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Modelling strategy and net employment effects of renewable energy and energy efficiency: A meta-regression

Stavropoulos, S. ; Burger, M.J.

Energy policy, 2020-01, Vol.136, p.111047, Article 111047 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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  • Título:
    Modelling strategy and net employment effects of renewable energy and energy efficiency: A meta-regression
  • Autor: Stavropoulos, S. ; Burger, M.J.
  • Assuntos: Circular economy ; Empirical analysis ; Employment ; Energy efficiency ; Energy policy ; Energy transition ; Meta-analysis ; Net employment ; Optimism ; Regression analysis ; Renewable energy ; Renewable resources
  • É parte de: Energy policy, 2020-01, Vol.136, p.111047, Article 111047
  • Descrição: By conducting a meta-analysis of the empirical literature on the net employment effects of renewable energy, we explore the extent to which the reported net employment effects are driven by the applied methodology. We find that the reported conclusions on net employment effects are to a large extent driven by the methodology that is applied, where computable general equilibrium (CGE) and I/O methods that include induced effects and studies that consider only the near future in their study period (up to 2020) are generally less optimistic about net employment creation in the wake of the energy transition. In addition, we found that policy reports have a greater tendency to report a positive net employment effect than academic studies. •The reported size on net employment effects of renewable energy depend on the methodology that is applied.•The direct and indirect employment effects are generally positive, the induced effects can be either positive or negative.•Policymakers have to be cautious when drawing conclusions regarding net employment creation based on a single study.•Results may be sensitive to model specification, and studies may not consider all potential effects of a transition.
  • Editor: Kidlington: Elsevier Ltd
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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