Accuracy of progress ratios determined from experience curves: the case of crystalline silicon photovoltaic module technology development

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The experience curve theory and its application in the field of electricity generation technologies – A literature review (2018, methodology): “[71] Global Produced capacity Module prices 1976-2006 21 0.”
Learning curve analysis of concentrated photovoltaic systems (2015, methodology): “Learning Rate (%) Mid pt: (range) 18% (14%, 23%) 11% [10] 12% [17] 14% [44]”
Using the sun to decarbonize the power sector: The economic potential of photovoltaics and concentrating solar power ☆ (2014, background): “, scarcity of feedstock silicon that led to high PV module prices in 2005-2009) caused price fluctuations lasting for several years, over longer time scales PV consistently showed a very high learning rate of 20±5% [2], [3], [47], [78], [79] .”
Feed-In Tariffs for Photovoltaics: Learning by Doing in Germany (2011, unknown): “Sark et al. (2008)”