Option values of low carbon technology policies: how to combine irreversibility effects and learning-by-doing in decisions
In this paper, the political dilemma of the deployment of a large-size low carbon technology (LCT) is analyzed. A simple dynamic model is developed to analyze the interrelation between irreversible investments and learning-by-doing within a context of exogenous uncertainty on carbon price. Contrasting results are obtained. In some cases, the usual irreversibility effects hold, fewer plants of the LCT should be developed when information is anticipated. In other cases, this result is reversed and information arrival can justify an early deployment of the LCT. More precisely, it is shown that marginal reasoning is limited when learning by-doing, and more generally endogenous technical change, is considered. When information arrival is anticipated the optimal policy can move from a corner optimum with no LCT deployment to an interior optimum with a strictly positive development.
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- Sue Wing, Ian, 2006. "Representing induced technological change in models for climate policy analysis," Energy Economics, Elsevier, vol. 28(5-6), pages 539-562, November.
- Baker, Erin & Shittu, Ekundayo, 2006. "Profit-maximizing R&D in response to a random carbon tax," Resource and Energy Economics, Elsevier, vol. 28(2), pages 160-180, May.
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- Manne, Alan S. & Barreto, Leonardo, 2004. "Learn-by-doing and carbon dioxide abatement," Energy Economics, Elsevier, vol. 26(4), pages 621-633, July.
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