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- W159597680 abstract "The objective of this article is to review a number of important theoretical and empirical challenges in measuring technology learning (learning-by-doing rates) in the energy sector. Particular attention is paid to the case of wind power, a technology that is believed to be a key in complying with future climate policy targets and that has been in focus in many previous learning studies. The article discusses the following challenges: (a) the incorporation of other drivers of cost reduction beyond that of cumulative experience, including the roles of returns-to-scale and R&D; (b) the geographical domain of technology learning and R&D spillovers; (c) the interaction between technology diffusion and learning-by-doing; and (d) the overall character of the process of technological progress. We also draw on the existing empirical literature on wind power learning rates to illustrate different ways to model learning, as well as some central results in previous work." @default.
- W159597680 created "2016-06-24" @default.
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- W159597680 date "2013-01-01" @default.
- W159597680 modified "2023-10-18" @default.
- W159597680 title "Economics of Technology Learning in Wind Power*" @default.
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- W159597680 doi "https://doi.org/10.1016/b978-0-12-375067-9.00099-1" @default.
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