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Indifferent to difference? Understanding the unequal impacts of farming technologies among smallholders. A review

dc.contributor.authorThuijsman, E.S.
dc.contributor.authorden Braber, H.
dc.contributor.authorAndersson, J.A.
dc.contributor.authorDescheemaeker, K.
dc.contributor.authorBaudron, F.
dc.contributor.authorLópez-Ridaura, S.
dc.contributor.authorVanlauwe, B.
dc.contributor.authorGiller, K.
dc.date.accessioned2022-06-21T08:31:00Z
dc.date.available2022-06-21T08:31:00Z
dc.date.issued2022
dc.identifier.citationThuijsman, E.S., den Braber, H., Andersson, J.A., Descheemaeker, K., Baudron, F., López-Ridaura, S., ... & Giller, K. E. (2022). Indifferent to difference? Understanding the unequal impacts of farming technologies among smallholders. A review. Agronomy for Sustainable Development, 42(3), 1-16.
dc.identifier.issn1774-0746
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7518
dc.description.abstractWith many of the world’s poor engaged in agriculture, agricultural development programmes often aim to improve livelihoods through improved farming practices. Research on the impacts of agricultural technology interventions is dominated by comparisons of adopters and non-adopters. By contrast, in this literature study, we critically review how technology evaluation studies assess differentiated impacts in smallholder farming communities. We searched systematically for studies which present agricultural technology impacts disaggregated for poor and relatively better-off users (adopters). The major findings of our systematic review are as follows: (1) The number of studies that assessed impact differentiation was startlingly small: we were able to identify only 85, among which only 24 presented empirical findings. (2) These studies confirm an expected trend: absolute benefits are larger for the better-off, and large relative benefits among the poor are mostly due to meagre baseline performance. (3) Households are primarily considered as independent entities, rather than as connected with others directly or indirectly, via markets or common resource pools. (4) Explanations for impact differentiation are mainly sought in existing distributions of structural household characteristics. We collated the explanations provided in the selected studies across a nested hierarchy: the field, the farm or household, and households interacting at the farming system level. We also consider impact differentiation over time. With this, we provide a structured overview of potential drivers of differentiation, to guide future research for development towards explicitly recognizing the poor among the poor, acknowledging unequal impacts, aiming to avoid negative consequences, and mitigating them where they occur.
dc.description.sponsorshipCGIAR Research Program on Maize
dc.description.sponsorshipNWO-WOTRO Strategic Partnership NL-CGIAR
dc.format.extent1-16
dc.language.isoen
dc.subjectTechnology Transfer
dc.subjectEvaluation
dc.subjectDistribution
dc.subjectIntervention
dc.titleIndifferent to difference? Understanding the unequal impacts of farming technologies among smallholders. A review
dc.typeJournal Article
cg.contributor.crpMaize
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationWageningen University and Research Centre
cg.contributor.affiliationInternational Maize and Wheat Improvement Center
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionCentral Africa
cg.coverage.hubCentral Africa Hub
cg.researchthemeNatural Resource Management
cg.identifier.bibtexciteidTHUIJSMAN:2022
cg.isijournalISI Journal
cg.authorship.typesCGIAR and advanced research institute
cg.iitasubjectFood Security
cg.iitasubjectNatural Resource Management
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.journalAgronomy for Sustainable Development
cg.notesOpen Access Article; Published online: 16 May 2022 Pdf not attaching
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1007/s13593-022-00768-6
cg.iitaauthor.identifierbernard vanlauwe: 0000-0001-6016-6027
cg.futureupdate.requiredNo
cg.identifier.issue3
cg.identifier.volume42
cg.contributor.acknowledgementsWe sincerely thank Bruno Gérard and Fred Kizito for their guidance throughout the study.


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