Learning and enhanced climate representation in integrated assessment models. Final report, September 1994--May 1997
The objective of the project is to enhance capabilities for integrated-assessment modeling in two major areas: learning/R and D/information acquisition and the nexus between climate dynamics and climate impacts. In the first of these areas, the author`s objective is to improve the way in which economic models deal with learning (endogenous and/or exogenous) within an economy. This would obviously include the R and D process, whereby knowledge about climate change (and many other things) is acquired over time and influences regulatory actions. The work in climate dynamics is focused in part on incorporating the regional climate-change results from equilibrium and transient general circulation model (GCM) simulations in the simplified integrated-assessment model. While the work is generic and therefore applicable to any integrated-assessment model, it is done in the context of a standard Ramsey growth model. Thus, the work involves theoretical conceptualization, empirical implementation in an integrated-assessment model, and analysis using that model.
- Research Organization:
- Univ. of California, Santa Barbara, CA (United States)
- Sponsoring Organization:
- USDOE Office of Energy Research, Washington, DC (United States)
- DOE Contract Number:
- FG03-94ER61944
- OSTI ID:
- 656475
- Report Number(s):
- DOE/ER/61944-T1; ON: DE98006354; TRN: AHC29817%%30
- Resource Relation:
- Other Information: PBD: [1997]
- Country of Publication:
- United States
- Language:
- English
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