Socio-economic and Demographic factors affecting the likelihood of being an overweight Korean woman

Using data from urban Korean women survey the study examines factors associated with the BMI >= 25, indicating overweight or obesity. Logit equation results identify low income, low education, household location and preference for convenience, sweet-tasting foods and home vegetable processing as characteristics linked to a high BMI.BMI, Overweight, Korea, Woman, Socio-economic factors, Health Economics and Policy,

Peanut Paste/ Butter Consumption Frequency in the Republic of Uganda: Count Data Model Approach

Peanut paste/butter consumption frequency in the Republic of Uganda is analyzed using a household survey data. Estimation results from Zero-inflated Binomial regression conclude that education, household location, color of peanut paste, etc. are important. The ordinal logistic results conclude that peanut paste/butter consumption with vegetables is the most preferred option

Can Organically Produced Foods Attract South Korean Consumers?

Differences in perception of organic and conventional foods matter to food suppliers and retailers. Using survey data collected from 1,100 female residents of seven urban centers in Korea this study applies the logit technique to identify consumer and household characteristics that influence the perception differences regarding six attributes. Results indicate the importance of household income with regard to organic food preference and the opposite effect of education. Perceptions also differed across locations, while the effects of other characteristics varied in case of the six attributes. Food marketers must account for income, education and location of consumers to plan sales strategies

Socio-economic and Demographic factors affecting the likelihood of being an overweight Korean woman

Using data from urban Korean women survey the study examines factors associated with the BMI >= 25, indicating overweight or obesity. Logit equation results identify low income, low education, household location and preference for convenience, sweet-tasting foods and home vegetable processing as characteristics linked to a high BMI

Factors Driving Fruit and Vegetable Expenditures and Consumption Frequency in Lesser Developed Country: an Analysis of Urban Households from the Republic of Uganda

Factors affecting fresh fruit and vegetable expenditures in urban households of Uganda are analyzed employing the censored quantile regression. Results indicate that income elasticity of expenditure for fresh fruits exceeds one in 25th quantile, and reduces drastically in upper quantiles; for fresh vegetables income is relatively inelastic across different quantiles

Shopping outlet choice and frequency in urban areas of the Republic of Uganda

This study examines the factors that decide where and how frequently members of urban households in the Republic of Uganda shop for food. Multivariate probit results reveal that income, education, employment status, household composition, and location influence shopping frequency in all five outlet types selected for this study. Study results provide rare insights about shopping format choice by consumers in lesser developed countries

Can Organically Produced Foods Attract South Korean Consumers?

Differences in perception of organic and conventional foods matter to food suppliers and retailers. Using survey data collected from 1,100 female residents of seven urban centers in Korea this study applies the logit technique to identify consumer and household characteristics that influence the perception differences regarding six attributes. Results indicate the importance of household income with regard to organic food preference and the opposite effect of education. Perceptions also differed across locations, while the effects of other characteristics varied in case of the six attributes. Food marketers must account for income, education and location of consumers to plan sales strategies.Consumer/Household Economics, Food Consumption/Nutrition/Food Safety,

Drivers of Regular Consumption of Fresh Fruit and Vegetables in Urban Households of the Republic of Uganda

Malnutrition poses health risks for the people in the Republic of Uganda. An increased consumption of fruits and vegetables which are rich in nutrients can substantially reduce these risks. To efficiently implement programs enhancing consumption of fruits and vegetables, knowledge about the consumption pattern across households is essential. This study examines factors that affect the regular consumption of eight selected fresh fruits and seven selected fresh vegetables across urban households in Uganda. The multivariate probit regression method applied to household survey data identifies relevant factors. Results show that education, age, gender, number of children, and location are important factors determining regular consumption. Knowledge of these factors provides guidance for policy makers in public and private institutions for targeting specific segments of the population in urban locations for effective implementation of programs promoting fruit and vegetable consumption

Attitudes of Urban Female Consumers Toward Food Production Practices in the Republic of Korea

Socioeconomic, demographic and location characteristics and also opinions and views of South Korean urban females were analyzed to understand how these characteristics influence preferences for foods produced through different food production practices. Employing the generalized ordinal logistic model, it is found that education of the respondent and locations of the household have significant influence on preferences. Age and income influence these preferences to a certain extent and respondents’ opinions on the use of pesticides and importance of other food attributes have greater influence on preferences for foods produced by different practices

Analysis of Various Household Expenditures at Urban Households in the Republic of Uganda: A Multivariate Tobit Approach

Variations in different household expenditures across urban households in the Republic of Uganda are studied using a survey data. Multivariate Tobit estimation method is employed to quantify the effects of various factors, including household income. Expenditure elasticities of income vary across different categories of expenditures. Location and other factors such as education influence the expenditure decision