for financing for new product development and small businesses. It is clear that every venture has different life cycles and it is evident that a different financing strategy is needed in different stages of the life cycle. Despite the general belief that entrepreneurs can find financial resources from angel investors or venture capital firms we present that these rarely finance new products at the inception. This chapter presents alternative financing sources for new product development and entrepreneurs. © 2023 Elsevier B.V. All rights reserved.
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    Article
    Citation - WoS: 35
    Citation - Scopus: 42
    How are energy transition and energy-related R&D investments effective in enabling decarbonization? Evidence from Nordic Countries by novel WLMC model
    (Academic Press, 2024) Mustafa Tevfik Kartal; Muhammad Shahbaz; Dilvin Taşkın; Serpil Kılıç Depren; Fatih Ayhan; Taskin, Dilvin; Kılıç Depren, Serpil; Shahbaz, Muhammad; Depren, Serpil Kilic; Ayhan, Fatih; Kartal, Mustafa Tevfik
    Public interest in climate change-related problems has been developing with the contribution of the recent energy crisis. Accordingly countries have been increasing their efforts to decarbonize economies. In this context energy transition and energy-related research and development (R&D) investments can be important strategic tools to be helpful to countries in the decarbonization of economies. Among all Nordic countries have come to the force because of their well-known position as green economies. Hence this study examines Nordic countries to investigate the impact of energy transition renewable energy R&D investments (RRD) energy efficiency R&D investments (EEF) on carbon dioxide (CO2) emissions by performing wavelet local multiple correlation (WLMC) model and using data from 2000/1 to 2021/12. The outcomes reveal that (i) based on bi-variate cases energy transition and RRD have a mixed impact on CO2 emissions in all countries across all frequencies, EEF has a declining impact on CO2 emissions in Norway (Sweden) at low and medium (very high) frequencies, (ii) according to four-variate cases all variables have a combined increasing impact on CO2 emissions, (iii) RRD is the most influential dominant factor in all countries excluding Norway where EEF is the pioneering one. Thus the reach proves the varying impacts of energy transition RRD and EEF investments on CO2 emissions. In line with the outcomes of the novel WLMC model various policy endeavors such as focusing on displacement between sub-types of R&D investments are argued to ensure the decarbonization of the economies. © 2024 Elsevier B.V. All rights reserved.
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    Article
    Citation - WoS: 145
    Citation - Scopus: 156
    Investigating the spillovers and connectedness between green finance and renewable energy sources
    (PERGAMON-ELSEVIER SCIENCE LTD, 2022) Eyup Dogan; Mara Madaleno; Dilvin Taskin; Panayiotis Tzeremes; Taskin, Dilvin; Tzeremes, Panayiotis; Dogan, Eyup; Madaleno, Mara
    Although a few studies have analyzed the nexus of renewable energy and green finance the literature lacks the use of renewable energy by sources. The other major failure is that it uses only annual and small data. Therefore this study investigates the connectedness and spillovers relationship between green finance and five types of renewable energy (biofuels fuel cell geothermal solar and wind) by applying the novel TVP-VAR method of Balcilar et al. [1] to the daily indexes from July 31 2014 to Feb 4 2022. The results show that dynamic connectedness both total and pairwise is heterogeneous over time and influenced by economic events. Furthermore wind is found to be the largest transmitter of shocks to green finance followed by biofuels while both fuel cell and geothermal receive the least shocks. The findings suggest that green finance is mostly a net receiver of shocks from renewable energy sources and that wind has been a net receiver of shocks during the COVID-19 pandemic. A high interconnectedness between the indexes highlights the safe-haven property for diversification purposes of green finance. Our results are important for energy policymakers those responsible for the implementation of environmental policies individual investors and portfolio managers while also shedding light on the achievement of COP26 goals.
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    Citation - WoS: 8
    Citation - Scopus: 13
    Oil rents and non-oil economic growth in CIS oil exporters. The role of financial development
    (Elsevier Ltd, 2023) Fakhri J. Hasanov; Ruslan Allahverdi Aliyev; Dilvin Taşkın; Elchin Suleymanov; Taskin, Dilvin; Hasanov, Fakhri J.; Aliyev, Ruslan; Suleymanov, Elchin
    The role of financial development is vital in long-run economic growth. Due to the windfall revenues it might have extra relevance in natural resource-rich developing economies. This study explores whether financial development measured in the percentage share of the bank loans to the private sector in GDP can facilitate the impact of oil rents on the development of the non-oil sector in Commonwealth of Independent States oil exporters: Azerbaijan Kazakhstan and Russia in the long run. It develops a combined framework where financial development acts as both a threshold variable and an interaction term for the impact of oil rents on non-oil GDP. We find a threshold effect of oil rents for the non-oil sector in Azerbaijan and Kazakhstan. It shows that the same magnitude of oil rents can create more non-oil growth if financial development exceeds 9.6% and 15.5% in Azerbaijan and Kazakhstan respectively. For Russia neither threshold nor interaction effects were found – oil rents have a linearly positive impact on non-oil economic development. Moreover we find that institutional quality fosters non-oil development in Azerbaijan. It also positively affects non-oil development in Kazakhstan and Russia albeit statistically insignificant. In the design of policies authorities may wish to implement measures that would lead to the further development of the financial sector and institutional quality to make oil rents more beneficial for the development of the non-oil sector. © 2023 Elsevier B.V. All rights reserved.
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    Article
    Citation - WoS: 73
    Citation - Scopus: 76
    Production-based and consumption-based approaches for the energy-growth-environment nexus: Evidence from Asian countries
    (ELSEVIER, 2020) Sweety Pandey; Eyup Dogan; Dilvin Taskin; Taskin, Dilvin; Dogan, Eyup; Pandey, Sweety
    The number of studies that highlight demand-side and supply-side of environmental degradation are quite limited in the literature. The aim of this study is to analyze the energy-growth-environment nexus in cooperation with globalization urbanization life expectancy and biocapacity as control variables by using both consumption-based and production-based approaches in an Environmental Kuznets Curve (EKC) framework for Asian countries over the years of 1971-2014. The empirical results show that globalization improves environmental quality while urbanization life expectancy biocapacity and energy consumption increase environmental degradation. While the EKC hypothesis is validated for supply-side analysis it is not validated for demand-side analysis for the panel of Asian countries. The governments should take initiatives to invest in research and development for the usage promotion development and adoption of clean energies. The policymakers should emphasize on the development of urban planning strategies of Asian countries to overcome the negative effects of urbanization on the environment. Further implications are discussed in the study. (C) 2020 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
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    Article
    Citation - WoS: 11
    Citation - Scopus: 10
    Quantile-on-quantile connectedness of uncertainty with fossil and green energy markets
    (Elsevier Ltd, 2025) Pinar Evrim-Mandaci; Efe Caglar Cagli; Dilvin Taşkın; Birce Tedik Kocakaya; Taskin, Dilvin; Kocakaya, Birce Tedik; Tedik Kocakaya, Birce; Mandaci, Pinar Evrim; Cagli, Efe C.; Evrim Mandaci, Pınar
    This study explores links between uncertainty metrics and fossil and green energy sectors applying an innovative quantile-on-quantile connectedness method to analyze spillovers across quantiles from August 2004 to December 2023. Our sample comprises the clean and fossil energy market indices and key uncertainty measures including climate economic geopolitical and infectious diseases uncertainty indices. All total connectedness indices were found to peak at extremely reversely related quantiles except for climate policy uncertainty. The strongest connectedness is between high economic policy uncertainty and low clean energy returns. The economic policy uncertainty index was dynamically reversely related to energy markets in all quantiles. However after 2016 the connectedness between climate policy uncertainty and energy market indices converted to positive possibly due to the impact of the Paris Agreement. Compared to climate-related uncertainty geopolitical and economic uncertainties have a notably more substantial influence on energy markets particularly in the green energy sector. Other findings reveal that energy market performance significantly influences climate policy uncertainty and that infectious disease uncertainty is transmitted across various quantiles. Given the findings we propose policy implications for investors and policymakers emphasizing the critical need for considering different quantiles in measuring the dynamic connectedness between various uncertainties and energy markets. © 2025 Elsevier B.V. All rights reserved.
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