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"Tenaye, Anbes"
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Technical efficiency of smallholder agriculture in developing countries: The case of Ethiopia
The efficient use of inputs is indispensable in many developing countries, such as Ethiopia. This study assesses the level and determinants of technical efficiency of smallholder farmers using the true fixed effects (TFE) model. The TFE model separates inefficiency from unobserved heterogeneity. Empirical data come from four rounds of panel data (1994-2009) from the Ethiopian rural household survey (ERHS). A one-step maximum likelihood estimator was employed to estimate the Cobb-Douglas stochastic frontier production function and factors influencing technical efficiency. The results indicated that the major variables affecting technical efficiency are policy responsive, albeit to varying degrees: education of the household head, family size, farm size, land fragmentation, land quality, credit use, extension service, off-farm employment, and crop share. The analyses also identify variables amenable to policy changes in the production function: labor, traction power, farm size, seeds, and fertilizer. The mean household-level efficiency for the surveyed farmers is 0.59, indicating that farmers could improve technical efficiency. This implies that smallholder farms in Ethiopia can reduce the input requirement of producing the average output by 41% if their operations become technically efficient. This study recommends that the above policy variables be considered to make Ethiopian smallholder farmers more efficient.
Journal Article
New evidence using a dynamic panel data approach: Cereal supply response in smallholder agriculture in Ethiopia
Increasing agricultural production is essential to improving food availability and farm household incomes in developing economies. This study investigated the dynamic supply responses of major cereal crops to price and nonprice factors in Ethiopia using the Ethiopian Rural Household Survey (ERHS) panel dataset from 1994 to 2009. According to the Nerlovian expectation and adjustment approach in conjunction with the system GMM (generalized method of moments) estimator, both the planted areas and produced yields of major crops (teff, wheat, and barley) are influenced by price and nonprice factors in Ethiopia. The supply of major cereal crops is affected positively by their own prices and negatively by the prices of substitute crops. Nonprice factors such as education, farm size, fertilizer, land quality, and precipitation also affect supply of major cereals. Both the short-term and long-term acreage and yield response elasticities of teff and barley are positive. Moreover, the adjustment coefficients are positive for teff, barley, and wheat. The results suggest that Ethiopian farmers are capable of analyzing market signals and responding positively to price increases of staple crops. The findings also imply that the Ethiopian agricultural sector has been responsive to the cereal price increases observed since 2006. The remarkable growth of Ethiopian agriculture over recent decades is partly explained by the increase in agricultural prices. This study recommends that a fine-tuned balance between government interventions and market solutions is important, in addition to improving farmers' agronomic practices, for increasing agricultural production.
Journal Article
Technical efficiency of teff production in South Soddo District, Gurage Zone, Central Ethiopia Regional State, Ethiopia
by
Hussen, Seid Mohamed
,
Tenaye, Anbes
in
Agricultural management
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Agricultural practices
,
Agriculture
2025
Agriculture remains the backbone of the Ethiopian economy, but productivity levels must improve to address food insecurity. In particular, enhancing the productivity and efficiency of teff cultivation could play a significant role in achieving food security. This study was conducted in the South Soddo District of the Gurage Zone in Central Ethiopia to determine the technical efficiency of smallholder teff farmers and identify factors affecting their inefficiency. The research gap identified is the lack of simultaneous estimation of production technology and the covariates of technical inefficiency, which are often addressed separately in existing studies. Using a two-stage random sampling technique, 196 sample households were selected, and a semi-structured questionnaire was employed to collect data on teff production during the 2021/22 season. The study used the Stochastic Frontier Analysis (SFA) method, specifically the Cobb–Douglas production function, to analyze the data, allowing for the distinction between random errors and inefficiency. This study found significant variations in efficiency among teff-producing farmers, with a mean technical efficiency score of 79.6%. These results suggest that teff production can be increased by 20.4% without extra inputs. Factors affecting inefficiency include age, education, land fragmentation, credit, contact with external creditors, tropical livestock, and crop rotation. The study recommends measures to improve education, establish a benevolent environment for farmers to share experiences, enhance credit service provision and enable more consistent and regular extension contacts. By addressing these factors, this study aims to contribute to a more accurate understanding of the inefficiency of teff production, ultimately supporting efforts to enhance food security in Ethiopia.
Journal Article
Adoption of Orange-Fleshed Sweetpotato (OFSP) Technologies in Southern Ethiopia
by
Cherinet, Mihiretu
,
Gebeyehu, Setegn
,
Tenaye, Anbes
in
Agricultural biotechnology
,
Households
,
Nutrition
2025
Addressing malnutrition and vitamin A deficiency in Ethiopia necessitates innovative, food-based solutions such as biofortified crops. This study assesses the adoption rates of Orange-Fleshed Sweetpotato (OFSP) and examines the factors influencing adoption among project participants, non-participants, and counterfactual households in the former Southern Nations, Nationalities, and Peoples’ (SNNPs) region. Primary data were collected in 2023 through a survey of 990 households across six districts, and logistic regression was employed to identify key determinants of adoption. The findings reveal OFSP adoption rates of 53% among participants, 56% among non-participants, and 42% among counterfactual households, with significant variation across regions. Factors positively influencing adoption include household education, proximity to health centers and OFSP multiplication sites, frequent extension contact, and access to agricultural services. This study underscores the potential of newly released OFSP varieties to enhance food security and resilience in malnutrition-prone areas. The comparable adoption rates between participants and non-participants highlight significant spillover effects from long-term interventions, suggesting widespread community benefits. However, the limited adoption of complementary OFSP package components points to the need for enhanced training programs and streamlined technology dissemination strategies. These findings contribute to understanding how biofortified crops can be scaled effectively to improve food security and nutrition, offering valuable insights for policy and program design.
Journal Article