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Strategies of Households Resilience in Adapting to Challenges in Turkana County

Received: 28 August 2020     Accepted: 22 September 2020     Published: 12 October 2020
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Abstract

Turkana County experiences re-occurring drought and conflict leading to an increased dependency ratio, injuries, both physical and emotional as well as displacement. This study, using Resilience Index Measurement, Analysis is to determine which factors have the capability to maximize resilience in livelihoods by minimizing the effect of the shock by looking at different ways of how livelihood contributes to household’s coping strategies and capacity during the calamity. Data used in this study was obtained through quantitative method where a sample (n≥384) was drawn from the target population by random sampling from the data collected between 2015 and 2016. Factor loading analysis was done to establish the weights of each resilience component. RIMA model has shown the ability to be an appropriate tool that can deal with both linear and nonlinear regression concepts. The overall Resilience Index of Turkana county was 0.0457 and that gender to some extent is contributing factor in determining the resilience index. The household head for Pastoral category were between 24-41 years, which is young with 28 years as the average age. Access to market facility determines the kind of what livelihood activity individual engages in at 79%. Access to credit significantly affects Resilience of an individual (p < 0.1) thus contributing to diversity in choosing livelihood negatively. Remittances have a negative effect on the fishery and farming livelihoods by 7%.

Published in American Journal of Theoretical and Applied Statistics (Volume 9, Issue 5)
DOI 10.11648/j.ajtas.20200905.16
Page(s) 228-237
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), 2020. Published by Science Publishing Group

Keywords

Determinants of Livelihood Strategy, Resilience Index of a Household, Coping Strategies of Households

References
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[11] Demeke, M.; Kaitakire, F.; Tefera, N. (2017), " Building sustainable resilience for food security and livelihood dynamics: The Case of Farming Rural households in Ethiopia; Agricultural Development and Economics Division (ESA) ", Food and Agricultural Organization (FAO): Rome, Italy.
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[13] Alinovi, L.; D. Errico, M. Mane, and Romano, D. (2017), "Livelihoods Strategies and Household Resilience to Food Insecurity; An Empirical Analysis to Kenya", Food and Agriculture Organization of the United Nations (FAO).
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[18] Alinovi, L.; Mane, E.; and Romano, D. (2008), "Measuring household resilience to food insecurity: application to Palestinian households Agricultural Survey Methods"; John Wiley & Sons Ltd, Chichester, UK.
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[20] Lasse K. (2014), " The Sustainable Livelihood Approach to Poverty Reduction", Swedish international development cooperation agency.
[21] Lokosang L, Ramroop S, Hendriks SL. (2010), "Establishing a robust technique for monitoring and early warning of food insecurity in post-conflict Southern Sudan using ordinal logistic regression", Agrekon. Vol. 50, pp 101–30.
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Cite This Article
  • APA Style

    Loice Yoda, Karanja Anthony, Pius Kihara. (2020). Strategies of Households Resilience in Adapting to Challenges in Turkana County. American Journal of Theoretical and Applied Statistics, 9(5), 228-237. https://doi.org/10.11648/j.ajtas.20200905.16

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    ACS Style

    Loice Yoda; Karanja Anthony; Pius Kihara. Strategies of Households Resilience in Adapting to Challenges in Turkana County. Am. J. Theor. Appl. Stat. 2020, 9(5), 228-237. doi: 10.11648/j.ajtas.20200905.16

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    AMA Style

    Loice Yoda, Karanja Anthony, Pius Kihara. Strategies of Households Resilience in Adapting to Challenges in Turkana County. Am J Theor Appl Stat. 2020;9(5):228-237. doi: 10.11648/j.ajtas.20200905.16

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  • @article{10.11648/j.ajtas.20200905.16,
      author = {Loice Yoda and Karanja Anthony and Pius Kihara},
      title = {Strategies of Households Resilience in Adapting to Challenges in Turkana County},
      journal = {American Journal of Theoretical and Applied Statistics},
      volume = {9},
      number = {5},
      pages = {228-237},
      doi = {10.11648/j.ajtas.20200905.16},
      url = {https://doi.org/10.11648/j.ajtas.20200905.16},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20200905.16},
      abstract = {Turkana County experiences re-occurring drought and conflict leading to an increased dependency ratio, injuries, both physical and emotional as well as displacement. This study, using Resilience Index Measurement, Analysis is to determine which factors have the capability to maximize resilience in livelihoods by minimizing the effect of the shock by looking at different ways of how livelihood contributes to household’s coping strategies and capacity during the calamity. Data used in this study was obtained through quantitative method where a sample (n≥384) was drawn from the target population by random sampling from the data collected between 2015 and 2016. Factor loading analysis was done to establish the weights of each resilience component. RIMA model has shown the ability to be an appropriate tool that can deal with both linear and nonlinear regression concepts. The overall Resilience Index of Turkana county was 0.0457 and that gender to some extent is contributing factor in determining the resilience index. The household head for Pastoral category were between 24-41 years, which is young with 28 years as the average age. Access to market facility determines the kind of what livelihood activity individual engages in at 79%. Access to credit significantly affects Resilience of an individual (p < 0.1) thus contributing to diversity in choosing livelihood negatively. Remittances have a negative effect on the fishery and farming livelihoods by 7%.},
     year = {2020}
    }
    

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    AU  - Loice Yoda
    AU  - Karanja Anthony
    AU  - Pius Kihara
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    T2  - American Journal of Theoretical and Applied Statistics
    JF  - American Journal of Theoretical and Applied Statistics
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    AB  - Turkana County experiences re-occurring drought and conflict leading to an increased dependency ratio, injuries, both physical and emotional as well as displacement. This study, using Resilience Index Measurement, Analysis is to determine which factors have the capability to maximize resilience in livelihoods by minimizing the effect of the shock by looking at different ways of how livelihood contributes to household’s coping strategies and capacity during the calamity. Data used in this study was obtained through quantitative method where a sample (n≥384) was drawn from the target population by random sampling from the data collected between 2015 and 2016. Factor loading analysis was done to establish the weights of each resilience component. RIMA model has shown the ability to be an appropriate tool that can deal with both linear and nonlinear regression concepts. The overall Resilience Index of Turkana county was 0.0457 and that gender to some extent is contributing factor in determining the resilience index. The household head for Pastoral category were between 24-41 years, which is young with 28 years as the average age. Access to market facility determines the kind of what livelihood activity individual engages in at 79%. Access to credit significantly affects Resilience of an individual (p < 0.1) thus contributing to diversity in choosing livelihood negatively. Remittances have a negative effect on the fishery and farming livelihoods by 7%.
    VL  - 9
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Author Information
  • Department of Mathematics, Multimedia University of Kenya, Nairobi, Kenya

  • Department of Mathematics, School of Science, Multimedia University of Kenya, Nairobi, Kenya

  • Department of Financial and Actuarial Mathematics, Technical University of Kenya, Nairobi, Kenya

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