DETERMINANT OF OFF/NON- FARM INCOME DIVERSIFICATION IN RURAL ETHIOPIA: THE CASE OF GOBA DISTRICT, BALE ZONE, OROMIA, ETHIOPIA

ABSTRACT Rural households diversify their activities into off-farm and non-farm activities to increase income and wellbeing, reduce vulnerability, improved food security, and sustainable use of the natural resource base. This study, therefore, mainly strives to identify determinant of off/non-farm income diversification in rural Ethiopia in the case of Goba District. Primary data was gathered using structured survey questionnaires that carried out by well-trained enumerators and supervisors. Using multistage sampling design a total sample of 342 households were selected. Logit model was used to identify determinant of off/non-farm participation. The results suggested that sex of household head, education of household head, household size, number of livestock owned in TLU, access to electricity, mass media, and climate shock were found to be significant in influencing household’s decision to participate in off/non-farm income activities. The study has concluded that the households in the study area are likely to have a diversified income to off/non–farm activities when they have higher educational level, access to mass media, family size and access to electricity facilities. Therefore, the government should design appropriate policy and build human capital through education and skills training opportunities to motivate rural households to engage in income diversification to ensure income security, increased well-being, reduced vulnerability and sustainable use of natural resources.7

Institutions

Publication Details

Journal
National Academic Digital Repository of Ethiopia
Published
2025-07-25
DOI
https://doi.org/10.20372/nadre:12483
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

DETERMINANT OF OFF/NON- FARM INCOME DIVERSIFICATION IN RURAL ETHIOPIA: THE CASE OF GOBA DISTRICT, BALE ZONE, OROMIA, ETHIOPIA

National Academic Digital Repository of Ethiopia
Agricultural Innovations and Practices
article

DETERMINANT OF OFF/NON- FARM INCOME DIVERSIFICATION IN RURAL ETHIOPIA: THE CASE OF GOBA DISTRICT, BALE ZONE, OROMIA, ETHIOPIA

article en

Abstract

ABSTRACT Rural households diversify their activities into off-farm and non-farm activities to increase income and wellbeing, reduce vulnerability, improved food security, and sustainable use of the natural resource base. This study, therefore, mainly strives to identify determinant of off/non-farm income diversification in rural Ethiopia in the case of Goba District. Primary data was gathered using structured survey questionnaires that carried out by well-trained enumerators and supervisors. Using multistage sampling design a total sample of 342 households were selected. Logit model was used to identify determinant of off/non-farm participation. The results suggested that sex of household head, education of household head, household size, number of livestock owned in TLU, access to electricity, mass media, and climate shock were found to be significant in influencing household’s decision to participate in off/non-farm income activities. The study has concluded that the households in the study area are likely to have a diversified income to off/non–farm activities when they have higher educational level, access to mass media, family size and access to electricity facilities. Therefore, the government should design appropriate policy and build human capital through education and skills training opportunities to motivate rural households to engage in income diversification to ensure income security, increased well-being, reduced vulnerability and sustainable use of natural resources.7

National Academic Digital Repository of Ethiopia
Madda Walabu University (ET)
Zero hunger
Openalex Percentile: Top 40%
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.