<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/">
<channel rdf:about="http://ir.haramaya.edu.et//hru/handle/123456789/155">
<title>Agribusiness &amp; Value Chain Management</title>
<link>http://ir.haramaya.edu.et//hru/handle/123456789/155</link>
<description/>
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<rdf:li rdf:resource="http://ir.haramaya.edu.et//hru/handle/123456789/8611"/>
<rdf:li rdf:resource="http://ir.haramaya.edu.et//hru/handle/123456789/8409"/>
<rdf:li rdf:resource="http://ir.haramaya.edu.et//hru/handle/123456789/8202"/>
<rdf:li rdf:resource="http://ir.haramaya.edu.et//hru/handle/123456789/7856"/>
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<dc:date>2026-06-17T19:45:58Z</dc:date>
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<item rdf:about="http://ir.haramaya.edu.et//hru/handle/123456789/8611">
<title>Impact of Small-Scale Irrigation Scheme on Potato Farmers Technical Efficiency and household Income in Lemu-Bilbilo District, Arsi Zone, Oromia National Regional State, Ethiopia</title>
<link>http://ir.haramaya.edu.et//hru/handle/123456789/8611</link>
<description>Impact of Small-Scale Irrigation Scheme on Potato Farmers Technical Efficiency and household Income in Lemu-Bilbilo District, Arsi Zone, Oromia National Regional State, Ethiopia
Tsegaye, Tamirat
production efficiency and income of potato grower’s smallholder farmers. This study, therefore, aims to identify factors affecting participation in SSI and its impact on household income and potato farmers technical efficiency in Lemu-Bilbilo district of Arsi zone, Oromia region, Ethiopia. The study used cross-sectional household data collected in 2022/2023 from 371 randomly selected sample households. Both descriptive statistics and econometrics model (stochastic frontier model and endogenous switching regression) were used. The results of the stochastic frontier model (SFA) shows that potato output was positively and significantly influenced by input variables (land, seed, labour and DAP for both irrigators and non-irrigators farms). The estimated technical efficiency scores for irrigators and non-irrigators were 65 and 62 percents, respectively, showing irrigators households were relatively more technically efficient in potato production than non-irrigators households in the study area. The results of probit model shows that participation in SSI was positively influenced by education, total livestock owned, farm size, extension contact and cooperative membership whereas market distance and irrigation water distance influenced participation in SSI negatively. Finally, the results obtained from the endogenous switching regression model showed that if irrigators had decided to not irrigate, their average income and technical efficiency would have decreased by 19617.97 ETB and 0.07%, respectively. Similarly, had non irrigators decided to irrigate, their average income and technical efficiency would have increased by 8240.41ETB and 0.03% respectively. The study recommends, policymakers and development organizations should consider small scale irrigation as main strategy to increase smallholder potato farmer’s technical efficiency and household income. This study also argues that, institutional and government assistance in the areas of education, extension service, infrastructure development (particularly access to markets), and cooperatives is critical.
96
</description>
<dc:date>2024-01-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://ir.haramaya.edu.et//hru/handle/123456789/8409">
<title>Market Chain Analysis of White Haricot Bean: The Case of Habro District, West Hararghe Zone, Oromia National Regional State, Ethiopia</title>
<link>http://ir.haramaya.edu.et//hru/handle/123456789/8409</link>
<description>Market Chain Analysis of White Haricot Bean: The Case of Habro District, West Hararghe Zone, Oromia National Regional State, Ethiopia
Aman, Mr. Mohammed; Bekele (PhD, Ketema
The study investigated market chain analysis of white haricot beans in the Habro district, analyzing the roles of market chain actors, market structure, conduct, performance, and factors influencing market participation using cross-sectional data from 352 farm households and 20 traders during the 2023-24 production year. Findings revealed a strong oligopolistic market structure with a concentration ratio (CR4) of 50.14% and non-transparent trader conduct due to a lack of organized market information systems. Approximately 62.5% of farmers participated in the market, with higher profitability observed when producers sold directly to primary cooperative rather than rural collectors. The Heckman two-stage model identified that factors such as sex, farm size, livestock holdings, frequency of extension contact, access to credit, cooperative membership, family size, transportation ownership, and off/non-farm income positively influenced the likelihood of market participation (Probit model), while farming experience, livestock holdings, access to credit, family size, education, quantity of beans supplied, and access to market information positively affected the extent of market participation (OLS model). Conversely, distance to the market, age of the household head, sex, and non-farm income negatively impacted the extent of participation. The study recommends policy interventions focused on capacity building through education, improving access to credit, enhancing extension services, promoting farmer group marketing, and improving infrastructure and market information dissemination to increase market efficiency and support greater participation in the white haricot bean market.
111
</description>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://ir.haramaya.edu.et//hru/handle/123456789/8202">
<title>ANALYSIS OF LIVE ANIMAL MARKET CHAIN: THE CASE OF  GURSUM DISTRICT, EAST HARARGHE ZONE, OROMIA NATIONAL  REGIONAL STATE, ETHIOPIA</title>
<link>http://ir.haramaya.edu.et//hru/handle/123456789/8202</link>
<description>ANALYSIS OF LIVE ANIMAL MARKET CHAIN: THE CASE OF  GURSUM DISTRICT, EAST HARARGHE ZONE, OROMIA NATIONAL  REGIONAL STATE, ETHIOPIA
JEMAL TAHIR MUMED; Dr.Kedir Jemal (PhD); Dr.Beyan Ahmed (PhD)
Live animals in the Gursum district contribute to the well-being of farmers by providing food, cash and &#13;
other advantage. However, the sector faces challenges such as a lack of knowledge about participants in &#13;
the animal market and animal supply to the market. This study aimed to examine the live animal market &#13;
chain in the Gursum district using both primary and secondary data. In 2022, data were collected from &#13;
150 randomly selected households and 58 sample selected traders. The analysis of the data collected &#13;
involves descriptive statistics and the econometrics of the Heckman two-stage selection model. According &#13;
to the survey findings, key participants in the animal market chain actors included consumers, hotels, &#13;
restaurants, small- and large-scale traders, cooperatives, local collectors, and producers. The study &#13;
employed the S-C-P approach to analyze the structure, conduct and performance of the animal market. &#13;
The district market exhibited a loose oligopolistic, with a concentration ratio of 34.63% for the top four &#13;
among animal traders. The primary barrier to entry for large-scale traders and local collectors was &#13;
identified as a lack of capital. Business traders employed cash on hand as their preferred payment &#13;
method, and negotiation was the main strategy for fixing prices. The market’s performance was assessed &#13;
using marketing margin, and the determination of margins was associated with the market. The study &#13;
identified six main alternative channels for live animal marketing in the study area. Among the animals &#13;
supplied to the district market, the largest quantity passed through producers to consumers (channel, I), &#13;
while the smallest number went through producer to collectors, then to small-scale traders, and finally to &#13;
ultimate consumers (channel, III). The total gross marketing margin was highest in the producer-to –&#13;
collector-to-large-scale traders’ channel, accounting 42.5%, and lowest in channel the producer-to collector- to- final consumer, accounting for 14.5%.The finding revealed that family size, extension &#13;
contact frequency, and access to veterinary services were positive and significant determinants of the &#13;
participation decision, while the age of the household head and distance to the market negatively and &#13;
significantly influenced the decision to participate. Furthermore, the results indicated that the quantity &#13;
supplied to the market was positively and significantly affected by family size, the number of livestock &#13;
owned and extension contact, while distance to the market had a negative and significant impact to &#13;
supply.Thestudyrecommendstheneedtoenhancemarketcompetitiveness,marketinfrastructures,improvetheca&#13;
pacityofproductivelabor and provision of awareness creation training towards animal trading business.
91
</description>
<dc:date>2024-04-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://ir.haramaya.edu.et//hru/handle/123456789/7856">
<title>MARKET CHAIN ANALYSIS OF RED PEPPER: THE CASE OF BOKE WOREDA, WEST HARARGHE ZONE, OROMIA NATIONAL REGIONAL STATE OF ETHIOPIA</title>
<link>http://ir.haramaya.edu.et//hru/handle/123456789/7856</link>
<description>MARKET CHAIN ANALYSIS OF RED PEPPER: THE CASE OF BOKE WOREDA, WEST HARARGHE ZONE, OROMIA NATIONAL REGIONAL STATE OF ETHIOPIA
Tasew Teshome; (PhD) Fresenbet Zeleke; (PhD) Aemro Tazeze
This study attempted to analyze the red pepper market chain in Boke district, the area is known&#13;
for its potential production of red pepper. However, the market chain of red pepper was not&#13;
well understood. The objectives of this study were to analyze the structure, conduct, and&#13;
performance of the red pepper market, identify market chain actors and their respective roles,&#13;
and analyze the determinants of red pepper supplied to the market. Data for the study were&#13;
collected from both primary and secondary sources. The primary data were collected by a&#13;
household survey using a pre-tested structured questionnaire and key informant interviews&#13;
using checklists. The data was collected from 313 farmers, 15 traders. The identified red pepper&#13;
market chain actors in the study area include producers, rural collectors, retailers, wholesalers,&#13;
and consumers. Six market channels were identified for red pepper marketing. The highest total&#13;
gross margin was 11.62%, and the highest gross marketing margin of producers was 95.94%.&#13;
The result of the market concentration ratio of Bedesa market and Boke Tiko market (51.94)&#13;
shows that red pepper transactions in the study area were operating under a strong oligopolistic&#13;
market structure. The results of the two-stage least squares regression model showed that the&#13;
quantity of red pepper supplied to the market was significantly and positively influenced by the&#13;
endogenous quantity of red pepper produced. In addition, distance from the nearest market,&#13;
none/off-farming income, land allocated for red pepper, credit, training, farm experience, and&#13;
education level significantly affect the volume of red pepper supplied to the market. Therefore,&#13;
based on the findings of the study policy interventions need to be made to increase the capacity&#13;
through training, farm experience, providing adult education opportunity program, enhance the&#13;
production of red pepper, road infrastructure development, providing credit access, invest on&#13;
on/none farm income and manage livestock.
110p.
</description>
<dc:date>2024-04-01T00:00:00Z</dc:date>
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