Agricultural Productivity and Anticipated Climate Change in Sub-Saharan Africa: A Spatial Sample Selection Model

A cereal yield response function is estimated conditional upon environmental and topographical features to detect the effects of spatial heterogeneity and spatial dependence in explaining agricultural productivity across Sub-Saharan Africa. Controlling for direct and localized spillover effects, we then estimate the effect that projected changes in temperature and precipitation as a result of global climate change will have on agricultural production. We find that the estimated declines found in the climatological literature may overestimate actual declines, and factors such as spatial heterogeneity (i.e., country fixed effects) are profoundly more important to agricultural production.


Issue Date:
2010
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/61635
Total Pages:
48
JEL Codes:
I3; Q18; C50
Series Statement:
Selected Paper
11404




 Record created 2017-04-01, last modified 2017-11-08

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