Targeting agricultural research to benefit poor farmers: Relating poverty mapping to maize environments in Mexico

Mauricio R. Bellon, David Hodson, David Bergvinson, David Beck, Eduardo Martinez-Romero, Yinha Montoya

Research output: Contribution to journalArticlepeer-review

51 Scopus citations

Abstract

We explore approaches for targeting agricultural research to benefit poor farmers. Using small area estimation methods and spatial analysis, we generated high-resolution poverty maps and combined them with geo-referenced biophysical data relevant to maize-based agriculture in Mexico. We used multivariate classification and cluster analysis to synthesize biophysical data relevant for crop performance with rural poverty data. Results show that the rural poor are concentrated in particular regions and under particular circumstances. Formal maize germplasm improvement trials were largely outside the core areas of rural poverty and there was little evidence for direct spillover of improved germplasm. Agro-climatic classification used for targeting breeding is useful but often ignores some important factors identified as relevant for the poor. Combining this method with poverty mapping improves stratifying and targeting crop breeding efforts to meet the demands of resource-poor farmers. We believe this integrated approach will help increase benefits from agricultural research to poor rural communities.

Original languageEnglish (US)
Pages (from-to)476-492
Number of pages17
JournalFood Policy
Volume30
Issue number5-6
DOIs
StatePublished - Oct 2005
Externally publishedYes

Keywords

  • Biophysical data
  • Maize mega-environments
  • Mexico
  • Poverty mapping
  • Rural poor
  • Targeting crop breeding

ASJC Scopus subject areas

  • Food Science
  • Development
  • Sociology and Political Science
  • Economics and Econometrics
  • Management, Monitoring, Policy and Law

Fingerprint

Dive into the research topics of 'Targeting agricultural research to benefit poor farmers: Relating poverty mapping to maize environments in Mexico'. Together they form a unique fingerprint.

Cite this