An economic perspective on experience curves and dynamic economies in renewable energy technologies

By Maya Papineau. 2006

146 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/c9fa54ba62a3a490a0a02cc8ea9026241782286d

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. Sonia Yeh
2. Edward S. Rubin
3. S. Samadi
4. T. Sundqvist
5. Patrik Söderholm
6. Kenneth T. Gillingham
7. A. V. Benthem
8. J. Sweeney

In Management Science and Operations Research

1. Edward S. Rubin
2. Sonia Yeh
3. S. Samadi
4. T. Sundqvist
5. Kenneth T. Gillingham
6. A. V. Benthem
7. J. Sweeney
8. Tooraj Jamasb

Citations in the corpus

• A review of uncertainties in technology experience curves (2012, methodology): “…as to explicitly separate the true effect of “learning” from that of progress that occurs exogenously over time (or is more strongly associated with time or diffusion rather than with “learning”) (Ferioli et al., 2009; Jamasb, 2007; Lindman and Söderholm, in press; Nordhaus, 2009; Papineau, 2006).”
• Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies (2007, background): “Since 1990s, the pressing need for economic and policy analysis of energy technologies has been an important source of interest in application of learning curves to this area (Papineau, 2006; McDonald and Schrattenholzer, 2001; Criqui et al., 2000; IEA, 2000).”
• Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies (2007, background): “, [20,21]), and some of these show that the impact of cumulative capacity on costs are very sensitive to the inclusion of a time trend in the traditional learning curve model.”
• The dynamics of solar PV costs and prices as a challenge for technology forecasting (2013, background): “At a basic conceptual level, learning by experience (the assumed primary learning effect in learning curves) can only partially explain cost reductions and the multiple, complex drivers of cost reductions cannot be fully captured by a simple functional relationship between capacity installed and uni”
• The experience curve theory and its application in the field of electricity generation technologies – A literature review (2018, background): “[58] Germany Installed capacity Wind turbine prices 1987-2000 5 0.”
• Learning-by-Doing and the Optimal Solar Policy in California (2008, background): “The recent evidence by Nemet (2006) and Papineau (2004) can be viewed in light”