Ownership, Productivity Change in the Australian Urban Water Sector: a Bootstrap Malmquist indices approach

Ananda, Jayanath and Gitto, Simone and Mancuso, Paolo (2013): Ownership, Productivity Change in the Australian Urban Water Sector: a Bootstrap Malmquist indices approach.

Abstract

This paper provides a comprehensive productivity analysis of 53 Australian water service providers during the period 2006-2012. Pressures for sector reform have stimulated interest in identifying and understanding the factors that can contribute to improve the performance of Australian water utilities. The aim is to provide to the policy-makers quantitative-evidences that allow to identify the best interventions, in relation to the alternative forms of ownership that characterize the water utilities in the different territories\states of Australia, to obtain productivity gains.

• Item Type: MPRA Paper
• Language: English
• Keywords: Australian water utilities, DEA, bootstrap, kernel density, ownership
• Subjects: D - Microeconomics > D2 - Production and Organizations > D24 - Production ; Cost ; Capital ; Capital, Total Factor, and Multifactor Productivity ; Capacity; L - Industrial Organization > L9 - Industry Studies: Transportation and Utilities > L95 - Gas Utilities ; Pipelines ; Water Utilities

References

Australian Government, National Water commission. (2007-). National performance report.

Ceccobelli, M., Gitto, S. and P. Mancuso (2011) “ICT e crescita un’analisi DEA per 14 paesi OECD”, L’Industria, Vol. 23, No. 3, pp.435–454.

Ceccobelli, M., Gitto, S. and P. Mancuso (2012) “ICT capital and labour productivity growth: a non-parametric analysis of 14 OECD countries”, Telecommunications Policy, Vol. 36, No. 4, pp.282–292.

Coelli T and S. Walding (2005) “Performance Measurement in the Australian Water.” CEPA Working Paper Series No. 01/2005.

Curi, C., Gitto, S. and P. Mancuso (2008) “Un’applicazione della Data Envelopment Analysis (DEA) per la misurazione dell’efficienza degli aeroporti italiani dopo la privatizzazione del settore”, L’Industria, Vol. 4, No. 4, pp.689–712.

Curi, C., Gitto, S. and P. Mancuso (2011) “New evidence on the efficiency of Italian airports: a bootstrapped DEA analysis”, Socio-Economic Planning Sciences, Vol. 45, No. 1, pp.84–93.

Djema, H. and M. Djerdjouri (2012) “A two-stage DEA with partial least squares regression model for performance analysis in healthcare in Algeria”, International Journal of Applied Decision Sciences, Vol. 5, No. 2, pp.118–141.

De Nicola A., Gitto S. and P. Mancuso (2012), “Uncover the predictive structure of healthcare efficiency applying a bootstrapped data envelopment analysis”, Expert Systems with Applications, 39(12), 10495-10499.

De Nicola A., Gitto S. and P. Mancuso (2013a), “Evaluating Italian Public hospital efficiency using bootstrap DEA and CART”. International Journal of Applied Decision Sciences 6(3), 281-292.

De Nicola A., Gitto S., Mancuso P. and V. Valdmanis (2013b) “Health Care Reform in Italy: an analysis of efficiency based on nonparametric methods” The International Journal of Health Planning and Management. DOI 10.1002/hpm.2183.

De Nicola A., Gitto S. and P. Mancuso (2013c) “Airport quality and productivity change: a Malmquist index decomposition assessment” Transportation Research Part E: Logistic and Trasportation Review 58, 67-75.

Färe R., Grosskopf,S., Lindgren, B. and P. Roos (1992) “Productivity changes in Swedish pharmacies 1980–1989:a non parametric approach” Journal of Productivity Analysis 3,85–101.

Ferrier, G.D., Rosko, M.D. and V. Valdmanis (2006) ‘Analysis of uncompensated hospital care using a DEA model of output congestion’, Health Care Manage Science, Vol. 9, No. 2, pp.181–188.

Gitto, S. and P. Mancuso (2012a) “Bootstrapping the Malmquist indexes for Italian airports”, International Journal of Production Economics, Vol. 135, No. 1, pp.403–411.

Gitto, S. and P. Mancuso (2012b) “Two faces of airport business: a non-parametric analysis of the Italian airport industry”, Journal of Air Transport Management, Vol. 20, pp.39–42.

Grosskopf, S. and V. Valdmanis (1993) “Evaluating hospital performance with case-mix adjusted outputs”, Medical Care, Vol. 31, No. 6, pp.525–532.

Grosskopf, S., Margaritis, D. and V. Valdmanis (2001) “Comparing teaching and non-teaching hospitals: a frontier approach (teaching vs. non-teaching hospitals)”, Health Care Management Science, Vol. 4, No. 2, pp.83–90.

Grosskopf, S., Margaritis, D. and V. Valdmanis (2004) “Competitive effects on teaching hospitals.” European Journal of Operation Research, Vol. 154, No. 2, pp.515–525.

Kneip, A., Simar, L. and PW Wilson (2011) “A computationally efficient, consistent bootstrap for inference with non-parametric DEA estimators”, Computational Economics, Vol. 38, No. 4, pp.483–515.

Li, Q., Maasoumi, E. and Racine J.S. (2009), “A Nonparametric Test for Equality of Distributions with Mixed Categorical and Continuous Data,” Journal of Econometrics, 148, pp 186-200.

Lovell, C.A.K., 1993. Production frontiers and productive efficiency, in Fried, H.O., Lovell, C.A.K., and Schmidt, S.S. (Eds.). The Measurement of Productive Efficiency: Techniques and Applications, Oxford University Press, Network York.

Simar, L. and PW Wilson (1998) “Sensitivity analysis of efficiency scores: How to bootstrap in non-parametric frontier models”. Management Science, 44, 49–61.

Simar, L. and PW Wilson (1999) “Estimating and bootstrapping Malmquist indices”. European Journal of Operational Research 115,459–471.

Simar, L. and PW Wilson (2008), “Statistical inference in nonparametric frontier models: recent developments and perspectives”, in The measurement of productive efficiency and productivity growth, 421-521.