Although the efficiency of the water sector has been studied extensively utilising data envelopment analysis (DEA), the literature tends to use the conventional DEA model to compute efficiency scores. However, conventional DEA input/output data may contain random errors, which may result in distorted efficiency frontiers due to statistical noise.
data envelopment analysis
The study investigated the technical efficiency of the commercial banks in Zimbabwe during the period 2009-2015. The study entailed the decomposition of the technical efficiency into pure technical and scale efficiency to understand the sources of the technical inefficiency of the commercial banks in Zimbabwe.
The study was meant to evaluate the cost and revenue efficiency of the Zimbabwean banking sector during the period 2009-2014. The study employed the Data Envelopment Analysis and the Tobit Regression methods. The estimation of cost and revenue efficiency shows that revenue and cost efficiency increased during the period 2009-2012. This coincided with high positive growth rates and economic stability. Efficiency declined in 2013-14 as a result of government controls on banking sector pricing and general decline in economic activity.
In measuring technical and scale efficiency of Tanzanian Saving and Credit Cooperatives we used a sample of 103 audited financial statements during 2011. Data envelopment analysis was employed to explore the efficiency scores. The results show that average scores are 42%, 52% and 76% for technical, pure technical and scale efficiencies respectively. Since most of the inefficiencies are either technical or scale in nature, the study recommends increasing the operating scale for smaller firms. Firms operating beyond the optimal scale may need to downsize.
South Africa‘s financial sector is believed to have weathered the contagion and catastrophic effects of the 2008 world wide financial crisis partly on account of a sound regulatory framework and solid macroeconomic policies. In this paper, we seek to measure efficiency and productivity changes during the period of the crisis through an analysis of bank performance over the period 2000 — 2010 using a two stage methodology framework.