Impact methods to predict and assess contributions of technology (IMPACT): Final report

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dc.contributorImpact Assessment Groupen
dc.contributorTexas Agricultural Experiment Station (TAES)en
dc.contributorTexas A&M University Systemen
dc.contributorKenyan Minister of Agricultureen
dc.contributorKenya Agricultural Research Instituteen
dc.contributorInternational Livestock Research Instituteen
dc.contributorInstitute of Rural Economyen
dc.contributorInstitute of Sahelen
dc.contributor.authorTexas A&M Universityen
dc.contributor.departmentSustainable Agriculture and Natural Resource Management (SANREM) Knowledgebaseen
dc.coverage.spatialEast Africaen
dc.coverage.spatialWest Africaen
dc.date.accessioned2016-04-19T18:07:06Zen
dc.date.available2016-04-19T18:07:06Zen
dc.date.issued2000en
dc.descriptionMetadata only recorden
dc.description.abstractThis report covers research done for the USAID Office of Agriculture and Food Security of the Center for Economic Growth and Agriculture (Global Bureau). The overall objective was to develop and evaluate methods to assess the impact of the introduction and use of technology resulting from USAID investments in agriculture and natural resources for developing countries. A suite of integrated, interactive models was created for use in developing countries to assess the economic, environmental, and societal impact of such technologies. The research, conducted in East and West Africa, involved acquiring relevant databases and expert opinions through collaboration with national and regional partners; establishing a spatial framework using GIS methods to organize and analyze spatially explicit information; developing biophysical models to estimate production and environmental consequences of new technology; and adapting and using economic sector and farm-level models to estimate their economic consequences. Environmental consequences were estimated at field, area, and watershed levels. Methods were developed and evaluated to estimate the adaptation of new technology to geographically similar zones in areas that were both contiguous and noncontiguous to the locations where the technology was developed. The approach involved using research sponsored by USAID as case studies for developing and evaluating methodology. This provided both new methodologies and illustrative examples of the utility of the products. The project has proven the concept for the approach and, while the resulting products are judged to be imperfect, they are usable for the stated purposes. Further development is being continued under the Global Project of the SANREM CRSP.en
dc.format.mimetypeapplication/pdfen
dc.identifier147en
dc.identifier.citationUSAID Grant No. PCE-G-00-97-00051-00 October 1, 1997-December 31, 1999en
dc.identifier.urihttp://hdl.handle.net/10919/65233en
dc.language.isoen_USen
dc.publisherCollege Station, Tex.: Texas Agricultural Experiment Station. Impact Assessment Groupen
dc.relation.urihttp://cnrit.tamu.edu/IMPACT/impactreportall.pdfen
dc.subjectSocial impactsen
dc.subjectSustainable developmenten
dc.subjectSocial capitalen
dc.subjectLand use planningen
dc.subjectEnvironmental impactsen
dc.subjectFood securityen
dc.subjectGISen
dc.subjectAgenciesen
dc.subjectEconomic impactsen
dc.subjectModelingen
dc.subjectResource management toolsen
dc.subjectNatural resource managementen
dc.subjectAdoption of innovationsen
dc.subjectImpact methods to predict and assess contributions of technology (impact)en
dc.subjectInternational developmenten
dc.subjectDeveloping countriesen
dc.subjectDecision-making processen
dc.subjectTechnology developmenten
dc.subjectUSAIDen
dc.subjectInteractive modelsen
dc.subjectEcosystem Farm/Enterprise Scale Field Scale Governance Watersheden
dc.titleImpact methods to predict and assess contributions of technology (IMPACT): Final reporten
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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