Water utility efficiency and stated choice responses: status quo effects, effects of presentation format and response time
- Authors: Murwirapachena, Genius
- Date: 2019
- Subjects: Water utilities -- Finance , Waterworks -- Finance Waterworks -- Management
- Language: English
- Type: Thesis , Doctoral , PhD
- Identifier: http://hdl.handle.net/10948/41741 , vital:36577
- Description: Water regulators and policymakers around the world are increasingly influencing water systems towards efficiency and sustainable consumption. In pursuit of these, most regulators mainly use traditional economic-analysis methods to benchmark water utilities and elicit water-service preferences. There have been discussions of several other techniques that extend the commonly used traditional economic analysis tools in the literature. Regardless of these discussions, the practical application of new economic analysis tools in the water sector remains relatively low. This study intends to extend the existing literature by providing more robust methods that could be useful to water regulators. The study asks four research questions to shed light on whether more robust methods are the way forward in water regulation. More precisely, the study investigates the consistency of efficiency scores obtained from the data envelopment analysis (DEA), stochastic frontier analysis (SFA) and stochastic non-parametric envelopment of data (StoNED) techniques on a sample of South African water utilities. Additionally, the study examines the impact of status quo bias, presentation format and response time on results from discrete choice experiments conducted using a case of the South African water sector. The study reports four main findings. First, we find that the StoNED method (based on the methods of moments estimator) outperformed both SFA and DEA. However, SFA outperformed StoNED, when the latter was based on the pseudolikelihood estimator. Second, we find that including a partially relevant status quo reduced status quo bias but did not significantly affect empirical estimates. Major differences are noted in the marginal willingness to pay (MWTP) estimates reported for one of the sub-samples. Third, we find that presenting attributes and levels using the visuals format generated more statistically significant coefficients than presenting them as text or text-and-visuals. Generally, we find that the presentation format significantly affects choice. Finally, we find that removing fast or slow responses from the sample did not significantly affect both utility function and MWTP results. Based on these findings, the study makes four main recommendations. Firstly, the study argues that StoNED (method of moments estimator) and SFA are more appropriate for estimating efficiency in heterogenous water sectors. The study makes recommendations for future studies that seek to do a methodological cross-checking of the three efficiency analysis techniques in the water sector. Secondly, the study argues that a text-and-visuals experiment improves choice task clarity and yields more robust estimates. Thus, more research on the effects of presentation formats is required in environmental economics so that guidelines on developing valid presentation formats for choice tasks can be established. Finally, the study argues against the exclusion of fast and slow responses from the dataset; and recommends approaches for future studies that investigate the impact of response time on choice.
- Full Text:
- Date Issued: 2019
Fiscal policy and unemployment in South Africa 1980 to 2010
- Authors: Murwirapachena, Genius
- Date: 2011
- Subjects: Fiscal policy -- South Africa , Monetary policy -- South Africa , Labor economics -- South Africa , Unemployment -- South Africa , Labor policy -- South Africa
- Language: English
- Type: Thesis , Masters , M Com
- Identifier: vital:11458 , http://hdl.handle.net/10353/544 , Fiscal policy -- South Africa , Monetary policy -- South Africa , Labor economics -- South Africa , Unemployment -- South Africa , Labor policy -- South Africa
- Description: Unemployment is one of the greatest and most complex challenges facing South Africa. Just like most developing countries, South Africa has been using the fiscal policy framework as a tool to alleviate the high rates of unemployment. This study examined the impact of fiscal policy on unemployment in South Africa. The study used annual time series data for the period 1980 to 2010. A vector error correction model was used to determine the effects of fiscal policy aggregates on unemployment in South Africa. The fiscal policy aggregates considered in this study were government investment expenditure, government consumption expenditure and tax. Results from this study revealed that government consumption expenditure and tax have a positive impact on unemployment while government investment expenditure negatively affects unemployment in South Africa. Policy recommendations were made using these results.
- Full Text:
- Date Issued: 2011