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The influence of biomass energy consumption on CO2 emissions a wavelet coherence approach         
Yazarlar
Faik Bilgili
Erciyes Üniversitesi, Türkiye
İlhan Öztürk
Çağ Üniversitesi, Türkiye
Emrah Koçak
Ahi Evran Üniversitesi, Türkiye
Prof. Dr. Ümit BULUT Prof. Dr. Ümit BULUT
Ahi Evran Üniversitesi, Türkiye
Yalçın Pamuk
Erhan Muğaloğlu
Abdullah Gül Üniversitesi, Türkiye
Hayriye Hilal Bağlıtaş
Erciyes Üniversitesi, Türkiye
Özet
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.
Anahtar Kelimeler
Biomass energy | CO emissions 2 | Energy consumption | Fossil energy | Signal processing | Wavelet coherence
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Dergi ISSN 0944-1344
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q2
Makale Dili İngilizce
Basım Tarihi 10-2016
Cilt No 23
Sayı 19
Sayfalar 19043 / 19061
Doi Numarası 10.1007/s11356-016-7094-2
Makale Linki http://link.springer.com/10.1007/s11356-016-7094-2