 R&D in clean technology: A project choice model with learningKoki Oikawa and Shunsuke Managi Journal of Economic Behavior & Organization, 2015, vol. 117, issue C, 175-195 Abstract: In this study, we investigate the qualitative and quantitative effects of an R&D subsidy for a clean technology and a Pigouvian tax on a dirty technology on environmental R&D when it is uncertain how long the research takes to complete. The model is formulated as an optimal stopping problem, in which the number of successes required to complete the R&D project is finite and learning about the probability of success is incorporated. We show that the optimal R&D subsidy with the consideration of learning is higher than that without it. We also find that an R&D subsidy performs better than a Pigouvian tax unless suppliers have sufficient incentives to continue cost-reduction efforts after the new technology successfully replaces the old one. Moreover, by using a two-project model, we show that a uniform subsidy is better than a selective subsidy. Keywords: Environmental technology; Learning; R&D subsidy; Pigouvian tax (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jeborg:v:117:y:2015:i:c:p:175-195 DOI: 10.1016/j.jebo.2015.06.015 Access Statistics for this article Journal of Economic Behavior & Organization is currently edited by Houser, D. and Puzzello, D. More articles in Journal of Economic Behavior & Organization from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.