Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies

By Patrik Söderholm, T. Sundqvist. 2007

233 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/d5888e7587aadfb981cf9c57a16944f1f53cedbf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Richard G. Newell
2. David Popp
3. Adam B. Jaffe
4. Sonia Yeh
5. Edward S. Rubin
6. S. Samadi
7. Inês Lima Azevedo
8. P. Jaramillo

In Renewable Energy, Sustainability and the Environment

1. Richard G. Newell
2. David Popp
3. Adam B. Jaffe
4. Edward S. Rubin
5. Sonia Yeh
6. Inês Lima Azevedo
7. P. Jaramillo
8. S. Samadi

Citations in the corpus

• A review of learning rates for electricity supply technologies (2015, background): “…formulation find that R&D contributes significantly to cost reductions in all stages of technological development, often more so than learning by doing (Watanabe, 1995; Kouvaritakis et al., 2000; Klaassen et al., 2005; Jamasb, 2007; Söderholm and Klaassen, 2007; Söderholm and Sundqvist, 2007).”
• Energy, the Environment, and Technological Change (2009, background): “Recent papers by Klaasen et al. (2005), Söderholm and Sundqvist (2007), and Söderholm and Klaasen (2007) attempt to disentangle the separate contributions of R&D and experience by estimating “twofactor” learning curves for environmental technologies.”
• The experience curve theory and its application in the field of electricity generation technologies – A literature review (2018, background): “Critics of this approach emphasise that it should not be taken for granted that past experience curves can simply be extrapolated [53,65,72].”
• Historical construction costs of global nuclear power reactors (2016, unknown): “Clarke et al. (2006); Söderholm and Sundqvist (2007), and Pan and Köhler (2007) warned against using learning curves beyond the scope of a manufacturing fi rm, since there are many drivers of cost reductions that are unrelated to replications or experience.”
• A review of uncertainties in technology experience curves (2012, methodology): “Explanatory variables in addition to cumulative production or capacity have included economies-of-scale (Joskow and Rose, 1985; Nemet, 2006; Söderholm and Sundqvist, 2007), input prices for materials (Joskow and Rose, 1985; Nemet, 2006; Söderholm and Sundqvist, 2007), labor costs (Joskow and Rose, 1”