Smallholders’ perception, access, and impacts of agricultural extension services on climate-smart agriculture in South Gondar Zone, Ethiopia

Abstract Agricultural extension services (AES) have been playing a vital role in technology adoption, improving agricultural productivity and food security of smallholders in developing countries like Ethiopia. Although the Ethiopian government has made substantial investments to increase the accessibility of the service, a significant number of the farming community are still unaddressed. However, studies on the perception of smallholders on its effectiveness and the effect of climatic and market shocks on smallholders’ access to this service are limited. The specific objectives of this study are to evaluate effectiveness perceptions, access, and the impact of AES on climate-smart agriculture (CSA) in the South Gondar Zone, Amhara Regional State, Ethiopia. A multi-stage sampling technique was employed to select 590 sample household heads, and data were collected using a structured questionnaire. Descriptive analysis, logistic regression, and a multivariate Probit (MVP) model were used as methods of analysis. The descriptive analysis showed that the majority of smallholders perceived AES as “effective” or “very effective” in terms of overall effectiveness (59%) and productivity (63%), but only 39% perceived it as “effective” or “very effective” when it comes to technology adoption. Furthermore, the logit model results revealed that farm characteristics (own farm size and number of plots), geographic factors (perceived soil fertility), institutional factors (farmer training center, farmer association, and radio), climatic shocks (perceived temperature increase and unwanted rain), and market shocks (increase in input price) significantly increase smallholders’ likelihood of seeking out AES. The chi-square test of independence and the MVP showed that AES consistently drives the adoption of CSA practices among smallholder farmers to bring sustainable agricultural development. The findings suggest that there is a significant limitation in technology adoption, farm characteristics, geographic factors, institutional factors, climatic, and market shocks affect smallholders’ access to AES, and the service has the potential to promote CSA practices in the study area. Thus, AES should be designed to be accessible, inclusive, and adaptive for it to effectively contribute to sustainable agricultural and rural development.

Authors

Institutions

Publication Details

Journal
Discover Sustainability
Published
2026-06-28
DOI
https://doi.org/10.1007/s43621-026-03993-1
Primary Topic
Agricultural Innovations and Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smallholders’ perception, access, and impacts of agricultural extension services on climate-smart agriculture in South Gondar Zone, Ethiopia

Mengistu Negussie Amare, Lamesgin Tebeje Workie, Yismaw Ayelign Mengistu, Melese Mulu Baylie et al.
Discover Sustainability
Agricultural Innovations and Practices
article

Smallholders’ perception, access, and impacts of agricultural extension services on climate-smart agriculture in South Gondar Zone, Ethiopia

Mengistu Negussie Amare, Lamesgin Tebeje Workie, Yismaw Ayelign Mengistu, Melese Mulu Baylie, Alemnew Getnet Bayeh, Workinesh Asradew Berhan
article en

Abstract

Abstract Agricultural extension services (AES) have been playing a vital role in technology adoption, improving agricultural productivity and food security of smallholders in developing countries like Ethiopia. Although the Ethiopian government has made substantial investments to increase the accessibility of the service, a significant number of the farming community are still unaddressed. However, studies on the perception of smallholders on its effectiveness and the effect of climatic and market shocks on smallholders’ access to this service are limited. The specific objectives of this study are to evaluate effectiveness perceptions, access, and the impact of AES on climate-smart agriculture (CSA) in the South Gondar Zone, Amhara Regional State, Ethiopia. A multi-stage sampling technique was employed to select 590 sample household heads, and data were collected using a structured questionnaire. Descriptive analysis, logistic regression, and a multivariate Probit (MVP) model were used as methods of analysis. The descriptive analysis showed that the majority of smallholders perceived AES as “effective” or “very effective” in terms of overall effectiveness (59%) and productivity (63%), but only 39% perceived it as “effective” or “very effective” when it comes to technology adoption. Furthermore, the logit model results revealed that farm characteristics (own farm size and number of plots), geographic factors (perceived soil fertility), institutional factors (farmer training center, farmer association, and radio), climatic shocks (perceived temperature increase and unwanted rain), and market shocks (increase in input price) significantly increase smallholders’ likelihood of seeking out AES. The chi-square test of independence and the MVP showed that AES consistently drives the adoption of CSA practices among smallholder farmers to bring sustainable agricultural development. The findings suggest that there is a significant limitation in technology adoption, farm characteristics, geographic factors, institutional factors, climatic, and market shocks affect smallholders’ access to AES, and the service has the potential to promote CSA practices in the study area. Thus, AES should be designed to be accessible, inclusive, and adaptive for it to effectively contribute to sustainable agricultural and rural development.

Discover Sustainability
Debre Tabor University (ET)
Zero hunger
Openalex Percentile: Top 4%
Agricultural Innovations and Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.