Agricultural Extension and Technology Adoption for Food Security: Evidence from Uganda

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Agricultural Extension and Technology Adoption for Food Security : Evidence from Uganda . / Pan, Yao; Smith, Stephen C.; Sulaiman, Munshi.

In: American Journal of Agricultural Economics, Vol. 100, No. 4, 07.2018, p. 1012-1031.

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@article{714c07830c28410dbd7fac953cfa5354,
title = "Agricultural Extension and Technology Adoption for Food Security: Evidence from Uganda",
abstract = "We evaluate causal impacts of a large-scale agricultural extension program for smallholder women farmers on technology adoption and food security in Uganda through a regression discontinuity design that exploits an arbitrary distance-to-branch threshold for village program eligibility. We find eligible farmers used better basic cultivation methods, achieved improved food security. Given minimal changes in adoption of relatively expensive inputs, we attribute these gains to improved cultivation methods that require low upfront monetary investment. Farmers also modified their shock-coping methods. These results highlight the role of information and training in boosting agricultural productivity among poor farmers and, indirectly, improving food security.",
keywords = "Agriculture, agricultural technology adoption, extension, food security, information, regression discontinuity, training, Uganda, FARMER FIELD SCHOOLS, REGRESSION-DISCONTINUITY DESIGN, WEED MANAGEMENT, PEST-MANAGEMENT, BURKINA-FASO, SRI-LANKA, IMPACT, KENYA, KNOWLEDGE, POVERTY",
author = "Yao Pan and Smith, {Stephen C.} and Munshi Sulaiman",
year = "2018",
month = "7",
doi = "10.1093/ajae/aay012",
language = "English",
volume = "100",
pages = "1012--1031",
journal = "American Journal of Agricultural Economics",
issn = "0002-9092",
number = "4",

}

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TY - JOUR

T1 - Agricultural Extension and Technology Adoption for Food Security

T2 - Evidence from Uganda

AU - Pan, Yao

AU - Smith, Stephen C.

AU - Sulaiman, Munshi

PY - 2018/7

Y1 - 2018/7

N2 - We evaluate causal impacts of a large-scale agricultural extension program for smallholder women farmers on technology adoption and food security in Uganda through a regression discontinuity design that exploits an arbitrary distance-to-branch threshold for village program eligibility. We find eligible farmers used better basic cultivation methods, achieved improved food security. Given minimal changes in adoption of relatively expensive inputs, we attribute these gains to improved cultivation methods that require low upfront monetary investment. Farmers also modified their shock-coping methods. These results highlight the role of information and training in boosting agricultural productivity among poor farmers and, indirectly, improving food security.

AB - We evaluate causal impacts of a large-scale agricultural extension program for smallholder women farmers on technology adoption and food security in Uganda through a regression discontinuity design that exploits an arbitrary distance-to-branch threshold for village program eligibility. We find eligible farmers used better basic cultivation methods, achieved improved food security. Given minimal changes in adoption of relatively expensive inputs, we attribute these gains to improved cultivation methods that require low upfront monetary investment. Farmers also modified their shock-coping methods. These results highlight the role of information and training in boosting agricultural productivity among poor farmers and, indirectly, improving food security.

KW - Agriculture

KW - agricultural technology adoption

KW - extension

KW - food security

KW - information

KW - regression discontinuity

KW - training

KW - Uganda

KW - FARMER FIELD SCHOOLS

KW - REGRESSION-DISCONTINUITY DESIGN

KW - WEED MANAGEMENT

KW - PEST-MANAGEMENT

KW - BURKINA-FASO

KW - SRI-LANKA

KW - IMPACT

KW - KENYA

KW - KNOWLEDGE

KW - POVERTY

U2 - 10.1093/ajae/aay012

DO - 10.1093/ajae/aay012

M3 - Article

VL - 100

SP - 1012

EP - 1031

JO - American Journal of Agricultural Economics

JF - American Journal of Agricultural Economics

SN - 0002-9092

IS - 4

ER -

ID: 29743262