Agriculture is the backbone of the Ethiopian economy on which 80% of Ethiopians base their livelihoods. Technical efficiency is the level to which the maximum possible output is achieved from a given combination of agricultural production inputs. This study aimed to analyze the level of technical efficiency and identify sources of inefficiency among tef cultivating farmers in Walmara district, Ethiopia. The study was conducted based on primary data collected from 261 sample households. For the analysis of collected data, both descriptive statistics and econometric models were used. A Cobb-Douglas stochastic frontier production model was used to estimate the technical efficiency score and identify the determinants of efficiency levels. The MLE of the stochastic frontier production model indicated that tef output was statistically significantly and positively affected by three production inputs including oxen, fertilizers, and herbicides. The mean technical efficiency of sampled households in the district was 83.3% which indicates the respondents have the potential to raise tef output by about 16.7% by using available production inputs on hand efficiently. The estimated results of the inefficiency model presented that the sex of household heads, educational level, and livestock owned affect the technical inefficiency of tef producers negatively and significantly. The model result specifies that being a male household head, attending formal education and the number of livestock make tef producers technically efficient to produce more. Hence, the agricultural sector policies and strategies that improve the skill of farmers and the provision of agricultural production inputs timely and in adequate quantity make tef producer farmers more productive and efficient.
Published in | American Journal of Theoretical and Applied Business (Volume 8, Issue 3) |
DOI | 10.11648/j.ajtab.20220803.12 |
Page(s) | 43-49 |
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2022. Published by Science Publishing Group |
Tef, Technical Efficiency, Stochastic Frontier Production, Walmara
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APA Style
Addisu Getahun, Gadisa Muleta. (2022). Analysis of Levels and Determinants of Technical Efficiency of Tef Producers in Walmara District, Ethiopia. American Journal of Theoretical and Applied Business, 8(3), 43-49. https://doi.org/10.11648/j.ajtab.20220803.12
ACS Style
Addisu Getahun; Gadisa Muleta. Analysis of Levels and Determinants of Technical Efficiency of Tef Producers in Walmara District, Ethiopia. Am. J. Theor. Appl. Bus. 2022, 8(3), 43-49. doi: 10.11648/j.ajtab.20220803.12
@article{10.11648/j.ajtab.20220803.12, author = {Addisu Getahun and Gadisa Muleta}, title = {Analysis of Levels and Determinants of Technical Efficiency of Tef Producers in Walmara District, Ethiopia}, journal = {American Journal of Theoretical and Applied Business}, volume = {8}, number = {3}, pages = {43-49}, doi = {10.11648/j.ajtab.20220803.12}, url = {https://doi.org/10.11648/j.ajtab.20220803.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtab.20220803.12}, abstract = {Agriculture is the backbone of the Ethiopian economy on which 80% of Ethiopians base their livelihoods. Technical efficiency is the level to which the maximum possible output is achieved from a given combination of agricultural production inputs. This study aimed to analyze the level of technical efficiency and identify sources of inefficiency among tef cultivating farmers in Walmara district, Ethiopia. The study was conducted based on primary data collected from 261 sample households. For the analysis of collected data, both descriptive statistics and econometric models were used. A Cobb-Douglas stochastic frontier production model was used to estimate the technical efficiency score and identify the determinants of efficiency levels. The MLE of the stochastic frontier production model indicated that tef output was statistically significantly and positively affected by three production inputs including oxen, fertilizers, and herbicides. The mean technical efficiency of sampled households in the district was 83.3% which indicates the respondents have the potential to raise tef output by about 16.7% by using available production inputs on hand efficiently. The estimated results of the inefficiency model presented that the sex of household heads, educational level, and livestock owned affect the technical inefficiency of tef producers negatively and significantly. The model result specifies that being a male household head, attending formal education and the number of livestock make tef producers technically efficient to produce more. Hence, the agricultural sector policies and strategies that improve the skill of farmers and the provision of agricultural production inputs timely and in adequate quantity make tef producer farmers more productive and efficient.}, year = {2022} }
TY - JOUR T1 - Analysis of Levels and Determinants of Technical Efficiency of Tef Producers in Walmara District, Ethiopia AU - Addisu Getahun AU - Gadisa Muleta Y1 - 2022/08/15 PY - 2022 N1 - https://doi.org/10.11648/j.ajtab.20220803.12 DO - 10.11648/j.ajtab.20220803.12 T2 - American Journal of Theoretical and Applied Business JF - American Journal of Theoretical and Applied Business JO - American Journal of Theoretical and Applied Business SP - 43 EP - 49 PB - Science Publishing Group SN - 2469-7842 UR - https://doi.org/10.11648/j.ajtab.20220803.12 AB - Agriculture is the backbone of the Ethiopian economy on which 80% of Ethiopians base their livelihoods. Technical efficiency is the level to which the maximum possible output is achieved from a given combination of agricultural production inputs. This study aimed to analyze the level of technical efficiency and identify sources of inefficiency among tef cultivating farmers in Walmara district, Ethiopia. The study was conducted based on primary data collected from 261 sample households. For the analysis of collected data, both descriptive statistics and econometric models were used. A Cobb-Douglas stochastic frontier production model was used to estimate the technical efficiency score and identify the determinants of efficiency levels. The MLE of the stochastic frontier production model indicated that tef output was statistically significantly and positively affected by three production inputs including oxen, fertilizers, and herbicides. The mean technical efficiency of sampled households in the district was 83.3% which indicates the respondents have the potential to raise tef output by about 16.7% by using available production inputs on hand efficiently. The estimated results of the inefficiency model presented that the sex of household heads, educational level, and livestock owned affect the technical inefficiency of tef producers negatively and significantly. The model result specifies that being a male household head, attending formal education and the number of livestock make tef producers technically efficient to produce more. Hence, the agricultural sector policies and strategies that improve the skill of farmers and the provision of agricultural production inputs timely and in adequate quantity make tef producer farmers more productive and efficient. VL - 8 IS - 3 ER -