DC Field | Value | Language |
dc.contributor.author | ADMASU, TESFAKIDAN | - |
dc.date.accessioned | 2023-05-02T08:08:56Z | - |
dc.date.available | 2023-05-02T08:08:56Z | - |
dc.date.issued | 2018-06 | - |
dc.identifier.uri | . | - |
dc.identifier.uri | http://hdl.handle.net/123456789/7532 | - |
dc.description.abstract | This study aims to investigate the determinants of small-scale urban dairy farming in Sebeta Town.
It also identified both internal and external factors that affect small scale urban dairy farming in
the study area. This research used primary data that collected from 120 randomly selected small
scale urban dairy farmers by using both open and closed ended questionnaire method and
employed Binary logistic regression model. The study found that Age, experience, education level,
access to credit, extension service, financial income from non-dairy source, feed availability and
disease found to be statistically significant. According to the study's findings, barriers to urban
dairy farming included a lack of money, a water deficit, urbanization, a problem with market
prices, limited access, and a high cost of heifers or cows. The climate of Sebeta Town is woinadega,
which is suited for urban dairy farming, and no signs of natural catastrophe have been seen in the
study region, which offers the potential for urban dairy farming. In both the federal and local
administrations, the idea of urban agriculture has received the appropriate attention. The
establishment of veterinarian service center’s is necessary to balance supply and demand, lessen
the strain of the professionals, and decrease the obstacles that led small-scale dairy producers to
abandon their businesses. | en_US |
dc.language.iso | en | en_US |
dc.publisher | ST. MARY’S UNIVERSITY | en_US |
dc.subject | Urban dairy farming, binary logistic regression model, Urban Agriculture | en_US |
dc.title | DETERMINANTS OF SMALL SCALE URBAN DAIRY FARMING THE CASE OF SEBETA TOWN OF OROMIA, ETHIOPIA | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Agricultural Economics
|