Testing for VECM Granger Causality and Cointegration Between Economic Growth and Renewable Energy: Evidence from MENA Net Energy Importing Countries
This paper employs several techniques to study the relationship between renewable energy consumption and economic growth in Net Energy Importing Countries in the Middle East and North Africa (MENA-NEICs) during the period from 2001 to 2015. Panel cointegration test shows that there is a long-term cointegration relationship between those variables. However, the Granger causality test in VECM shows that this relationship is bidirectional in the short and long term. Thus, MENA-NEICs must encourage the deployment of renewable energies to the detriment of fossil fuels. To this end, an investment incentive is suggested in this sector, which will be medium and long-term market-based. In the short term, a transitional stage of a mixed and dynamic approach consisting of a program of partial subsidies for renewable energy production and partial adjustment of fossil fuel prices that is progressively moving towards a final stage where subsidies to energy will be completely removed is suggested. In this way, these countries can make the trade-off between fiscal sustainability and political stability.
Adnan, A. (2016, April 4). Renewables use can save $750b in Mideast, Africa. The Jordan Times. Retrieved from http://www.jordantimes.com/news/business/renewables-use-can-save-750b-mideast-africa-%E2%80%94-official, (Available on October 29, 2018).
Alam, S. & Butt, M., S. (2002).Causality between energy consumption and economic growth in Pakistan: An application of co-integration and error correction modeling techniques. Pacific and Asian Journal of Energy, 12(2), 151–165.
Apergis, N. & Payne, J., E. ( 2010, c). Energy consumption and growth in South America: Evidence from a panel error correction model. Energy Economics, 32(6), 1421-1426.
Apergis, N. & Payne, J., E. (2010, a). Renewable energy consumption and economic growth: Evidence from a panel of OECD countries. Energy Policy, 38(1), 656–660.
Apergis, N. & Payne, J., E. (2010, b). Renewable energy consumption and growth in Eurasia. Energy Economics, 32(6), 1392–1397.
Costantini, V. & Martini, C. (2010). The causality between energy consumption and economic growth: A multi-sectoral analysis using non-stationary cointegrated panel data. Energy Economics, 32(3), 591–603.
Energy Information Administration (EIA). International Energy Statistics. (2016). Retrieved from https://www.eia.gov/beta/international/data/browser/#/?c=4100000002000060000000000000g000200000000000000001&vs=INTL.44-1-AFRC-QBTU.A&vo=0&v=H&end=2016, (Available on October 29, 2018).
Im, K., S., Pesaran, M., H. & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74.
International Energy Agency (IEA). World Energy Outlook. (2009). Paris, France.
Lee, C., C. & Chang, C., P. (2008). Energy consumption and economic growth in Asian economies: A more comprehensive analysis using panel data. Resource and Energy Economics, 30(1), 50–65.
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.
Li, F., Dong, S., Li, X., Liang, Q. & Yang W. (2011). Energy consumption economic growth relationship and carbon dioxide emissions in China. Energy Policy, 39(2), 568–574.
Li, J., Song H. & Geng, D. (2008). Causality relationship between coal consumption and GDP: Difference of major OECD and non-OECD countries. Applied Energy, 85(6), 421–429.
Mallick, H. (2009). Examining the Linkage between Energy Consumption and Economic Growth in India. The Journal of Developing Areas, 43(1), 249–280.
Managi, S. (2006). Are there increasing returns to pollution abatement? Empirical analytics of the Environmental Kuznets Curve in pesticides. Ecological Economics, 58(3), 617–636.
Menyah, K., Wolde-Rufael, Y. (2010). CO2 emissions, nuclear energy, renewable energy and economic growth in the US. Energy Policy, 38(6), 2911–2915.
Pedroni, P. (2000). Fully modified OLS for heterogeneous cointegrated panels. Advances in Econometrics. 15, 93–130.
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(3), 597–625.
Sadorsky, P. (2009). Renewable energy consumption, CO2 emissions and oil prices in the G7 countries. Energy Economics, 31(3), 456–462.
Stern, D., I. (2000, b). A multivariate cointegration analysis of the role of energy in the U.S. macroeconomy. Energy Economics, 22(2), 267–283.
World development indicators (WDI). 2016. Retrieved from https://data.worldbank.org/, (Available on October 29, 2018).
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