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	Provedor de dados AgEcon (35) Autor Wiebe, Keith D. (3) Lerman, Zvi (2) Pender, John L. (2) Sedik, David J. (2) Ahearn, Mary Clare (1) Almeida, Gustavo Calixto Scoralick de (1) Bantilan, Ma Cynthia S. (1) Barrett, Christopher B. (1) Baráth, Lajos (1) Bayard, Budry (1) Binenbaum, Eran (1) Birol, Ekin (1) Bottum, John S. (1) Carter, Colin A. (1) Chen, Jing (1) Chu, Baojin (1) Cuerva Narro, Maria Carmen (1) Damon, Amy L. (1) Decimavilla, Esther (1) Diao, Xinshen (1) Mais... Palavra-chave Agricultural productivity (35) Productivity Analysis (16) Agricultural and Food Policy (11) Land Economics/Use (7) Community/Rural/Urban Development (5) Food Security and Poverty (5) Research and Development/Tech Change/Emerging Technologies (5) Crop Production/Industries (4) Environmental Economics and Policy (4) Q15 (4) Research Methods/ Statistical Methods (4) Agribusiness (3) Agricultural growth (3) Food security (3) International Development (3) International Relations/Trade (3) Q1 (3) Q18 (3) R14 (3) Agrarian reforms (2) Mais... Tipo do documento Conference Paper or Presentation (12) Journal Article (9) Report (8) Working or Discussion Paper (6) Ano 2011 (5) 2010 (1) 2009 (3) 2008 (5) 2007 (1) 2006 (5) 2005 (4) 2004 (2) 2003 (4) 2002 (1) 1999 (2) 1998 (1) 1988 (1) Mais... País United States (35) Idioma Inglês (33) Espanhol (2)		Registro completo Provedor de dados:  AgEcon País:  United States Título:  CLIMATE CHANGE AND AGRICULTURAL PRODUCTIVITY IN SUB-SAHARAN AFRICA: A SPATIAL SAMPLE SELECTION MODEL Autores:  Ward, Patrick S. Florax, Raymond J.G.M. Flores-Lagunes, Alfonso Data:  2011-10-04 Ano:  2011 Palavras-chave:  Agricultural productivity Climate change Spatial econometrics Sample selection Generalized method of moments Land Economics/Use Productivity Analysis Research Methods/ Statistical Methods C31 Q18 C50 Resumo:  Using data at a high spatial resolution, we estimate a cereal yield response function conditional upon climatological and topographical features using a recently developed estimator for spatial process models when sample selection is of concern. We control for localized spatial correlation in unobserved disturbances affecting both the selection to plant cereals as well as in the resulting conditional yield response. We find that cereal yields across Sub-Saharan Africa will decline with increasing temperatures resulting from global climate change, and that failing to control for sample selection leads to underestimation of these adverse effects. Tipo:  Working or Discussion Paper Idioma:  Inglês Identificador:  http://purl.umn.edu/116182 Relação:  Purdue University>Department of Agricultural Economics>Working Papers 11-4 Formato:  36 pages Fechar

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