Seeing is Believing? Evidence from an Extension Network Experiment

59 Pages Posted: 20 Apr 2016

See all articles by Florence Kondylis

Florence Kondylis

World Bank - Development Research Group (DECRG)

Valerie Mueller

International Food Policy Research Institute (IFPRI)

Siyao Jessica Zhu

World Bank - Development Research Group (DECRG)

Date Written: August 1, 2014

Abstract

Extension is designed to enable lab-to-farm technology diffusion. Decentralized models assume that information flows from researchers to extension workers,and from extension agents to contact farmers (CFs). CFs should then train other farmers in their communities. Such a modality may fail to address informational inefficiencies and accountability issues. The authors run a field experiment to measure the impact of augmenting the CF model with a direct CF training on the diffusion of a new technology. All villages have CFs and access the same extension network. In treatment villages, CFs additionally receive a three-day, central training on the new technology. They track information transmission through two nodes of the extension network: from extension agents to CFs, and from CFs to other farmers. Directly training CFs leads to a large, statistically significant increase in adoption among CFs. However, higher levels of CF adoption have limited impact on the behavior of other farmers.

Keywords: Adaptation to Climate Change, Climate Change and Agriculture

Suggested Citation

Kondylis, Florence and Mueller, Valerie and Zhu, Siyao Jessica, Seeing is Believing? Evidence from an Extension Network Experiment (August 1, 2014). World Bank Policy Research Working Paper No. 7000, Available at SSRN: https://ssrn.com/abstract=2479665

Florence Kondylis

World Bank - Development Research Group (DECRG) ( email )

1818 H. Street, N.W.
MSN3-311
Washington, DC 20433
United States

Valerie Mueller

International Food Policy Research Institute (IFPRI) ( email )

1201 Eye St, NW,
Washington, DC 20005
United States

Siyao Jessica Zhu

World Bank - Development Research Group (DECRG)

1818 H. Street, N.W.
MSN3-311
Washington, DC 20433
United States

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