globalchange  > 气候变化与战略
DOI: 10.1016/j.enpol.2019.111047
论文题名:
Modelling strategy and net employment effects of renewable energy and energy efficiency: A meta-regression
作者: Stavropoulos S.; Burger M.J.
刊名: Energy Policy
ISSN: 03014215
出版年: 2020
卷: 136
语种: 英语
中文关键词: Circular economy ; Meta-analysis ; Net employment ; Renewable energy
英文关键词: Energy efficiency ; Circular economy ; Computable general equilibrium ; Empirical literature ; Employment effects ; Energy transitions ; Meta analysis ; Modelling strategies ; Renewable energies ; Employment ; alternative energy ; energy efficiency ; energy policy ; meta-analysis ; numerical model ; regression analysis ; renewable resource
英文摘要: 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. © 2019 The Authors
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/167498
Appears in Collections:气候变化与战略

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作者单位: Department of Applied Economics, Tinbergen Institute and Researcher at the Erasmus Happiness Economics Research Organization, Erasmus University, Rotterdam, Netherlands; Department of Applied Economics, Erasmus University, Rotterdam, Netherlands; Tinbergen Institute and academic Director at the Erasmus Happiness Economics Research Organization, P.O. Box 1738, DR Rotterdam, 3000, Netherlands

Recommended Citation:
Stavropoulos S.,Burger M.J.. Modelling strategy and net employment effects of renewable energy and energy efficiency: A meta-regression[J]. Energy Policy,2020-01-01,136
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