Determinants of Rural Households Food Insecurity in Southern Ethiopia
Asian Food Science Journal · pp. 29–43 · Published 18 Apr 2020
10.9734/afsj/2020/v15i130144Abstract
Aim: This study aimed at examining the level and determinants of food insecurity of rural households in Southern Ethiopia using a sample of 574 households and two-stage least square estimation. Materials and Methods: A total sample of 574 rural households was selected from the three Districts proportionately: 160, 262 and 178 sample households from Demba Gofa, Kamba and Chencha District respectively. Samples of 11 kebeles or Peasant Associations were selected from the three Districts proportionately depending on the number of kebeles in each District. Results: The mean level of household food insecurity access score is 7.1847 or about 79.83 per cent of households in the study areas are food insecure. The study found that rural households at moisture stress low lands are more food insecure compared to households at middle lands and high lands. The two-stage least square estimation also revealed that food availability theory related factors such as family size and land size significantly affect food insecurity in the study areas. Moreover, food entitlement theory related factors like market access, education, livestock ownership, off-farm participation and productive safety net participation also significantly influenced food insecurity in Southern Ethiopia. Thus, both the demand and supply side factors are the main causes of food insecurity in Southern Ethiopia. Conclusion: Government has to invest in infrastructure so as to link production centres with consumption centres. Transforming the highly vulnerable rain-fed agriculture to more resilient irrigation-based agriculture is crucial so as to boost agricultural productivity and set an end to food insecurity in the country. Provision financial services and off-farm job opportunities for rural unbanked people, population control via family planning or adult education and ensuring political stability can reduce the vulnerability of the population to food insecurity in the study areas.
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