English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The study was aimed to investigate the coffee market outlets exists and factors affecting choice of the outlets in West and Kellem Wollega zones of Western Ethiopia. It used quantitative data collected from 189 households of the two administrative zones. Descriptive and inferential statistics was used to analyze the data. Multinomial logistic regression model was an econometric model used to explore socio demographic, economic and institutional factors related to farmers’ choice of market outlets. The result of the study revealed five main coffee market outlets on the study areas. Those include consumers, brokers, cooperatives, urban and rural traders. Rural traders, urban traders and cooperatives controlled 40%, 26% and 24% of the buni (dry) coffee markets respectively. The result also showed 81% of respondents sold their coffee with full market and price information. However, the source of information for them was informal sources such as observation, telephone and discussions. The econometric result revealed that distance to nearest village market positively and significantly affects farmers’ choice for rural traders as compared to urban traders. Households who didn’t got market information and who have no or less donkey stock preferred brokers relative to urban traders. However, frequency of extension service has negative impact on choice of farmers for rural traders (p<0.05). Thus, formal and non-formal market information dissemination mechanisms for efficient coffee marketing has to be given due emphasis.

Share of coffee market outlets among smallholder farmers in western Ethiopia