The application of decision analysis modelling for investment targeting

cg.contacte.luedeling@cgiar.orgen_US
cg.contributor.centerWorld Agroforestry Center - ICRAFen_US
cg.contributor.centerInternational Livestock Research Institute - ILRIen_US
cg.contributor.crpCRP on Dryland Systems - DSen_US
cg.contributor.funderUnited States Agency for International Development - USAIDen_US
cg.contributor.projectTechnical Consortium for Resilience in the HOAen_US
cg.contributor.project-lead-instituteInternational Livestock Research Institute - ILRIen_US
cg.coverage.countryDJen_US
cg.coverage.countryETen_US
cg.coverage.countryKEen_US
cg.coverage.countrySOen_US
cg.coverage.countryUGen_US
cg.coverage.countrySDen_US
cg.coverage.countrySSen_US
cg.coverage.regionEastern Africaen_US
cg.coverage.regionNorthern Africaen_US
cg.creator.idde Leeuw, Jan: 0000-0002-2005-4351en_US
cg.subject.agrovocdroughten_US
cg.subject.agrovocresilienceen_US
dc.contributorShepherd, Keithen_US
dc.contributorde Leeuw, Janen_US
dc.contributorDownie, Katharineen_US
dc.creatorLuedeling, Eikeen_US
dc.date.accessioned2017-01-05T19:43:43Z
dc.date.available2017-01-05T19:43:43Z
dc.description.abstractIn June of 2013, the Technical Consortium for Building Resilience in the Horn of Africa (TC) hosted a three-day workshop to convene key experts. The purpose of this meeting was to further examine the potential for application of decision analysis tools in measuring impact of investment, prioritization of investment and assessment of return on investment with respect to resilience. A pilot decision model (preferably for a portfolio of investment alternatives) was developed, with the aim of documenting the model and approach and providing a report by December 2013. The meeting focused on the following key activities: 1.1. Exposing the group to the Applied Information Economics Methods (0.5 day instruction). 1.2. Clarifying the decision problems to be addressed drawing on country plans. Chose one pilot decision problem for developing and demonstrating the overall approach (1 day). 1.3. Defining dimensions of resilience in relation to the decision problems and identifying variables to measure them (1 day) 1.4. Defining important variables for the models. 2. Identifying a core group (including relevant stakeholders) who will contribute to further model development and provision of estimates. 3. Providing calibration training to the modeling group and anyone who will be providing estimates. 4. Developing a pilot decision model (preferably for a portfolio of investment alternatives) to further develop the approach. Document the model and approach into a report. Following the workshop, an exercise was undertaken to employ the decision analysis modeling methodology presented in the meeting in prioritization of decisions for investments or projects in the Horn of Africa. This approach is described in the following terms of reference.en_US
dc.formatPDFen_US
dc.identifierhttps://cgspace.cgiar.org/handle/handle.net/10568/65217en_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/UWCmwjFc/v/9df77b2150f706ac95e2240f2c2f7276en_US
dc.identifier.citationEike Luedeling, Keith Shepherd, Jan de Leeuw, Katharine Downie. (30/11/2014). The application of decision analysis modelling for investment targeting. Nairobi, Kenya: World Agroforestry Center (ICRAF).en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/5327
dc.languageenen_US
dc.publisherWorld Agroforestry Center (ICRAF)en_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceReport 10 (2014)en_US
dc.titleThe application of decision analysis modelling for investment targetingen_US
dc.typeReporten_US
dcterms.available2014-11-30en_US
mel.project.openhttps://mel.cgiar.org/projects/62en_US

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