This book is based on a comprehensive survey that was conducted in the City of Tshwane, South Africa to identify key predictors of efficiency in the management of solid waste produced by 1, 034 commercial businesses operating in the city. Efficiency in the management of solid waste was measured based on a structural time-based model. Data analyses were performed by fitting a binary logistic regression model and multilevel analysis. The study showed that 17% of the businesses selected for the study were inefficient with regards to the management of solid waste. The study identified four predictors of efficiency in the management of solid waste. These four predictor variables were lack of adherence to waste management regulations, wrong perception on the value and importance of proper management of waste, failure to provide customers with enough trash cans, and the operation of businesses by non-owners, in a decreasing order of importance. Results obtained from multilevel analysis showed that efficiency in the management of solid waste varied significantly depending on category of solid waste (23.05%) and geographical location (19.45%). The main lesson is to draw policy learning on how to manage waste and promote healthy living for all the people in the urban settings.
                                                                                                        *********************
The effective urban management of our cities will require robust studies that advance our understanding of our urban systems and enable innovative solutions that are contextualized and effective. This book is an important contribution in this regard.
—Dr. Geci Karuri-Sebina, South African Cities Network

The book is of immense value and contribution to the relevant literature on municipal solid waste management in the City of Tshwane. Findings of the study could be used for enhancing overall efficiency in the management of municipal solid waste in developing cities of Africa.
—Dr. Solomon Thabo Khale, City of Tshwane, South Africa