Climate change and agricultural productivity in Sub-Saharan Africa: a spatial sample selection model

Patrick S. Ward, Raymond J.G.M. Florax, Alfonso Flores-Lagunes

Research output: Contribution to journalArticle

13 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)199-226
Number of pages28
JournalEuropean Review of Agricultural Economics
Volume41
Issue number2
DOIs
StatePublished - Apr 2014
Externally publishedYes

Keywords

  • agricultural productivity
  • climate change
  • generalised method of moments estimation
  • sample selection
  • spatial econometrics

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)
  • Economics and Econometrics

Fingerprint Dive into the research topics of 'Climate change and agricultural productivity in Sub-Saharan Africa: a spatial sample selection model'. Together they form a unique fingerprint.

  • Cite this