An analysis of the effect of carbon emission, GDP and international crude oil prices based on synthesis integration model
International Journal of Energy Sector Management
ISSN: 1750-6220
Article publication date: 6 September 2018
Issue publication date: 23 October 2018
Abstract
Purpose
This paper aims to analyze the impact of the relations between the US oil prices, carbon emissions and GDP through the analysis of data between 1987 and 2017.
Design/methodology/approach
ARIMA, VAR and VEC models are used to establish synthesis integration model. Furthermore, the stability test, cointegration test and Granger causality test of the model were carried out.
Findings
The results indicate that, in both short and long term, change in oil prices is the reason for change in carbon emissions, while GDP is not the reason for the growth of carbon emissions.
Originality/value
Increase of oil prices would have a negative impact on carbon emissions, and GDP growth does not lead to an increase in carbon emissions.
Keywords
Acknowledgements
The project was supported by the Natural science research project for Higher Education of Jiangsu (18KJB480001), Brand Professional Building in Jiangsu Higher Education Institutions (PPZY2015A090), The plan (Social Development) project in Zhenjiang City (No.SH2015018), University Natural Science Basic Research Project of Jiangsu Province (No.13KJB520004), primary energy consumption data of the USA come from: www.eia.gov/totalenergy/data/annual/ and international crude oil prices data come from: www.eia.gov/petroleum/data.php#prices.
Citation
Zou, X. (2018), "An analysis of the effect of carbon emission, GDP and international crude oil prices based on synthesis integration model", International Journal of Energy Sector Management, Vol. 12 No. 4, pp. 641-655. https://doi.org/10.1108/IJESM-10-2017-0013
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited