WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/394
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Article Citation - WoS: 194Citation - Scopus: 217The Impact of Renewable Energy Consumption to Economic Growth: A Replication and Extension of Inglesi-Lotz (2016)(Elsevier, 2020-08) Dogan, Eyup; Altinoz, Buket; Madaleno, Mara; Taskin, DilvinThis study replicates and extends the results presented in a top-cited article in this journal, Inglesi-Lotz (2016), which analyzes the impact of renewable energy consumption to economic growth for the OECD countries by applying the ordinary least squares with fixed effect estimator on the data from 1990 to 2010. By using the same data and methods, this study first produces and compare empirical results with those reported in the original article. Then, it applies a set of new econometric methods on the same data to address heterogeneity in renewable energy and economic growth across the analyzed group of countries. The panel quantile regression estimation shows that the effect of renewable energy consumption on economic growth is positive for lower and lowmiddle quantiles; however, its effect becomes negative for middle, high-middle, and higher quantiles when renewable energy consumption is proxied by the absolute value. Furthermore, a negative impact of renewable energy on economic growth is observed in almost all quantiles when it is proxied by the share of renewable energy consumption to total energy consumption. These results greatly differ from those of the original study (C) 2020 Elsevier B.V. All rights reserved.Correction Race and Energy Poverty: Evidence From African-American Households(Elsevier, 2025-08) Dogan, Eyup; Madaleno, Mara; Inglesi-Lotz, Roula; Taskin, DilvinArticle Citation - WoS: 68Citation - Scopus: 70Race and Energy Poverty: Evidence From African-American Households(Elsevier, 2022-04) Dogan, Eyup; Madaleno, Mara; Inglesi-Lotz, Roula; Taskin, DilvinEven though energy poverty has been widely discussed in many countries, only a few studies attempt to understand the nexus of race and energy poverty. To fill the gap in the literature, this study analyses the effect of race on energy poverty by employing the U.S. representative household panel data with 9043 complete surveys. This research addresses possible endogeneity issues by employing the novel method proposed by Oster (2019) as a robustness check in addition to the application of logistic regressions and ordinary least squares estimates. The empirical results show that the probability of exposure to poverty is higher for African-American households. The empirical outcome also presents that health and income are significant factors through which race influences energy poverty. This study suggests that subsidy programs would be beneficial in ensuring the breakage of the link between race and energy poverty by providing preferential discounted rates and easier access to energy to specific demographics of the population. At least ending with the housing segregation of African-Americans in the USA would be a way to surpass these difficulties and decrease energy poverty. Further discussions are presented in this study.Article Citation - WoS: 318Citation - Scopus: 359A Step Forward on Sustainability: The Nexus of Environmental Responsibility, Green Technology, Clean Energy and Green Finance(Elsevier, 2022-05) Madaleno, Mara; Dogan, Eyup; Taskin, DilvinThe 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.Article Citation - WoS: 191Citation - Scopus: 206Which Households Are More Energy Vulnerable? Energy Poverty and Financial Inclusion in Turkey(Elsevier, 2021) Dogan, Eyup; Madaleno, Mara; Taskin, DilvinThis 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.