RESUMEN

Frequent climate variability and change had the strongest direct influences on the availability and accessibility of food through reducing agricultural productivity and cropping patterns. Despite the Ethiopian government having made substantial efforts to boost production and productivity through the introduction of Climate Smart Agriculture Practices (CSAPs), the implementation of these practices by smallholder wheat farmers has remained low. This study, therefore, tried to investigate the determinants of the adoption of CSAPs in Northwestern Ethiopia. The primary data were gathered from 385 randomly selected wheat producers (including 702 plot-level observations). The CSAPs considered in this investigation were wheat row planting, crop rotation, and improved wheat varieties. The factors that influence the adoption of CSAPs were determined using a multivariate probit (MVP) model. The results revealed that the age of the sampled wheat producer farmers, education level of sampled wheat farmers, livestock holding, contact with development agents, credit access, off-farm activities participation, distance to input supply institution, slope of the plot, and soil fertility status of the plot were the major determinants of the adoption of CSAPs. The study suggested that policy-makers and stakeholders should strengthen farmers' skills by providing sufficient and effective short-term training. Moreover, encouraging mixed crop-livestock production systems, strengthening credit access, development agents, and access to near-input supply institutions are required to scale-up the adoption of CSAPs.

RESUMEN

Background: In Ethiopia, fruits pose a significant production and marketing challenge for farm households that significantly affect their farm profitability due to their perishability and unpredictable seasonal pricing. For instance, seasonally, market prices vary depending on the quality and quantity of fruit products available on the market. Stemming from this logical ground, this study is initiated with the objective of characterizing production systems and market performance of fruits in Ethiopia, focusing on apple and mango crops. Methods: A random sampling approach was used for producers and snowball sampling for traders when selecting survey participants. A pre-tested survey questionnaire was used for data collection. Descriptive statistics and market margins were used for statistical analysis. Results: Post-harvest wastage is preventing farmers from receiving anticipated revenue, implying that approximately 31.8 and 26.1% of the total mango and apple produce was lost, respectively. According to the survey results, there was no measurement consistency among farmers, local collectors, and small retailers. District level collectors received a higher margin share (42.66 and 40.18% of apple and mango, respectively) than other actors in the chain, which was unjustified given their contribution to the market chain. Farmers were comparatively hampered by the market since they earned the lowest share (33.34 and 15.08% of apple and mango, respectively) of consumer prices indicating that the apple and mango market chain performance is poor. As a consequence, these all deter farmers from producing in large quantities, quality, and also uncertainty (fair failure in the mind of farmers) in the marketing of apples and mangoes. Conclusions: The awareness of small-scale farmers about most of the agronomic practices including insect pests and diseases were very low. Hence, this study recommended that there is an urgent need from district agricultural offices to improve mango and apple production and marketing systems in the study districts.

RESUMEN

Production of value-added outputs from biomass residues represents an opportunity to increase the supply of renewable energy in Ethiopia. Particularly, agroforestry could provide biomass residues for improved bioenergy products. The aim of this study was to characterize the interest of growers to provide biomass residues to a hypothetical biomass feedstock market. This study relied on a survey conducted on a sample of 240 farmers. Although the awareness of potential biomass products was generally quite low, a majority of farmers expressed interest in supplying biomass residues, but the level of interest depended on certain individual socio-economic and demographic characteristics. For example, younger and female household heads were found to be more interested in participating in the hypothetical biomass market, as were households with an improved biomass stove, larger land holdings, and higher income levels. In addition, larger households and those that felt less vulnerable to firewood scarcity also expressed more interest. As a whole, the results imply that farmers, particularly those with younger and female heads of households, should be supported with programs tailored to ensure their inclusion in biomass supply chains. Respondents generally preferred farm-gate sales of biomass, so the collecting, baling, and transporting of woody residues need to be properly incentivized or new actors need to be recruited into the supply chain. Providing households with energy-efficient tools such as improved stoves would not only increase demand for biomass products, but also increase the amount of biomass residues that could be supplied to the market instead of used at home.

Asunto(s)

Agricultura Forestal , Energía Renovable , Población Rural , Biomasa , Comercio , Etiopía , Composición Familiar , Femenino , Humanos

RESUMEN

Farmers continue losing substantial quantities of grain during storage due to damages from pests including insects. Hermetic bags, being promoted in Ethiopia, could be viable alternatives to traditional methods and insecticides that are commonly used by farmers to store grain. However, the economics and determinants behind farmers' decisions to use different storage methods are poorly understood. This study sought to ascertain the economics of hermetic grain storage technology among 450 representative small-scale maize farmers in northwestern Ethiopia. Gross margin (GM), and the marginal rate of return (MRR) were employed to estimate the economic costs and benefits of storage methods, while a multivariate probit regression model was employed to analyze the determinants of farmers' decision to store maize with a given storage method. The results show that farmers used a combination of different storage techniques: 19.6% did not store grain, 87.8% used traditional methods with pesticide, and 66.7% used Purdue Improved Crop Storage (PICS) hermetic bags. Farmers who used hermetic bags also used other mentioned storage techniques. PICS had the highest GM (US$21.77 100 kg-1) and MRR (3.196), indicating that they were the most profitable. Moreover, a household could obtain an additional net cash flow of US$5.02 100 kg-1 PICS bag per season after 9.6 months of storage. Farmers' decisions to use PICS bags were influenced by several factors including access to information, the initial cost, and storage capacity of the technology. Thus, increasing awareness and improving supply chain efficiency to reduce the cost of the PICS bags would improve adoption rates.