Papers by Begashaw Meberate
ABSTRACT
The production of mango in Assosa is very high and the district appears to have compa... more ABSTRACT
The production of mango in Assosa is very high and the district appears to have comparative advantage with ideal growing conditions for mangos and high yielding trees, at the production level, however, the value chain is quite rudimentary with mainly subsistence level cultivation, harvesting and post-harvest handling techniques that limit the quality of the fruit. This research has the goal of determining the main mango value chain actors and their profit margin, and determinants of the marketed supply along the chain. In this study, two stage sampling technique was employed to select 384 sampled households from the producers and 26 traders sample household respondents were selected. Quantitative data were collected from both primary and secondary sources and analyzed using SPSS version 26 and STATA 16 software. The analysis involves simple descriptive statistics and multiple linear regression models. The major findings of the study indicate that out of the sampled households, the mean quantity of mango produced was 900kg while the mean quantity of mango supplied to the market was 848 kg. On the other hand, the mean price of mango sold in the preceding year was 7.5 birr and its price varies from Birr 2.5 to Birr 8.75 with standard deviation of 1.03. The market margin analysis also revealed that 36% of the market margin and 35.1% of the profit margin goes to the processors while 9.7% and 8.4% of the market margin and profit margin was taken by local collectors. Results from linear regression models indicated that out of 12 explanatory variables included in the model, eight of the variables namely educational level of the households, experience of the farmer on mango production, total land size, distance from the nearest market center, distance from the nearest development center, Membership in cooperatives, Mango marketing information, and amount of mango wastage had significantly affected the amount of mango supplied in the market at P<0.1 significance level. Thus, the study suggests a further improvement of value adding activities along the chain by different actors.
Key words: Value chain, Mango fruit, Marketing margin, Multiple linear regression, and Assosa District
![Research paper thumbnail of Determinants of the role of gender on adoption of row planting of tef [Eragrostis tef (Zucc.) Trotter] in central Ethiopia](https://attachments.academia-assets.com/99417229/thumbnails/1.jpg)
Ethiopian Journal of Science and Technology, 2019
Teff is a major indigenous cereal crop in Ethiopia, produced for household consumption and income... more Teff is a major indigenous cereal crop in Ethiopia, produced for household consumption and income generation. The determinant factors of adoption of teff row planting by female farmers vis-à-vis their male counterparts are not understood. Therefore, a survey was conducted to identify factors that determine adoption of teff row planting technology in a gender perspective in Moretna Jiru district, North Shoa, Ethiopia. A random sample of 131 male and 31 female headed households were randomly taken from four kebeles (lowest administrative unit) of the district. Primary data was collected from sample respondents and secondary data from various other sources. Descriptive statistics and Tobit regression were used in data analysis. Tobit regression was used to identify determinant factors of adoption. The findings of the marginal effect revealed that 81% of the female headed households (FHH) had favorable attitude towards the technology, a year increase in schooling increased the intensity of use of the technology by 39% and one ha increase in land holding size increased it by 30%. With regard to male headed households (MHH), positive attitude towards the technology increased the intensity of use of the technology by 39%, getting extension service by 38% and increase in education by 24%. In conclusion, extension agents should work hard with female headed farmers and ensure the implementation of teff row planting technology by strengthening FTCs via improved resources.
![Research paper thumbnail of Determinants of the role of gender on adoption of row planting of tef [Eragrostis tef (Zucc.) Trotter] in central Ethiopia](https://attachments.academia-assets.com/99417071/thumbnails/1.jpg)
African Journals Online, 2019
Teff is a major indigenous cereal crop in Ethiopia, produced for household consumption and income... more Teff is a major indigenous cereal crop in Ethiopia, produced for household consumption and income generation. The determinant factors of adoption of teff row planting by female farmers vis-à-vis their male counterparts are not understood. Therefore, a survey was conducted to identify factors that determine adoption of teff row planting technology in a gender perspective in Moretna Jiru district, North Shoa, Ethiopia. A random sample of 131 male and 31 female headed households were randomly taken from four kebeles (lowest administrative unit) of the district. Primary data was collected from sample respondents and secondary data from various other sources. Descriptive statistics and Tobit regression were used in data analysis. Tobit regression was used to identify determinant factors of adoption. The findings of the marginal effect revealed that 81% of the female headed households (FHH) had favorable attitude towards the technology, a year increase in schooling increased the intensity of use of the technology by 39% and one ha increase in land holding size increased it by 30%. With regard to male headed households (MHH), positive attitude towards the technology increased the intensity of use of the technology by 39%, getting extension service by 38% and increase in education by 24%. In conclusion, extension agents should work hard with female headed farmers and ensure the implementation of teff row planting technology by strengthening FTCs via improved resources.
![Research paper thumbnail of Determinants of the role of gender on adoption of row planting of tef [Eragrostis tef (Zucc.) Trotter] in central Ethiopia](https://attachments.academia-assets.com/90896163/thumbnails/1.jpg)
Ethiopian Journal of Science and Technology, 2019
Teff is a major indigenous cereal crop in Ethiopia, produced for household consumption and income... more Teff is a major indigenous cereal crop in Ethiopia, produced for household consumption and income generation. The determinant factors of adoption of teff row planting by female farmers vis-à-vis their male counterparts are not understood. Therefore, a survey was conducted to identify factors that determine adoption of teff row planting technology in a gender perspective in Moretna Jiru district, North Shoa, Ethiopia. A random sample of 131 male and 31 female headed households were randomly taken from four kebeles (lowest administrative unit) of the district. Primary data was collected from sample respondents and secondary data from various other sources. Descriptive statistics and Tobit regression were used in data analysis. Tobit regression was used to identify determinant factors of adoption. The findings of the marginal effect revealed that 81% of the female headed households (FHH) had favorable attitude towards the technology, a year increase in schooling increased the intensity of use of the technology by 39% and one ha increase in land holding size increased it by 30%. With regard to male headed households (MHH), positive attitude towards the technology increased the intensity of use of the technology by 39%, getting extension service by 38% and increase in education by 24%. In conclusion, extension agents should work hard with female headed farmers and ensure the implementation of teff row planting technology by strengthening FTCs via improved resources.
Drafts by Begashaw Meberate
Begashaw Meberate, 2023
As many agronomists do, I usually perform fieldwork in the rural areas of Ethiopia. In October 20... more As many agronomists do, I usually perform fieldwork in the rural areas of Ethiopia. In October 2009, I was collecting agronomic research data at Kara Jejeba, a village 5 kilometers northeast of Shewa Robit. At that time, it was not easy to perform my fieldwork as usual. Bees had stung me on my neck. The situation shocked me and I immediately wanted to find the hive where the source bees could be. Unfortunately, no bee hives were visible at a short distance from the field. I decided to find the route where the bees were flying. Later, I observed a swarm of bees flying over the top of a cement electric pole. They were moving in and out. The electric pole was hollow from top to bottom and it was cemented to the ground. Each opening found at the top served as an entrance
Non-Government Organizations O&M Operation and Maintenance SPSS Statistical Package Social Scienc... more Non-Government Organizations O&M Operation and Maintenance SPSS Statistical Package Social Science UN United Nations UN-HABITAT United Nations Human Settlements Program UNICEF United Nations Children's Emergency WHO World Health Organization WSA Water and Sewerage Authority WSDP Water Sector Development Program WSP Water and Sanitation Program WSS Water Supply and Sanitation WSSS Water Supply and Sanitation Services WTP Willingness to Pay WUP Water Utilization Perspectives WUPA Water Utility Partnership Africa
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Papers by Begashaw Meberate
The production of mango in Assosa is very high and the district appears to have comparative advantage with ideal growing conditions for mangos and high yielding trees, at the production level, however, the value chain is quite rudimentary with mainly subsistence level cultivation, harvesting and post-harvest handling techniques that limit the quality of the fruit. This research has the goal of determining the main mango value chain actors and their profit margin, and determinants of the marketed supply along the chain. In this study, two stage sampling technique was employed to select 384 sampled households from the producers and 26 traders sample household respondents were selected. Quantitative data were collected from both primary and secondary sources and analyzed using SPSS version 26 and STATA 16 software. The analysis involves simple descriptive statistics and multiple linear regression models. The major findings of the study indicate that out of the sampled households, the mean quantity of mango produced was 900kg while the mean quantity of mango supplied to the market was 848 kg. On the other hand, the mean price of mango sold in the preceding year was 7.5 birr and its price varies from Birr 2.5 to Birr 8.75 with standard deviation of 1.03. The market margin analysis also revealed that 36% of the market margin and 35.1% of the profit margin goes to the processors while 9.7% and 8.4% of the market margin and profit margin was taken by local collectors. Results from linear regression models indicated that out of 12 explanatory variables included in the model, eight of the variables namely educational level of the households, experience of the farmer on mango production, total land size, distance from the nearest market center, distance from the nearest development center, Membership in cooperatives, Mango marketing information, and amount of mango wastage had significantly affected the amount of mango supplied in the market at P<0.1 significance level. Thus, the study suggests a further improvement of value adding activities along the chain by different actors.
Key words: Value chain, Mango fruit, Marketing margin, Multiple linear regression, and Assosa District
Drafts by Begashaw Meberate
The production of mango in Assosa is very high and the district appears to have comparative advantage with ideal growing conditions for mangos and high yielding trees, at the production level, however, the value chain is quite rudimentary with mainly subsistence level cultivation, harvesting and post-harvest handling techniques that limit the quality of the fruit. This research has the goal of determining the main mango value chain actors and their profit margin, and determinants of the marketed supply along the chain. In this study, two stage sampling technique was employed to select 384 sampled households from the producers and 26 traders sample household respondents were selected. Quantitative data were collected from both primary and secondary sources and analyzed using SPSS version 26 and STATA 16 software. The analysis involves simple descriptive statistics and multiple linear regression models. The major findings of the study indicate that out of the sampled households, the mean quantity of mango produced was 900kg while the mean quantity of mango supplied to the market was 848 kg. On the other hand, the mean price of mango sold in the preceding year was 7.5 birr and its price varies from Birr 2.5 to Birr 8.75 with standard deviation of 1.03. The market margin analysis also revealed that 36% of the market margin and 35.1% of the profit margin goes to the processors while 9.7% and 8.4% of the market margin and profit margin was taken by local collectors. Results from linear regression models indicated that out of 12 explanatory variables included in the model, eight of the variables namely educational level of the households, experience of the farmer on mango production, total land size, distance from the nearest market center, distance from the nearest development center, Membership in cooperatives, Mango marketing information, and amount of mango wastage had significantly affected the amount of mango supplied in the market at P<0.1 significance level. Thus, the study suggests a further improvement of value adding activities along the chain by different actors.
Key words: Value chain, Mango fruit, Marketing margin, Multiple linear regression, and Assosa District