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The causality between energy consumption and economic growth: A multi-sectoral analysis using non-stationary cointegrated panel data

Valeria Costantini and Chiara Martini

Energy Economics, 2010, vol. 32, issue 3, 591-603

Abstract: The increasing attention given to global energy issues and the international policies needed to reduce greenhouse gas emissions have given a renewed stimulus to research interest in the linkages between the energy sector and economic performance at country level. In this paper, we analyse the causal relationship between economy and energy by adopting a Vector Error Correction Model for non-stationary and cointegrated panel data with a large sample of developed and developing countries and four distinct energy sectors. The results show that alternative country samples hardly affect the causality relations, particularly in a multivariate multi-sector framework.

Keywords: Energy; sector; Panel; unit; roots; Panel; cointegration; Vector; Error; Correction; Models; Granger; causality (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (193)

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Working Paper: The causality between energy consumption and economic growth: A multi-sectoral analysis using non-stationary cointegrated panel data (2009) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:32:y:2010:i:3:p:591-603

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Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant

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