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An empirical study for mines safety management through analysis on potential for accident reduction

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  • Mallick, S.
  • Mukherjee, K.

Abstract

The effective utilization of resources in seeking to reduce accidents in mines requires that the accident experiences of different mines should first be placed on a comparative footing. There could be many characteristics of belowground mines which influence the occurrence of accidents. Depending on the objective of the analysis, some of these characteristics can be treated as fixed, allowing least intervention; whereas others are changeable and treatable. This paper attempts to identify and define some such factors, which may have relationship with accident counts. The statistical significance of these factors has been tested under appropriate assumptions in a multivariate analysis. Based on the significant factors, mines have been classified, and a criterion for selection of mines having maximum potential for accident reduction has been developed.

Suggested Citation

  • Mallick, S. & Mukherjee, K., 1996. "An empirical study for mines safety management through analysis on potential for accident reduction," Omega, Elsevier, vol. 24(5), pages 539-550, October.
    • Handle: RePEc:eee:jomega:v:24:y:1996:i:5:p:539-550
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    References listed on IDEAS

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    1. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
    2. Cameron, A. Colin & Trivedi, Pravin K., 1990. "Regression-based tests for overdispersion in the Poisson model," Journal of Econometrics, Elsevier, vol. 46(3), pages 347-364, December.
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    Cited by:

    1. Lluís Sanmiquel & Marc Bascompta & Josep M. Rossell & Hernán Francisco Anticoi & Eduard Guash, 2018. "Analysis of Occupational Accidents in Underground and Surface Mining in Spain Using Data-Mining Techniques," IJERPH, MDPI, vol. 15(3), pages 1-11, March.

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