Ben Jebli, Mehdi and Ben Youssef, Slim (2013): Output, renewable and non-renewable energy consumption and international trade: Evidence from a panel of 69 countries.
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Abstract
This paper uses panel cointegration techniques to examine the causal relationship between output, renewable and non-renewable energy consumption, and international trade for a sample of 69 countries during the period 1980-2007. In the short-run, Granger causality tests show that there is a bidirectional causality between output and trade (exports or imports), a bidirectional causality between non-renewable energy and trade, and a one way causality running from renewable energy to trade. In the long-run, a bidirectional causality between renewable energy and imports and a unidirectional causality running from renewable energy to exports, are noticed. Our long-run OLS, FMOLS and DOLS estimates suggest that renewable, non-renewable energy consumption and trade have a positive impact on economic growth. Our energy policy recommendations are the following: i) any non-renewable energy policy should take into account the importance of international trade, ii) more renewable energy use should be encouraged by national and international competent authorities in order to increase international economic exchanges and promote economic growth without harming the environment, and iii) increasing imports, particularly by developing countries, is a good vehicle for renewable energy technology transfer and contributes to increase renewable energy consumption in the long-run, thus contributing to reducing greenhouse gas emissions.
Item Type: | MPRA Paper |
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Original Title: | Output, renewable and non-renewable energy consumption and international trade: Evidence from a panel of 69 countries |
Language: | English |
Keywords: | Renewable and non-renewable electricity consumption; Trade; Panel cointegration. |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C33 - Panel Data Models ; Spatio-temporal Models E - Macroeconomics and Monetary Economics > E1 - General Aggregative Models F - International Economics > F1 - Trade Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q43 - Energy and the Macroeconomy |
Item ID: | 56494 |
Depositing User: | Slim Ben Youssef |
Date Deposited: | 09 Jun 2014 05:39 |
Last Modified: | 26 Sep 2019 14:28 |
References: | Al-mulali, U., Fereidouni, H.G., Janice, Y.L., Che N.B. Che, S., 2013. Examining the bi-directional long run relationship between renewable energy consumption and GDP growth. Renewable and Sustainable Energy Review, 22, 209-222. Apergis, N., Payne, J.E., 2010a. Renewable energy consumption and economic growth evidence from a panel of OECD countries. Energy Policy, 38, 656-660. Apergis, N., Payne, J.E., 2010b. Renewable energy consumption and growth in Eurasia. Energy Economics, 32, 1392-1397. Apergis, N., Payne, J.E., 2011. The renewable energy consumption-growth nexus in Central America. Applied Energy, 88, 343-347. Apergis, N., Payne, J.E., 2012. Renewable and non-renewable energy consumption-growth nexus: Evidence from a panel error correction model. Energy Economics, 34, 733-738. Ben Aïssa, M.S., Ben Jebli, M, Ben Youssef, S., 2014. Output, renewable energy consumption and trade in Africa. Energy Policy, 66, 11–18. De la Tour A., Glachant, M., Ménière, Y., 2011. Innovation and international technology transfer: the case of the Chinese photovoltaic industry. Energy Policy, 39, 761–770. Dickey, D.A., Fuller, W.A., 1979. Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74, 427-431. Engle, R.F., Granger C.W.J., 1987. Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55, 251-276. Halicioglu, F., 2009. An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey. Energy Policy, 37, 1156-1164. Heston, A., Summers, R., Aten, B., 2012. Penn world table version 7.1. Center of comparisons of production, income and prices at the University of Pennsylvania. Accessed at: https://pwt.sas.upenn.edu/php_site/pwt71/pwt71_form.php. Im, K.S., Pesaran, M.H., Shin, Y., 2003. Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115, 53-74. International Energy Agency, 2012. Renewable Energy Outlook. Available online at: www.worldenergyoutlook.org/media/weowebsite/2012/WEO2012_Renewables.pdf. Kao, C., 1999. Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics, 90, 1-44. Kao, C., and Chiang, M.H., 2001. On the estimation and inference of a cointegrated regression in panel data. Advances in Econometrics, 15,179-222. Lean, H.H., Smyth, R., 2010a. Multivariate Granger causality between electricity generation, exports and GDP in Malaysia. Energy, 35, 3640–3648. Lean, H.H., Smyth, R., 2010b. On the dynamics of aggregate output, electricity consumption and exports in Malaysia: Evidence from multivariate Granger causality tests. Applied Energy, 87, 1963-1971. Levin, A., Lin, C.F., Chu, C.S., 2002. Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, 108, 1-24. Narayan, P.K., Smyth, R., 2009. Multivariate Granger causality between electricity consumption, exports and GDP: evidence from a panel of Middle Eastern countries. Energy Policy, 37, 229-236. Ozturk, I., Acaravci, A., 2010. CO2 emissions, energy consumption and economic growth in Turkey. Renewable and Sustainable Energy Reviews, 14, 3220-3225. 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., 2001. Purchasing power parity tests in cointegrated panels. Review of Economics and Statistics, 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. Econometric Theory, 20, 597-625. Phillips, P.C.B., Perron, P., 1988. Testing for a unit root in time series regressions. Biometrika, 75, 335-346. Sadorsky, P., 2009a. Renewable energy consumption, CO2 emissions and oil prices in the G7 countries. Energy Economics, 31, 456-462. Sadorsky, P., 2009b. Renewable energy consumption and income in emerging economies. Energy policy, 37, 4021-4028. Sadorsky, P., 2011. Trade and energy consumption in the Middle East. Energy Economics, 33, 739-749. Sadorsky, P., 2012. Energy consumption, output and trade in South America. Energy Economics 34, 476-488. World Bank, 2010. World Development Indicators. Accessed at: http://www.worldbank.org/data/onlinedatabases/onlinedatabases.html. United Nations Environment Program, 2013a. Renewable Energy Policy Network for the 21st Century, ‘‘Renewables 2013: Global Status Report’’, Paris, France. Accessed at: www.ren21.net. United Nations Environment Program, 2013b. Green Economy and Trade-Trends, Challenges and Opportunities. Accessed at: http://www.unep.org/greeneconomy/Portals/88/GETReport/pdf/FullReport.pdf United Nations Environment Program and the World Trade Organization, 2009. Trade and Climate Change. Available at http://www.wto.org. World Trade Organization, 2011. Harnessing trade for sustainable development and a green economy. Available at: www.wto.org. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/56494 |