Econometric Analysis of Rural Households’ Resilience to Food Insecurity in West Shoa, Ethiopia

Temesgen Kebede^1, , Jema Haji¹, Belaineh Legesse¹ and Girma Mammo²

¹School of Agricultural Economics, Haramaya University, Dire Dawa, Ethiopia

²Ethiopian Institutes of Agricultural Research, Melkassa, Ethiopia

Cite this paper

Temesgen Kebede, Jema Haji, Belaineh Legesse and Girma Mammo. Econometric Analysis of Rural Households’ Resilience to Food Insecurity in West Shoa, Ethiopia. Journal of Food Security. 2016; 4(3):58-67. doi: 10.12691/JFS-4-3-2

Abstract

The major objective of this study is to analyze rural households’ capability to absorb the negative consequences of unexpected shocks using seven resilience blocs based on the framework of resilience analysis. Resilience index was defined as a function of agricultural inputs and technology, social safety nets, access to public services, access to food and income, access to assets, stability and adaptive capacity. The estimation of each bloc was made separately using different multivariate techniques, where the result becomes covariates in the measurement of resilience index. The estimation of resilience index was done using factor analysis and three factors were retained. Under the first factor, all blocs, except access to public services, are positively correlated with resilience. The negative correlation between access to public services and resilience is because observed variables like health services and education qualities decreases as households become poorer. In terms of importance to rural household’s resilience index, the result indicates that asset ownership play significant role followed by access to food and income, as well as social safety nets. These resilience blocs show the likelihood of recovering from any form of climatic shocks that a household experiences. In the second factor, access to public services becomes positive, which shows that it is a positive characteristic of resilience. Adaptive capacity is positive in the first factor and negative in the second factor. The third factor triggers hidden information of the resilience bloc as stability and adaptive capacity are positive, which likely tells common story in terms of food security situations. In conclusion, poor households have limited or no access to physical and financial assets, little education, and often suffer from human illness and livestock diseases/death. Poor households lack access to sufficient, high-quality land and other natural resources or to remunerative resources of income and agricultural production boosting activities. Therefore, it is recommended that households should have supplements with preconditions and options available to them in terms of capabilities and activities such as agricultural production boosting and income-generating activities, access to assets, improving the quality of public services, social safety nets and adaptive capacity.

Keywords

resilience, food insecurity, smallholders, West Shoa, Ethiopia

Copyright

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References

[1]	M. Pelling, Adaptation to climate change: from resilience to transformation, 1st ed. London: Routledge, 2011.
[2]	R. Hasan and U. Habiba, “Anthropogenic Causes: Population Pressure, Demographic Changes, Urbanization and Its Implication on Food Security,” in Food Security and Risk Reduction in Bangladesh: Methods, Approaches and Practices, U. Habiba, A. Abedin, A. W. R. Hassan, and R. Shaw, Eds. Kyoto University , Japan: Springer Japa, 2015.
[3]	IPCC, Climate Change 2014 Impacts, Adaptation , and Vulnerability Part A: Global and Sectoral Aspects Working Group II Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. 2014.
[4]	IPCC, “Climate Change 2014 Synthesis Report Summary Chapter for Policymakers,” Ipcc, p. 31, 2014.
[5]	IPCC, “Climate Change 2013 The Physical Science Basis Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change Summary for Policymakers,” p. 33, 2013.
[6]	C. Arndt, W. Farmer, K. Strzepek, and J. Thurlow, “Climate Change, Agriculture and Food Security in Tanzania,” The World Bank Development Research Group Agriculture and Rural Development Team, WPS6188, 2012.
[7]	M. E. Brown, Food Security, Food Prices and Climate Variability. London and New York: Routledge, 2014.
[8]	W. N. Adger, “Approches to Vulernability to Climate Change,” CSERGE Working Paper GEC 96-05, 1996.
[9]	W. Bank, “Economics of Adaptation to Climate Change: Synthesis Report,” 2010.
[10]	A. Nahu-Senaye, “Weather Insurance for Farmers: Experience from Ethiopia,” in New Direction for Smallholder Agriculture, 2011.
[11]	J. von Braun, “A policy Agenda for Famine Prevention in Africa,” 1991.
[12]	T. Asaminew and K. Diriba, “Recent Changes in Rainfall , Temperature and Number of Rainy Days over Northern Oromia Zone , Ethiopia,” vol. 3, no. 6, pp. 62-70, 2015.
[13]	USAID, “Ethiopia – Complex Emergency Fact Sheet #2, December 18, 2015, USAID Ethiopia.” 2015.
[14]	C. Folke, S. Carpenter, T. Elmqvist, L. Gunderson, C. S. Holling, and B. Walker, “Resilience and sustainable development: building adaptive capacity in a world of transformations,” Ambio, vol. 31, no. 5, pp. 437-440, 2002.
[15]	L. Alinovi, E. Mane, and D. Romano, “Measuring Household Resilience to Food Insecurity: Application to Palestinian Households,” 2009.
[16]	WFP, “Resilience Measurement Principles: Towards an agenda for Measurement Design,” 2014.
[17]	(Federal Democratic Republic of Ethiopia) FDRE, “NATIONAL POLICY AND STRATEGY ON DISASTER RISK MANAGEMENT,” 2009.
[18]	(Central Statistical Agency) CSA, “Population Projection of Ethiopia for All Regions At Woreda Level from 2014 - 2017,” Addis Ababa, 2013.
[19]	C. R. Kothari, Research Methodology: Methods and Techniques. 2004.
[20]	L. Alinovi, E. Mane, and D. Romano, “Towards the measurement of household resilience to food insecurity: applying a model to Palestinian household data,” 2008.
[21]	P. Lei and Q. Wu, “Introduction to structural equation modeling: Issues and practical considerations,” Educational Measurement: issues and practice, vol. 26, no. 3, pp. 33-43, 2007.
[22]	L. Alinovi, M. D’Errico, E. Mane, and D. Romano, “LiveLihoods strategies and househoLd resiLience to Food insecurity: an empiricaL anaLysis to Kenya,” in Promoting Resilience through Social Protection in Sub-Saharan Africa, 2010.
[23]	J. Coates, A. Swindale, and P. Bilinsky, “Household Food Insecurity Access Scale (HFIAS) for Measurement of Food Access: Indicator Guide, Version 3,” Food and Nutrition Technical Assistance Project, no. August, 2007.
[24]	A. Swindale and P. Bilinsky, “Household Dietary Diversity Score (HDDS) for Measurement of Household Food Access: Indicator Guide,” no. March, 2005.
[25]	P. Bilinsky and A. Swindale, “Household Dietary Diversity Score (HDDS) for Measurement of Household Food Access: Indicator Guide VERSION 2 Anne Swindale Household Dietary Diversity Score (HDDS) for Measurement of Household Food Access: Indicator Guide VERSION 2,” 2006.
[26]	J. Hoddinott and Y. Yohannes, “Dietary Diversity as a Household Food Security Indicator,” Food and Nutrition Technical Assistance Project, Academy for Educational Development, vol. 53, no. May, p. 160, 2002.
[27]	T. Frankenberger, T. Spangler, S. Nelson, and Mark Langworthy, “Enhancing Resilience to Food Security Shocks in Africa,” no. November, 2012.