The feasibility of low concentration targets: An application of FUND

Tol, Richard S J (2009) The feasibility of low concentration targets: An application of FUND. Energy Economics, 31 (S2). S121-S130. ISSN 0140-9883

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Abstract

This paper studies the feasibility of stringent targets for stabilizing ambient greenhouse gas concentrations using the FUND model. 170,000 policy scenarios were run, systematically varying the price of carbon, participation in climate policy, the strength of the climate feedback on the terrestrial carbon cycle, the no policy scenario, and the abatement costs. The results reveal the following. Climate policy has diminishing returns, and there is therefore a maximum to what can be achieved. The success of climate policy is hampered if, as is likely, the terrestrial biosphere turns from a carbon sink to a carbon source because of climate change. All major countries have to reduce their emissions in order to meet the more ambitious stabilization targets. The cost of climate policy would be lower if the stabilization target can be exceeded in the interim. The EU target of 2 °C warming above pre-industrial is infeasible under almost all assumptions. A cost-benefit analysis would endorse a target of 4.5 W m- 2 (but not much stricter than that) if all major emitters engage in abatement. Under the same condition, the median US voter would support a 3.7 W m- 2 target (but not much stricter than that). International permit trade would encourage large developing countries to reduce their emissions, but the trade flows would be substantial relative to product trade and much larger than official development aid.

Item Type: Article
Schools and Departments: School of Business, Management and Economics > Economics
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences > GE170 Environmental policy
H Social Sciences > HB Economic theory. Demography
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Depositing User: Richard Tol
Date Deposited: 17 Apr 2012 15:06
Last Modified: 17 Apr 2012 15:06
URI: http://sro.sussex.ac.uk/id/eprint/38268
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