Inefficiency effects modeled using the two-limit Tobit model revealed that household head age, level of education, cassava variety, extension contact, rural credit, off-farm activities involvement to generate income, and farm size were the most important factors for improving TE, AE, and EE efficiencies. It was discovered that TE was more important than AE as a source of benefit for EE.
The study found that land size, urea fertilizer application, and cassava planting cut all had a positive and significant effect on cassava production. This demonstrated that existing farm resources could increase average production efficiency by 26, 10, and 34%, respectively. The computed mean result showed technical efficiency (TE), allocative efficiency (AE), and economic efficiency (EE) levels of 74, 90, and 66%, respectively. The Cobb-Douglas (CDs) stochastic frontier production model was used to calculate production efficiency levels. Cross-sectional data from 158 households were collected using a systematic questionnaire. This study estimates cassava production efficiency and investigates the causes of inefficiency in southern Ethiopia. Cassava is increasingly being used as a food source as well as an industrial raw material in the production of economic goods. As a result, working to improve cassava production efficiency is the best option available. 7Environment Forest and Climate Change Commission, Addis Ababa, Ethiopiaĭue to capital constraints and land scarcity in developing countries, introducing new technology to boost productivity is difficult.6Faculty of Life Sciences and Sustainable Food Systems Research Centre, Rhine-Waal University of Applied Sciences, Kleve, Germany.5CGIAR Research Program on Climate Change, Agriculture, and Food Security (CCAFS), International Livestock Research Institute (ILRI), Nairobi, Kenya.4World Agroforestry (ICRAF), United Nations Avenue, Nairobi, Kenya.3Stockholm Environment Institute-Africa, World Agroforestry Centre, Nairobi, Kenya.2Center for Development Research (ZEF), University of Bonn, Bonn, Germany.1Department of Agricultural Economics, Wolaita Sodo University, Wolaita, Ethiopia.
Alula Tafesse 1 * Bekele Mena 1 Abrham Belay 2,3 Ermias Aynekulu 4 John W.
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