This study was designed to identify factors affecting coffee productivity in Daro Labu district of West Hararghe Zone of Ethiopia. The study was based on data generated from 120 coffee producers selected based on simple randomly sampling technique. Descriptive statistics was employed in the process of examining and describing farm household characteristics. The Cobb-Douglas production function was used to identify and estimate the effects of socioeconomic factors on coffee productivity. Results obtained from the model indicated that among the explanatory variables included in the model; fertilizer, coffee farm size, family labor, coffee farming experience, land allocated for Khat were found to be statistically significant factors affecting coffee productivity. Among the significant variables except land allocated for Khat other variables were found to be positively related to coffee productivity.
| Published in | American Journal of Environmental and Resource Economics (Volume 2, Issue 4) |
| DOI | 10.11648/j.ajere.20170204.12 |
| Page(s) | 158-161 |
| Creative Commons |
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. |
| Copyright |
Copyright © The Author(s), 2017. Published by Science Publishing Group |
Coffee, Productivity, Cobb-Douglas Production Function
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APA Style
Anteneh Temesgen, Aman Tufa. (2017). Analysis of Coffee Farm Productivity in Darolabu District, West Hararghe Zone, Ethiopia. American Journal of Environmental and Resource Economics, 2(4), 158-161. https://doi.org/10.11648/j.ajere.20170204.12
ACS Style
Anteneh Temesgen; Aman Tufa. Analysis of Coffee Farm Productivity in Darolabu District, West Hararghe Zone, Ethiopia. Am. J. Environ. Resour. Econ. 2017, 2(4), 158-161. doi: 10.11648/j.ajere.20170204.12
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Download@article{10.11648/j.ajere.20170204.12,
author = {Anteneh Temesgen and Aman Tufa},
title = {Analysis of Coffee Farm Productivity in Darolabu District, West Hararghe Zone, Ethiopia},
journal = {American Journal of Environmental and Resource Economics},
volume = {2},
number = {4},
pages = {158-161},
doi = {10.11648/j.ajere.20170204.12},
url = {https://doi.org/10.11648/j.ajere.20170204.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajere.20170204.12},
abstract = {This study was designed to identify factors affecting coffee productivity in Daro Labu district of West Hararghe Zone of Ethiopia. The study was based on data generated from 120 coffee producers selected based on simple randomly sampling technique. Descriptive statistics was employed in the process of examining and describing farm household characteristics. The Cobb-Douglas production function was used to identify and estimate the effects of socioeconomic factors on coffee productivity. Results obtained from the model indicated that among the explanatory variables included in the model; fertilizer, coffee farm size, family labor, coffee farming experience, land allocated for Khat were found to be statistically significant factors affecting coffee productivity. Among the significant variables except land allocated for Khat other variables were found to be positively related to coffee productivity.},
year = {2017}
}
TY - JOUR T1 - Analysis of Coffee Farm Productivity in Darolabu District, West Hararghe Zone, Ethiopia AU - Anteneh Temesgen AU - Aman Tufa Y1 - 2017/09/11 PY - 2017 N1 - https://doi.org/10.11648/j.ajere.20170204.12 DO - 10.11648/j.ajere.20170204.12 T2 - American Journal of Environmental and Resource Economics JF - American Journal of Environmental and Resource Economics JO - American Journal of Environmental and Resource Economics SP - 158 EP - 161 PB - Science Publishing Group SN - 2578-787X UR - https://doi.org/10.11648/j.ajere.20170204.12 AB - This study was designed to identify factors affecting coffee productivity in Daro Labu district of West Hararghe Zone of Ethiopia. The study was based on data generated from 120 coffee producers selected based on simple randomly sampling technique. Descriptive statistics was employed in the process of examining and describing farm household characteristics. The Cobb-Douglas production function was used to identify and estimate the effects of socioeconomic factors on coffee productivity. Results obtained from the model indicated that among the explanatory variables included in the model; fertilizer, coffee farm size, family labor, coffee farming experience, land allocated for Khat were found to be statistically significant factors affecting coffee productivity. Among the significant variables except land allocated for Khat other variables were found to be positively related to coffee productivity. VL - 2 IS - 4 ER -
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