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Öğe Biomass energy and economic growth nexus in G7 countries: Evidence from dynamic panel data(PERGAMON-ELSEVIER SCIENCE LTD, 2015) Bilgili, Faik; Özturk,İllhanThe purpose of this paper is to reveal the long run dynamics of biomass energy consumption and GDP growth through homogeneous and heterogeneous variance structures for G7 countries. It covers annual data from 1980 to 2009. Panel unit root analyses, panel cointegration analyses, conventional OLS and dynamic OLS analyses are run throughout homogeneous and heterogeneous variance structures of the panel data to examine the relationship. The findings show that the long run elasticities of panel real GDP data in terms of panel capital stock, panel human capital index and panel biomass consumption are significant and positive. The results confirmed the growth hypothesis in which biomass energy consumption have positive effects on economic growth of G7 countries. As a policy implication, energy policies which improve the biomass energy infrastructure and biomass supply are the appropriate options for G7 countries since biomass energy consumption increases the economic growth.Öğe Economic growth and biomass consumption nexus: Dynamic panel analysis for sub-Sahara African countries(ELSEVIER SCI LTD, 2015) Öztürk, İlhan; Bilgili, FaikThis paper investigates the long run dynamics of economic growth and biomass consumption nexus by applying dynamic panel analyses for 51 Sub-Sahara African countries for 1980-2009 period. The results show that economic growth is affected by biomass consumption, openness and population significantly and positively in African countries. GDP elasticity with respect to biomass consumption is close to unity and the elasticities of GDP in terms of openness are found statistically significant (between 0.259 and 0.348). According to homogeneous variance structure, one percent increase in variables of biomass, openness and population will lead GDP to increase by 1.818%, 0.269% and 0.676%, respectively. However, according to estimations from heterogeneous variance structure indicate that one percent increase in biomass, openness and population variables will cause GDP to increase by 0.820%, 0.259% and 0.811%, respectively. In conclusion, this paper finds significant effect of biomass consumption on GDP in 51 Africa countries.Öğe Energy consumption-youth unemployment nexus in Europe: Evidence from panel cointegration and panel causality analyses(Econjournals, 2017) Bilgili, Faik; Öztürk, İlhan; Kocak, Emrah; Bulut, ÜmitThis paper employs a panel data set of 20 European countries and examines the impacts of energy consumption on youth unemployment over the period 1990-2011. We follow panel fully modified ordinary least squares (FMOLS) and panel dynamic ordinary least squares (DOLS) estimations, panel Granger causality tests based on vector error correction model and panel causality tests of Emirmahmutoglu and Kose (2011) and Dumitrescu and Hurlin (2012). According to the panel FMOLS and DOLS estimators results, there is negative impact of energy consumption on youth unemployment rates. In addition, the causality tests yield unidirectional causality from energy consumption to youth unemployment rates. The outcome of this paper explores the importance of energy policies to decrease youth unemployment rates and, hence, it may suggests policymakers follow relevant policies encouraging energy consumption and new potential energy investments to diminish youth unemployment rates.Öğe The influence of biomass energy consumption on CO2 emissions: a wavelet coherence approach(SPRINGER HEIDELBERG, 2016) Bilgili, Faik; Öztürk, İlhan; Koçak, Emrah; Bulut, Ümit; Pamuk, Yalçin; Mugaloglu, Erhan; Bagıitaş, Hayriye H.In terms of today, one may argue, throughout observations from energy literature papers, that (i) one of the main contributors of the global warming is carbon dioxide emissions, (ii) the fossil fuel energy usage greatly contributes to the carbon dioxide emissions, and (iii) the simulations from energy models attract the attention of policy makers to renewable energy as alternative energy source to mitigate the carbon dioxide emissions. Although there appears to be intensive renewable energy works in the related literature regarding renewables' efficiency/impact on environmental quality, a researcher might still need to follow further studies to review the significance of renewables in the environment since (i) the existing seminal papers employ time series models and/or panel data models or some other statistical observation to detect the role of renewables in the environment and (ii) existing papers consider mostly aggregated renewable energy source rather than examining the major component(s) of aggregated renewables. This paper attempted to examine clearly the impact of biomass on carbon dioxide emissions in detail through time series and frequency analyses. Hence, the paper follows wavelet coherence analyses. The data covers the US monthly observations ranging from 1984:1 to 2015 for the variables of total energy carbon dioxide emissions, biomass energy consumption, coal consumption, petroleum consumption, and natural gas consumption. The paper thus, throughout wavelet coherence and wavelet partial coherence analyses, observes frequency properties as well as time series properties of relevant variables to reveal the possible significant influence of biomass usage on the emissions in the USA in both the short-term and the long-term cycles. The paper also reveals, finally, that the biomass consumption mitigates CO2 emissions in the long run cycles after the year 2005 in the USA.Öğe The nexus between access to electricity and CO2 damage in Asian Countries: The evidence from quantile regression models(Elsevier Science Sa, 2022) Bilgili, Faik; Ozturk, Ilhan; Kocak, Emrah; Kuskaya, Sevda; Cingoz, AyseEnergy poverty and environmental degradation are two main important issues in the literature of energy and environmental degradation. Energy poverty might affect adversely the health, productivity the environment. In this study, the effects of energy access on the environment are examined. Although there exist some similar studies in the related literature, our study differently (a) uses CO2 damage data, (b) performs parameter estimations corresponding to different quantiles instead of fixed-parameter estimations. This paper hence aims at analyzing the impacts of access to electricity on CO2 damage in Asian countries through panel quantile regression estimations by employing the panel data for 36 Asian countries for the period 1997-2017. CO2 damage is the cost of damage caused by CO2 emissions stemming from fossil fuel use and the manufacture of cement. While the main interest was to investigate the influence of access to electricity on CO2 damage, the variables of renewable energy and agricultural activities were also employed as control variables in the quantile estimations. The findings reveal that (i) Environmental Kuznets Curve hypothesis holds in panel data which in turn implies that as economies develop, the CO2 damage will decrease, (ii) as access to electricity increases, the CO2 damage will decrease as well, (iii) the renewable energy use also lowers the CO2 damage and (iv) agricultural activities on the other hand increase the CO2 damage in panel data. Finally, this paper suggests that the authorities increase access to electricity to diminish indoor and outdoor pollution. (C) 2021 Elsevier B.V. All rights reserved.
