Strategies of Households Resilience in Adapting to Challenges in Turkana County

Loice Yoda; Karanja Anthony; Pius Kihara

doi:doi:10.11648/j.ajtas.20200905.16

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Strategies of Households Resilience in Adapting to Challenges in Turkana County

Loice Yoda, Karanja Anthony, Pius Kihara

Published in American Journal of Theoretical and Applied Statistics (Volume 9, Issue 5)

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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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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TY  - JOUR
T1  - Strategies of Households Resilience in Adapting to Challenges in Turkana County
AU  - Loice Yoda
AU  - Karanja Anthony
AU  - Pius Kihara
Y1  - 2020/10/12
PY  - 2020
N1  - https://doi.org/10.11648/j.ajtas.20200905.16
DO  - 10.11648/j.ajtas.20200905.16
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 228
EP  - 237
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20200905.16
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
IS  - 5
ER  -

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Author Information

Loice Yoda

Department of Mathematics, Multimedia University of Kenya, Nairobi, Kenya
Karanja Anthony

Department of Mathematics, School of Science, Multimedia University of Kenya, Nairobi, Kenya
Pius Kihara

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

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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}
}

Copy | Download

TY  - JOUR
T1  - Strategies of Households Resilience in Adapting to Challenges in Turkana County
AU  - Loice Yoda
AU  - Karanja Anthony
AU  - Pius Kihara
Y1  - 2020/10/12
PY  - 2020
N1  - https://doi.org/10.11648/j.ajtas.20200905.16
DO  - 10.11648/j.ajtas.20200905.16
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 228
EP  - 237
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20200905.16
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
IS  - 5
ER  -

Copy | Download