Estimating the benefits of government-sponsored energy R&amp;D

Lee, Russell; Jordan, Gretchen B.; Leiby, Paul; Owens, Brandon N.; Wolf, James L.

doi:10.3152/147154403781776627

Search citation statements

Order By: Relevance

Paper Sections

Select...

Application Of Real Options Methods To Rd 3 Generally and Re1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2003

2007

Publication Types

Select...

Article2

Other1

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hostick et al (2004) does not go as far as using real Lee et al (2003) describes the results of a conference that discussed, in part, how to calculate the options value of RE RD 3 and the challenges for such an evaluation. (2003) The specific application of the real options framework to evaluating RE RD 3 , however, is relatively new.…”

Section: Application Of Real Options Methods To Rd 3 Generally and Rementioning

confidence: 99%

Real options valuation of US federal renewable energy research, development, demonstration, and deployment

2007

View full text Add to dashboard Cite

show abstract

Section: Application Of Real Options Methods To Rd 3 Generally and Rementioning

confidence: 99%

Real options valuation of US federal renewable energy research, development, demonstration, and deployment

2007

View full text Add to dashboard Cite

show abstract

MANAGING ADVANCED TECHNOLOGY SYSTEM DEPLOYMENT: AN OPTIMAL ALLOCATION BETWEEN R&D AND PROTOTYPE FUNDING

Rothwell

2007

Economics of Innovation and New Technology

View full text Add to dashboard Cite

The research and development manager allocates R&D funds to maximize the expected discounted net value of the R&D programme. Because public R&D managers do not have the same market discipline (or rewards) as private R&D managers, public R&D managers require a methodology for maximizing the expected net benefits. The US National Research Council of the National Academies in Prospective Evaluation of Applied Energy Research and Development at DOE (Phase One): A First Look Forward (2005) proposed a cost-benefit methodology to evaluate US Department of Energy's Research, Development, and Demonstration (RD&D) programmes. This paper specifies and extends this methodology, e.g., by adding cost targets into each stage of the RD&D process. Expected benefits are modelled as a function of funding levels, stage durations, stage transition probabilities, and target costs. With this method, the paper determines an optimal allocation of pre-prototype R&D funding, given a total funding constraint for an advanced energy system.Decision analysis, Research and development, R&D management, RD&D, RDD&D, Technology development, Innovation, Energy policy, Advanced energy systems,

show abstract

Program Evaluation - Automotive Lightweighting Materials Program Research and Development Projects Assessment of Benefits - Case Studies No. 2

Das¹

2003

View full text Add to dashboard Cite

Estimating the benefits of government-sponsored energy R&D

Cited by 3 publications

References 0 publications

Real options valuation of US federal renewable energy research, development, demonstration, and deployment

Real options valuation of US federal renewable energy research, development, demonstration, and deployment

MANAGING ADVANCED TECHNOLOGY SYSTEM DEPLOYMENT: AN OPTIMAL ALLOCATION BETWEEN R&D AND PROTOTYPE FUNDING

Program Evaluation - Automotive Lightweighting Materials Program Research and Development Projects Assessment of Benefits - Case Studies No. 2

Contact Info

Product

Resources

About