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Impact of Non-farm Activities on Wellbeing of Rural Household, the Case of Kersa District, Eastern Hararghe Zone, Ethiopia

Received: 19 September 2020    Accepted: 30 September 2020    Published: 19 November 2020
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Abstract

The study evaluated impact of non-farm activities on wellbeing of rural household using cross-sectional data. Household’s consumption expenditure per adult equivalent was analyzed to measure household wellbeing. Multi-stage sampling technique was employed to select sample households from three Kebeles. Both primary and secondary data were used. Data were collected primarily through Semi-structured survey questionnaire from 178 households. Descriptive statistics and propensity score matching model were used to analyze the data. Propensity score matching (PSM) technique of impact evaluation preferred to overcome counterfactual problem and selection bias. Analysis results show that non-farm activities have increased consumption expenditure per adult equivalent ranging from 29.1% to 36.7% for participant households. In conclusion, participant households were more likely to be wellbeing as compared to the non-participant households. The result from the logistic estimator also revealed that participation in non-farm activities was significantly associated with variables such as age, education, adult equivalent size, cultivable land size, farm experience, and distance from main road, tropical livestock unit and access to nonfarm training. Therefore, such rural development planners and other stakeholders should consider the roles of these variables within the selection of participants for desired impact on economic wellbeing.

DOI 10.11648/j.hss.20200806.13
Published in Humanities and Social Sciences (Volume 8, Issue 6, November 2020)
Page(s) 182-190
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

Keywords

Non-farm Activities, Impact, Propensity Score Matching, Wellbeing

References
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Author Information
  • Department of Agricultural Economics, Bonga University, Bonga, Ethiopia

  • Department of Rural Development and Agricultural Extension, Bonga University, Bonga, Ethiopia

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  • APA Style

    Fami Abdurezak, Adinan Ahmed. (2020). Impact of Non-farm Activities on Wellbeing of Rural Household, the Case of Kersa District, Eastern Hararghe Zone, Ethiopia. Humanities and Social Sciences, 8(6), 182-190. https://doi.org/10.11648/j.hss.20200806.13

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    Fami Abdurezak; Adinan Ahmed. Impact of Non-farm Activities on Wellbeing of Rural Household, the Case of Kersa District, Eastern Hararghe Zone, Ethiopia. Humanit. Soc. Sci. 2020, 8(6), 182-190. doi: 10.11648/j.hss.20200806.13

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    AMA Style

    Fami Abdurezak, Adinan Ahmed. Impact of Non-farm Activities on Wellbeing of Rural Household, the Case of Kersa District, Eastern Hararghe Zone, Ethiopia. Humanit Soc Sci. 2020;8(6):182-190. doi: 10.11648/j.hss.20200806.13

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  • @article{10.11648/j.hss.20200806.13,
      author = {Fami Abdurezak and Adinan Ahmed},
      title = {Impact of Non-farm Activities on Wellbeing of Rural Household, the Case of Kersa District, Eastern Hararghe Zone, Ethiopia},
      journal = {Humanities and Social Sciences},
      volume = {8},
      number = {6},
      pages = {182-190},
      doi = {10.11648/j.hss.20200806.13},
      url = {https://doi.org/10.11648/j.hss.20200806.13},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.hss.20200806.13},
      abstract = {The study evaluated impact of non-farm activities on wellbeing of rural household using cross-sectional data. Household’s consumption expenditure per adult equivalent was analyzed to measure household wellbeing. Multi-stage sampling technique was employed to select sample households from three Kebeles. Both primary and secondary data were used. Data were collected primarily through Semi-structured survey questionnaire from 178 households. Descriptive statistics and propensity score matching model were used to analyze the data. Propensity score matching (PSM) technique of impact evaluation preferred to overcome counterfactual problem and selection bias. Analysis results show that non-farm activities have increased consumption expenditure per adult equivalent ranging from 29.1% to 36.7% for participant households. In conclusion, participant households were more likely to be wellbeing as compared to the non-participant households. The result from the logistic estimator also revealed that participation in non-farm activities was significantly associated with variables such as age, education, adult equivalent size, cultivable land size, farm experience, and distance from main road, tropical livestock unit and access to nonfarm training. Therefore, such rural development planners and other stakeholders should consider the roles of these variables within the selection of participants for desired impact on economic wellbeing.},
     year = {2020}
    }
    

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    T1  - Impact of Non-farm Activities on Wellbeing of Rural Household, the Case of Kersa District, Eastern Hararghe Zone, Ethiopia
    AU  - Fami Abdurezak
    AU  - Adinan Ahmed
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    N1  - https://doi.org/10.11648/j.hss.20200806.13
    DO  - 10.11648/j.hss.20200806.13
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    JF  - Humanities and Social Sciences
    JO  - Humanities and Social Sciences
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    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.hss.20200806.13
    AB  - The study evaluated impact of non-farm activities on wellbeing of rural household using cross-sectional data. Household’s consumption expenditure per adult equivalent was analyzed to measure household wellbeing. Multi-stage sampling technique was employed to select sample households from three Kebeles. Both primary and secondary data were used. Data were collected primarily through Semi-structured survey questionnaire from 178 households. Descriptive statistics and propensity score matching model were used to analyze the data. Propensity score matching (PSM) technique of impact evaluation preferred to overcome counterfactual problem and selection bias. Analysis results show that non-farm activities have increased consumption expenditure per adult equivalent ranging from 29.1% to 36.7% for participant households. In conclusion, participant households were more likely to be wellbeing as compared to the non-participant households. The result from the logistic estimator also revealed that participation in non-farm activities was significantly associated with variables such as age, education, adult equivalent size, cultivable land size, farm experience, and distance from main road, tropical livestock unit and access to nonfarm training. Therefore, such rural development planners and other stakeholders should consider the roles of these variables within the selection of participants for desired impact on economic wellbeing.
    VL  - 8
    IS  - 6
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