http://ir.bdu.edu.et/handle/123456789/1732 2026-07-13T14:52:16Z 2026-07-13T14:52:16Z Wubayehu Fekad http://ir.bdu.edu.et/handle/123456789/16948 2026-07-08T12:00:55Z 2025-06-01T00:00:00Z

Adoption of Apple Production and its Impact on Households' Income in Banja District, awi Zone, Amhara Region, Ethiopia Wubayehu Fekad Apple-based agroforestry plays a vital role in enhancing farmers' socioeconomic well-being. This study investigates the adoption of apple-production and assesses impact on household income in Banja district, using data from 341 households selected through a multi-stage sampling technique. Primary data were collected through household surveys and interviews, supplemented by secondary sources. Descriptive statistics were used for preliminary analysis, while binary probit and endogenous switching regression (ESR) models were employed to examine adoption drivers and estimate income impacts, respectively. Results indicate that 49% of sampled households adopted apple- production. Household size, frequency of extension contact, apple production training, farming experience, seedling access and cost, landholding size, and access to market pricing information are all important elements in promoting applebased agroforestry adoption. In contrast, older age of the household head and pest or disease prevalence had a negative impact on adoption. Adopters of apple production earned 42,283 ETB, while non-adopters would have experienced a 12,074 ETB decrease in income if they had adopted the practice. According to the findings suggest that policymakers, extension agents, and local agricultural offices should promote adoption through targeted capacity building and sustained extension support.

2025-06-01T00:00:00Z Tirngo Solomon Adamu http://ir.bdu.edu.et/handle/123456789/16947 2026-07-08T11:44:30Z 2024-07-01T00:00:00Z

Lime Technology Adoption and its Determinants: the Case of Debre Elias District, East Gojjam, Amhara, Ethiopia Tirngo Solomon Adamu Agriculture is the pillar of Ethiopia’s economy. However, it is constrained by soil acidity. Soil acidity is one of the problems that have resulted in low productivity in the country. Researchers and development practitioners tried to alleviate soil acidity and increase agricultural production. The adoption lime technology remains to be a promising strategy to reduce soil acidity, achieve food security and reduce poverty in Ethiopia. Despite the efforts to promote adoption in the country, the adoption rate has always been very low. So, it is essential to understand the determinants to the adoption of lime technologies. Thus, the primary goal of this study, which was carried out in the Debre Elias district, was to identify the basic factors influencing farmers' adoption and intensity of lime technology. Data was collected from 366 households using a multi-stage sampling technique from three sample kebeles in Debre Elias district. For the study, both primary and secondary data were employed. Descriptive statistics such as percentage, mean, and standard deviation and inferential statistics such as independent t-tests and chi-square tests were used. Double hurdle model was also used to analyze the determinants of lime adoption intensity in the study. The result of the study in the probit model shows that farm size, training, land ownership, and extension service significantly and positively affected lime adoption participation. Whereas, distance to input market are significantly and negatively affected lime adoption participation. The truncated model result shows that the age of the household head and livestock holding significantly and positively affected lime adoption intensity. Farm size, extension service, and household size are significantly and negatively affected lime adoption intensity. Soil acidity treatment technologies adoption improvement requires training for households, increasing expert support, sharing experiences between adopters and non-adopters, and maximizing the adoption rate of lime by solving problems were some important ideas.

2024-07-01T00:00:00Z Tigist Damtew http://ir.bdu.edu.et/handle/123456789/16946 2026-07-08T11:33:02Z 2024-07-01T00:00:00Z

Farmers’ Willingness to Pay For Improved Vegetable Extension Services in North mecha and fogera District: North west Ethiopia Tigist Damtew Modernizing the vegetable advisory service has significant promise in enhancing the production and profitability of smallholder vegetable farming in Ethiopia. However, current agricultural advisory service (AAS) operates as a public mandate that does not meet the demand due to extension agents’ overburdened and poor facilities at farmers’ training centers. Private paid extension agents has been proposed as one way to modernize the mostly strained public system that continues to be slow in addressing the need to transform smallholder farming to provide enough healthy foods. This study, therefore, investigated the willingness of smallholder vegetable farmers to pay for private improved vegetable advisory services using data collected from 393 household heads from two districts in northwestern Ethiopia. The study employed discrete choice experiments (DCE), with eighteen choice occasions generated using Ngene software that were blocked into three survey groups and 7074 choice observations. The several choice cards define the proposed extension service by varied attribute and attribute levels. The data was analyzed using a random parameter logit model. The results show heterogeneity in farmers’ willingness to pay for advisory services. Specifically, farmers of different socioeconomic backgrounds such as education status, gender and age exhibited heterogeneity over preferred features of vegetable advisory services. Small-scale vegetable farmers in Mecha and Fogera districts preferred receiving enhanced advisory services, which include frequent visits from experts and a more hands-on on-site advisory service, as opposed to cell-phone assisted and on-stop advisory methods. Likewise, farmers are more willing to invest in vegetable extension services that focus on fruity and root-tuber vegetables than leafy vegetables. Through these findings we propose that efforts to establish private enhanced advisories be situated within the contextual differences in preferences exhibited within the smallholder population.

2024-07-01T00:00:00Z Yibeltal Aragaw http://ir.bdu.edu.et/handle/123456789/16945 2026-07-08T11:19:04Z 2026-06-01T00:00:00Z

Optimal Allocation of Fish Stock in Lake tana, Ethiopia Yibeltal Aragaw Lake Tana has played an important role as a major livelihood source for many households, and contributed as a protein source by its fish stock. However, in Lake Tana, overfishing is the biggest problem that results from fish resources being exploited above their optimal amounts. Therefore, the study aimed to determine optimal allocation of fish stock in the lake and possibly identify major determinants of overfishing. To achieve the objectives of the study, A bioeconomic model was employed to predict or determine the optimal points (Maximum sustainable yield, maximum economic yield, open access yield, Effort of Maximum economic yield, effort of Maximum economic yield, and effort open access yield), and a Tobit model was also employed to identify determinants of over-fishing associated with CPUE. The Focus Group Discussion and Key Informant Interview were also employed to deal with some management options, possible solutions, provide justifications, and other important qualitative evidence. Household survey data were gathered using a multi-stage sample technical approach, utilizing cross-sectional data and three-year secondary fish stock data from BFALRC. As the study result shows, most fishers are practicing catch (fishing) above optimal points in each type of fish species. The MSY amount for Labeobarbus species, Nile Tilapia, and catfish were 534763.2 Kg, 534,645 kg, and 547600 kg, respectively, while MEY points are 356, 533.6 kg, 527,891.46 kg, and 438,369.75kg for Labeobarbus species, Nile Tilapia, and catfish, respectively. Among determinants of overfishing, adult equivalent, educational status, training, active fishing days, own total land, and the number of monofilament gillnets have a significant and positive effect on overfishing. Boat type, fishing experience, and TLU are negative and significant determinants of overfishing associated with Catch per unit effort. Therefore, refining (re - vised) the fishing rules and regulations of the Lake Tan fish resource management on major factors of overfishing can maintain the sustainability of fish stock in a lake for upcoming generations. Creating wide awareness, providing tentative training, developing seasonal income strategies, restricting the mesh size and type of gill nets, enforcing regulations on closed season fishing, and limiting the quantity and number of gill nets are possible solutions to resolve the overfishing problem. Therefore, policies, rules, and regulations of governmental interventions should be implemented to address and close the gaps in the lake.

2026-06-01T00:00:00Z