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The social face of renewables: Econometric analysis of the relationship between renewables and employment

Authors: Proença, Sara; Fortes, Patricia;

The social face of renewables: Econometric analysis of the relationship between renewables and employment

Abstract

Renewable energy promotion has been one of the key driving forces of the world’s climate change mitigation strategy. Policymakers have argued that the transition towards a low-carbon energy system has sound economic and social reasoning, since generates economic growth and employment. This central premise has not, however, been consensual in literature, which requires additional research. In this context, the goal of this paper is to analyze and provide empirical evidence of the relationship between renewable energy deployment and job creation, by employing econometric methods from panel data analysis. The research is focused on European Union’s 28 member states, analyzing the relationship between historical values of renewable power generation installed capacity and employment over the period 2000–2016. Results suggest a positive relationship between these two variables, showing an increase of 0.48% in employment for each 1% increase in renewable power generation capacity. The outcomes of the present analysis enable better understanding of the social context of renewables, providing relevant insights that can constitute an auxiliary instrument to support decision-making. Keywords: Econometric analysis, Employment, Renewables, European union, Panel data regressions

Keywords

Employment, ddc:330, European union, Panel data regressions, TK1-9971, Econometric analysis, Electrical engineering. Electronics. Nuclear engineering, Renewables

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    38
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
38
Top 10%
Top 10%
Top 10%
gold