2007
DOI: 10.1016/j.renene.2006.12.007
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Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies

Abstract: In bottom-up energy models endogenous technical change is introduced by implementing technology learning rates, which specify the quantitative relationship between the cumulative experiences of the technology on the one hand and cost reductions on the other. The main purpose of this paper is to critically analyze the choice of modeling and estimation strategies in learning curve analyses of power generation costs. We identify and discuss a number of theoretical and econometric issues involved in the estimation… Show more

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Cited by 177 publications
(92 citation statements)
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References 26 publications
(53 reference statements)
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“…This divergence in perspective arising from the two types of models may be overdone. First, the empirical literature suggests that both R&D and learning by doing play their own role in bringing down the costs of abatement (Söderholm and Klaassen 2007;Söderholm and Sundqvist 2006). Second, we find in an analytical framework that also in a pure R&D model, one can find reasons for upfront or delayed abatement efforts, but the difference in results is now based on the availability of policy instruments.…”
Section: Resultsmentioning
confidence: 70%
“…This divergence in perspective arising from the two types of models may be overdone. First, the empirical literature suggests that both R&D and learning by doing play their own role in bringing down the costs of abatement (Söderholm and Klaassen 2007;Söderholm and Sundqvist 2006). Second, we find in an analytical framework that also in a pure R&D model, one can find reasons for upfront or delayed abatement efforts, but the difference in results is now based on the availability of policy instruments.…”
Section: Resultsmentioning
confidence: 70%
“…However, quantitative estimates of any additional effects of such policy measures on technology costs could not be identified in the literature and, therefore, are not included in this review, although there is a large strand of literature that discusses the idea that certain forms of environmental regulation may induce technological innovation [18,19]. At the same time, it is sometimes argued in the literature that policies such as feed-in tariffs "may discourage competition among various renewable energy sources and therefore deter innovation" [20].…”
Section: Factors Influencing the Market Costs Of Electricity Generatimentioning
confidence: 99%
“…Recent papers by Klaassen et al (2005), Söderholm and Sundqvist (2007), and Söderholm and Klaassen (2007) attempt to disentangle the separate contributions of R&D and experience by estimating "two-factor" learning curves for environmental technologies. These two-factor curves model cost reductions as a function of both cumulative capacity (LBD) and R&D (learning-by-searching, or LBS).…”
Section: Estimates Of Technological Impact Using Lbdmentioning
confidence: 99%