Evaluating value chain interventions: A review of recent evidence

cg.contributor.affiliationInternational Livestock Research Instituteen_US
cg.contributor.crpLivestock and Fishen_US
cg.howPublishedFormally Publisheden_US
cg.identifier.urlhttps://books.google.com.et/books?id=m_KmBAAAQBAJen_US
cg.isbn9291463531en_US
cg.number26en_US
cg.placeNairobi, Kenyaen_US
cg.subject.ilriVALUE CHAINSen_US
cg.subject.ilriAGRICULTUREen_US
cg.subject.ilriRESEARCHen_US
dc.contributor.authorKidoido, Michael M.en_US
dc.contributor.authorChild, K.en_US
dc.date.accessioned2014-09-17T18:59:18Zen_US
dc.date.available2014-09-17T18:59:18Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/42444en_US
dc.titleEvaluating value chain interventions: A review of recent evidenceen_US
dcterms.abstractValue chain interventions are rarely evaluated as rigorously as interventions in agricultural production or health. This is due to various reasons, including the intrinsic complexity of value chain interventions, intricate contextual support factors, presence of multilevel system actors, constant adaption to market and nonmarket forces and the cost associated with conducting an evaluation. This paper discusses a range of approaches and benchmarks that can guide future design of value chain impact evaluations. Twenty studies were reviewed to understand the status and direction of value chain impact evaluations. A majority of the studies focus on evaluating the impact of only a few interventions, at several levels within the value chains. Few impact evaluations are based on well-constructed, well-conceived comparison groups. Most of them rely on use of propensity score matching to construct counterfactual groups and estimate treatment effects. Instrumental variables and difference-in-difference approaches are the common empirical approaches used for mitigating selection bias due to unobservables. More meaningful value chain impact evaluations should be prioritized from the beginning of any project and a significant amount of rigor should be maintained; targeting a good balance of using model-based and theory-based approaches.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.audienceScientistsen_US
dcterms.bibliographicCitationKidoido, M. and Child, K. 2014. Evaluating value chain interventions: A review of recent evidence. ILRI Discussion Paper 26. Nairobi, Kenya: ILRI.en_US
dcterms.isPartOfILRI Discussion Paperen_US
dcterms.issued2014-09-10en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-NC-SA-3.0en_US
dcterms.publisherInternational Livestock Research Instituteen_US
dcterms.subjectresearchen_US
dcterms.subjectvalue systemsen_US
dcterms.subjectagricultureen_US
dcterms.typeWorking Paperen_US

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