Output, renewable energy consumption and international trade: Evidence from a panel of 69 countries

Ben Jebli, Mehdi and Ben Youssef, Slim (2013): Output, renewable energy consumption and international trade: Evidence from a panel of 69 countries.

Abstract

This paper uses panel cointegration techniques to examine the causal relationship between output, 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 evidence of bidirectional causality relationship between output and trade (exports or imports), and a unidirectional causality relationship running from renewable energy consumption to trade. However, in the short-run, there is evidence of no causality running from trade to renewable energy consumption. In the long-run, the error correction term provides that there is evidence of bidirectional causality relationship between output, trade and renewable energy consumption. Long-run estimations show that all coefficients are positive and statistically significant. Policies recommendations are that, in the long-run, international trade enables countries to benefit from technology transfer and to build the human and physical capacities needed to produce more renewable energies, while increasing their output. Therefore, more trade openness could be a good policy for combating global warming as it incites the use of renewable energies.

• Item Type: MPRA Paper
• Language: English
• Keywords: Renewable electricity consumption; Trade openness; Panel cointegration.
• Subjects: C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C33 - Panel Data Models ; Spatio-temporal Models; F - International Economics > F1 - Trade > F14 - Empirical Studies of Trade; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q42 - Alternative Energy Sources; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q43 - Energy and the Macroeconomy

References

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., 2011a. 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.

Breitung, J., 2000. The local power of some unit root tests for panel data, in: B.Baltagi (Ed.) Non-Stationary panels, panel cointegration, and dynamic panels, Advances in Econometrics, 15, 161-178, JAI Press, Amsterdam.

Engle, R.F., Granger C.W.J., 1987. Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55, 251-276.

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., Chiang, M.H., 2000. On the estimation and inference of a cointegrated regression in panel data, in: Baltagi, B.H., Fomby, T.B., Hill, R.C. (Eds.), Advances in Econometrics. Emerald Group Publishing Limited, 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.

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.

Mark, N.C., Sul, D., 2003. Cointegration vector estimation by panel DOLS and long-run money demand. Oxford Bulletin of Economics and Statistics, 65, 655-680.

Pedroni, P., 1999. Critical values for cointegration tests in heterogenous 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.

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 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.