Tools
Tools
Tol, Richard S J (1997) On the optimal control of carbon dioxide emissions: An application of FUND. Environmental Modeling and Assessment, 2 (3). pp. 151-163. ISSN 1420-2026
Full text not available from this repository.Abstract
This paper presents the Climate Framework for Uncertainty, Negotiation and Distribution (FUND), an integrated assessment model of climate change, and discusses selected results. FUND is a nine-region model of the world economy and its interactions with climate, running in time steps of one year from 1990 to 2200. The model consists of scenarios for economy and population, which are perturbed by climate change and greenhouse gas emission reduction policy. Each region optimizes its net present welfare. Policy variables are energy and carbon efficiency improvement, and sequestering carbon dioxide in forests. It is found that reducing conventional air pollution is a major reason to abate carbon dioxide emissions. Climate change is an additional reason to abate emissions. Reducing and changing energy use is preferred as an option over sequestering carbon. Under non-cooperation, free riding as well as assurance behaviour is observed in the model. The scope for joint implementation is limited. Under cooperation, optimal emission abatement is (slightly) higher than under non-cooperation, but the global coalition is not self-enforcing while side payments are insufficient. Optimal emission control under non-cooperation is less than currently discussed under the Framework Convention on Climate Change, but higher than observed in practice.
| Item Type: | Article |
|---|---|
| Schools and Departments: | University of Sussex Business School > Economics |
| Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences > GE170 Environmental policy H Social Sciences > HB Economic theory. Demography |
| Related URLs: | |
| Depositing User: | Richard Tol |
| Date Deposited: | 18 Apr 2012 10:36 |
| Last Modified: | 18 Apr 2012 10:36 |
| URI: | http://sro.sussex.ac.uk/id/eprint/38401 |