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Journal of Environmental and Public Health
Volume 2012, Article ID 165353, 12 pages
http://dx.doi.org/10.1155/2012/165353
Research Article

An Attempt at Quantifying Factors that Affect Efficiency in the Management of Solid Waste Produced by Commercial Businesses in the City of Tshwane, South Africa

1Department of Civil Engineering, Faculty of Engineering, Tshwane University of Technology, Private Bag X680, Pretoria 0001, South Africa
2Faculty of Economics and Finance, Institute for Economic Research on Innovation (IERI), Tshwane University of Technology, Private Bag X680, Pretoria 0001, South Africa

Received 10 July 2012; Revised 27 September 2012; Accepted 11 October 2012

Academic Editor: Oladele A. Ogunseitan

Copyright © 2012 Yohannes Worku and Mammo Muchie. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Objective. The objective was to investigate factors that affect the efficient management of solid waste produced by commercial businesses operating in the city of Pretoria, South Africa. Methods. Data was gathered from 1,034 businesses. Efficiency in solid waste management was assessed by using a structural time-based model designed for evaluating efficiency as a function of the length of time required to manage waste. Data analysis was performed using statistical procedures such as frequency tables, Pearson’s chi-square tests of association, and binary logistic regression analysis. Odds ratios estimated from logistic regression analysis were used for identifying key factors that affect efficiency in the proper disposal of waste. Results. The study showed that 857 of the 1,034 businesses selected for the study (83%) were found to be efficient enough with regards to the proper collection and disposal of solid waste. Based on odds ratios estimated from binary logistic regression analysis, efficiency in the proper management of solid waste was significantly influenced by 4 predictor variables. These 4 influential predictor variables are lack of adherence to waste management regulations, wrong perception, failure to provide customers with enough trash cans, and operation of businesses by employed managers, in a decreasing order of importance.