Estimation of Climate Change Damage Functions for 140 Regions in the GTAP9 Database
Climate change damage (or, more correctly, impact) functions relate variations in temperature (or other climate variables) to economic impacts in various dimensions, and are at the basis of quantitative modeling exercises for the assessment of clim...
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| Language: | English en_US |
| Published: |
World Bank, Washington, DC
2016
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| Online Access: | http://documents.worldbank.org/curated/en/2016/06/26518922/estimation-climate-change-damage-functions-140-regions-gtap9-database http://hdl.handle.net/10986/24643 |
| Summary: | Climate change damage (or, more
correctly, impact) functions relate variations in
temperature (or other climate variables) to economic impacts
in various dimensions, and are at the basis of quantitative
modeling exercises for the assessment of climate change
policies. This document provides a summary of results from a
series of meta-analyses aimed at estimating parameters for
six specific damage functions, referring to: sea level rise,
agricultural productivity, heat effects on labor
productivity, human health, tourism flows, and
households' energy demand. All parameters of the damage
functions are estimated for each of the 140 countries and
regions in the Global Trade Analysis Project 9 data set. To
illustrate the salient characteristics of the estimates, the
change in real gross domestic product is approximated for
the different effects, in all regions, corresponding to an
increase in average temperature of +3°C. After considering
the overall impact, the paper highlights which factor is the
most significant one in each country, and elaborates on the
distributional consequences of climate change. |
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