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Time-varying production efficiency in the health care foodservice industry: A Bayesian method

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  • Assaf, A. George
  • Josiassen, Alexander

Abstract

Cost containment, budget control, and improvements in efficiency are key drivers of the way health care foodservice operations (internal hospital foodservice departments that produce/reheat food and deliver them to patients) will respond to emerging economic and population trends. These factors are the motivation for this study, which aims to assist health care policy makers in identifying operational strategies for efficiency improvements. The study applies a Bayesian method in deriving to efficiency estimates, using panel data on key Australian hospitals. The results show that the model satisfies the theoretical economic requirements. Important relationships are identified between the level of meal production and other input and environmental variables. The efficiency results indicate that the performance of health care foodservice operations is improving over time and reached its highest level in the operating year 2007. The paper identifies some factors related to efficiency improvements, and offers some suggestions for future improvement strategies.

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  • Assaf, A. George & Josiassen, Alexander, 2012. "Time-varying production efficiency in the health care foodservice industry: A Bayesian method," Journal of Business Research, Elsevier, vol. 65(5), pages 617-625.
    • Handle: RePEc:eee:jbrese:v:65:y:2012:i:5:p:617-625
    DOI: 10.1016/j.jbusres.2011.02.049
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    References listed on IDEAS

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    1. Hughes, David & McGuire, Alistair, 2003. "Stochastic demand, production responses and hospital costs," Journal of Health Economics, Elsevier, vol. 22(6), pages 999-1010, November.
    2. Chow, Clement Kong-Wing & Fung, Michael Ka-Yiu, 1997. "Measuring the Technological Leadership of International Joint Ventures in a Transforming Economy," Journal of Business Research, Elsevier, vol. 39(2), pages 147-157, June.
    3. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    4. Dranove, David & Lindrooth, Richard, 2003. "Hospital consolidation and costs: another look at the evidence," Journal of Health Economics, Elsevier, vol. 22(6), pages 983-997, November.
    5. Preyra, Colin & Pink, George, 2006. "Scale and scope efficiencies through hospital consolidations," Journal of Health Economics, Elsevier, vol. 25(6), pages 1049-1068, November.
    6. Giokas, Dimitris I., 2008. "Assessing the efficiency in operations of a large Greek bank branch network adopting different economic behaviors," Economic Modelling, Elsevier, vol. 25(3), pages 559-574, May.
    7. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    8. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    9. Rezitis, Anthony N., 2008. "Efficiency and productivity effects of bank mergers: Evidence from the Greek banking industry," Economic Modelling, Elsevier, vol. 25(2), pages 236-254, March.
    10. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    11. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    2. Olga Goncalves & Elisabeth Robinot & Hélène Michel, 2015. "Does It Pay to Be Green? The Case of French Ski Resorts," Grenoble Ecole de Management (Post-Print) hal-01591790, HAL.

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