This paper develops climate-response functions for sensitive market sectors in the United States' economy using two empirical methods. The experimental approach constructs a process-based impact model from the results of controlled experiments. Reduced-form equations can be estimated from the model responses to multiple climate scenarios. The cross-sectional approach estimates response functions directly from empirical evidence in the field. Both methods indicate that agriculture, forestry, and energy have a hill-shaped relationship to temperature. Precipitation, sea-level rise, and carbon dioxide are also important.
|Original language||English (US)|
|Number of pages||5|
|State||Published - Jun 1999|
ASJC Scopus subject areas
- Geography, Planning and Development
- Environmental Chemistry