Thesis Open Access
WondwosenTefera
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<identifier identifierType="DOI">10.20372/nadre:5762</identifier>
<creators>
<creator>
<creatorName>WondwosenTefera</creatorName>
</creator>
</creators>
<titles>
<title>"The case of BasonaWerana District in North Shoa Zone of AmharaRegionEthiopia"</title>
</titles>
<publisher>Zenodo</publisher>
<publicationYear>2019</publicationYear>
<dates>
<date dateType="Issued">2019-05-01</date>
</dates>
<resourceType resourceTypeGeneral="Text">Thesis</resourceType>
<alternateIdentifiers>
<alternateIdentifier alternateIdentifierType="url">https://nadre.ethernet.edu.et/record/5762</alternateIdentifier>
</alternateIdentifiers>
<relatedIdentifiers>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.20372/nadre:5761</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://nadre.ethernet.edu.et/communities/dbu</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://nadre.ethernet.edu.et/communities/zenodo</relatedIdentifier>
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<rightsList>
<rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
</rightsList>
<descriptions>
<description descriptionType="Abstract"><p>In Ethiopia, among other things, lack of finance is one of the fundamental problems hampering<br>
production, productivity and income of rural poor farm households. Since access to institutional<br>
finance is very limited, the majority of the poor are forced to search financial services through<br>
informal channels so forced them to remain in the vicious circle of poverty. The study was sought<br>
to ascertain use of formal financial credit and factors that affect smallholder farmer&rsquo;s access to<br>
formal credit. A multistage sampling method was employed to select ten out of thirty rural<br>
kebeles in BasonaWerana district and 422 farm households. Structured interview schedule was<br>
developed, pre-tested and used for collecting quantitative data for the study from the sampled<br>
household heads. Focus group discussion, and key informant interview were held to generate<br>
qualitative data. Descriptive statistics and logit model were used for analyzing quantitative data<br>
and the qualitative data was analyzed thematically. The output from the study indicates that 103<br>
(24.41%) of the sampled farm households were formal financial credit users, whereas the<br>
remaining (75.59%) were non-users. However, among the credit users 89(86.40%) reported as<br>
they were not satisfied with the credit amount. Farmers acknowledge group lending solves the<br>
problem of collateral requirement, but also mentioned as it has a sort of limitations in affecting<br>
the credit demand negatively. Moreover, the analysis using the logit model revealed that the<br>
demographic factors, age, sex and education status of the household heads, and majority of the<br>
institutional factors such as, lending procedure, interest rates, rigid repayment period and<br>
distance, as well attitude of household heads towards credit risk were the statistically significant<br>
determinants that affect smallholder farmers&rsquo; access to formal financial credit</p></description>
</descriptions>
</resource>
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