Language:
English
Pages:
1 Online-Ressource (107 pages)
Parallel Title:
Erscheint auch als Kondylis, Florence Learning from Self and Learning from Others: Experimental Evidence from Bangladesh
Keywords:
Agricultural Extension
;
Agricultural Knowledge and Information Systems
;
Agricultural Technology Adoption
;
Agriculture
;
Agriculture and Farming Systems
;
Bayesian Learning Model
;
Climate Change and Agriculture
;
Demonstration Plot
;
Saline-Resistant Seed
;
Teaching Farm Methods
Abstract:
Can decentralizing demonstration accelerate learning about new technologies This paper randomizes access to a fixed demonstration kit for new flood-saline-resilient seeds across villages in Bangladesh, with demonstration either by a single farmer or spread across many farmers. In the short run, higher learning from self and others under decentralization increases technology adoption. In the long run, the impacts of any demonstration persist, but the additional impacts of decentralization vanish. A Bayesian model of learning the returns to a new technology suggests belief dispersion caused noisy adoption along the learning path, and farmers' expected gains from demonstration are four times higher under decentralization
DOI:
10.1596/1813-9450-10545
URL:
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