Taşkin Yeşilova, Fatma Dilvin
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01.01.06.04. Uluslararası Ticaret ve Finansman Bölümü
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Sustainable Development Goals
1NO POVERTY
5
Research Products
2ZERO HUNGER
2
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3GOOD HEALTH AND WELL-BEING
0
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4QUALITY EDUCATION
0
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5GENDER EQUALITY
0
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6CLEAN WATER AND SANITATION
0
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7AFFORDABLE AND CLEAN ENERGY
20
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8DECENT WORK AND ECONOMIC GROWTH
23
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9INDUSTRY, INNOVATION AND INFRASTRUCTURE
3
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10REDUCED INEQUALITIES
5
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11SUSTAINABLE CITIES AND COMMUNITIES
4
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12RESPONSIBLE CONSUMPTION AND PRODUCTION
5
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13CLIMATE ACTION
17
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14LIFE BELOW WATER
4
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15LIFE ON LAND
2
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16PEACE, JUSTICE AND STRONG INSTITUTIONS
1
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17PARTNERSHIPS FOR THE GOALS
15
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Documents
59
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2537
h-index
24
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1
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5
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57
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51
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WoS Citation Count
2243
Scopus Citation Count
2529
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0
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0
WoS Citations per Publication
39.35
Scopus Citations per Publication
44.37
Open Access Source
14
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| Journal | Count |
|---|---|
| Energy Economics | 6 |
| Journal of Environmental Management | 5 |
| Resources Policy | 5 |
| Renewable Energy | 3 |
| Energy & Environment | 3 |
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57 results
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Article Citation - WoS: 5Citation - Scopus: 5Effect of energy transition R&D investments in energy income and energy use on the environment: Evidence from advanced countries by KRLS method(Elsevier Ltd, 2025) Mustafa Tevfik Kartal; Dilvin Taşkın; Mubariz Mammadli; Cosimo Magazzino; Taşkın, Dilvin; Magazzino, Cosimo; Mammadli, Mübariz; Kartal, Mustafa TevfikCountries have been concerned about the energy transition and related research and development (R&D) investments in energy to combat environmental degradation due to their beneficial effects on energy use as a critical factor in environmental change. Accordingly the study uncovers the marginal effects of the energy transition renewable and nuclear energy R&D investments income and energy use on carbon dioxide emissions (ecological footprint for robustness) in six advanced countries by using data from 2000 to 2022 and performing the Kernel-based Least Squares method which provides marginal effect across percentiles. The results show that energy transition only develops the environment in France. Moreover R&D investments in renewable (nuclear) energy are beneficial for the environment in France and the UK (the US and the UK). Moreover income is helpful in most countries except Japan and the UK. On the other hand energy use is harmful in all countries. Thus the results present the beneficial effect of R&D investments in energy and the less helpful effect of the energy transition. Thus France the UK and the US have a better position to benefit from the energy transition and energy-related R&D investments. © 2025 Elsevier B.V. All rights reserved.Article Citation - WoS: 14Citation - Scopus: 20Role of ethnic conflicts regularization and natural resource abundance in sustainable development(Elsevier Ltd, 2023) Muhammad Azam; Ahmed Imran Hunjra; Dilvin Taşkın; Mamdouh Abdulaziz Saleh Al-Faryan; Taskin, Dilvin; Hunjra, Ahmed Imran; Al-Faryan, Mamdouh Abdulaziz Saleh; Azam, MuhammadThis study sheds light on the critical role of natural resources ethnic conflicts and institutional factors in promoting sustainable development in developing countries and has significant implications for resource policy. It employs both static and dynamic panel data approaches to analyze a unique dataset of 55 developing economies from 1991 to 2021. The results indicate that natural resource abundance per capita including oil per capita coal per capita and forests as well as ethnic conflicts and institutional regulations significantly impact sustainable development. Moreover the study reveals that ethnic conflicts and regulations positively moderate the impact of natural resource abundance on sustainable development. The research also demonstrates that different factors have distinct effects at various quantiles using the bootstrap method. These findings have significant implications for resource policy emphasizing the need for policymakers to address ethnic conflicts and implement regulatory measures for natural resource markets to foster sustainable development policies in developing nations. © 2023 Elsevier B.V. All rights reserved.Article Citation - WoS: 8Citation - Scopus: 11Do 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 CaglarGiven 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.Book Part Citation - Scopus: 1From Conventional Methods to Contemporary Neural Network Approaches: Financial Fraud Detection(Springer Nature, 2021) Mustafa Reha Okur; Yasemin Zengin Karaibrahimoglu; Dilvin Taşkın; Zengin-Karaibrahimoglu, Yasemin; Taşkın, Dilvin; Okur, Mustafa RehaThis chapter provides insights on the underlying reasons to replace the conventional methods with contemporary approaches—the neural network-based machine learning methods—in financial fraud detection. To do this we perform a systematic literature review on the evolution of financial fraud detection literature over the years from traditional techniques toward more advanced approaches such as modern machine learning methods like artificial neural networks. Additionally this chapter provides concise chronological progress of the fraud literature and country-specific fraud-related regulations to draw a better framework and give the idea behind the corpus. Using the metadata in the existing literature we show both benefits and costs of using machine learning-based methods in financial fraud detection. An accurate prediction using contemporary approaches is essential to minimize the potential costs of fraudulent financial activities for stakeholders reduce the adverse effects of fraudsters’ and companies’ fraudulent activities and increase trust in capital markets via continuous fraud risk assessment of companies. © 2021 Elsevier B.V. All rights reserved.Article Citation - WoS: 37Citation - Scopus: 47Financial inclusion and poverty: evidence from Turkish household survey data(Routledge, 2022) Eyup Dogan; M. Teresa Madaleno; Dilvin Taşkın; Taskin, Dilvin; Dogan, Eyup; Madaleno, MaraEven 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.Article Citation - WoS: 74Citation - Scopus: 76The impact of geopolitical risk- institutional governance and green finance on attaining net-zero carbon emission(ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 2024) Ahmed Imran Hunjra; Muhammad Azam; Peter Verhoeven; Dilvin Taskin; Jiapeng Dai; Verhoeven, Peter; Taskin, Dilvin; Hunjra, Ahmed Imran; Azam, Muhammad; Dai, JiapengThis research investigates the impact of geopolitical risk institutional governance and green finance on environmental outcomes specifically focusing on carbon emissions and ecological footprint. Utilizing the dynamic CS-ARDL method and aggregated mean group analysis on a panel dataset covering 21 nations from 2000 to 2021 our findings reveal that heightened geopolitical risk leads to both short and long run increases in carbon emissions and the ecological footprint. Our study finds both a direct as well as indirect connection between governance green finance and environmental outcomes in both the short and long run highlighting the nuanced impact of governance on the formulation of environmental policies and regulatory frameworks. The results emphasize the need for targeted strategies including focused investments and incentives for sustainable finance particularly in conflict-affected regions. Furthermore our research underscores the enduring impact of historical events such as wars on contemporary environmental indicators emphasizing the importance of proactive conflict prevention measures. Our research suggests that policymakers should adopt comprehensive strategies that prioritize emission reduction during short-run spikes in geopolitical risk while maintaining a steadfast commitment to long-run sustainability.Article Citation - WoS: 4Citation - Scopus: 4Relationship between monetary policy and financial asset returns in Türkiye: Time- frequency- and quantile-based effects(ELSEVIER, 2024) Tevfik Kartal; Ugur Korkut Pata; Dilvin Taskin; Talat Ulussever; Taskin, Dilvin; Pata, Ugur Korkut; Ulussever, Talat; Kartal, Mustafa TevfikThis study analyzes the effect of monetary policy which are proxied by weighted average cost of funding (WACF) and Borsa Istanbul repurchase interest rate (REPO) on the returns of the main financial assets of monetary policy in T & uuml,rkiye. Using daily data between January 4 2011 and August 31 2023 the study applies novel nonlinear time-series methods such as wavelet coherence (WC) and quantile-on-quantile regression (QQ) as baseline methods and quantile regression (QR) for robustness. The findings demonstrate that (i) monetary policy has a stronger effect on financial asset returns at middle and higher frequencies across different periods, (ii) monetary policy has mainly declines (increases) effect on financial asset returns at lower and middle (higher) quantiles, (iii) the robustness of the outcomes is confirmed. Thus the outcomes show that monetary policy has a significant effect on financial asset returns and the effects vary across times across frequencies quantiles and financial assets.Article Citation - Scopus: 1Impact of disaggregated level clean electricity on CO2 emissions: Evidence from EU-5 countries by bivariate and multivariate QQ approaches(SAGE PUBLICATIONS LTD, 2024) Tevfik Kartal; Ugur Korkut Pata; Dilvin Taskin; Shahriyar Mukhtarov; Taşkın, Dilvin; Mukhtarov, Shahriyar; Pata, Ugur Korkut; Kartal, Mustafa TevfikConsidering the energy crisis in Europe and searching for alternatives this study investigates the impact of clean electricity generation (EG) types on the environment. So the study focuses on EU-5 countries (Germany-DEU Spain-ESP France-FRA United Kingdom-GBR and Italy-ITA) uses CO2 emissions as environmental indicator and considers clean EG types as explanatory variables by controlling geopolitical risk. Accordingly the study uses data from 2(nd) January 2019 to 29(th) February 2024 and applies bivariate and multivariate quantile-on-quantile regression (BQQ & MQQ) and Granger causality-in-quantiles (GCQ) as the fundamental approaches while quantile regression (QR) is performed for the consistency check. The outcomes reveal that (i) hydro EG increases CO2 emissions across countries excluding DEU at lower and middle quantiles, (ii) solar EG curbs CO2 emissions at middle quantiles in DEU higher quantiles in ESP and FRA and middle and higher quantiles in ITA, (iii) wind EG has an almost decreasing impact across quantiles excluding higher quantiles in DEU and FRA, (iv) clean EG types are almost causally impactful on CO2 emissions across quantiles, (v) geopolitical risk decreases the power of the impact of clean EG alternatives on CO2 emissions but does not change them in a reverse way. To sum up the impact of clean EG types on CO2 emissions in EU-5 countries varies across EG types quantiles and countries. Thus the study suggests that wind EG is highly beneficial for all EU-5 countries while there is also room for growth to benefit from hydro and solar EG for some countries.Article Citation - Scopus: 9Adaptive market hypothesis(International Strategic Management Association thalassi@unipi.gr, 2019) Pinar Evrim-Mandaci; Dilvin Taşkın; Zeliha Can Ergün; Ergün, Zeliha Can; Mandaci, Pinar Evrim; Taşkin, F. DilvinPurpose: To investigate the implications of the Addaptive Market Hypothesis (AMH) on Turkish stock exchange market (Borsa Istanbul) indices as an emerging economy. BIST-100 BIST-30 and BIST-All indices are subjected to the analyses for the period between January 2002 and April 2017. Design/Methodology/Approach: Two-year rolling windows and daily test values were calculated by using linear methods (Variance Ratio Test) and nonlinear methods (BDS test) to investigate the market efficiency. Findings: According to the Variance Ratio Test results index returns are unpredictable that is the market is efficient while the results of nonlinear analysis show the existence of adaptive market hypothesis. In particular all three indices display efficiency in the 2013-2016 period implying that returns were not predictable in this period. The results of the non-linear analysis show that the market is efficient from time to time and sometimes deviates from efficiency indicating the validity of the adaptive market hypothesis in Borsa Istanbul. Practical Implications: The changes in the market efficiency from time to time should be considered while taking important investment decisions. Moreover according to AMH since trends panics bubbles and crashes exist in the market arbitrage opportunities arise time to time and market timing is an important issue to catch the profit opportunities. Therefore as a further study matching the important events with the efficiency of the market could provide more insights about timing the market. Originality/Value: To the best of authors' knowledge this is the first comprehensive study that examines the index based AMH in Borsa Istanbul. This study is believed to contribute to the literature by giving insights about the evolution of market efficiency in Turkey. © 2020 Elsevier B.V. All rights reserved.Article Citation - WoS: 42Citation - Scopus: 42Role of energy transition in easing energy security risk and decreasing CO2 emissions: Disaggregated level evidence from the USA by quantile-based models(Academic Press, 2024) Mustafa Tevfik Kartal; Dilvin Taşkın; Muhammad Shahbaz; Dervis Kirikkaleli; Serpil Kılıç Depren; Taşkın, Dilvin; Kirikkaleli, Derviş; Kılıç Depren, Serpil; Shahbaz, Muhammad; Depren, Serpil Kilic; Kartal, Mustafa TevfikConsistent with the increasing environmental interest the clean energy transition is highly critical to achieving decarbonization targets. Also energy security has become an important topic under the shadow of the energy crisis. Accordingly countries have been trying to stimulate clean energy use to preserve the environment and ensure energy security. So considering the leading role of economic size and volume of energy use the study examines the USA to define whether energy transition helps decrease energy security risk (ESR) and curb CO2 emissions. So the study applies a disaggregated level analysis by performing quantile-based models for the period from 2001/Q1 through 2022/Q4. The results demonstrate that (i) the energy transition index decreases environmental ESR at higher quantiles and reliability ESR at lower and middle quantiles whereas it is not beneficial in declining economic and geopolitical ESR, (ii) energy transition curbs CO2 emissions in building and transport sectors at lower quantiles whereas it does not help decrease CO2 emissions in industrial and power sectors, (iii) energy transition is mostly ineffective on ESR whereas it is highly effective in curbing CO2 emissions in all sectors except for transport across various quantiles as time passes, (iv) the results differ according to the aggregated and disaggregated levels, (v) the results are consistent across main and alternative models. Hence the study highlights the dominant effect of energy transition in curbing sectoral CO2 emissions rather than easing ESR. Accordingly the study discusses various policy implications for the USA. © 2024 Elsevier B.V. All rights reserved.
