Learning Rates in Wind Energy: Cross-country Analysis and Policy Applications for Russia

Svetlana Ratner, Еvgenii Khrustalev


This article performs a meta-analysis of data on learning rates in wind energy, obtained from building single- and dual-factor learning curve models detailed by countries and technology development periods. It reveals a significant difference in learning rates mainly due to design and efficiency of government support programs. Multiple case studies were performed in order to interpret these results. This study proves that the maximal learning rate in wind energy can be achieved by financial support of R&D on the early stage of technological development and by attracting large manufacturers of wind turbines and other electric generation equipment on later stages. Given the fact that wind equipment manufacturing technologies are currently well developed and the global market of wind turbines is highly competitive, the tactic of obtaining technologies in exchange for access to the domestic market may prove successful even with a small domestic market capacity.

Keywords: wind energy, learning curves, power engineering, economic analysis

JEL Classifications: O33, Q42, Q47, Q48

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