Editorial

摘要

In the first paper, Mugisha (2013a) utilizes Markov processes to forecast service coverage and non-revenue water use. The paper uses empirical data on service coverage and billing efficiency from 2003-2010 from the main water utility in Uganda, National Water and Sewerage Corporation (NWSC). Markov processes were used to enhance the understanding and visualisation of explanatory factors underlying past trends, forming a basis for forecasting. The results show that although coverage and billing policies may be adequate for operational purposes, utility policies may lead to a 'less-than expected' rate of exponential growth in the long-run, if attention is not given to uncertainties such as the socio-economic status of users, population growth, performance focus and resource allocation efficiencies.