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<title>Agricultural Economics, Agribusiness and Rural Development</title>
<link href="https://repository.ju.edu.et//handle/123456789/2892" rel="alternate"/>
<subtitle/>
<id>https://repository.ju.edu.et//handle/123456789/2892</id>
<updated>2026-04-17T10:04:39Z</updated>
<dc:date>2026-04-17T10:04:39Z</dc:date>
<entry>
<title>Determinants of Adoption of Improved Teff Variety and Its Impact on  Household Food Security in Gena District, Dawuro Zone, South West Region,  Ethiopia</title>
<link href="https://repository.ju.edu.et//handle/123456789/10102" rel="alternate"/>
<author>
<name>Tekalign Feyissa Ayenew</name>
</author>
<author>
<name>Amsalu Mitiku</name>
</author>
<author>
<name>Ibrahim Aliyi</name>
</author>
<id>https://repository.ju.edu.et//handle/123456789/10102</id>
<updated>2025-12-29T08:59:57Z</updated>
<published>2025-08-27T00:00:00Z</published>
<summary type="text">Determinants of Adoption of Improved Teff Variety and Its Impact on  Household Food Security in Gena District, Dawuro Zone, South West Region,  Ethiopia
Tekalign Feyissa Ayenew; Amsalu Mitiku; Ibrahim Aliyi
In Ethiopia, increasing household food security is largely dependent on the adoption of improved &#13;
teff variety. The main goal of this study was to examine how the adoption of improved teff variety &#13;
affected on the households food security. The data was collected from Gena Woreda of Dawuro &#13;
Zone, South West Region, Ethiopia in 2024. The survey consists of 219 sampled teff growers out &#13;
of whom 91 were improved teff variety adopters and 128 were non-adopters. The study employed &#13;
a two-stage sampling techniques, purposively selecting rural Kebeles followed by simple random &#13;
sampling of households. Sample households provided cross-sectional data for the study. The &#13;
study employed a probit model and an Endogenous Switching Regression (ESR) model to &#13;
investigate the factors influencing the adoption of improved teff variety and the resulting impact &#13;
on household food security. According to the findings of the probit model, the adoption of &#13;
improved teff variety was significantly and positively associated with the frequency of extension &#13;
contact, cooperative membership, and tropical livestock unit. However, the adoption of the &#13;
improved teff variety was negatively and significantly influenced by the sex of the household &#13;
head and the distance to the market. The impact results from the ESR models showed that if &#13;
adopters had not chosen to adopt the improved teff variety, their food consumption score and &#13;
household consumption expenditure would have decreased by 3.92 and 7612.77 ETB annually, &#13;
respectively. However, if non-adopters choose to change to the enhanced teff variety, their &#13;
household consumption expenditure and food consumption score increased by 6030.13 ETB &#13;
annually and 0.05, respectively. Additionally, the endogenous treatment effect model results &#13;
showed that the adoption of the improved teff variety had a significantly positive influence on the &#13;
household food consumption expenditure and score. Accordingly, promoting farmers to &#13;
membership of cooperatives, improving frequency of extension contact, creating reliable &#13;
information and awareness about improved farm technology, and timely agricultural inputs &#13;
supply will increase farmers’ decision to adopt improved teff variety in the area
</summary>
<dc:date>2025-08-27T00:00:00Z</dc:date>
</entry>
<entry>
<title>Factors Affecting the Use of Market Information by Wheat Farmers and Its Impact on Their Income: The Case of Omo Beyam District, Jimma Zone, and Southwest Ethiopia</title>
<link href="https://repository.ju.edu.et//handle/123456789/10099" rel="alternate"/>
<author>
<name>Rameta Waldegiorgis</name>
</author>
<author>
<name>Teferi Tolera</name>
</author>
<author>
<name>Guta Ragasa</name>
</author>
<id>https://repository.ju.edu.et//handle/123456789/10099</id>
<updated>2025-12-29T08:36:24Z</updated>
<published>2025-01-27T00:00:00Z</published>
<summary type="text">Factors Affecting the Use of Market Information by Wheat Farmers and Its Impact on Their Income: The Case of Omo Beyam District, Jimma Zone, and Southwest Ethiopia
Rameta Waldegiorgis; Teferi Tolera; Guta Ragasa
This study investigates factors affecting the use of market information by wheat farmers and &#13;
its impact on their income in Omo Beyam district, Jimma Zone, and Southwest Ethiopia. &#13;
Two-stage sampling procedures was chosen to select district and kebeles based on the high &#13;
potential of wheat production and the participation of producers in wheat marketing. The &#13;
study used data on 245 respondents collected through a structured questionnaire from Omo &#13;
Beyam district, Jimma Zone. Descriptive and Propensity score-matching inferential methods &#13;
were employed to analyze the data. Findings show that 59.19% of respondents use market &#13;
information, with family size as a significant determinant; larger households are more likely &#13;
to use market information. Proximity to markets also facilitates better access to timely &#13;
information, while education level significantly correlates with use rates, as literate farmers &#13;
outperform their illiterate counterparts. Gender disparities persist, with male farmers using &#13;
market information more frequently than females. Key factors influencing market information &#13;
use include extension participation, access to credit, frequency of market visits, and exposure &#13;
to mass media. A binary logit model analysis reveals five significant variables positively &#13;
affecting household income: education level, land allocated for wheat production, access to &#13;
credit, market visit frequency, and mass media access. To assess the impact of market &#13;
information use on household income, a propensity score matching (PSM) model is &#13;
employed. Among the matching algorithms tested, caliper matching with a bandwidth of 0.01 &#13;
is found to be the most effective. Results indicate that households using market information &#13;
experience an average income increase of 17785.55 ETB compared to non-users. These &#13;
findings underscore the importance of enhancing access to market information for improving &#13;
household incomes among smallholder farmers. The study recommended that searching and &#13;
using up-to-date market information is advisable to gain high profit and Policymakers should &#13;
implement comprehensive strategies that promote access to market information while &#13;
addressing educational and resource barriers to maximize economic benefits for farmers.
</summary>
<dc:date>2025-01-27T00:00:00Z</dc:date>
</entry>
<entry>
<title>Determinants Of   Improved Maize Seed Multiplication and Its Impacts on Farmers  Income in Omo-Nada District Jimma Zone, Oromia Region,  Southwest Ethiopia</title>
<link href="https://repository.ju.edu.et//handle/123456789/10098" rel="alternate"/>
<author>
<name>Nezif She Kemal</name>
</author>
<author>
<name>Tefari  Tolera</name>
</author>
<author>
<name>Dereje Hamza</name>
</author>
<id>https://repository.ju.edu.et//handle/123456789/10098</id>
<updated>2025-12-29T08:26:54Z</updated>
<published>2024-10-27T00:00:00Z</published>
<summary type="text">Determinants Of   Improved Maize Seed Multiplication and Its Impacts on Farmers  Income in Omo-Nada District Jimma Zone, Oromia Region,  Southwest Ethiopia
Nezif She Kemal; Tefari  Tolera; Dereje Hamza
Farm household participation in improved maize seed production program is more profitable &#13;
than non-improved maize seed, but it were constrained by inadequate and untimely supply of &#13;
inputs, inadequate extension contacts, unavailability of foundation seeds, inadequate capital, &#13;
perceived complexity of seed production techniques, high labour demand and market uncertainty &#13;
in that order. The objective of this research was to examine determinants of improved maize seed &#13;
multiplication and its impacts on participant farm household’s income in Omo Nada District, &#13;
Oromia region, Ethiopia. In this study, 336 household heads were randomly chosen using a two&#13;
stage sampling procedure in the first stage kebele was selected purposively and in the second &#13;
stage respondant’s were selectected randomly. The study was used both qualitative and &#13;
quantitative data type. Data were collected from both primary and secondary data sources. &#13;
Primary data were collected using structured questionnaire and secondary data were collected &#13;
from different sources. Data analysis was carried out using descriptive statistics and &#13;
econometric models. In order to analyze the data, both descriptive statistics and econometric &#13;
models (binary probit and propensity score matching) were used.  The determinants influencing &#13;
smallholder farmers' in improved maize seed production were found using the probit models. &#13;
The study showed that 45.83% of sampled households were participant in improved maize seed &#13;
while the remaining 54.17 % are not participants. The results of the probit models showed that, &#13;
market information, family size, education levels, credit access, training participation, maize output &#13;
previous year, and extension contact had a significant positive effect on household participation in &#13;
improved maize seed, while price of input affect negatively.  There was a significant disparity in &#13;
household income between those who were likely to participate in improved maize seed and &#13;
those who were not. According to the kernel matching estimates, participating in improved maize &#13;
seed had a causal impact on household income of about 3739.82 ETB. Hence, it is advisable to &#13;
implement interventions that will increase smallholder farmers' access to credit, agricultural &#13;
extension services, and training participation. The government and other stakeholders could &#13;
have developed the necessary policies to offer the rural population adequate and effective basic &#13;
educational opportunities, and development of productivity enhancement technique.
</summary>
<dc:date>2024-10-27T00:00:00Z</dc:date>
</entry>
<entry>
<title>Analysis of Smallholder Farmers’ Participation in Off-farm Activities: The  Case of Tole District, South West Shoa Zone,  Oromia Region, Ethiopia</title>
<link href="https://repository.ju.edu.et//handle/123456789/10085" rel="alternate"/>
<author>
<name>Dechasa Edasa</name>
</author>
<author>
<name>Yadeta Bekele</name>
</author>
<author>
<name>Alemayehu Oljira</name>
</author>
<id>https://repository.ju.edu.et//handle/123456789/10085</id>
<updated>2025-12-24T06:46:16Z</updated>
<published>2024-06-27T00:00:00Z</published>
<summary type="text">Analysis of Smallholder Farmers’ Participation in Off-farm Activities: The  Case of Tole District, South West Shoa Zone,  Oromia Region, Ethiopia
Dechasa Edasa; Yadeta Bekele; Alemayehu Oljira
Poverty in rural areas of Ethiopia has its root, in low productivity, landlessness and erratic &#13;
weather dominant areas. Small and fragmented farm size coupled with low level of &#13;
technology, soil degradation and poor infrastructure, have reduced the capacity of small &#13;
holder farmers to undertake long term investment on the farm. Therefore off-farm activities &#13;
provide employment right in their own and also supplement agricultural incomes. This study &#13;
investigated the factors that influence smallholder farmers' participation from off-farm &#13;
activities among smallholder farmers in Tole District. Semi-Structured questionnaires were &#13;
utilized to gather data for the study from 154 randomly selected farm households. Thus, a &#13;
cross-sectional research design that utilized both descriptive and inferential statistics was &#13;
used. The Heckman’s two stage models were used to identify the variables that affect &#13;
smallholder farmers' participation in off-farm activities and the total level annual income they &#13;
derive from those activities respectively. Results show that about 52.6% of smallholder &#13;
farmers engaged in off-farm activities. The first-stage probit model result revealed that the &#13;
likelihood of engagement in off-farm activities in the research area is significantly influenced &#13;
by sex, age, and distance to the main market, educational attainment, and extension contact. &#13;
The Heckman’s second stage model result showed that family size was found to be adversely &#13;
related, but livestock ownership, experience, training, and cooperative membership were &#13;
significant and favorably related to the income level of participant sample farm households. &#13;
There was a significant difference in household income between those who engaged in off&#13;
farm activity and those who just relied on agriculture. Concerned stakeholders and &#13;
government organizations are recommended to identify the numerous off-farm activity &#13;
categories and provide support with the knowledge and expertise of these categories to help &#13;
smallholder farmers operate more successfully. Furthermore, they might be required to &#13;
develop appropriate strategies and policies to improve, which would increase the &#13;
effectiveness of smallholder farmers.
</summary>
<dc:date>2024-06-27T00:00:00Z</dc:date>
</entry>
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