2021
DOI: 10.1016/j.heliyon.2021.e07315
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Do smallholder farmers ensure resource use efficiency in developing countries? Technical efficiency of sesame production in Western Tigrai, Ethiopia

Abstract: This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, a… Show more

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Cited by 14 publications
(14 citation statements)
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“…The positive impact of age on TE agreed with the findings of [57]. The authors explain that when farmers' ages increase, their experiences in efficient use of resources increases as well.…”
Section: Discussionsupporting
confidence: 83%
“…The positive impact of age on TE agreed with the findings of [57]. The authors explain that when farmers' ages increase, their experiences in efficient use of resources increases as well.…”
Section: Discussionsupporting
confidence: 83%
“…If the crop is not harvested at the right time, more than 50% of the yield could be lost due to shattering (Qureshi et al, 2022). The study done by Mezgebo et al (2021) indicated that for a hectare of land, sesame requires around 89.33 mandays per season and 60% of smallholder farmers depend on hired labor during peak times (land cleaning, weeding, and harvesting). Commercial sesame farmers that do not have machinery also depend on hired laborers (Tadege et al, 2016).…”
Section: Key Inputs Of Sesame Productionmentioning
confidence: 99%
“…Sapkota, M used the Tobit model to determine the factors affecting corn planting when studying the factors related to the efficiency of corn seed production technology in the central mountainous area of Nepal [27]. Mezgebo, GK used a Tobit model to determine the influencing factors of sesame production [28]. Angon, E estimated the TE score through the input data encirclement analysis (DEA) model, and in the second stage, Tobit regression determined the determinants of the inefficiency of the evaluation technique [29].…”
Section: Production Technical Efficiency Research Toolmentioning
confidence: 99%
“…The DEA model used in this paper is a variable-scale model, which is used to analyze the technical efficiency of agricultural production to obtain the relative comprehensive technical efficiency, pure technical efficiency, and scale efficiency values and analyze the effectiveness of the selected decision-making unit on this basis. The DEA model usually has two forms, the first is the CCR model with constant return to scale, and the second is the BCC model with variable return to scale [28,29].…”
Section: Data Envelopment Analysis and Econometric Modelmentioning
confidence: 99%