The study aimed at investigating the factors that affect the efficient management of wastes produced by food outlets in Pretoria, South Africa. This was with a view of providing empirical data and information with respect to the causative factors responsible for the visible environmental pollution by wastes and materials from food outlets. Data was gathered from a representative sample of 332 food outlets on socio-economic, demographic, environmental, sanitary and health related variables that are related to waste management and efficiency in the disposal of solid and liquid wastes. Data entry and analysis was performed using statistical procedures such as frequency tables, Pearson’s chi-square tests of association and binary logistic regression analysis in the statistical package STATA version 10. Odds ratios estimated from logistic regression analysis were used for identifying key factors that affect efficiency in the proper disposal of waste. Results obtained showed that 18 % of the 332 food outlets in the study were generally inefficient in waste disposal. Based on odds ratios estimated from binary logistic regression analysis, wrong perception (a factor of 10.88), failure to provide trash cans to customers (a factor of 3.15), the operation of food outlets by non-owners or managers (a factor of 2.33), and failure to practice source reduction of waste (a factor of 2.25) are the top 4 influential factors that affect the proper management of waste at the 332 food outlets in the study. / Environmental Sciences / M. Sc. (Environmental Management)

The study aimed at investigating the factors that affect the efficient management of wastes produced by food outlets in Pretoria, South Africa. This was with a view of providing empirical data and information with respect to the causative factors responsible for the visible environmental pollution by wastes and materials from food outlets. Data was gathered from a representative sample of 332 food outlets on socio-economic, demographic, environmental, sanitary and health related variables that are related to waste management and efficiency in the disposal of solid and liquid wastes. Data entry and analysis was performed using statistical procedures such as frequency tables, Pearson’s chi-square tests of association and binary logistic regression analysis in the statistical package STATA version 10. Odds ratios estimated from logistic regression analysis were used for identifying key factors that affect efficiency in the proper disposal of waste. Results obtained showed that 18 % of the 332 food outlets in the study were generally inefficient in waste disposal. Based on odds ratios estimated from binary logistic regression analysis, wrong perception (a factor of 10.88), failure to provide trash cans to customers (a factor of 3.15), the operation of food outlets by non-owners or managers (a factor of 2.33), and failure to practice source reduction of waste (a factor of 2.25) are the top 4 influential factors that affect the proper management of waste at the 332 food outlets in the study. / Environmental Sciences / M. Sc. (Environmental Management)