http://ir.haramaya.edu.et//hru/handle/123456789/154 Mon, 20 Apr 2026 12:32:16 GMT 2026-04-20T12:32:16Z http://ir.haramaya.edu.et//hru/handle/123456789/8202 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 other advantage. However, the sector faces challenges such as a lack of knowledge about participants in the animal market and animal supply to the market. This study aimed to examine the live animal market chain in the Gursum district using both primary and secondary data. In 2022, data were collected from 150 randomly selected households and 58 sample selected traders. The analysis of the data collected involves descriptive statistics and the econometrics of the Heckman two-stage selection model. According to the survey findings, key participants in the animal market chain actors included consumers, hotels, restaurants, small- and large-scale traders, cooperatives, local collectors, and producers. The study employed the S-C-P approach to analyze the structure, conduct and performance of the animal market. The district market exhibited a loose oligopolistic, with a concentration ratio of 34.63% for the top four among animal traders. The primary barrier to entry for large-scale traders and local collectors was identified as a lack of capital. Business traders employed cash on hand as their preferred payment method, and negotiation was the main strategy for fixing prices. The market’s performance was assessed using marketing margin, and the determination of margins was associated with the market. The study identified six main alternative channels for live animal marketing in the study area. Among the animals supplied to the district market, the largest quantity passed through producers to consumers (channel, I), while the smallest number went through producer to collectors, then to small-scale traders, and finally to ultimate consumers (channel, III). The total gross marketing margin was highest in the producer-to – 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 contact frequency, and access to veterinary services were positive and significant determinants of the participation decision, while the age of the household head and distance to the market negatively and significantly influenced the decision to participate. Furthermore, the results indicated that the quantity supplied to the market was positively and significantly affected by family size, the number of livestock owned and extension contact, while distance to the market had a negative and significant impact to supply.Thestudyrecommendstheneedtoenhancemarketcompetitiveness,marketinfrastructures,improvetheca pacityofproductivelabor and provision of awareness creation training towards animal trading business. 91 Mon, 01 Apr 2024 00:00:00 GMT http://ir.haramaya.edu.et//hru/handle/123456789/8202 2024-04-01T00:00:00Z http://ir.haramaya.edu.et//hru/handle/123456789/7856 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 for its potential production of red pepper. However, the market chain of red pepper was not well understood. The objectives of this study were to analyze the structure, conduct, and performance of the red pepper market, identify market chain actors and their respective roles, and analyze the determinants of red pepper supplied to the market. Data for the study were collected from both primary and secondary sources. The primary data were collected by a household survey using a pre-tested structured questionnaire and key informant interviews using checklists. The data was collected from 313 farmers, 15 traders. The identified red pepper market chain actors in the study area include producers, rural collectors, retailers, wholesalers, and consumers. Six market channels were identified for red pepper marketing. The highest total gross margin was 11.62%, and the highest gross marketing margin of producers was 95.94%. The result of the market concentration ratio of Bedesa market and Boke Tiko market (51.94) shows that red pepper transactions in the study area were operating under a strong oligopolistic market structure. The results of the two-stage least squares regression model showed that the quantity of red pepper supplied to the market was significantly and positively influenced by the endogenous quantity of red pepper produced. In addition, distance from the nearest market, none/off-farming income, land allocated for red pepper, credit, training, farm experience, and education level significantly affect the volume of red pepper supplied to the market. Therefore, based on the findings of the study policy interventions need to be made to increase the capacity through training, farm experience, providing adult education opportunity program, enhance the production of red pepper, road infrastructure development, providing credit access, invest on on/none farm income and manage livestock. 110p. Mon, 01 Apr 2024 00:00:00 GMT http://ir.haramaya.edu.et//hru/handle/123456789/7856 2024-04-01T00:00:00Z http://ir.haramaya.edu.et//hru/handle/123456789/6022 VALUE CHAIN ANALYSIS OF WHEAT (Triticum aestivum): THE CASE OF DEMBECHA DISTRICT, WEST GOJJAM ZONE, ETHIOPIA Yonnas Addis; (PhD) Bosena Tegegn; (PhD) Mengestu Ketema Wheat market in Dembecha district experienced in poor market linkage, disproportional benefit share, and inadequate market supply and market alternatives. This study was aimed to analyze value chain actors’ interaction and their role, wheat market structure-conduct and performance, factors affecting market supply and market outlet choices of smallholder wheat producers in Dembecha district of West Gojjam zone. The study used cross-sectional data collected from a sample of 130 farm households selected through two-stage sampling techniques. Additionally, thirty traders, two bakers, one processor, four cooperatives and ten consumers were used to collect the data. Descriptive statistics and econometric models were used to analyze the data. Result from functional and institutional approach of value chain analysis showed that input providers, producers, cooperatives, collectors, wholesalers, retailers, and processors were found to be important wheat value chain actors. Market concentration ratio (CR4) at district level was found to be 39.78 percent and there were observed barriers to entry into wheat market. These structural characteristics indicate oligopolistic market structure of wheat market at District level. Buying, selling, and pricing strategies, which are indicators of market conduct, showed deviation of wheat market from competitive market norms. Analysis of marketing margins indicated that from total gross marketing margin processors received the highest (39.72%) marketing margin and retailers received the least marketing margins (4.85%) in wheat value chain. Wheat market is also characterized by relatively good producers’ share when they sale to consumers, collectors and wholesalers but they incurred high operating cost which reduces their profit level. Even though, wheat market in the study area deviate from competitive market norms as a result of oligopolistic market structure and conduct, profitability analysis of wheat market showed all market actors operated at profitable level. The results obtained from OLS regression analysis indicated that the quantity of improved seed varieties used, quantity of wheat produced, educational level of the household heads, lagged market price of wheat and frequency of extension contact ware significantly affecting the market supply of wheat positively as expected. The multivariate probit model results also revealed that the quantity of wheat sold, distance from nearest market nearest market, sex of household head, ownership transport facilities, non/off farm income, cooperative membership and bargaining power determine a market outlet choice decision of wheat producers in the study area. Encouraging producers to use recommended improved seed, strengthening provision of education and infrastructural development, strengthening extension service and increasing farmer’s awareness on different market outlet wheat produce to enhance producers benefit are recommended to strengthen wheat value chain development. 113p. Fri, 01 Jun 2018 00:00:00 GMT http://ir.haramaya.edu.et//hru/handle/123456789/6022 2018-06-01T00:00:00Z http://ir.haramaya.edu.et//hru/handle/123456789/5090 VALUE CHAIN ANALYSIS OF WHITE HARICOT BEAN (Phaseolus vulgaris L.): THE CASE OF GOROGUTU WOREDA, EAST HARARGHE ZONE, OROMIA NATIONAL REGIONAL STATE, ETHIOPIA Adem, Mohammed Haricot bean contributes to the national economy as a source of food, export commodity, source of income and employment. However, despite its importance for cash generating, the white haricot bean value chain inefficiency and production are influenced by low productivity, erratic rainfall, post-harvest loss and price fluctuations. This study is therefore instigated to identify the main actors and their role in value chains, analyze the market performance and identify determinants of white haricot bean production in the study area. This study used both primary and secondary data sources. The primary data were generated from 155 white haricot bean producers’ households, 4 wholesalers, 11 local assemblers and 3 exporters. Five market channels were identified for white haricot beans. It was estimated that 217.4 quintals of white haricot beans were supplied to the market by sampled farmers. Wholesalers and local assemblers were the main receivers of white haricot beans with percentage shares of 68.4% and 30%, respectively. The highest and lowest total gross marketing margin (TGMM) were 41.9% and 2.7% respectively. Out of 14 variables included in the regressed production function, seven variables were found to significantly affect the regressand. Accordingly, sex of household, land size allocated, off-farm income, and household size were found to influence production positively while credit utilization, age household, and plot distance had shown negative influence. The policy implications of this study findings are to have increase and diversify off-farm activities, credit provision is not only enough in white haricot bean production thus credit providers should followup the purposes loan used for so as to control loan diversion to unproductive purposes, improving the capacity of available production labor and gender consideration would have great contribution in increasing haricot bean production in the study area. 92 Tue, 01 Jun 2021 00:00:00 GMT http://ir.haramaya.edu.et//hru/handle/123456789/5090 2021-06-01T00:00:00Z