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Identifying traffic safety best practice: an application of DEA and Malmquist indices

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  • Odeck, James

Abstract

DEA is used in this paper to investigate target achievements of the operational units of the Norwegian Public Roads Administration (NPRA) charged with traffic safety services. The DEA framework applied corresponds to a BCC model with a unique constant input, or equivalently, with no inputs. This framework is further extended to a DEA-based Malmquist index to measure productivity growth in target achievements. Finally, we use a bootstrapping method to ascertain confidence intervals for efficiency scores derived and to test hypotheses on the extent of productivity growth or regress. The mean efficiency scores by which targets are achieved across the sample years are in the range 0.81-0.93 and significant at the 5% level. Total productivity in target achievements shows progress with significance, on average at 7%. Much of the progress is attributed to technological progress. The results illustrate the usefulness of using a decomposable index for productivity measurement, and the use of bootstrapping for sensitivity tests.

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  • Odeck, James, 2006. "Identifying traffic safety best practice: an application of DEA and Malmquist indices," Omega, Elsevier, vol. 34(1), pages 28-40, January.
    • Handle: RePEc:eee:jomega:v:34:y:2006:i:1:p:28-40
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    Cited by:

    1. Odeck, James, 2009. "Statistical precision of DEA and Malmquist indices: A bootstrap application to Norwegian grain producers," Omega, Elsevier, vol. 37(5), pages 1007-1017, October.
    2. Byeong U. Park & Léopold Simar & Valentin Zelenyuk, 2013. "Non-Parametric Approach to Dynamic Time Series Discrete Choice Models," CEPA Working Papers Series WP092013, School of Economics, University of Queensland, Australia.
    3. Ganji, Seyedreza Seyedalizadeh & Rassafi, Amir Abbas & Bandari, Samaneh Jamshidi, 2020. "Application of evidential reasoning approach and OWA operator weights in road safety evaluation considering the best and worst practice frontiers," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    4. Apostolos G. Christopoulos & Ioannis G. Dokas & Sofia Katsimardou & Konstantinos Vlachogiannatos, 2016. "Investigation of the relative efficiency for the Greek listed firms of the construction sector based on two DEA approaches for the period 2006–2012," Operational Research, Springer, vol. 16(3), pages 423-444, October.
    5. Cruijssen, F. & Dullaert, W. & Joro, T., 2006. "Logistic Efficiency Through Horizontal Cooperation : The Case of Flemish Road Transportation Companies," Discussion Paper 2006-14, Tilburg University, Center for Economic Research.
    6. Bok Baik & Joon Chae & Sunhwa Choi & David B. Farber, 2013. "Changes in Operational Efficiency and Firm Performance: A Frontier Analysis Approach," Contemporary Accounting Research, John Wiley & Sons, vol. 30(3), pages 996-1026, September.
    7. Cruijssen, F., 2006. "Horizontal cooperation in transport and logistics," Other publications TiSEM ab6dbe68-aebc-4b03-8eea-d, Tilburg University, School of Economics and Management.
    8. Karagiannis, Giannis & Knox Lovell, C.A., 2016. "Productivity measurement in radial DEA models with a single constant input," European Journal of Operational Research, Elsevier, vol. 251(1), pages 323-328.
    9. Bojiang Yang & Youliang Zhang & Hongjun Zhang & Rui Zhang & Baoyu Xu, 2016. "Factor-specific Malmquist productivity index based on common weights DEA," Operational Research, Springer, vol. 16(1), pages 51-70, April.
    10. Horta, I.M. & Camanho, A.S. & Moreira da Costa, J., 2012. "Performance assessment of construction companies: A study of factors promoting financial soundness and innovation in the industry," International Journal of Production Economics, Elsevier, vol. 137(1), pages 84-93.
    11. Cruijssen, F. & Dullaert, W. & Joro, T., 2006. "Logistic Efficiency Through Horizontal Cooperation : The Case of Flemish Road Transportation Companies," Other publications TiSEM 167e666f-cbde-452d-8a37-5, Tilburg University, School of Economics and Management.
    12. Mette Asmild & Tomas Baležentis & Jens Leth Hougaard, 2016. "Multi-directional productivity change: MEA-Malmquist," Journal of Productivity Analysis, Springer, vol. 46(2), pages 109-119, December.
    13. Chia-Nan Wang & Tien-Muoi Le & Han-Khanh Nguyen, 2019. "Application of Optimization to Select Contractors to Develop Strategies and Policies for the Development of Transport Infrastructure," Mathematics, MDPI, vol. 7(1), pages 1-19, January.
    14. Teodor HADA & Nicoleta BARBUTA-MISU & Teodora Maria AVRAM, 2016. "Financial CEMATT Method: a New Approach for Performance Assessment using Accounting Information," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 10-17.
    15. Behnood, Hamid Reza, 2018. "Best practice analysis of action for road safety in Iran amongst the leading developing countries using an optimized success indicator," Transport Policy, Elsevier, vol. 66(C), pages 76-84.

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