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Labor inspectorates’ efficiency and effectiveness assessment as a learning path to improve work-related accident prevention

Author

Listed:
  • António J. R. Santos

    (University of Algarve and Portuguese Authority for Working Conditions (ACT))

  • Sérgio P. Santos

    (University of Algarve)

  • Carla A. F. Amado

    (University of Algarve)

  • Efigénio L. Rebelo

    (University of Algarve)

  • Júlio C. Mendes

    (University of Algarve)

Abstract

Labor inspectorates, by monitoring and enforcing labor legislation, giving information and technical advice to employers and employees, promoting awareness-raising campaigns and implementing occupational risk prevention policies, play a fundamental role in promoting safer and healthier working conditions and, ultimately, in reducing the number of work-related accidents. Even so, every year, hundreds of thousands of people die from accidents at work and around 2 million die from occupational diseases, highlighting that considerable room for improvement remains. The identification and sharing of best practices in labor inspection can be a useful first step in this direction. The main purpose of this research is to propose Data Envelopment Analysis as a suitable technique for assessing the performance of labor inspectorates and identifying best practices. The potential of the proposed methodology is tested by using it to assess the efficiency and the effectiveness of the 32 local branches of the Portuguese Authority for Working Conditions, a key player of the Portuguese system of occupational risk prevention, and by exploring its value in identifying best practices and possible paths for performance improvement.

Suggested Citation

  • António J. R. Santos & Sérgio P. Santos & Carla A. F. Amado & Efigénio L. Rebelo & Júlio C. Mendes, 2020. "Labor inspectorates’ efficiency and effectiveness assessment as a learning path to improve work-related accident prevention," Annals of Operations Research, Springer, vol. 288(2), pages 609-651, May.
  • Handle: RePEc:spr:annopr:v:288:y:2020:i:2:d:10.1007_s10479-019-03287-y
    DOI: 10.1007/s10479-019-03287-y
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    as
    1. Esmeralda Ramalho & Joaquim Ramalho & Pedro Henriques, 2010. "Fractional regression models for second stage DEA efficiency analyses," Journal of Productivity Analysis, Springer, vol. 34(3), pages 239-255, December.
    2. V V Podinovski, 2004. "Production trade-offs and weight restrictions in data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(12), pages 1311-1322, December.
    3. Göbel, Christian & Zwick, Thomas, 2013. "Are personnel measures effective in increasing productivity of old workers?," Labour Economics, Elsevier, vol. 22(C), pages 80-93.
    4. Podinovski, V.V., 2007. "Computation of efficient targets in DEA models with production trade-offs and weight restrictions," European Journal of Operational Research, Elsevier, vol. 181(2), pages 586-591, September.
    5. Lidia Angulo-Meza & Marcos Lins, 2002. "Review of Methods for Increasing Discrimination in Data Envelopment Analysis," Annals of Operations Research, Springer, vol. 116(1), pages 225-242, October.
    6. A S Camanho & R G Dyson, 1999. "Efficiency, size, benchmarks and targets for bank branches: an application of data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(9), pages 903-915, September.
    7. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    8. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181, Decembrie.
    9. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    10. Russell G. Thompson & F. D. Singleton & Robert M. Thrall & Barton A. Smith, 1986. "Comparative Site Evaluations for Locating a High-Energy Physics Lab in Texas," Interfaces, INFORMS, vol. 16(6), pages 35-49, December.
    11. Rogge, Nicky & De Jaeger, Simon & Lavigne, Carolien, 2017. "Waste Performance of NUTS 2-regions in the EU: A Conditional Directional Distance Benefit-of-the-Doubt Model," Ecological Economics, Elsevier, vol. 139(C), pages 19-32.
    12. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    13. R. Allen & A. Athanassopoulos & R.G. Dyson & E. Thanassoulis, 1997. "Weights restrictions and value judgements in Data Envelopment Analysis: Evolution, development and future directions," Annals of Operations Research, Springer, vol. 73(0), pages 13-34, October.
    14. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    15. A Zanella & A S Camanho & T G Dias, 2013. "Benchmarking countries’ environmental performance," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(3), pages 426-438, March.
    16. Zanella, Andreia & Camanho, Ana S. & Dias, Teresa G., 2015. "Undesirable outputs and weighting schemes in composite indicators based on data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 245(2), pages 517-530.
    17. Rajiv D. Banker & Victor V. Podinovski, 2017. "Novel theory and methodology developments in data envelopment analysis," Annals of Operations Research, Springer, vol. 250(1), pages 1-3, March.
    18. Rajiv D. Banker & Ram Natarajan, 2008. "Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis," Operations Research, INFORMS, vol. 56(1), pages 48-58, February.
    19. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    20. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    21. Thompson, Russell G. & Langemeier, Larry N. & Lee, Chih-Tah & Lee, Euntaik & Thrall, Robert M., 1990. "The role of multiplier bounds in efficiency analysis with application to Kansas farming," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 93-108.
    22. Mackelprang, Alan W. & Jayaram, Jayanth & Xu, Kefeng, 2012. "The influence of types of training on service system performance in mass service and service shop operations," International Journal of Production Economics, Elsevier, vol. 138(1), pages 183-194.
    23. Ali Emrouznejad, 2014. "Advances in data envelopment analysis," Annals of Operations Research, Springer, vol. 214(1), pages 1-4, March.
    24. Hoff, Ayoe, 2007. "Second stage DEA: Comparison of approaches for modelling the DEA score," European Journal of Operational Research, Elsevier, vol. 181(1), pages 425-435, August.
    25. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    26. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    27. Rajiv D. Banker & Richard C. Morey, 1986. "Efficiency Analysis for Exogenously Fixed Inputs and Outputs," Operations Research, INFORMS, vol. 34(4), pages 513-521, August.
    28. Fusco, Elisa, 2015. "Enhancing non-compensatory composite indicators: A directional proposal," European Journal of Operational Research, Elsevier, vol. 242(2), pages 620-630.
    29. Scheel, Holger, 2001. "Undesirable outputs in efficiency valuations," European Journal of Operational Research, Elsevier, vol. 132(2), pages 400-410, July.
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