Assessing the Economic Impacts of Climate Change
AbstractThe present research describes a climate change integrated impact assessment exercise, whose economic evaluation is based on a CGE approach and modeling effort. Estimates indicate that a temperature increase of 1.92°C compared to pre-industrial levels in 2050 (consistent with the A1B IPCC SRES scenario) could lead to global GDP losses of approximately 0.5% compared to a hypothetical scenario where no climate change is assumed to occur. Northern Europe is expected to slightly benefit (+0.18%), while Southern and Eastern Europe are expected to suffer from the climate change scenario under analysis (-0.15% and -0.21% respectively). Most vulnerable countries are the less developed regions, such as South Asia, South-East Asia, North Africa and Sub-Saharan Africa.
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Bibliographic InfoArticle provided by Fondazione Eni Enrico Mattei in its journal Review of Environment, Energy and Economics.
Volume (Year): (2012)
Issue (Month): (February)
Computable General Equilibrium Modeling; Impact Assessment; Climate Change;
Find related papers by JEL classification:
- C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
- Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
- Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters
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- Halkos, George, 2013. "Uncertainty in optimal pollution levels: Modeling the benefit area," MPRA Paper 47768, University Library of Munich, Germany.
- Francesco Bosello & Enrica De Cian, 2013. "Climate Change, Sea Level Rise, and Coastal Disasters. A Review of Modeling Practices," Working Papers 2013.104, Fondazione Eni Enrico Mattei.
- Richard S.J. Tol, 2012.
"Targets for Global Climate Policy: An Overview,"
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3712, Department of Economics, University of Sussex.
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