Renewable and non-renewable energy consumption and economic growth: Evidence from MENA Net Oil Exporting Countries.

Kahia, Montassar and Ben Aissa, Mohamed Safouane (2014): Renewable and non-renewable energy consumption and economic growth: Evidence from MENA Net Oil Exporting Countries. Published in:

Abstract

This study investigate the relationship between renewable and non-renewable energy consumption and economic growth in a sample of 13 MENA Net Oil Exporting Countries covering the period 1980–2012 within a multivariate panel framework. The Pedroni (1999, 2004), Kao (1999) as well as the Westerlund (2007) panel cointegration tests indicate that there is a long-run equilibrium relationship between real GDP, renewable energy consumption, non-renewable energy consumption, real gross fixed capital formation, and the labor force with elasticities estimated positive and statistically significant in the long-run. Results from panel error correction model show that there is unidirectional causality from economic growth to renewable energy consumption in the short-run and bidirectional causality in the long-run. Additionally, results prove bidirectional causality between non-renewable energy consumption and economic growth in both the short-run as well as the long-run. In fact, there are several initiatives and policies must be undertaken by Government so as to stimulate the introduction of renewable energy such as the development of several important regional based institutions and cooperation, renewable energy production tax credits, installation rebates for renewable energy systems and the creation of markets for renewable energy certificates.

• Item Type: MPRA Paper
• Language: English
• Keywords: Renewable and non-renewable energy consumption, Growth, Panel cointegration, MENA Net Oil Exporting Countries.
• Subjects: C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C21 - Cross-Sectional Models ; Spatial Models ; Treatment Effect Models ; Quantile Regressions; C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C23 - Panel Data Models ; Spatio-temporal Models; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q2 - Renewable Resources and Conservation; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy

References

Apergis, N., Payne, J.E., 2009a. Energy consumption and economic growth in Central America: evidence from a panel cointegration and error correction model. Energy Econ. 31, 211–216.

Apergis, N., Payne, J.E., 2009b. Energy consumption and economic growth: evidence from the Commonwealth of Independent States. Energy Econ. 31 (5), 641–647.

Apergis, N., Payne, J.E., 2010a. The emissions, energy consumption, and growth nexus: evidence from the commonwealth of independent states. Energy Policy 38 (1), 650–655.

Apergis, N., Payne, J.E., 2010b. Energy consumption and growth in South America: evidence from a panel error correction model. Energy Econ. 32 (6), 1421–1426.

Apergis, N., Payne, J.E., 2010c. Renewable energy consumption and economic growth: evidence from a panel of OECD countries. Energy Policy 38 (1), 656–660.

Apergis, N., Payne, J.E., 2010d. Renewable energy consumption and growth in Eurasia. Energy Econ. 32 (6), 1392–1397.

Apergis, N., Payne, J.E., Menyah, K., Wolde-Rufael, Y., 2010. On the causal dynamics between emissions, nuclear energy, renewable energy, and economic growth. Ecol. Econ. 69 (11), 2255–2260.

Apergis, N., Payne, J.E., 2011a. The renewable energy consumption-growth nexus in Central America. Appl. Energy 88 (1), 343–347.

Apergis, Nicholas & Payne, James E., 2011b. Renewable and non-renewable electricity consumption–growth nexus: Evidence from emerging market economies, Applied Energy, Elsevier, vol. 88(12), pages 5226-5230.

Apergis, Nicholas & Payne, James E., 2012. Renewable and non-renewable energy consumption-growth nexus: Evidence from a panel error correction model, Energy Economics, Elsevier, vol. 34(3), pages 733-738.

Banerjee, A., 1999. Panel data unit roots and cointegration: an overview. Oxford Bulletin of Economics and Statistics S1 (61), 607–629.

Bowden, N., Payne, J.E., 2010. Sectoral analysis of the causal relationship between renewable and non-renewable energy consumption and real output in the U.S. Energy Sources Part B 5, 400–408.

BP-Statistical Review of World Energy 2012. Accessed from: http://www.bp.com/en/global/corporate/about-bp/energyeconomics /statisticalreview-of-world-energy/2012-in-review/other-fuels.html.

Breitung, J., 2000. The Local Power of Some Unit Root Tests for Panel Data, Advances in Econometrics, 15, Nonstationary Panels, Panel Cointegration, and Dynamic Panels, Amsterdam: JAI Press, p. 161–178.

Breitung, J. and Pesaran, M., 2005. Unit roots and cointegration in panels, Bundesbank Discussion Paper No. 42.

Chang, C.P, Lee, C.C., 2008. Energy consumption and economic growth in Asian economies: a more comprehensive analysis using panel data. Resource and Energy Economics 30, 50–65.

Djalel D.,Bendakir A., Metatla S., Guebabi W., Soufi Y.,2012. The Algerian Challenge between the Dependence on Fossil Fuels and its Huge Potential in Renewable Energy International Journal of Renewable Energy Research. Vol.2, No.3.

Doucouré, F. B. 2008. Méthodes économétriques. 5ème édition, Edition ARIMA. Engle, R.F., Granger, C.W.J., 1987. Cointegration and error correction: representation, estimation, and testing. Econometrica 55, 251–276.

Fang, Y., 2011. Economic welfare impacts from renewable energy consumption: the China experience. Renewable Sustainable Energy Rev. 15, 5120–5128.

Georgeta Vidican, 2012. Building Domestic Capabilities in Renewable Energy: A case study of Egypt (Bonn: Deutsches Institut für Entwicklungspolitik, 2012)

Glada Lahn and Paul Stevens, 2011. Burning Oil to Keep Cool: The Hidden Energy Crisis in Saudi Arabia (London: Chatham House, December 2011)

Global Wind Statistics report, 2012. (http://www.gwec.net/publications/global-wind-report-2/global-wind-report-2012/).

Hadri, K., 2000. Testing for Stationarity in Heterogeneous Panel Data, Econometric Journal, 3, p. 148–161.

Huntington, H.G., 2009. The oil security problem. In Evans, J., and Hunt, L. C. (Eds.). International Handbook on The Economics of Energy. Chapter 16. pp. 383-400. Cheltenham: Edward Elgar Publishing.

Im, K.S., M.H. Pesaran and Y. Shin, 2003. Testing for unit roots in heterogeneous panels. J. Econometrics, 115: 53-74.

International Energy Agency (IEA), Renewables Information 2012 (Paris: IEA/OECD, 2012).

Kao, C., 1999. Spurious Regression and Residual-Based Tests for Cointegration in Panel Data, Journal of Econometrics 90, 1-44.

Lee, C.C., 2006. The causality relationship between energy consumption and GDP in G-11 countries revisited. Energy Policy 34 (9), 1086–1093.

Lee, C.C., 2007. Energy consumption and GDP in developing countries: a cointegration panel analysis. Energy Economics, 27(3), pp. 415-427.

Levin, A., Lin, C.F., Chu, C., 2002. Unit root tests in panel data: asymptotic and finite sample properties. Journal of Econometrics 108, 1–24.

Looney R. 2009, The Omani and Bahraini Paths to Development Rare and Contrasting Oil-based Economic Success Stories. Working Paper 2009/38. Helsinki: UNU-WIDER.

Maddala, G.S.,Wu, S., 1999. A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics 61, 631–652.

Masdar, “Masdar Launches Shams 1, The World’s Largest Concentrated Solar Power Plant in Operation,” press release (Abu Dhabi: 17 March 2013).

Mozumder, P and Marathe, A., 2007. Causality relationship between electricity consumption and GDP in Bangladesh. Energy Policy, 35(1), pp. 395-402.

Nyarko, Y. 2010. The United Arab Emirates Some Lessons in Economic Development. Working Paper 2010/11. Helsinki: UNU-WIDER.

Payne, J.E., 2009. On the dynamics of energy consumption and output in the US. Appl. Energy 86 (4), 575–577.

Payne, J.E., 2011. On biomass energy consumption and real output in the US. Energy Sources Part B 6 (1), 47–52.

Pedroni, P., 1999. Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bulletin of Economics and Statistics 61, 653–670.

Pedroni, P., 2000. Fully modified OLS for heterogeneous cointegrated panels. Advanced in Econometrics 15, 93–130.

Pedroni, P., 2001.Purchasing Power Parity Tests in Cointegrated Panels. The Review of Economics and Statistics, Vol. 83: 727–731.

Pedroni, P., 2004. Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the ppp hypothesis: new results. Econometric Theory 20, 597–627.

Persyn, D. and Westerlund, J., 2008. Error-correction–based cointegration tests for panel data, Stata Journal, 8, 232–241.

Pesaran, H.M., Shin, Y., Smith, R.P., 1999. Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association 94, 621–634.

Pesaran, M. H., 2007. A simple panel unit root test in the presence of cross section dependence, Journal of Applied Econometrics, 22, 265–312.

Rabia F., Haris D., Stella A., Emanuela M., Andrea M. and Arslan K., 2013.Renewable Energy in the GCC: Status and Challenges,” International Journal of Energy Sector Management, 36 vol. 7, iss. 1, pp. 84–112.

Renewable Energy Policy Network for the 21st Century (REN21), 2012. Renewables 2012 Global Status Report (http://www.map.ren21.net/GSR/GSR 2012_low.pdf).

Renewable Energy Policy Network for the 21st Century (REN21), 2013: http://www.ren21.net/Portals/0/documents/activities/Regional%20Reports/MENA_2013_lowres.pdf.

Sadorsky, P., 2009a. Renewable energy consumption and income in emerging economies. Energy Policy 37 (10), 4021–4028.

Sadorsky, P., 2009b.Renewable Energy Consumption, CO2 Emissions and Oil prices in the G7 Countries, Energy Economics, 31, 3, 456-462.

Soytas, U., Sari, R., Ewing, B.T., 2007. Energy consumption, income, and carbon emissions in the United States. Ecol. Econ. 62 (3–4), 482–489.

The Penn World Table (PWT8.0). Accessed from: http://www.ggdc.net/pwt.

The Economic Freedom Foundation, 2014: (http://www.heritage.org/index/ranking).

The National Cadastre for Generation of Solid Waste in Algeria. Accessed from : http://www.ecomena.org/renewables-algeria/.

The United Nations Environment Programme, 2014. Accessed from: http://www.unep.org/Documents.Multilingual/Default.asp?DocumentID=2762&ArticleID=10716&l=en.

The World Trade Organization Qatar (WTO), 2014. Accessed from: http://www.wto.org/english/tratop_e/tpr_e/tp396_crc_e.htm

The World's Renewable Energy Network for News, Information & Companies, 2012. http://www.renewableenergyworld.com/rea/news/article/2010/12/quick-look-renewable-energy-development-in-egypt.

Tugcu, Can Tansel & Ozturk, Ilhan & Aslan, Alper, 2012. Renewable and non-renewable energy consumption and economic growth relationship revisited: Evidence from G7 countries, Energy Economics, Elsevier, vol. 34(6), pages 1942-1950.

US. Energy Information Administration. MIDDLE EAST & NORTH AFRICA. Accessed from: http://www.eia.gov/countries/mena/.

Usama Al-M., Hassan G. F., Janice Y.M. Lee, 2014. Electricity consumption from renewable and non-renewable sources and economic growth: Evidence from Latin American countries. Renewable and Sustainable Energy Reviews, Volume 30, February 2014, Pages 290-298.

Westerlund, J.,2007. Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69, 709–748.

World Bank, 2013. World Development Indicators. Accessed from: http://www. worldbank.org/data/onlinedatabases/onlinedatabases.html.

World Resource Institute, 2007. October 2006 Monthly Update: Fossil Fuel Consumption and its Implications: http://earthtrends.wri.org/updates/node/100.

World wind energy report, 2012. Accessed from: http://www.wwindea.org/webimages /WorldWindEnergyReport2012_final.pdf.

Yoo, S.H. and Kwak, S.Y.,2010. Electricity consumption and economic growth in seven South American countries. Energy Policy, 38: 181-188.