Household determinants of food security in rural Central Uganda
Author(s) -
Baptist Semazzi John,
Kakungulu Moses
Publication year - 2020
Publication title -
african journal of agricultural research
Language(s) - English
Resource type - Journals
ISSN - 1991-637X
DOI - 10.5897/ajar2020.14992
Subject(s) - food security , binary logit model , livestock , logistic regression , business , logit , rural area , ordered logit , survey data collection , agricultural economics , geography , socioeconomics , economics , agriculture , political science , medicine , statistics , mathematics , archaeology , machine learning , law , computer science , forestry , econometrics
This study contributes to the literature by presenting empirical evidence on the drivers of rural household food security, which is critical for food security policy implementation. We used household survey data collected from 265 households from rural central Uganda, and a binary logistic regression model to estimate the determinants of household food security. Households with more land size, no livestock, and smaller household size were found as being more food secure. The results suggest the need to: review policies on land tenure system and land use, promote food storage and market for produce and to design strategies to increase household incomes. Key words: Food security, determinants, Logit model, households, Gomba, Uganda.
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