Optimal Investment Strategy for Competing Learning Technologies: An Analytical Approach

作者: Fabian Wagner

DOI: 10.1007/978-3-319-05780-4_5

关键词:

摘要: A major drawback of employing experience curves to model future technological change is the sensitivity results rate change, which in turn typically associated with a high degree uncertainty. In this chapter developed and analytically solved examine properties models endogenous under It has three main objectives: illustrate specific stochastic programs curves, whether diversification an optimal strategy presence uncertainty, provide tool for decision making support. After review objectives, approach current state research section 5.1, basic 5.2 successively expanded sections 5.3 5.4. 5.5 several assumptions required preceding are critically reviewed. The closes illustrative application two renewable technologies 5.6 discussion key findings implications 5.7.

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