Comparison of the Fossil and Renewable Energies Impacts on Carbon Dioxide Emissions in OPEC and Asian Countries without Oil Reserves

Document Type : Original Article

Authors

Shiraz University

Abstract

 
In this study, the effect of fossil and renewable energies on environmental quality were evaluated and compared in two statistical societies (i.e. OPEC and Asian countries without oil reserves) in 1995-2013. According to stationary properties of the variables, the panel cointegration approach was applied to the data. Also, based on the results of Pedroni and Kao cointegration tests, the short-run and long-run relationships were estimated by Error Correction Model (ECM) and Fully Modified Ordinary Least Square (FMOLS), respectively. The results showed that the fossil energy consumption in OPEC countries plays a much higher role in increasing the spread of pollution than in the Asian countries without oil reserves. Conversely, renewable energy use in countries without oil reserves has a greater impact on reducing pollution and improving environment quality than in the OPEC. Also, the results showed that in both statistical societies, an N-shaped relationship exists between per capita gross domestic product and per capita emissions. With the difference that the emission of pollution in OPEC countries decreases with economic growth and in the interval of per capita income. But in countries without oil reserves, pollution emissions are steadily increasing with increasing per capita income and there is no reduction in pollution at any time.

Keywords


Abrigo, M. R. & Love, I. 2015. Estimation of panel vector autoregression in Stata: A package of programs. manuscript, Febr 2015 available on http://paneldataconference2015. ceu. hu/Program/Michael-Abrigo. pdf.
Ahmad, A.; Zhao, Y.; Shahbaz, M.; Bano, S.; Zhang, Z.; Wang, S. & Liu, Y. 2016. Carbon emissions, energy consumption and economic growth: An aggregate and disaggregate analysis of the Indian economy. Energy Policy, 96, 131-143.
Al-Mulali, U. & Özturk, I. 2015. The effect of energy consumption, urbanization, trade openness, industrial output, and the political stability on the environmental degradation in the MENA (Middle East and North African) region. Energy, 84, 382-389.
Apergis, N. & Payne, J. E. 2010. Renewable energy consumption and growth in Eurasia. Energy Economics, 32(6), 1392-1397.
Bacon, R. W.; Bhattacharya, S.; Damania, R.; Kojima, M. & Lvovsky, K. 2007. Growth and CO2 emissions: how do different countries fare. Environment Department Papers, 113.
Baek, J. & Kim, H. S. 2013. Is economic growth good or bad for the environment? Empirical Evidence from Korea. Energy Economics, 36, 744-749.
Baltagi, B. 2008. Econometric analysis of panel data (Vol. 1). John Wiley ; Sons.
Bilgili, F.; Koçak, E. & Bulut, Ü. 2016. The dynamic impact of renewable energy consumption on CO2 emissions: a revisited Environmental Kuznets Curve approach. Renewable and Sustainable Energy Reviews, 54, 838-845.
Bölük, G. & Mert, M. 2014. Fossil & renewable energy consumption, GHGs (greenhouse gases) and economic growth: Evidence from a panel of EU (European Union) countries. Energy, 74, 439-446.
Dinda, S. 2004. Environmental Kuznets Curve Hypothesis: a survey. Ecological Economics, 49(4), 431-455.
Farhani, S.; Shahbaz, M. & Arouri, M. E. H. 2013. Panel analysis of CO2 emissions, GDP, energy consumption, trade openness and urbanization for MENA countries. University Library of Munich, Germany.
Fetros, M. H.; Aghazadeh, A. & Gebraeeli, S. 2012. The Impact of Renewable and Non-Renewable Energy Consumption on Economic Growth in Selected Developing Countries (including Iran). Energy Economics Studies, 9(32), 51-72. (In Persian).
Gujarati, D. 2004. Essentials of Econometrics. Volume 2. Translated by Dr. Hamid Abrishami. Tehran: Tehran University Press. (In Persian).
Halicioglu, F. 2009. An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey. Energy Policy, 37(3), 1156-1164.
Im, K. S.; Pesaran, M. H. & Shin, Y. 2003. Testing for unit roots in heterogeneous panels. Journal of econometrics, 115(1): 53-74.
Kao, C. 1999. Spurious regression and residual-based tests for cointegration in panel data. Journal of econometrics, 90(1): 1-44.
Kasman, A. & Duman, Y. S. 2015. CO2 emissions, economic growth, energy consumption, trade and urbanization in new EU member and candidate countries: a panel data analysis. Economic Modelling, 44, 97-103.
Levin, A.; Lin, C. F. & Chu, C. S. J. 2002. Unit root tests in panel data: asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1-24.
Lopez- Menendez, A. J.; Perez, R. & Moreno, B. 2014. Environmental costs and renewable energy: Re-visiting the Environmental Kuznets Curve. Journal of Environmental Management, 145, 368-373.
Love, I. & Zicchino, L. 2006. Financial development and dynamic investment behavior: Evidence from panel VAR. The Quarterly Review of Economics and Finance, 46(2), 190-210.
Magazzino, C. 2016. CO2 emissions, economic growth, and energy use in the Middle East countries: A panel VAR approach. Energy Sources, Part B: Economics, Planning, and Policy, 11(10), 960-968.
Mert, M. & Bölük, G. 2016. Do foreign direct investment and renewable energy consumption affect the CO2 emissions? New evidence from a panel ARDL approach to Kyoto Annex countries. Environmental Science and Pollution Research, 23(21), 21669-21681.
Ostadzadeh, A. H. & Bohlooli, P. 2015. Effect of Renewable Energy on Environmental Kuznets Curve in Iran, Applied Economics, 2(2), 127-154. (In Persian).
Pedroni, P. 2000. Fully Modified OLS for heterogeneous cointegrated panels.
Pedroni, P. 2004. Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis.Econometric theory, 20(03): 597-625.
Pfeiffer, B. & Mulder, P. 2013. Explaining the diffusion of renewable energy technology in developing countries. Energy Economics, 40, 285-296.
Saboori, B.; Rasoulinezhad, E. & Sung, J. 2017. The nexus of oil consumption, CO2 emissions and economic growth in China, Japan and South Korea. Environmental Science and Pollution Research, 1-20.
Shahbaz, M.; Farhani, S. & Ozturk, I. 2013. Coal Consumption, Industrial Production and CO2 Emissions in China and India. University Library of Munich, Germany.
Shahbaz, M.; Lean, H. H. & Shabbir, M. S. 2012. Environmental Kuznets curve hypothesis in Pakistan: cointegration and Granger causality. Renewable and Sustainable Energy Reviews, 16(5), 2947-2953.
Shahbaz, M.; Loganathan, N.; Muzaffar, A. T.; Ahmed, K. & Jabran, M. A. 2016. How urbanization affects CO2 emissions in Malaysia? The application of STIRPAT model. Renewable and Sustainable Energy Reviews, 57, 83-93.
Shahbaz, M.; Sbia, R.; Hamdi, H. & Özturk, I. 2014. Economic growth, electricity consumption, urbanization and environmental degradation relationship in United Arab Emirates. Ecological Indicators, 45, 622-631.
Sheinbaum, C.; Ruíz, B. J. & Ozawa, L. 2011. Energy consumption and related CO2 emissions in five Latin American countries: changes from 1990 to 2006 and perspectives. Energy, 36(6), 3629-3638.
Stock, J. H. & Watson, M. W. 1993. A simple estimator of cointegrating vectors in higher order integrated systems. Econometrica: Journal of the Econometric Society, 783-820.
Sulaiman, J.; Azman, A. & Saboori, B. 2013. The potential of renewable energy: using the environmental Kuznets curve model. American Journal of Environmental Sciences, 9(2), 103.
Tiwari, A. K. 2011. A structural VAR analysis of renewable energy consumption, real GDP and CO2 emissions: evidence from India. Economics Bulletin, 31(2), 1793-1806.
WDI (World Development Indicators).  2016. Retrieved January 7, 2016, from http://www.worldbank.org/
Zoundi, Z. 2017. CO2 emissions, renewable energy and the Environmental Kuznets Curve, a panel cointegration approach. Renewable and Sustainable Energy Reviews, 72, 1067-1075.