scholarly journals Contribution of adoption of motorized water pump on the household farm income of smallholder farmers: Evidence from Lake Abaya and Chamo Basins of Gamo Gofa Zone, Southern Ethiopia

2018 ◽  
Vol 10 (1) ◽  
pp. 22-27
Author(s):  
Abebe Agidew ◽  
Shewa Amanuel
Keyword(s):  
Smallholder Farmers ◽  
Farm Income ◽  
Southern Ethiopia ◽  
Water Pump ◽  
Household Farm ◽  
Gamo Gofa

scholarly journals Determinants of Smallholder Farmers’ Participation in Improved Sheep Production: The Case of Doyogena District, Kembata Tembaro Zone, Southern Ethiopia

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Teketel Mathewos ◽  
Daniel Temesgen ◽  
Dereje Hamza ◽  
Haben Fesseha
Keyword(s):  
Focus Group ◽  
Qualitative Data ◽  
Smallholder Farmers ◽  
Research Field ◽  
Farm Income ◽  
Southern Ethiopia ◽  
Systematic Sampling ◽  
Study Region ◽  
Key Informants ◽  
Sheep Production

Background. Improved sheep production practices are becoming relevant, but smallholder farmers’ involvement in improved sheep production was below expectations and detailed studies were restricted on the determinants of the participation of smallholder farmers in improved sheep production. This research was conducted to examine the determinants of the involvement of smallholder farmers in enhanced sheep production in the study area. Methods. Multi-stages sampling techniques were used for this study. Firstly, improved sheep production had a big effect on the incomes of households of participants and nonparticipants. Finally, three kebeles were chosen by basic random sampling, and the third was picked for systematic sampling by 144 survey respondents. Quantitative and qualitative data were gathered from primary and secondary sources. Data collection techniques were undertaken by surveys, focus group discussions, and key informants. Quantitative data were used to evaluate descriptive statistics, such as average, frequency, standard deviation, scope, and inferential t-test and chi-square statistics, and a logit model. Qualitative data obtained from focus group discussion and key informants were analyzed by narrative and used for survey data triangulation. Results. Out of the 144 samples, 51 were participants and 93 were nonparticipants. Participation determinants found in this research field were household labor, age, communication frequency with developers, membership in cooperatives, land ownership, participation in credit, and off-farm income. Improved sheep production had a major effect on the incomes of households of participants and nonparticipants. Multiple determinants typically affect the role of smallholder farmers in raising sheep production. Conclusion. Future initiatives under a successful policy should aim at accelerating agricultural and rural growth by efficiently leveraging enhanced sheep capacity in particular in the study region and Ethiopia in general.

scholarly journals Exploring Smallholder Farmers’ Preferences for Climate-Smart Seed Innovations: Empirical Evidence from Southern Ethiopia

2021 ◽  
Vol 13 (5) ◽  
pp. 2786
Author(s):  
Shimelis Araya Geda ◽  
Rainer Kühl
Keyword(s):  
Smallholder Farmers ◽  
Preference Heterogeneity ◽  
Southern Ethiopia ◽  
Significant Preference ◽  
Experiment Data ◽  
Breeding Programs ◽  
Drought Tolerant ◽  
The Face ◽  
Mnl Model ◽  
Participatory Research Methods

Rapid plant breeding is essential to overcome low productivity problems in the face of climatic challenges. Despite considerable efforts to improve breeding practices in Ethiopia, increasing varietal release does not necessarily imply that farmers have access to innovative varietal choices. Prior research did not adequately address whether varietal attributes are compatible with farmers’ preferences in harsh environmental conditions. With an agricultural policy mainly aiming to achieve productivity maximization, existing breeding programs prioritize varietal development based on yield superiority. Against this background, we estimated a multinomial logit (MNL) model based on choice-experiment data from 167 bean growers in southern Ethiopia to explore whether farmers’ attribute preferences significantly diverge from those of breeders’ priorities. Four important bean attributes identified through participatory research methods were used. The results demonstrate that farmers have a higher propensity toward drought-tolerant capability than any of the attributes considered. The model estimates further show the existence of significant preference heterogeneity across farmers. These findings provide important insight to design breeding profiles compatible with specific producer segments. We suggest demand-driven breeding innovations and dissemination strategies in order to accelerate the adoption of climate-smart and higher-yielding bean innovations that contribute to achieve the national and global sustainability goals in Ethiopia.

scholarly journals Factors That Matter for Financial Inclusion: Evidence from Sub-Sharan Africa - The Zimbabwe Case

2021 ◽  
Vol 10 (6) ◽  
pp. 48
Author(s):  
David Mhlanga
Keyword(s):  
Smallholder Farmers ◽  
Multinomial Logistic Regression ◽  
Multinomial Logit Model ◽  
Financial Inclusion ◽  
Sub Saharan Africa ◽  
Farm Income ◽  
Smallholder Farming ◽  
Hand Off ◽  
Sub Saharan ◽  
The Government

The study intended to investigate the factors that are important in influencing the financial inclusion of smallholder farming households in Sub-Saharan Africa with a specific focus on Zimbabwe. Motivated by the fact that there is an increase in the evidence of the importance of financial inclusion in fighting poverty and the fact that by merely having a bank account, financial inclusion cannot be guaranteed, the study went further to interrogate factors that influence smallholder farmers to have a transaction account, to borrow and to have insurance. Since the dependent variable of financial inclusion had more than two categories, with three unordered categories, transaction account, savings/credit account, and insurance, the multinomial logistic regression was used to estimate the determinants of financial inclusion from these three categories of the dependent variable. The multinomial logit model results, with insurance as the reference category, indicated that the size of the household, transaction costs, gender and agricultural extension service were the factors influencing the demand for a household to open a transaction account. On the other hand, off-farm income and age of the household were the only two factors significantly influencing households to borrow. Therefore, it is imperative for, the government of Zimbabwe to come up with more policies that encourage farmers to participate in the formal financial market as financial inclusion can help to fight poverty and the general developments of societies.   Received: 28 April 2021 / Accepted: 31 August 2021 / Published: 5 November 2021

scholarly journals Is change worth it? The effects of adopting modern agricultural inputs on household welfare in Rwanda

2021 ◽  
Vol 16 (3) ◽  
pp. 216-236
Author(s):  
Aimable Nsabimana ◽  
Keyword(s):  
Market Access ◽  
Driving Forces ◽  
Farm Income ◽  
Household Welfare ◽  
Switching Regression ◽  
Adoption Decision ◽  
Advisory Services ◽  
Effective Dissemination ◽  
Farm Credit ◽  
Household Farm

This study investigates the driving factors that influence farmers’ decisions to adopt modern agricultural inputs (MAI) and how this affects farm household welfare in rural Rwanda. To account for heterogeneity in the MAI adoption decision and unobservable farm and household attributes, we estimate an endogenous switching regression (ESR) model. The findings reveal that size of land endowment, access to farm credit and awareness of farm advisory services are the main driving forces behind MAI adoption. The analysis further shows that MAI adoption increases household farm income, farm yield and equivalised consumption per capita. This implies that adopting MAI is the most consistent and potentially best pathway to reduce poverty among rural farmers. The study hence suggests that policymakers should align the effective dissemination of MAI information and farm advisory services, strengthen farm credit systems and improve market access – most crucially at affordable prices – among small-farmers throughout Rwanda.

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