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

Author

Listed:
  • Son Nghiem

    (Centre of National Research on Disability and Rehabilitation Medicine, The University of Queensland, St Lucia Campus, Qld, 4072, Australia)

  • Tim Coelli

    (Centre for Efficiency and Productivity Analysis, The University of Queensland, St Lucia Campus, Qld, 4072, Australia)

  • Scott Barber

    (Workforce Analysis and Research Unit, Policy, Planning and Resourcing Division, Queensland Health, Level 6, Queensland Health Building, 147-163 Charlotte Street, Brisbane Queensland 4000)

Abstract

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.

Suggested Citation

  • Son Nghiem & Tim Coelli & Scott Barber, 2011. "Sources of Productivity Growth in Health Services: A Case Study of Queensland Public Hospitals," Economic Analysis and Policy, Elsevier, vol. 41(1), pages 37-48, March.
    • Handle: RePEc:eee:ecanpo:v:41:y:2011:i:1:p:37-48
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    Citations

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    Cited by:

    1. Antony Andrews & Omphile Temoso & Sean Kimpton, 2021. "Persistent and Transient Inefficiency of Australian States and Territories in Providing Public Hospital Services: An Application of Bayesian Stochastic Finite Mixture Frontier Analysis," Economic Papers, The Economic Society of Australia, vol. 40(2), pages 104-115, June.
    2. Zhichao Wang & Valentin Zelenyuk, 2021. "Performance Analysis of Hospitals in Australia and its Peers: A Systematic Review," CEPA Working Papers Series WP012021, School of Economics, University of Queensland, Australia.
    3. Kar, Ashim Kumar & Rahman, Sanzidur, 2018. "Changes in total factor productivity and efficiency of microfinance institutions in the developing world: A non-parametric approach," Economic Analysis and Policy, Elsevier, vol. 60(C), pages 103-118.
    4. Valentin Zelenyuk & Zhichao Wang, 2023. "Random vs. Explained Inefficiency in Stochastic Frontier Analysis: The Case of Queensland Hospitals," CEPA Working Papers Series WP052023, School of Economics, University of Queensland, Australia.
    5. Mattsson, Pontus, 2019. "The impact of labour subsidies on total factor productivity and profit per employee," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 325-341.
    6. Trakakis Anastasios & Nektarios Miltiadis & Tziaferi Styliani & Prezerakos Panagiotis, 2021. "Measuring Technical Efficiency of Health Centers in Greece: A Data Envelopment Analysis Application for the Primary Health System of Greece," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 1333-1353.
    7. Alexander Karmann & Felix Roesel, 2017. "Hospital Policy and Productivity – Evidence from German States," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1548-1565, December.
    8. Bao Hoang Nguyen & Zhichao Wang & Valentin Zelenyuk, 2023. "Efficiency of Queensland Public Hospitals via Spatial Panel Stochastic Frontier Models," CEPA Working Papers Series WP102023, School of Economics, University of Queensland, Australia.
    9. Tamaki, Tetsuya & Shin, Kong Joo & Nakamura, Hiroki & Fujii, Hidemichi & Managi, Shunsuke, 2018. "Shadow prices and production inefficiency of mineral resources," Economic Analysis and Policy, Elsevier, vol. 57(C), pages 111-121.

    More about this item

    Keywords

    Public health services; productivity growth; Queensland;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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