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Estimation of climate change damage functions for 140 regions in the GTAP9 database

Roberto Roson () and Martina Sartori ()

No 7728, Policy Research Working Paper Series from The World Bank

Abstract: 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.

Keywords: Global Environment; Industrial Economics; Economic Growth; Economic Theory&Research; Climate Change and Health; Climate Change and Environment; Science of Climate Change (search for similar items in EconPapers)
Date: 2016-06-23
New Economics Papers: this item is included in nep-agr and nep-env
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Related works:
Journal Article: Estimation of Climate Change Damage Functions for 140 Regions in the GTAP 9 Database (2016) Downloads
Working Paper: Estimation of climate change damage functions for 140 regions in the GTAP9 database (2016) Downloads
Working Paper: Estimation of climate change damage functions for 140 regions in the GTAP9 database (2016) Downloads
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