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Cited by 246

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Measuring impacts and adaptations to climate change: a structural Ricardian model of African livestock management1

Seo, S. Niggol, Mendelsohn, Robert·2008·Agricultural Economics

Abstract

This article develops a new cross‐sectional methodology that explicitly incorporates adaptation into an analysis of the impacts of climate change. The methodology examines how a farmer will change choices of species and number to adapt to climate. The approach is applied to study Africa, where the impacts of climate change are expected to be the most severe. The results indicate that in warmer places, African farmers switch from beef cattle to more heat‐tolerant goats and sheep. In wetter places, farmers switch from cattle and sheep to goats and chickens. The results indicate that large commercial livestock operations specializing in beef cattle will be hard hit from climate change whereas small farmers who can easily substitute to goats and/or sheep will be more resilient.

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Crossref · 10.1111/j.1574-0862.2008.00289.x

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Metadata

Authors
Seo, S. N., & Mendelsohn, R.
Venue
Agricultural Economics
Publisher
Wiley
Published
2008-01-22
Volume
38
Issue
2
Pages
151-165
ISSN
  • 0169-5150 (ISSN-L)
  • 1574-0862
OpenAlex
W2154895706
Cited by
246
References
2
FWCI
18.04
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Measuring impacts and adaptations to climate change: a structural Ricardian model of African livestock management1. https://app.cochat.ai/papers/10.1111/j.1574-0862.2008.00289.x
The paper
Seo, S. N., & Mendelsohn, R. (2008). Measuring impacts and adaptations to climate change: a structural Ricardian model of African livestock management1. Agricultural Economics. https://doi.org/10.1111/j.1574-0862.2008.00289.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.