Incorporating investment uncertainty into greenhouse policy models
Creators
- 1. Univ. of Michigan, Ann Arbor, MI (United States)
- 2. Argonne, National Laboratory, IL (United States)
Description
Greenhouse gas policy decisions require comprehensive understanding of atmospheric, economic, and social impacts. Many studies have considered the effects of atmospheric uncertainty in global warning, but economic uncertainties have received less analysis. We consider a key component of economic uncertainty: the return on investments in new technologies. Using a mathematical programming model, we show that ignoring uncertainty in technology investment policy may lead to decreases as great as 2 percent in overall expected economic activity in the U.S. with even higher losses in possible future scenarios. These results indicate that both federal and private technology investment policies should be based on models explicitly incorporating uncertainty
Additional details
Publishing Information
- Journal Title
- Energy Journal
- Journal Volume
- 17
- Journal Issue
- 1
- Journal Page Range
- p. 79-90.
- ISSN
- 0195-6574
- CODEN
- ENJODN
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 27056223
- Subject category
- S54: ENVIRONMENTAL SCIENCES;
- Descriptors DEI
- ECONOMIC IMPACT; ENVIRONMENTAL POLICY; GREENHOUSE GASES; INVESTMENT; MATHEMATICAL MODELS