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dc.titleAgricultural Development through Evidence: Lessons from a Decade of IDB Impact Evaluations in Latin America and the Caribbean (2014-2025)
dc.contributor.authorSchling, Maja
dc.contributor.authorSalazar, Lina
dc.contributor.authorPerez Massard, Renee Gabriela
dc.contributor.authorBarbosa, Daniel
dc.contributor.authorChang Huaita, Rodrigo Ysaac
dc.contributor.authorLee, Dasun
dc.contributor.orgunitAgriculture and Rural Development Division
dc.coverageArgentina
dc.coverageBolivia
dc.coverageDominican Republic
dc.coverageGuatemala
dc.coverageHaiti
dc.coverageNicaragua
dc.coverageEcuador
dc.coveragePeru
dc.coverageCosta Rica
dc.coverageUruguay
dc.coverageThe Caribbean
dc.coverageCentral America
dc.coverageSouth America
dc.coverageLatin America
dc.date.available2026-07-29T00:07:00
dc.date.issue2026-07-29T00:07:00
dc.description.abstractThis study reviews a decade of rigorously evaluated IDB-supported agricultural interventions in Latin America and the Caribbean. The evidence base encompasses five major intervention categories: input and technology transfers, rural infrastructure, land regularization and administration, extension services and capacity-building, and animal and plant health. Five key findings emerge. First, productivity impacts are inherently dynamic and often require medium- and long-term data to fully capture the transformation of productive systems. Second, agricultural programs can generate substantial welfare gains, including improvements in food security, resilience, and inclusion, even in the absence of immediate increases in productivity or income. Third, heterogeneous impacts across gender and other population groups are highly relevant but remain insufficiently explored. Fourth, the measurement of spillover effects provides valuable insights into the broader development effectiveness of agricultural interventions beyond direct beneficiaries. Finally, combining survey data with remote sensing offers a powerful complementary approach that expands the scope of impact measurement and helps overcome many of the limitations of traditional field-based data collection. The study concludes with practical recommendations to strengthen the design, implementation, and evaluation of future agricultural development programs.
dc.format.extent48
dc.identifier.doihttp://dx.doi.org/10.18235/0014430
dc.identifier.urlhttps://publications.iadb.org/publications/english/document/Agricultural-Development-through-Evidence-Lessons-from-a-Decade-of-IDB-Impact-Evaluations-in-Latin-America-and-the-Caribbean-2014-2025.pdf
dc.language.isoen
dc.publisherInter-American Development Bank
dc.subjectProductivity
dc.subjectAgricultural Policies
dc.subjectFood Security
dc.subjectImpact Evaluation
dc.subjectAgricultural Productivity
dc.subjectIrrigation Infrastructure
dc.subjectRural Development
dc.subjectTechnology Adoption
dc.subjectScience and Technology
dc.subject.jelcodeO13 - Agriculture • Natural Resources • Energy • Environment • Other Primary Products
dc.subject.jelcodeQ16 - R&D • Agricultural Technology • Biofuels • Agricultural Extension Services
dc.subject.jelcodeQ18 - Agricultural Policy • Food Policy
dc.subject.jelcodeC93 - Field Experiments
dc.subject.jelcodeO22 - Project Analysis
dc.subject.keywordsAgricultural Policies;Impact Evaluation;Agricultural productivity;rural development;Latin America and the Caribbean
dc.typeWorking Papers
idb.identifier.pubnumberIDB-WP-01857
idb.operationRG-T4539
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