Data/hora: 11/06/2024 10:52:24

Provedor de dados: 	31	
País: 	United States	
Título: 	Agricultural Productivity and Anticipated Climate Change in Sub-Saharan Africa: A Spatial Sample Selection Model	
Autores: 	Ward,   Patrick S.; Florax,   Raymond J.G.M.; Flores-Lagunes,   Alfonso.	
Data: 	2010-05-04	
Ano: 	2010	
Palavras-chave: 	Agricultural Production; Climate Change; Applied Spatial Econometrics; Sample Selection; Generalized Method of Moments Estimation; Environmental Economics and Policy; Productivity Analysis; I3; Q18; C50.	
Resumo: 	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.	
Tipo: 	Conference Paper or Presentation	
Idioma: 	Inglês	
Identificador: 	http://purl.umn.edu/61635	
Relação: 	Agricultural and Applied Economics Association&gt;2010 Annual Meeting, July 25-27, 2010, Denver, Colorado

Selected Paper

11404	
Formato: 	48