Adverse effects of the automotive industry on carbon dioxide emissions
Abstract
This study aims to determine the effects of the automotive industry on carbon dioxide emissions for the period from 1997 to 2010 for diverse economies, as well as the relationships between carbon dioxide discharges and output. The study applies cointegration and causality tests to validate these associations. The results of the Johansen cointegration test depict long-run associations between the quantity of passenger cars and carbon dioxide emissions in France, Sweden, Spain, Hungary and Japan. In addition, significant relations were observed between output and carbon dioxide discharges in Spain, Canada, India and Japan. Changes in output had substantial impact on emissions in Germany, Canada and India. The results also show that the number of passenger cars influences the magnitude of emissions in multiple economies. In conclusion, the automotive industry has to be considered in policies that aim to reduce carbon dioxide emissions.
References
Alshehry, A.S., & Belloumi, M. (2015). Energy consumption, carbon dioxide emissions and economic growth: The case of Saudi Arabia. Renewable and Sustainable Energy Reviews, 41, 237-247. doi:10.1016/j.rser.2014.08.004.
Deng, W., Chen, D.C., Huang, M., Hu, J., & Chen, L. (2015). Carbon dioxide deliming in leather production: A literature review. Journal of Cleaner Production, 87, 26-38.
Engle, R.F., & Granger, C.W.J. (1987). Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55(2), 251-276. doi:10.2307/1913236.
Granger, C.W.J., Huang, B.N., & Yang, C.W. (2000). A bivariate causality between stock prices and exchange rates: evidence from recent Asian flu. The Quarterly Review of Economics and Finance, 40, 337-354.
Granger, C.J. (1981). Some properties of time series data and their use in econometric model specification. Journal of Econometrics, 55, 251-276. doi:10.1016/0304-4076(81)90079-8.
Granger, C.W.J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. doi:10.2307/1912791.
Granger, C.W.J., & Weiss, A.A. (1983). Time series analysis of error correction models. In S. Karlim, T. Amemiya, & L.A. Goodman (Eds.), Studies in Economic Time Series and Multivariate Statistics. New York: Academic Press. doi:10.1016/b978-0-12-398750-1.50018-8.
Gregg, J.S., Andre, R.J., & Marland, G. (2008). China: Emissions pattern of the world leader in CO2 emissions from fossil fuels consumption and cement production. Geophysical Research Letters 04/2008; 35(8). doi:10.1029/2007GL032887.
Huang, G., Xialing, O., & Yao, X. (2015). Dynamics of China’s regional carbon emission under gradient economic development trade. Ecological Indicators, 51, 197-204.
Jafari, Y., Othman, J., & Nor Abu, H.S.M. (2012). Energy consumption, economic growth and environmental pollutants in Indonesia. Journal of Policy Modeling, 34, 879-889.
Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12, 231-254. doi:10.1016/0165-1889(88)90041-3.
Lee, J.W., & Brahmasrene, T. (2013). Investigating the influence of tourism on economic growth and carbon emissions: evidence from panel analysis of the European Union. Tourism Management, 38, 69-76.
Loganathan, N., Shabaz, M., & Taha, R. (2014). The link between green taxation and economic growth on CO2 emissions: fresh evidence from Malaysia. Renewable and Sustainable Energy Review, 38, 1083-1091.
Mallory, M., & Lence, S.H. (2012). Testing for cointegration in the presence of moving average errors. Journal of Time Series Econometrics, 4, 1-66. doi:10.1515/1941-1928.1124.
Omri, A. (2013). CO2 emissions, energy consumption and economic growth in MENA countries: Evidence from simultaneous equation models. Energy Economics, 40, 657-664.
Saikkonen, P., & Lütkepohl, H. (2000). Testing for the cointegrating rank of a VAR process with an intercept. Economic Theory, 16, 373-406.
Soytas, U., & Sari, R. (2009). Energy consumption, economic growth, and carbon emissions: challenges faced by an EU candidate member. Ecological Economics, 68, 1667-1675.
Wang, C. (2013). Differential output growth across regions and carbon dioxide emissions: Evidence from U. S. and China. Energy, 53(C), 230-236.
Wang, K.M. (2012). Modelling the nonlinear relationship between CO2 emissions from oil and economic growth. Economic Modelling, 29(5), 1537-1547. doi:10.1016/j.econmod.2012.05.001.
Wang, Y., & Liang, S. (2013). Carbon dioxide mitigation target of China in 2020 and key economic sectors. Energy Policy, 58, 90-96.
Zhang, X.P., & Cheng, X.M. (2009). Energy consumption, carbon emissions and economic growth in China. Ecological Economics, 68, 2706-2712. doi:10.1016/j.ecolecon.2009.05.011.
Zhixin, Z., & Ya, L. (2011). The impact of carbon dioxide on economic growth in China. Energy Procedia, 5, 1757-1761.
