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dc.contributor.authorApergis, Nicholas
dc.contributor.authorSalim, Ruhul
dc.date.accessioned2017-01-30T12:00:21Z
dc.date.available2017-01-30T12:00:21Z
dc.date.created2015-07-13T20:00:51Z
dc.date.issued2015
dc.identifier.citationApergis, N. and Salim, R. 2015. Renewable energy consumption and unemployment: evidence from a sample of 80 countries and nonlinear estimates. Applied Economics. 47 (52): pp. 5614-5633.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/17217
dc.identifier.doi10.1080/00036846.2015.1054071
dc.description.abstract

This article contributes to the discussion on the dynamic nexus of renewable energy consumption and unemployment by incorporating nonlinear cointegration and causality analysis. Using a sample of 80 countries spanning the period 1990–2013 and the advanced generation of unit root, cointegration and nonlinear Granger causality methodological approaches in panel data, we obtain mixed results about the impact of renewable energy consumption on unemployment. Although the total findings document a positive impact of renewable energy consumption on unemployment, disaggregated data across specific regions, such as Asia and Latin America, highlight the favourable effect on unemployment, implying that the effect of renewable energy consumption on jobs creation depends on the cost of adopting renewable energy technologies and energy efficiencies that seem to vary across the regions under investigation.

dc.publisherRoutledge
dc.subjectunemployment
dc.subjectnonlinearity
dc.subjectpanel data
dc.subjectrenewable energy consumption
dc.titleRenewable energy consumption and unemployment: evidence from a sample of 80 countries and nonlinear estimates
dc.typeJournal Article
dcterms.source.startPage1
dcterms.source.endPage20
dcterms.source.issn0003-6846
dcterms.source.titleApplied Economics
curtin.accessStatusOpen access


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