TY - GEN
AU - Kondylis, Florence
AU - Jones, Maria Ruth
AU - Loeser, John Ashton
AU - Mobarak, Mushfiq
AU - Stein, Daniel
TI - Learning from Self and Learning from Others Experimental Evidence from Bangladesh
PB - The World Bank
KW - Agricultural Extension
KW - Agricultural Knowledge and Information Systems
KW - Agricultural Technology Adoption
KW - Agriculture
KW - Agriculture and Farming Systems
KW - Bayesian Learning Model
KW - Climate Change and Agriculture
KW - Demonstration Plot
KW - Saline-Resistant Seed
KW - Teaching Farm Methods
PY - 2023
N2 - 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
CY - Washington, D.C
UR - http://slubdd.de/katalog?TN_libero_mab2
ER -
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