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Determinants of Rural Household Food Insecurity Status and Coping Strategies in Case of Konso Woreda, Segen Area People’s Zone of Southern Ethiopia

Received: 22 May 2020     Accepted: 15 June 2020     Published: 29 June 2020
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Abstract

The aim of this study was to identify determinant factors and status of household food insecurity in Konso district. The study employed primary data collected from 203 households selected by using simple random sampling method. Binary logistic models and household calorie acquisition methods were employed to identify factors and categorize households into food secured and insecure. The survey result shows that in Konso district, about 80% households were found to be food insecure and majority households were mildly food insecure. The result of the binary logistic analysis showed that, of the twelve explanatory variables expected to determine household’s food insecurity in Konso district, only eight variables significantly determine household’s food insecurity situations both positively and negatively at 1%, 5% and 10% significance level. In the study area, farmland size, education level, off-farm income, livestock number and agro-ecology determine negatively and significantly household food insecurity. On the other hand, family size, dependency ratio and distance from market determine positively and significantly household food insecurity. To solve the food insecurity problem in a rural area like Konso, focus should be given to increase education level, off-farm income, livestock and equal focus is also important to reduce family size through a core rural development strategy.

Published in International Journal of Business and Economics Research (Volume 9, Issue 4)
DOI 10.11648/j.ijber.20200904.16
Page(s) 202-206
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

Calorie Intake, Coping Strategy, Food Insecurity, Konso, Logit Model

References
[1] Amsalu, Bekabil and Beyene (2014) ‘Empirical analysis of the determinants of rural households food security in Southern Ethiopia’ the case of Shashemene District.
[2] Degefa Tollosa. (2002), “Household seasonal food insecurity in Oromiya zone” Ethiopia.
[3] EHNRI (Ethiopian Health and Nutrition Research Institute), 2000, Food composition table for use in Ethiopia. Ethiopian Health and Nutrition Research Institute Part III, Addis Ababa. Ethiopia.
[4] FAO (2017) ‘The state of food security and nutrition in the world’.
[5] Fekadu Beyene and Mequanent Muche (2010), Determinants of Food Security among Rural Households of Central Ethiopia: An Empirical Analysis, Quarterly Journal of International Agriculture 49 (2010), No. 4: 299-318.
[6] Gujirati, D. N. (1995): Basic Econometrics, Third Edition. McGraw-Hill, New York.
[7] Karale Kasaso (2015), “Household Food Security Status and Its Determinants in Rural Konso Woreda, Southern Ethiopia”.
[8] Melkamu Mada (2011), Small-scale Agriculture and it's hope to food security in Africa: the case of kamba district in Ethiopia. International Journal of Management Research and Business Strategy, ISSN 2319-345X www.ijmrbs.com, Vol. 4, No. 2, April 2015.
[9] Mequanent Muche, Birara Endalew and Tesfalem Koricho (2014) “Determinants of Household Food Security among Southwest Ethiopia Rural Households” Department of Agricultural Economics and Extension, Jimma University, Ethiopia.
[10] RDFS, Section (2009), The Rural Development and Food Security.
[11] Semere Gebretsadik, 2008. Dimensions and Determinants of Rural Household Poverty: The Case of Eastern Zone, Tigray National Regional State. M. sc Thesis in Agricultural Economics, Alemaya University, April 2008.
[12] WFP (World food programme), 2010’ The State of Food Insecurity in the World’.
[13] WFP (2013) ‘Fighting Hunger World Wide’: Annual Report. Ethiopia.
[14] WFP (2014) ‘Comprehensive Food Security and Vulnerability Analysis (CFSVA): Executive Summary, Ethiopia.
[15] WFP (2017) ‘The State of Food Security and Nutrition in the World’ (SOFI) Report.
[16] Yamane, Taro (1967) Statistics: An Introductory Analysis 2nd Edition. New York.
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    Aynalem Moges, Mada Melkamu. (2020). Determinants of Rural Household Food Insecurity Status and Coping Strategies in Case of Konso Woreda, Segen Area People’s Zone of Southern Ethiopia. International Journal of Business and Economics Research, 9(4), 202-206. https://doi.org/10.11648/j.ijber.20200904.16

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    ACS Style

    Aynalem Moges; Mada Melkamu. Determinants of Rural Household Food Insecurity Status and Coping Strategies in Case of Konso Woreda, Segen Area People’s Zone of Southern Ethiopia. Int. J. Bus. Econ. Res. 2020, 9(4), 202-206. doi: 10.11648/j.ijber.20200904.16

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    AMA Style

    Aynalem Moges, Mada Melkamu. Determinants of Rural Household Food Insecurity Status and Coping Strategies in Case of Konso Woreda, Segen Area People’s Zone of Southern Ethiopia. Int J Bus Econ Res. 2020;9(4):202-206. doi: 10.11648/j.ijber.20200904.16

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  • @article{10.11648/j.ijber.20200904.16,
      author = {Aynalem Moges and Mada Melkamu},
      title = {Determinants of Rural Household Food Insecurity Status and Coping Strategies in Case of Konso Woreda, Segen Area People’s Zone of Southern Ethiopia},
      journal = {International Journal of Business and Economics Research},
      volume = {9},
      number = {4},
      pages = {202-206},
      doi = {10.11648/j.ijber.20200904.16},
      url = {https://doi.org/10.11648/j.ijber.20200904.16},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20200904.16},
      abstract = {The aim of this study was to identify determinant factors and status of household food insecurity in Konso district. The study employed primary data collected from 203 households selected by using simple random sampling method. Binary logistic models and household calorie acquisition methods were employed to identify factors and categorize households into food secured and insecure. The survey result shows that in Konso district, about 80% households were found to be food insecure and majority households were mildly food insecure. The result of the binary logistic analysis showed that, of the twelve explanatory variables expected to determine household’s food insecurity in Konso district, only eight variables significantly determine household’s food insecurity situations both positively and negatively at 1%, 5% and 10% significance level. In the study area, farmland size, education level, off-farm income, livestock number and agro-ecology determine negatively and significantly household food insecurity. On the other hand, family size, dependency ratio and distance from market determine positively and significantly household food insecurity. To solve the food insecurity problem in a rural area like Konso, focus should be given to increase education level, off-farm income, livestock and equal focus is also important to reduce family size through a core rural development strategy.},
     year = {2020}
    }
    

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    AU  - Aynalem Moges
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    AB  - The aim of this study was to identify determinant factors and status of household food insecurity in Konso district. The study employed primary data collected from 203 households selected by using simple random sampling method. Binary logistic models and household calorie acquisition methods were employed to identify factors and categorize households into food secured and insecure. The survey result shows that in Konso district, about 80% households were found to be food insecure and majority households were mildly food insecure. The result of the binary logistic analysis showed that, of the twelve explanatory variables expected to determine household’s food insecurity in Konso district, only eight variables significantly determine household’s food insecurity situations both positively and negatively at 1%, 5% and 10% significance level. In the study area, farmland size, education level, off-farm income, livestock number and agro-ecology determine negatively and significantly household food insecurity. On the other hand, family size, dependency ratio and distance from market determine positively and significantly household food insecurity. To solve the food insecurity problem in a rural area like Konso, focus should be given to increase education level, off-farm income, livestock and equal focus is also important to reduce family size through a core rural development strategy.
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Author Information
  • Economics Department of Arbaminch University, College of Business and Economics, Arbaminch University, Arbaminch, Ethiopia

  • Economics Department of Arbaminch University, College of Business and Economics, Arbaminch University, Arbaminch, Ethiopia

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