The influence of biomass energy consumption on CO2 emissions: a wavelet coherence approach
| Autor: | Yalçın Pamuk, Emrah Koçak, H. Hilal Bağlıtaş, Umit Bulut, Erhan Muğaloğlu, Ilhan Ozturk, Faik Bilgili |
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| Přispěvatelé: | Kırşehir Ahi Evran Üniversitesi, Mucur Meslek Yüksekokulu, Finans-Bankacılık ve Siğortacılık Bölümü, Meslek Yüksekokulu, Bilgili, Faik -- 0000-0003-4138-6897, Ozturk, Ilhan -- 0000-0002-6521-0901, mugaloglu, erhan -- 0000-0001-5362-6259 |
| Rok vydání: | 2016 |
| Předmět: |
Signal processing
Fossil Fuels Engineering Natural resource economics 020209 energy Health Toxicology and Mutagenesis Wavelet Analysis Biomass 02 engineering and technology CO2 emissions Global Warming Fossil energy 0202 electrical engineering electronic engineering information engineering Environmental Chemistry Renewable Energy Consumption (economics) Wavelet coherence business.industry Global warming Fossil fuel Environmental engineering Environmental impact of the energy industry Biomass energy General Medicine Energy consumption Carbon Dioxide Pollution Renewable energy Alternative energy business |
| Zdroj: | Environmental Science and Pollution Research. 23:19043-19061 |
| ISSN: | 1614-7499 0944-1344 |
| DOI: | 10.1007/s11356-016-7094-2 |
| Popis: | WOS: 000384555200008 PubMed: 27335019 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. |
| Databáze: | OpenAIRE |
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