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The distributional impact of climate change on rich and poor countries

Bibliographic Data

ID23344733
AuthorsRebecca Mendelsohn (0000-0002-3650-6201, Yale University), Robert Mendelsohn, Ariel Dinar (0000-0002-9457-7673, World Bank), Larry Williams, Larry J Williams (0000-0002-5554-5310, Electric Power Research Institute)
Year2006
Volume11
Issue2
Pages159-178
Publication date2006-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironment and Development Economics (JOURNAL)
Journal identifiersISSN: 1355-770X • E-ISSN: 1469-4395
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1355770x05002755
OpenAlexW2105389536
LanguageEN
Citations received146
References cited10

This paper examines the impact of climate change on rich and poor countries across the world. We measure two indices of the relative impact of climate across countries, impact per capita, and impact per GDP. These measures sum market impacts across the climate-sensitive economic sectors of each country. Both indices reveal that climate change will have serious distributional impact across countries, grouped by income per capita. We predict that poor countries will suffer the bulk of the damages from climate change. Although adaptation, wealth, and technology may influence distributional consequences across countries, we argue that the primary reason that poor countries are so vulnerable is their location. Countries in the low latitudes start with very high temperatures. Further warming pushes these countries ever further away from optimal temperatures for climate-sensitive economic sectors.

Climate change · Damages · Developing country · Development economics · Economic growth · Economic impact analysis · Economics · Global warming · Natural resource economics · Per capita · Per capita income · Political science · Climate Change Policy and Economics · Ecology · Economic Growth and Productivity · Fiscal Policy and Economic Growth

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Unique citing works146
Citations per year7,68
Citation span2007 - 2026 (20)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 133

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