Performance Measurement in the Australian Water Supply Industry

Various government-owned businesses provide water supply services to Australian residents. With the advent of recent competition and regulatory reforms in infrastructure industries in Australia, more and more of these businesses are now facing new types of incentive-based regulatory regimes. This has led to a desire for more information on the performance of these businesses, both relative to each other and over time. In this study we use panel data on the 18 largest Australian water services businesses, observed over an eight-year period from 1995/6 to 2002/3, to measure the relative efficiency and productivity growth of these businesses. Data envelopment analysis (DEA) methods are used to obtain estimates of the multi-input, multi-output production technology. The potential use of these performance measures in price-cap regulation is discussed, where the effects of variable selection and data quality upon empirical results is emphasised.

Regulatory Reform and Economic Performance in US Electricity Generation

In this paper we investigate the effect of the introduction of incentive regulation upon the total factor productivity (TFP) growth of electricity generation companies in the United States, using sample data on 61 firms observed over a 13-year period from 1986 to 1998. Empirical estimates of TFP growth are obtained using three techniques: Tornqvist index numbers, a stochastic cost frontier and a stochastic input distance function. The results obtained using the stochastic cost frontier are discarded because they are found to differ from those obtained using the other techniques, apparently as a consequence of violations of the required cost minimizing behavioral assumptions, which are not uncommon in regulated industries. Tests of hypotheses regarding the effect of regulatory reform upon TFP (using the distance function results) indicate that the introduction of incentive regulation has not had the desired positive effect upon the economic performance of the firms involved. In fact, in the case of these data, we find that performance is negatively related with the introduction of the new regulatory regimes, a result that is the opposite of the theoretical predictions.

The Effects of Competition Policy on TFP Growth: Some Evidence from the Malaysian Electricity Supply Industry

The main objectives of this paper are to measure total factor productivity (TFP) growth in the electricity supply industry in Peninsular Malaysia from 1975 to 2005 and to assess the impact of private entry reforms upon TFP in this industry. Prior to 1995, a government-linked, vertically-integrated electricity utility, Tenaga Nasional Berhad (TNB), was essentially the sole operator. However, since 1995 privately-owned Independent Power Producers (IPPs) have also begun generating electricity, all of which is purchased by TNB under fixed Power Purchase Agreements (PPAs). The introduction of IPPs has reduced the need for TNB to find finance for new power plants. It has been argued that the participation of IPPs in the electricity generation industry should also facilitate improvements in industry productivity; however this proposition is yet to be tested. In this study we calculate TFP growth using Törnqvist index methods, finding that there is no direct evidence of productivity improvements attributable to the privatization. Furthermore, it is not clear that consumers have benefited from this, since the PPAs have generally been quite generous to the IPPs in terms of risk sharing and prices paid.

A Bayesian Approach To Imposing Curvature On Distance Functions

The estimated parameters of output distance functions frequently violate the monotonicity, quasiconvexity and convexity constraints implied by economic theory, leading to estimated elasticities and shadow prices that are incorrectly signed, and ultimately to perverse conclusions concerning the effects of input and output changes on productivity growth and relative efficiency levels. We show how a Bayesian approach can be used to impose these constraints on the parameters of a translog output distance function. Implementing the approach involves the use of a Gibbs sampler with data augmentation. A Metropolis-Hastings algorithm is also used within the Gibbs to simulate observations from truncated pdfs. Our methods are developed for the case where panel data is available and technical inefficiency effects are assumed to be time-invariant. Two models � a fixed effects model and a random effects model � are developed and applied to panel data on 17 European railways. We observe significant changes in estimated elasticities and shadow price ratios when regularity restrictions are imposed

Quantifying the effects of modelling choices on hospital efficiency measures: A meta-regression analysis

It has often been argued that the results of efficiency analyses in health care are influenced by the modelling choices made by the researchers involved. In this paper we use meta-regression analysis in an attempt to quantify the degree to which modelling factors influence efficiency estimates. The data set is derived from 253 estimated models reported in 95 empirical analyses of hospital efficiency in the 22-year period from 1987 to 2008. A meta-regression model is used to investigate the degree to which differences in mean efficiency estimates can be explained by factors such as: sample size; dimension (number of variables); parametric versus non-parametric method; returns to scale (RTS) assumptions; functional form; error distributional form; input versus output orientation; cost versus technical efficiency measure; and cross-sectional versus panel data. Sample size, dimension and RTS are found to have statistically significant effects at the 1% level. Sample size has a negative (and diminishing) effect on efficiency; dimension has a positive (and diminishing) effect; while the imposition of constant returns to scale has a negative effect. These results can be used in improving the policy relevance of the empirical results produced by hospital efficiency studies.

Sources of Productivity Growth in Health Services: A Case Study of Queensland Public Hospitals

Improving the performance of health sector is one of the most popular issues in Queensland, Australia. This paper contributes to this important policy debate by examining the efficiency of health facilities in Queensland using the Malmquist Productivity Index (MPI). This method is selected because it is suitable for the multi-input, multi-output, and not-for-profit natures of public health services. In addition, with the availability of panel data we can decompose productivity growth into useful components, including technical efficiency changes, technological changes and scale changes. The results revealed an average of 1.6 per cent of growth in total factor productivity (TFP) among Queensland public hospitals in the study period. The main component contribute to the modest improvement of TFP during the period was catching-up at an average of 1.0 per cent. SFA estimates suggest that the number of nurses is the most influential determinant of output.Public health services, productivity growth, Queensland

MEASUREMENT OF AGRICULTURAL TOTAL FACTOR PRODUCTIVITY GROWTH INCORPORATING ENVIRONMENTAL FACTORS: A NUTRIENTS BALANCE APPROACH

This paper develops a new measure of total factor productivity growth in agricultural production which incorporates environmental effects. The new measure is called the Total Factor Nutrient-Orientated Productivity (TFNP) Index, and incorporates a materials balance condition. TFNP measures changes in nutrient-orientated efficiency and can be decomposed into efficiency change (EC), technological change (TC) and nutrient-orientated technological change (NTC) components. An empirical analysis, involving country-level data from OECD countries during 1990-2003, is provided using DEA methods. Estimates of mean technical and nutrient-orientated efficiency are 0.798 and 0.526, respectively. Estimated mean TFNP growth is 1.5% per year, with nutrient-orientated technological progress contributing 0.8%.Total factor productivity, environment, nutrient balance, DEA, Productivity Analysis, Environmental Economics and Policy,