Jäckering, Lisa

[["dc.bibliographiccitation.artnumber","jby049"],["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.journal","European Review of Agricultural Economics"],["dc.bibliographiccitation.lastpage","24"],["dc.contributor.author","Ogutu, Sylvester Ochieng"],["dc.contributor.author","Fongar, Andrea"],["dc.contributor.author","Gödecke, Theda"],["dc.contributor.author","Jäckering, Lisa"],["dc.contributor.author","Mwololo, Henry"],["dc.contributor.author","Njuguna, Michael"],["dc.contributor.author","Wollni, Meike"],["dc.contributor.author","Qaim, Matin"],["dc.date.accessioned","2019-07-31T09:50:27Z"],["dc.date.available","2019-07-31T09:50:27Z"],["dc.date.issued","2020"],["dc.description.abstract","We analyse how agricultural extension can be made more effective in terms of increasing farmers’ adoption of pro-nutrition technologies, such as biofortified crops. In a randomised controlled trial with farmers in Kenya, we implemented several extension treatments and evaluated their effects on the adoption of beans biofortified with iron and zinc. Difference-in-difference estimates show that intensive agricultural training can increase technology adoption considerably. Additional nutrition training helps farmers to better appreciate the technology’s nutritional benefits and thus further increases adoption. This study is among the first to analyse how improved extension designs can help to make smallholder farming more nutrition-sensitive."],["dc.identifier.doi","10.1093/erae/jby049"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16314"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/62234"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation.issn","0165-1587"],["dc.relation.issn","1464-3618"],["dc.relation.orgunit","Department für Agrarökonomie und Rurale Entwicklung"],["dc.rights","CC BY-NC 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by-nc/4.0"],["dc.title","How to make farming and agricultural extension more nutrition-sensitive: evidence from a randomised controlled trial in Kenya"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","657"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Agricultural Economics"],["dc.bibliographiccitation.lastpage","672"],["dc.bibliographiccitation.volume","50"],["dc.contributor.author","Jäckering, Lisa"],["dc.contributor.author","Gödecke, Theda"],["dc.contributor.author","Wollni, Meike"],["dc.date.accessioned","2019-12-04T11:43:12Z"],["dc.date.accessioned","2021-10-27T13:20:10Z"],["dc.date.available","2019-12-04T11:43:12Z"],["dc.date.available","2021-10-27T13:20:10Z"],["dc.date.issued","2019"],["dc.description.abstract","To date, little is known about how information flows within farmer groups and how extension interventions could be designed to deliver combined information on agriculture and nutrition. This study uses unique network data from 815 farm households in Kenya to investigate the structure and characteristics of agricultural and nutrition information networks within farmer groups. Dyadic regressions are used to analyze the factors influencing link formation for the exchange of agricultural and nutrition information. In addition, we apply fixed‐effects models to identify the characteristics of central persons driving information exchange in the two networks, as well as potentially isolated persons, who are excluded from information networks within their farmer groups. Our results show that nutrition information is exchanged within farmer groups, although to a limited extent, and mostly flows through the existing agricultural information links. Thus, diffusing nutrition information through agricultural extension systems may be a viable approach. Our findings further suggest that group leaders and persons living in central locations are important drivers in the diffusion of information in both networks and may thus serve as suitable entry points for nutrition‐sensitive extension programs. However, we also identify important heterogeneities in network characteristics. In particular, nutrition information is less often exchanged between men and women, and some group members are completely isolated from nutrition information exchange within their farmer groups. We derive recommendations on taking these differences in network structure and characteristics into account when designing nutrition‐sensitive extension programs."],["dc.identifier.doi","10.1111/agec.12516"],["dc.identifier.eissn","1574-0862"],["dc.identifier.issn","0169-5150"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16836"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/91944"],["dc.language.iso","en"],["dc.notes.intern","Migrated from goescholar"],["dc.relation.eissn","1574-0862"],["dc.relation.issn","1574-0862"],["dc.relation.issn","0169-5150"],["dc.relation.orgunit","Fakultät für Agrarwissenschaften"],["dc.rights","CC BY 4.0"],["dc.rights.access","openAccess"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject","Africa; communication networks; dyadic regressions; farmer groups; Kenya; nutrition-sensitive agriculture"],["dc.subject.ddc","630"],["dc.title","Agriculture–nutrition linkages in farmers’ communication networks"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1007"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","European Review of Agricultural Economics"],["dc.bibliographiccitation.lastpage","1030"],["dc.bibliographiccitation.volume","48"],["dc.contributor.author","Jäckering, Lisa"],["dc.contributor.author","Meemken, Eva-Marie"],["dc.contributor.author","Sellare, Jorge"],["dc.contributor.author","Qaim, Matin"],["dc.date.accessioned","2022-04-01T10:02:50Z"],["dc.date.available","2022-04-01T10:02:50Z"],["dc.date.issued","2021"],["dc.description.abstract","Abstract Written employment contracts may improve the conditions of agricultural workers in developing countries, but farmers as employers often prefer less formal oral arrangements. We evaluate whether farmers’ preferences, which are deeply rooted in traditional norms, can be influenced through a group awareness campaign. In a randomised experiment in Côte d’Ivoire, we show that such a campaign increases farmers’ preferences for written contracts and for contract features involving social benefits for workers. The campaign also increases farmers’ likelihood to initiate concrete steps towards signing a contract with their workers. We conclude that group-based interventions can change farmers’ traditional views about employment relations."],["dc.identifier.doi","10.1093/erae/jbaa035"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/106016"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-530"],["dc.relation.eissn","1464-3618"],["dc.relation.issn","0165-1587"],["dc.title","Promoting written employment contracts: evidence from a randomised awareness campaign"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]