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Analysis and forecast of the Tianjin industrial carbon dioxide emissions resulted from energy consumption.
- Source :
-
International Journal of Sustainable Energy . Jul2017, Vol. 36 Issue 7, p637-653. 17p. - Publication Year :
- 2017
-
Abstract
- This paper analyses the carbon dioxide emissions caused by industrial energy consumption of Tianjin from 2005 to 2012. The carbon emissions decomposition illustrated that the scale of production factor played a major role in the growth of Tianjin industrial carbon emissions and the average contribution of carbon emissions is up to 220.8975% in the statistical period; the intensity of energy factor played an important role in slowing down the growth of industrial carbon dioxide emissions. The average contribution of carbon emissions was −136.1994% in the statistical period. The prediction model based on carbon emissions data from industrial energy consumption from 2003 to 2012 reached a high accuracy, with an average error of 1.78% for stochastic impacts by regression on population, affluence, and technology (STIRPAT) model, 2.41% for the Logistic regression model and an average error of 1.54% for the grey model. This research can contribute to predict the carbon emission and through it some suggestions can be made. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 14786451
- Volume :
- 36
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- International Journal of Sustainable Energy
- Publication Type :
- Academic Journal
- Accession number :
- 122278468
- Full Text :
- https://doi.org/10.1080/14786451.2015.1077841