Scopus İndeksli Yayınlar Koleksiyonu

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

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Author: search.filters.author.Altinoz, BuketSubject: search.filters.subject.Panel Quantile Regression

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  • Article
    Citation - WoS: 194
    Citation - Scopus: 217
    The 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, Dilvin
    This 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.
  • 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.