DocumentCode :
1301539
Title :
Optimal Energy R&D Portfolio Investments in Response to a Carbon Tax
Author :
Shittu, Ekundayo ; Baker, Erin
Author_Institution :
A.B. Freeman Sch. of Bus., Tulane Univ., New Orleans, LA, USA
Volume :
57
Issue :
4
fYear :
2010
Firstpage :
547
Lastpage :
559
Abstract :
In this paper, we deal with a very timely issue-R&D strategies needed for compliance with a climate policy in an economically optimal way. We provide interesting insights into the composition of R&D portfolios across the main mitigation options for decision makers and policy makers. We address the optimal R&D investment response of a decision maker or an engineering manager-at the firm level with a portfolio of alternative technologies-to a rising carbon tax. Understanding the optimal allocation of investments in these technologies is crucial because like most economic resources, there is a limitation on the investment capabilities of a firm to undertake these innovative efforts. In addition, environmental R&D spending is irreversible and investment decisions made today have multiperiod consequences on the energy technologies landscape. Thus, we explore the reaction of a firm´s optimal investment in an energy R&D portfolio comprising four different technologies to increases in a future carbon tax. We find that investment allocation depends on the elasticity of substitution between fossil and nonfossil energy inputs, and the relative costs and efficacy of the R&D programs; and that overall investment tends to decrease in risk depending on firm flexibility and specifications.
Keywords :
environmental economics; investment; research and development; taxation; carbon tax; environmental R and D spending; firm flexibility; firm specification; investment allocation; optimal R and D portfolio investments; research and development; Carbon tax; Costs; Elasticity; Engineering management; Environmental economics; Investments; Portfolios; Power generation economics; Resource management; Technology management; Carbon tax; decision-making under uncertainty; elasticity; energy R&D; investment;
fLanguage :
English
Journal_Title :
Engineering Management, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9391
Type :
jour
DOI :
10.1109/TEM.2009.2023107
Filename :
5208293
Link To Document :
بازگشت