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Using regression analysis to model the performance of UK Coastguard centres

Author

Listed:
  • R B Van der Meer

    (University of Strathclyde)

  • J Quigley

    (University of Strathclyde)

  • J E Storbeck

    (University of Texas at Brownsville)

Abstract

This paper combines the use of (binary) logistic regression and stochastic frontier analysis to assess the operational effectiveness of the UK Coastguard (Maritime Rescue) coordination centres over the period 1995–1998. In particular, the rationale for the Government's decision—confirmed in 1999—to close a number of coordination centres is scrutinized. We conclude that the regression models developed in this paper represent a performance measurement framework that is considerably more realistic and complex than the one apparently used by the UK Government. Furthermore, we have found that the coordination centres selected for closure were not necessarily the ones that were least effective in their primary purpose—that is, to save lives. In a related paper, we demonstrate how the regression models developed here can be used to inform the application of data envelopment analysis to this case.

Suggested Citation

  • R B Van der Meer & J Quigley & J E Storbeck, 2005. "Using regression analysis to model the performance of UK Coastguard centres," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(6), pages 630-641, June.
    • Handle: RePEc:pal:jorsoc:v:56:y:2005:i:6:d:10.1057_palgrave.jors.2601950
    DOI: 10.1057/palgrave.jors.2601950
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    References listed on IDEAS

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    1. R B van der Meer & J Quigley & J E Storbeck, 2005. "Using data envelopment analysis to model the performance of UK coastguard centres," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(8), pages 889-901, August.
    2. Indranil Bardhan & William Cooper & Subal Kumbhakar, 1998. "A Simulation Study of Joint Uses of Data Envelopment Analysis and Statistical Regressions for Production Function Estimation and Efficiency Evaluation," Journal of Productivity Analysis, Springer, vol. 9(3), pages 249-278, March.
    3. Peter Kolesar & Edward H. Blum, 1973. "Square Root Laws for Fire Engine Response Distances," Management Science, INFORMS, vol. 19(12), pages 1368-1378, August.
    4. Abi-Zeid, Irene & Frost, John R., 2005. "SARPlan: A decision support system for Canadian Search and Rescue Operations," European Journal of Operational Research, Elsevier, vol. 162(3), pages 630-653, May.
    5. Brotcorne, Luce & Laporte, Gilbert & Semet, Frederic, 2003. "Ambulance location and relocation models," European Journal of Operational Research, Elsevier, vol. 147(3), pages 451-463, June.
    6. Tser-Yieth Chen, 2002. "A comparison of chance-constrained DEA and stochastic frontier analysis: bank efficiency in Taiwan," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(5), pages 492-500, May.
    7. 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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    Cited by:

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    4. Norrington, Lisa & Quigley, John & Russell, Ashley & Van der Meer, Robert, 2008. "Modelling the reliability of search and rescue operations with Bayesian Belief Networks," Reliability Engineering and System Safety, Elsevier, vol. 93(7), pages 940-949.
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    8. Skarmeas, Dionysis & Leonidou, Constantinos N. & Saridakis, Charalampos, 2014. "Examining the role of CSR skepticism using fuzzy-set qualitative comparative analysis," Journal of Business Research, Elsevier, vol. 67(9), pages 1796-1805.

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