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

P.S. Ward, R.J.G.M. Florax, A. Flores-Lagunes

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Using spatially explicit data, we estimate a cereal yield response function using a recently developed estimator for spatial error models when endogenous sample selection is of concern. Our results suggest that yields across Sub-Saharan Africa will decline with projected climatic changes, and that failing to control for sample selection and spatially correlated errors leads to biased estimates of some climate impacts. We also find evidence that the estimated elasticities are essentially no different from those of simpler models ignoring those features in the data. Simulation experiments indicate the extent to which improvements in irrigation can ameliorate the effects of climate change. © Oxford University Press and Foundation for the European Review of Agricultural Economics 2013.
Original languageEnglish
Pages (from-to)199-226
Number of pages27
JournalEuropean Review of Agricultural Economics
Volume41
Issue number2
DOIs
Publication statusPublished - 2014

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Africa South of the Sahara
Climate Change
Elasticity
Sub-Saharan Africa
Climate
Economics
climate change
agricultural economics
elasticity (mechanics)
irrigation
climate
sampling
Edible Grain
Sample selection model
Climate change
Agricultural productivity
Sample selection
Cereals
Estimator
Simulation experiment

Bibliographical note

10.1093/erae/jbt025

Cite this

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Climate Change and Agricultural Productivity in Sub-Saharan Africa: A Spatial Sample Selection Model. / Ward, P.S.; Florax, R.J.G.M.; Flores-Lagunes, A.

In: European Review of Agricultural Economics, Vol. 41, No. 2, 2014, p. 199-226.

Research output: Contribution to JournalArticleAcademicpeer-review

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