The main objective of this study was to identify the main factors affecting participation in off/non-farm activities in Sinana district, West Bale zone, Ethiopia. Off/non - farm income-generating activities play an important role to supplement income from agriculture. For this study, data were collected from 423 smallholder farmers in Sinana district. The study combined quantitative and qualitative data obtained from desk assessments, focus group discussions and an in-depth interview. Descriptive statistics and econometric models were used to analyze the data. Descriptive methods such as mean, percentage and frequency were used. Both Logistic and probit models were fitted to the data. Logistic regression had lower AIC and BIC. The lower the value of AIC and BIC, the better the model goodness of fit. Therefore, the logistic model is preferred in this study. The results of the logistic regression model showed that the education attainment of the household head, landholding size, credit, frequency of agricultural extension visits, distance to nearby town, cell phone ownership, number of oxen, membership to ‘equb’, crop insect attach and disease invasion were statistically and significantly affected participation in off/non-farm activities. Therefore, strengthening existing agricultural extension services, disseminating information on available jobs, providing loans and developing infrastructure are key areas to be considered.
| Published in | Journal of Investment and Management (Volume 11, Issue 2) |
| DOI | 10.11648/j.jim.20221102.11 |
| Page(s) | 33-39 |
| 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), 2024. Published by Science Publishing Group |
Participation in Off/Non–farm Activities, Logistic Regression, Ethiopia
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APA Style
Gemechu Mulatu Kerorsa. (2022). Factors Affecting Rural Households Participation in Off/Non-Farm Activities in Sinana District, West-Bale–Zone, Ethiopia. Journal of Investment and Management, 11(2), 33-39. https://doi.org/10.11648/j.jim.20221102.11
ACS Style
Gemechu Mulatu Kerorsa. Factors Affecting Rural Households Participation in Off/Non-Farm Activities in Sinana District, West-Bale–Zone, Ethiopia. J. Invest. Manag. 2022, 11(2), 33-39. doi: 10.11648/j.jim.20221102.11
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Download@article{10.11648/j.jim.20221102.11,
author = {Gemechu Mulatu Kerorsa},
title = {Factors Affecting Rural Households Participation in Off/Non-Farm Activities in Sinana District, West-Bale–Zone, Ethiopia},
journal = {Journal of Investment and Management},
volume = {11},
number = {2},
pages = {33-39},
doi = {10.11648/j.jim.20221102.11},
url = {https://doi.org/10.11648/j.jim.20221102.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jim.20221102.11},
abstract = {The main objective of this study was to identify the main factors affecting participation in off/non-farm activities in Sinana district, West Bale zone, Ethiopia. Off/non - farm income-generating activities play an important role to supplement income from agriculture. For this study, data were collected from 423 smallholder farmers in Sinana district. The study combined quantitative and qualitative data obtained from desk assessments, focus group discussions and an in-depth interview. Descriptive statistics and econometric models were used to analyze the data. Descriptive methods such as mean, percentage and frequency were used. Both Logistic and probit models were fitted to the data. Logistic regression had lower AIC and BIC. The lower the value of AIC and BIC, the better the model goodness of fit. Therefore, the logistic model is preferred in this study. The results of the logistic regression model showed that the education attainment of the household head, landholding size, credit, frequency of agricultural extension visits, distance to nearby town, cell phone ownership, number of oxen, membership to ‘equb’, crop insect attach and disease invasion were statistically and significantly affected participation in off/non-farm activities. Therefore, strengthening existing agricultural extension services, disseminating information on available jobs, providing loans and developing infrastructure are key areas to be considered.},
year = {2022}
}
TY - JOUR T1 - Factors Affecting Rural Households Participation in Off/Non-Farm Activities in Sinana District, West-Bale–Zone, Ethiopia AU - Gemechu Mulatu Kerorsa Y1 - 2022/07/12 PY - 2022 N1 - https://doi.org/10.11648/j.jim.20221102.11 DO - 10.11648/j.jim.20221102.11 T2 - Journal of Investment and Management JF - Journal of Investment and Management JO - Journal of Investment and Management SP - 33 EP - 39 PB - Science Publishing Group SN - 2328-7721 UR - https://doi.org/10.11648/j.jim.20221102.11 AB - The main objective of this study was to identify the main factors affecting participation in off/non-farm activities in Sinana district, West Bale zone, Ethiopia. Off/non - farm income-generating activities play an important role to supplement income from agriculture. For this study, data were collected from 423 smallholder farmers in Sinana district. The study combined quantitative and qualitative data obtained from desk assessments, focus group discussions and an in-depth interview. Descriptive statistics and econometric models were used to analyze the data. Descriptive methods such as mean, percentage and frequency were used. Both Logistic and probit models were fitted to the data. Logistic regression had lower AIC and BIC. The lower the value of AIC and BIC, the better the model goodness of fit. Therefore, the logistic model is preferred in this study. The results of the logistic regression model showed that the education attainment of the household head, landholding size, credit, frequency of agricultural extension visits, distance to nearby town, cell phone ownership, number of oxen, membership to ‘equb’, crop insect attach and disease invasion were statistically and significantly affected participation in off/non-farm activities. Therefore, strengthening existing agricultural extension services, disseminating information on available jobs, providing loans and developing infrastructure are key areas to be considered. VL - 11 IS - 2 ER -
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