Abstract

The paper examines the status and factors affecting food insecurity of rural household in Babile Ethiopia. A two-stage random sampling procedure was used to select 150 sample households from four kebeles. Both primary and secondary methods of data collection were used. Descriptive statistics and binary logit model were used as methods of data analysis. Binary logit model identified five out of ten variables included in the model as significant factors of rural household food insecurity. Size of cultivated land, educational status of the household head, annual farm income, use of improved variety, and insect and pest infestation problem were found significant factors influencing household food insecurity. The results of econometric analysis made it clear that these factors were the major determinants of household food insecurity in the study area. Key words: Food, factors, binary logit model, rural households, Babile district, Ethiopia.

Highlights

  • Food security has become a crucial agendum all over the world because food is a very fundamental human right that transcends cultural, political background, and religious beliefs

  • The result of the analysis indicates that insect and pest infestation problem positively and significantly affected the household food insecurity at less than one percent probability level

  • The finding of the study indicates that 57% of samplehouseholds were unable to meet the minimum average daily calorie intake per adult equivalent

Read more

Summary

Introduction

Food security has become a crucial agendum all over the world because food is a very fundamental human right that transcends cultural, political background, and religious beliefs. The right to food is acknowledged in universal declaration of human rights as well as the international covenant on economic, social and cultural rights (ICESCR) which bring consequences to the state to ensure right to food which consists of obligation to respect, protect and fulfill (Hadiprayitno, 2010). Ethiopia remains one of the poorest countries in the world with human development index ranking 157 out of 169 countries reported (UNDP, 2010). With US$ 350, the country’s per capita income is much lower than the subSaharan Africa average of US$ 1,077 in the year 2009

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call