International Conference on Global Infectious Diseases and Clinical Vaccines

Desta Dereje Profile

Desta Dereje

Desta Dereje

Biography

I'm Desta Dereje, a PhD candidate at Addis Ababa University, one of Africa's most prestigious universities enrolled at the College of Development Studies to study food security and development. I received my master's degree in livelihood and development from Addis Ababa University after earning my first bachelor's degree in rural development and agricultural extension from Arba Minch University. Prior to enrolling in the PhD program, I was a lecturer at Arba Minch University for five years. Reading, research, playing, and charitable work are some of my passions. In terms of national and international standards, my professional goal is to become the most renowned and important researcher in the fields of food security, nutrition, development, project management, and their policy consequences.

Research Interest

Abstract

Determinants of household resilience to food insecurity for comparison: The case of Chencha district, Southern Ethiopia

Food insecurity is a historical global human challenge, but has yet remained a burning development agenda. The capacity to withstand and recover from food insecurity shocks and stresses refereed as resilience, which is determined by a strand of factors. This paper deals with measuring and; identifying major determinants of household resilience to food insecurity among weaving-based livelihood system in Chencha district. Multi-stage sampling technique was employed to generate data from 303 sample households through household survey, focus group discussion, and key informant interviews. The collected data were analyzed by using descriptive statistics, household resilience index, chi-square test, one-way ANOVA and econometric model (probit regression). The household survey revealed that 59.04% households were nonresilient, 24.42% were moderately resilient, 10.89% resilient and 4.95% highly resilient. The Chi-square and one-way ANOVA tests have shown a meaningful and statistically significant difference among resilience categories. Finally, probit model analysis indicated that access to credit, average years of family education, crop diversity, income diversity, landholding size, TLU, expected crop harvest, expected cash income from fruit trees, frequency of extension contact, FCS, annual food expenditure, ownerships of Radio, Jewelry, furnished bed, membership in local associations, and distance to local market have positively influenced the likelihood of attaining higher household resilience at CI 95% or P<1%, 5% and 10%. Whereas; lack of access to mobile phone, inability to read and write, family business, formal employment, and transfers of payment have decreased likelihood of households to achieve higher resilience level. Therefore, improving household access to credit, education, income diversification, livestock and land, agricultural extension services, membership to local associations, mobile service, and income diversification would enhance household income and food security, which could in turn improve household resilience to food insecurity.