dc.contributor.author |
Ongwech, Wadeya Lennox |
|
dc.contributor.author |
Obel-Gor, Christopher |
|
dc.contributor.author |
Otiende, Millicent Adhiambo |
|
dc.date.accessioned |
2023-03-10T07:29:23Z |
|
dc.date.available |
2023-03-10T07:29:23Z |
|
dc.date.issued |
2020-11 |
|
dc.identifier.citation |
Ongwech, W. L., Gor, C., & Otiende, M. A. (2020). Determinants of credit access among smallholder dairy farmers in Kinangop sub-county, Kenya. |
en_US |
dc.identifier.issn |
2321 - 7847 |
|
dc.identifier.uri |
http://ir-library.kabianga.ac.ke/handle/123456789/520 |
|
dc.description |
Article Research on Determinants of Credit Access among Smallholder Dairy Farmers In Kinangop Sub-County, Kenya |
en_US |
dc.description.abstract |
Dairy farming plays a major role in the Kenyan agricultural sector as it is dominated by smallholder
farmers who contribute approximately 80 per cent of the total milk production. In Kinangop Sub County,
there are many credit service providers however, not all smallholder dairy farmers have benefited from
such services, instead smallholder dairy farmers have continued to experience challenges such as limited
access to financial services. This study therefore analyzed the determinants of credit access among
smallholder dairy farmers in Kinangop Sub-County using a binary logistic regression model. Following
this, the marginal effects of the predictor variables on the likelihood of accessing credit were estimated. A
total of 230 respondents were sampled from a population of 35,840 smallholder dairy farmers using both
stratified and simple random sampling techniques and both structured and semi structured questionnaires
were used to collect data. The study adopted descriptive survey research design. Descriptive analysis
revealed that majority: 59.57% of smallholder dairy farmers were males, 69.57% were married and had a
mean age of 39.4 years. The average household size was 4 members per household. Formal schooling was
also attained by the respondents, majority having an average of about 8 years of schooling. On average
farmers had 2 dairy cattle per household, produced 341litres of milk per month and had 11 years of
farming. The binary logistic regression analysis and the marginal effect calculation revealed marital
status, years of schooling, savings frequency, dairy farming as a primary occupation, financial education,
association membership and number of dairy cattle as the significant determinants of credit access. The
study therefore concluded that there were significant determinants of credit access in the study area and
recommended that formulating policies geared towards enhancing educational attainment of farmers
would be vital in enhancing credit accessibility to farmers in the study area. There is also need for the
Government and other stakeholders to encourage dairy farmers to join farmer based associations and
eliminate stringent collateral barriers and bureaucracies that tend to discourage smallholder dairy farmers
from accessing and participating in different credit schemes. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
EPRA International Journal of Agriculture and Rural Economic Research (ARER)- Peer-Reviewed Journal |
en_US |
dc.subject |
Credit access |
en_US |
dc.subject |
Determinants, |
en_US |
dc.subject |
Smallholder dairy farmers |
en_US |
dc.subject |
Kinangop Sub-County |
en_US |
dc.title |
Determinants of Credit Access among Smallholder Dairy Farmers In Kinangop Sub-County, Kenya |
en_US |
dc.type |
Article |
en_US |