Coffee is the major source of income for smallholder farmers and it is leading export crop for Ethiopia. Identifying factors affecting Coffee production is very important to improve the production coffee in the country. This paper is focused on the factors that affect the production of coffee in Mizan-Aman district. Using simple random sampling 124 Coffee farmers were selected in Mizan-Aman district. The data was gathered by prepared questionnaires and analyzed by IBM SPSS version 20. From the total of 124 farmers 70 (56.5%) are males and 54 (43.5%) are females and the peak age of the coffee producer is 59 years, while the least age is 26 years. The experience of coffee producer was estimated on average 8 years and five months. Multiple linear regressions is made and the regression results revealed that factors such as education level, types of coffee, farmers total income and farm size are determinants of coffee production. Therefore the conclusion is that the farmers should develop their education level to maximize their coffee production and coffee producing farmers have to use different types of coffee seeds to maximize their production. Not only these but also farmer’s income and farm size are very important factors that increase coffee production. Generally from the paper, coffee production will improved if the farmers and agricultural workers incorporate the determinants identified by this study.
| Published in | Advances in Bioscience and Bioengineering (Volume 8, Issue 2) |
| DOI | 10.11648/j.abb.20200802.13 |
| Page(s) | 24-30 |
| 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. |
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Copyright © The Author(s), 2024. Published by Science Publishing Group |
Coffee Production, Multiple Linear Regression, Factors of Coffee Production
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APA Style
Alemu Bekele, Tewabe Guadie. (2020). Multiple Linear Regression Analysis on Factors Affecting Coffee Production in Bench-Shako Zone: In Case of Mizan-Aman District, Southwest Ethiopia. Advances in Bioscience and Bioengineering, 8(2), 24-30. https://doi.org/10.11648/j.abb.20200802.13
ACS Style
Alemu Bekele; Tewabe Guadie. Multiple Linear Regression Analysis on Factors Affecting Coffee Production in Bench-Shako Zone: In Case of Mizan-Aman District, Southwest Ethiopia. Adv. BioSci. Bioeng. 2020, 8(2), 24-30. doi: 10.11648/j.abb.20200802.13
AMA Style
Alemu Bekele, Tewabe Guadie. Multiple Linear Regression Analysis on Factors Affecting Coffee Production in Bench-Shako Zone: In Case of Mizan-Aman District, Southwest Ethiopia. Adv BioSci Bioeng. 2020;8(2):24-30. doi: 10.11648/j.abb.20200802.13
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Download@article{10.11648/j.abb.20200802.13,
author = {Alemu Bekele and Tewabe Guadie},
title = {Multiple Linear Regression Analysis on Factors Affecting Coffee Production in Bench-Shako Zone: In Case of Mizan-Aman District, Southwest Ethiopia},
journal = {Advances in Bioscience and Bioengineering},
volume = {8},
number = {2},
pages = {24-30},
doi = {10.11648/j.abb.20200802.13},
url = {https://doi.org/10.11648/j.abb.20200802.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.abb.20200802.13},
abstract = {Coffee is the major source of income for smallholder farmers and it is leading export crop for Ethiopia. Identifying factors affecting Coffee production is very important to improve the production coffee in the country. This paper is focused on the factors that affect the production of coffee in Mizan-Aman district. Using simple random sampling 124 Coffee farmers were selected in Mizan-Aman district. The data was gathered by prepared questionnaires and analyzed by IBM SPSS version 20. From the total of 124 farmers 70 (56.5%) are males and 54 (43.5%) are females and the peak age of the coffee producer is 59 years, while the least age is 26 years. The experience of coffee producer was estimated on average 8 years and five months. Multiple linear regressions is made and the regression results revealed that factors such as education level, types of coffee, farmers total income and farm size are determinants of coffee production. Therefore the conclusion is that the farmers should develop their education level to maximize their coffee production and coffee producing farmers have to use different types of coffee seeds to maximize their production. Not only these but also farmer’s income and farm size are very important factors that increase coffee production. Generally from the paper, coffee production will improved if the farmers and agricultural workers incorporate the determinants identified by this study.},
year = {2020}
}
TY - JOUR T1 - Multiple Linear Regression Analysis on Factors Affecting Coffee Production in Bench-Shako Zone: In Case of Mizan-Aman District, Southwest Ethiopia AU - Alemu Bekele AU - Tewabe Guadie Y1 - 2020/08/10 PY - 2020 N1 - https://doi.org/10.11648/j.abb.20200802.13 DO - 10.11648/j.abb.20200802.13 T2 - Advances in Bioscience and Bioengineering JF - Advances in Bioscience and Bioengineering JO - Advances in Bioscience and Bioengineering SP - 24 EP - 30 PB - Science Publishing Group SN - 2330-4162 UR - https://doi.org/10.11648/j.abb.20200802.13 AB - Coffee is the major source of income for smallholder farmers and it is leading export crop for Ethiopia. Identifying factors affecting Coffee production is very important to improve the production coffee in the country. This paper is focused on the factors that affect the production of coffee in Mizan-Aman district. Using simple random sampling 124 Coffee farmers were selected in Mizan-Aman district. The data was gathered by prepared questionnaires and analyzed by IBM SPSS version 20. From the total of 124 farmers 70 (56.5%) are males and 54 (43.5%) are females and the peak age of the coffee producer is 59 years, while the least age is 26 years. The experience of coffee producer was estimated on average 8 years and five months. Multiple linear regressions is made and the regression results revealed that factors such as education level, types of coffee, farmers total income and farm size are determinants of coffee production. Therefore the conclusion is that the farmers should develop their education level to maximize their coffee production and coffee producing farmers have to use different types of coffee seeds to maximize their production. Not only these but also farmer’s income and farm size are very important factors that increase coffee production. Generally from the paper, coffee production will improved if the farmers and agricultural workers incorporate the determinants identified by this study. VL - 8 IS - 2 ER -
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