Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395

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Subject: search.filters.subject.Panel Quantile RegressionWoS Q: search.filters.wosQuartile.N/A

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  • Article
    Citation - WoS: 86
    Citation - Scopus: 101
    The Analysis of 'Financial Resource Curse' Hypothesis for Developed Countries: Evidence from Asymmetric Effects With Quantile Regression
    (Elsevier Sci Ltd, 2020-10) Dogan, Eyup; Altinoz, Buket; Tzeremes, Panayiotis
    A vast body of literature either proxies natural resource abundance with total rents or focuses on the natural resource curse hypothesis. Furthermore, most empirical studies in the literature use traditional estimation methods. To fill the mentioned gaps, this study investigates the financial resource curse hypothesis by using the linkage between financial development and four natural resource rents (oil rents, coal rents, forest rents and natural gas rents) and applying the panel quantile regression with fixed effects on a dataset for a group of developed countries. This study finds that oil rents, coal rents, forest rents and natural gas rents have a positive effect on financial development, which supports financial resource blessing against financial resource curse for developed countries. In addition, a robust examination is conducted by applying the Canay two-step framework. The outcomes verify the main findings although the incremental effect on financial development of forest rents is greater than the other three proxies. This situation can be described as critical for the sustainability of developments related to natural resource rents in financial development and new set of suggestions can be made for policymakers.
  • Article
    Citation - WoS: 89
    Citation - Scopus: 94
    A Way Forward in Reducing Carbon Emissions in Environmentally Friendly Countries: The Role of Green Growth and Environmental Taxes
    (Routledge Journals, Taylor & Francis Ltd, 2022-02-21) Dogan, Eyup; Hodzic, Sabina; Sikic, Tanja Fatur
    Given recent environmental reforms and the focus on the problem of climate change, it is necessary to evaluate whether green growth and environmental taxes can reduce CO2 emissions for countries. Even though a number of studies have analysed the ways to reduce environmental pollution, the literature lacks enough evidence for the role of green growth and environmental taxes in determining the level of carbon emissions. Therefore, the objective of the empirical analysis is to estimate the impacts on CO2 emissions of green growth and environmental taxes by including sustainable indicators for a group of 25 environmentally friendly countries from 1994 to 2018 by applying advanced panel data analysis models. By applying the novel quantile regressions on the largest amount of available data from 1994 to 2018, this article shows that the coefficients of green growth, environmental taxes, renewable energy and energy efficiency are negative at lower, medium and higher quantiles. According to the results of the quantile regression, environmental taxes, renewable energy and energy efficiency are key factors in decreasing CO2 emissions. Overall, renewable energy should be given greater priority through research supports, subsidies and government incentives while environmental taxes should be more implemented to discourage activities that promote pollution.