ISSN (Print): 2372-0115

ISSN (Online): 2372-0107

Currrent Issue: Volume 4, Number 3, 2016


Contribution of Rangelands to Household Food Basket and Income in a Pastoral Area in Uganda

1Department of Environment Management, Makerere University, Kampala, Uganda

2Regional Universities Forum for Capacity Building in Agriculture, Kampala, Uganda

3Department of Geography, Geo-informatics and Climatic Sciences, Makerere University, Kampala, Uganda

Journal of Food Security. 2016, 4(3), 68-75
doi: 10.12691/jfs-4-3-3
Copyright © 2016 Science and Education Publishing

Cite this paper:
Betty Mbolanyi, Anthony Egeru, David Mfitumukiza. Contribution of Rangelands to Household Food Basket and Income in a Pastoral Area in Uganda. Journal of Food Security. 2016; 4(3):68-75. doi: 10.12691/jfs-4-3-3.

Correspondence to: Betty  Mbolanyi, Department of Environment Management, Makerere University, Kampala, Uganda. Email:


Rangelands are important ecosystems as they offer livelihood options and food security to many people in Uganda. There is barely any study that has analyzed the intricate relationship between household food basket, income and rangelands in Uganda. This study determined the contribution of rangelands to household food basket and income in Nakaseke district, Uganda. A cross-sectional survey using semi-structured questionnaires was conducted among 180 randomly selected households. The survey was aimed at determining the relationship between rangeland resources, food basket and income. Results showed that rangeland resources contribute significantly (p<0.05) to household food basket and income during both dry and wet seasons. Water, grass and shrubs were the most important rangeland resources in the area. On average, a household expended US$ 4.29 and US$ 4.04 daily on milk during the wet and dry seasons respectively. This accounted for the largest household expenditure on household food items. The household food basket is constituted by milk, meat from cattle and goats, posho, cassava, beans, vegetables, fruits, honey, sugar and oil. Four months; January-March and July-August were observed to have the lowest resource availability during the year. On average, households earned US$ 20.07 per month translating to US$ 240.84 annually. This average is lower than the US$571.9 national estimated per capita income. The average monthly income of the households during the wet and dry seasons was US$ 22.4 and US$ 17.7 respectively. Seasonal differences in income were however non-significant (p>0.05). The logistic regression results showed that size of land owned significantly influences cattle numbers and income at household level but does not influence the number and type of crops cultivated and available food reserves. Seventy three percent (73%) of the households attributed their livestock herd sizes to the presence of vast expanses of the rangeland. These findings show that rangelands are the most important contributors to household food basket as well as household assets such as livestock that have influence on household food security.



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

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

2Ethiopian Institutes of Agricultural Research, Melkassa, Ethiopia

Journal of Food Security. 2016, 4(3), 58-67
doi: 10.12691/jfs-4-3-2
Copyright © 2016 Science and Education Publishing

Cite this paper:
Temesgen Kebede, Jema Haji, Belaineh Legesse, 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.

Correspondence to: Temesgen  Kebede, School of Agricultural Economics, Haramaya University, Dire Dawa, Ethiopia. Email:


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.



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Food Purchasing Behaviors and Food Insecurity among College Students at The University of Texas at San Antonio

1School of Family and Consumer Sciences, Texas State University, 601 University Dr., San Marcos, TX 78666, USA

2Department of Health and Kinesiology, University of Texas at San Antonio, San Antonio, TX, USA

Journal of Food Security. 2016, 4(3), 52-57
doi: 10.12691/jfs-4-3-1
Copyright © 2016 Science and Education Publishing

Cite this paper:
Lesli Biediger-Friedman, Bonnie Sanchez, Meizi He, Jianmin Guan, Zenong Yin. Food Purchasing Behaviors and Food Insecurity among College Students at The University of Texas at San Antonio. Journal of Food Security. 2016; 4(3):52-57. doi: 10.12691/jfs-4-3-1.

Correspondence to: Lesli  Biediger-Friedman, School of Family and Consumer Sciences, Texas State University, 601 University Dr., San Marcos, TX 78666, USA. Email:


A decline in diet quality observed in college students can be attributed to consuming less than the recommended amounts of primary food groups (dairy, fruit, vegetables, and grains) and higher intakes of sweetened beverages. The investigation of food purchasing behaviors may help explain the potential influences, like food security and access to healthy food that may be causing the shift in dietary patterns. This study used receipt analysis and assessed food security in a cross-sectional sample of 258 undergraduate and graduate students. Food security questionnaires and seven-day food and beverage receipt logs were analyzed. Over half of the sampled population were between 21-25 years of age, of which a majority were undergraduates and lived off campus. Results showed that almost a third of the students were classified as having either very low (11.6%) or low (19.4%) food security. The largest amount of money was spent on grocery store purchases. The highest frequency of purchases occurred at fast-food venues and included a sugar-sweetened beverage and fried food. Gender differences were found in fast-food purchases, with males spending an average of $19.27 and females spending an average of $18.29 per week. However, no significant gender differences in the frequency of purchases made at grocery stores, convenience stores, fast-food restaurants, sit-down restaurants or campus dining venues. Moreover, students living in off-campus apartments purchased significantly more fruits and vegetables than students living with parents. The study findings indicate that purchasing patterns persist across levels of food security and for all levels are compounded by less than optimal purchasing of fruit and vegetables.



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