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dc.contributor.authorSekabira, H.
dc.contributor.authorTepa-Yotto, G.
dc.contributor.authorDjouaka, R.F.
dc.contributor.authorClottey, V.
dc.contributor.authorGaitu, C.
dc.contributor.authorTamo, M.
dc.contributor.authorKaweesa, Y.
dc.contributor.authorDdungu, S.P.
dc.date.accessioned2023-01-23T08:46:16Z
dc.date.available2023-01-23T08:46:16Z
dc.date.issued2022-07-19
dc.identifier.citationSekabira, H., Tepa-Yotto, G., Djouaka, R., Clottey, V., Gaitu, C., Tamò, M., ... & Ddungu, S.P. (2022). Determinants for deployment of climate-smart integrated pest management practices: a meta-analysis approach. Agriculture, 12(7), 1-19.
dc.identifier.issn2077-0472
dc.identifier.urihttps://hdl.handle.net/20.500.12478/8013
dc.description.abstractFollowing the development and dissemination of new climate-smart agricultural technologies to farmers globally, there has been an increase in the number of socio-economic studies on the adoption of climate-smart integrated pests’ management (CS-IPM) technologies over the years. In this study, we review empirical evidence on adoption determinants of CS-IPM technologies and identify possible science-policy interfaces. Generally, our review shows that socioeconomic and institutional factors are influential in shaping CS-IPM adoption decisions of farmers. More specifically, income was found to positively influence the adoption of CS-IPM technologies while land size owned influences CS-IPM adoption negatively. Registered land tenure (registered secure rights) positively influences CS-IPM technologies’ adoption, implying that efficient land markets that enable competitive and fair distribution and access to land, more so by the vulnerable but efficient smallholder producers do indeed increase the adoption of CS-IPMs technologies. Social capital, achieved via farmers’ organizations is also central in fostering CS-IPM technologies’ adoption, just as markets reforms that minimize market failures regarding access to credit, labor, and agricultural information, which could indirectly hinder farmers’ use of CS-IPM practices. Functional extension systems that improve farmers’ awareness of CS-IPM do also improve CS-IPM technologies’ adoption. However, the adoption of CS-IPM technologies in Ghana and Benin is slow-paced because of factors like lack of access to farm inputs that facilitate uptake of these technologies, lack of credit facilities, and limited extension services among others. Interestingly, our review confirms that CS-IPM technologies do indeed reduce and minimize the intensity of pesticide usage and foster ecosystem (environmental and human) health. Therefore, this review unearths strategic determinants of CS-IPM adoption and makes fundamental guidance around climate-smart innovations transfer and environmental policies that should be prioritized to curb environmental pollution and ensure agricultural ecosystems’ sustainability.
dc.description.sponsorshipWorld Bank
dc.description.sponsorshipAccelerating Impacts of CGIAR Climate Research for Africa
dc.format.extent1-19
dc.language.isoen
dc.subjectClimate Smart Agriculture
dc.subjectSocioeconomic Aspects
dc.subjectAgricultural Technology
dc.subjectIntegrated Pest Management
dc.titleDeterminants for deployment of climate-smart integrated pest management practices: a meta-analysis approach
dc.typeJournal Article
cg.contributor.crpGrain Legumes
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationUniversité Nationale d’Agriculture, Bénin
cg.contributor.affiliationCentre for Agriculture and Bioscience International
cg.contributor.affiliationMinistry of Food and Agriculture, Ghana
cg.contributor.affiliationLADS Agricultural Research Consult, Uganda
cg.coverage.regionAfrica
cg.coverage.regionAsia
cg.coverage.regionWest Africa
cg.coverage.countryBenin (Dahomey)
cg.coverage.countryGhana
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.researchthemeNutrition and Human Health
cg.researchthemePlant Production and Health
cg.identifier.bibtexciteidSEKABIRA:2022
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectClimate Change
cg.iitasubjectFood Security
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.iitasubjectSocioeconomy
cg.journalAgriculture
cg.notesOpen Access Journal; Published online: 19 Jul 2022
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.3390/agriculture12071052
cg.iitaauthor.identifierHARUNA SEKABIRA: 0000-0001-5675-7211
cg.iitaauthor.identifierGhislain Tepa-Yotto: 0000-0002-9650-8313
cg.iitaauthor.identifierVictor Attuquaye Clottey: 0000-0002-1455-5731
cg.iitaauthor.identifierManuele Tamò: 0000-0002-5863-7421
cg.futureupdate.requiredNo
cg.identifier.issue7
cg.identifier.volume12


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