| dc.description.abstract |
Agricultural information is a vital resource for improving long-term productivity and
supporting rural, social, and industrial development. However, access and effective
utilization remain limited among smallholder farmers. This study investigates the utilization
of agricultural information and its impact on the welfare of smallholder farmers in the East
Gojjam Zone of Amhara, Ethiopia. Primary data were collected from 403 households using
a multi-stage sampling technique, supplemented by focus group discussions and key
informant interviews. Secondary data were obtained through document reviews and
electronic sources. Data were analyzed using descriptive statistics and advanced
econometric models, including Ordered Probit, Multivariate Probit, Propensity Score
Matching (PSM), and Logit models. The findings indicate that smallholder farmers
primarily access information via radio, the Office of Agriculture, extension workers, family
members, neighboring farms, and Farmer Training Centers (FTCs). The Ordered Probit
model shows that farm experience, media exposure, farm size, participation in FTCs, and
access to extension services significantly influence agricultural information utilization. The
Multivariate Probit model reveals that farm size, membership status, access to credit,
proximity to markets, extension services, total income, and willingness to share information
positively affect farmers’ preference for electronic information outlets. Conversely, frequent
market visits and shorter distances to development centers negatively influence this
preference. Educational level, total farm size, total income, and cooperative membership
positively affect the use of printed outlets, while family size and market visit frequency have
negative effects. Organizational outlet choice is positively influenced by cooperative
membership, income, distance to markets, and extension access, but negatively by marital
status and education. People-related information preference is strengthened by membership
status but reduced by large family size. The study also evaluates the impact of Agricultural
Information Utilization (AIU) on wheat productivity and income using PSM and
Endogenous Switching Regression (ESR). PSM minimized selection bias and showed that
users achieved, on average, 197 kg/ha more wheat and earned 8,370 ETB more income than
non-users. ESR results confirmed users gained 1,300 kg/ha and 14,000 ETB more compared
to their counterfactuals. Non-users were projected to gain 950 kg/ha and 18,000 ETB if they
adopted information use. These findings highlight the strong positive impact of AIU on
productivity and livelihoods. The study is grounded in the Diffusion of Innovations Theory,
Access to Information Theory, and the Sustainable Livelihoods Framework, which explain
how communication channels, access barriers, and institutional factors shape information
uptake and its effects. It recommends improving access and dissemination of agricultural
information through integrated communication strategies. Strengthening farmer training
and extension services especially via digital platforms and community networks can enhance
productivity and welfare. Policymakers and stakeholders should prioritize these actions to
close existing gaps and support rural development. |
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