Renewable energy consumption and unemployment: evidence from a sample of 80 countries and nonlinear estimates

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 n...

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Main Authors: Apergis, Nicholas, Salim, Ruhul
Format: Journal Article
Published: Routledge 2015
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/17217
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author Apergis, Nicholas
Salim, Ruhul
author_facet Apergis, Nicholas
Salim, Ruhul
author_sort Apergis, Nicholas
building Curtin Institutional Repository
collection Online Access
description 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.
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institution Curtin University Malaysia
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publishDate 2015
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spelling curtin-20.500.11937-172172017-09-13T15:43:56Z Renewable energy consumption and unemployment: evidence from a sample of 80 countries and nonlinear estimates Apergis, Nicholas Salim, Ruhul unemployment nonlinearity panel data renewable energy consumption 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. 2015 Journal Article http://hdl.handle.net/20.500.11937/17217 10.1080/00036846.2015.1054071 Routledge fulltext
spellingShingle unemployment
nonlinearity
panel data
renewable energy consumption
Apergis, Nicholas
Salim, Ruhul
Renewable energy consumption and unemployment: evidence from a sample of 80 countries and nonlinear estimates
title Renewable energy consumption and unemployment: evidence from a sample of 80 countries and nonlinear estimates
title_full Renewable energy consumption and unemployment: evidence from a sample of 80 countries and nonlinear estimates
title_fullStr Renewable energy consumption and unemployment: evidence from a sample of 80 countries and nonlinear estimates
title_full_unstemmed Renewable energy consumption and unemployment: evidence from a sample of 80 countries and nonlinear estimates
title_short Renewable energy consumption and unemployment: evidence from a sample of 80 countries and nonlinear estimates
title_sort renewable energy consumption and unemployment: evidence from a sample of 80 countries and nonlinear estimates
topic unemployment
nonlinearity
panel data
renewable energy consumption
url http://hdl.handle.net/20.500.11937/17217