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Combining discounting and distributional weights. Lessons from climate change economic assessments
Swedish National Road and Transport Research Institute, Society, environment and transport, Transport economics. Örebro Universitet.ORCID iD: 0000-0002-4209-1997
2019 (English)In: Economics and Policy of Energy and the Environment, ISSN 2280-7659, Vol. 2019, no 1, p. 181-201Article in journal (Refereed) Published
Abstract [en]

In some cost benefit analysis (CBA) applications, such as those used for the valuation of climate change damage, distributional weights are used to account for diminishing utility of marginal consumption. This is usually done by means of intra-temporal distributional weights, which are combined with discounting to account for inter-temporal equity and efficiency. Sometimes region-specific discount rates have used to account for differences in projected growth across geographical areas. Here I show that if intra-temporal distributional weights are used in combination with endogenous and region-specific discount rates, then this will lead to a double counting of per capita economic growth. This problem has been known for some years now – in the tight circle of top climate economist – but the peer-reviewed literature has been rather implicit about the matter. The contribution of this paper is therefore to make the problem explicit by handle it formally, and to expand its generality somewhat. It is demonstrated – using the PAGE2002 model – that correct the way of combining distributional weights and discounting yield about 20-30% higher estimates than the incorrect method.

Place, publisher, year, edition, pages
Franco Angeli Edizioni , 2019. Vol. 2019, no 1, p. 181-201
National Category
Economics and Business Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:vti:diva-15295DOI: 10.3280/EFE2019-001012Scopus ID: 2-s2.0-85084291636OAI: oai:DiVA.org:vti-15295DiVA, id: diva2:1432360
Available from: 2020-05-27 Created: 2020-05-27 Last updated: 2025-09-11Bibliographically approved

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Asplund, Disa

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