The effect of work accidents on the efficiency of production in the coal sector

  • Yaşar Kasap Department of Mining Engineering, Dumlupinar University
Keywords: coal sector, work accidents, scale efficiency, pure technical efficiency, overall technical efficiency, linear programming


In comparison with other sectors, mining is one of the sectors with the highest rates of work accidents. Such accidents negatively affect a country’s economy by wasting domestic resources and causing losses of both labour force and working days. What distinguishes mining from other branches of industry is that its working environments change continually and the working conditions are particularly harsh. Because of the practice of labour-intensive underground production methods, which leads to an increase in risk factors in terms of work accidents, and the fact that coal is a leading resource in meeting the ever-increasing demand for energy, this study investigated how work accidents affected the efficiency of production in the Turkish Hard Coal Enterprise (TTK) between 1987 and 2006. Using data envelopment analysis, the overall sources of technical inefficiency in the years examined were determined. The results from this analysis revealed that the overall technical efficiency was as low as 69.7%, particularly as a result of the disaster in 1992; work accidents therefore had a negative effect on production efficiency. The greatest degree of pure technical inefficiency was found to have occurred in the period between 1992 and 2000, when the highest number of work accidents were noted, whilst the greatest degree of scale inefficiency was found to have occurred between 1987 and 1993. Because TTK has a prominent position among institutions and attaches great importance to workers’ health and safety, an increase was noted in efficiency scores after 1993.


1. [homepage on the Internet]. c2002 [cited 2010 July 06]. Available from:

2. Tong L, Ding R. Efficiency assessment of coal mine safety input by data envelopment analysis. J China Univ Min Technol. 2008;18:88–92. doi:10.1016/S1006-1266(08)60019-X

3. Charnes A, Cooper W, Rhodes E. Measuring the efficiency of decision making units. Eur J Oper Res. 1978;2(6):429–444. doi:10.1016/0377-2217(78)90138-8

4. Farrel MJ. The measurement of productivity efficiency. J R Stat Soc. 1957;120:253–290. doi:10.2307/2343100

5. Kecojevic V, Komljenovic D, Groves W, Radomsky M. An analysis of equipment-related fatal accidents in U.S. mining operations: 1995–2005. Saf Sci. 2007;45:864–874. doi:10.1016/j.ssci.2006.08.024

6. Sarı M, Düzgün HSB, Karpuz C, Selçuk AS. Accident analysis of two Turkish underground coal mines. Saf Sci. 2004;42:675–690. doi:10.1016/j.ssci.2003.11.002

7. Chamber of Mining Engineers of Turkey (TMMOB). Taşkömürü Raporu 2010. Ankara: Chamber of Mining Engineers of Turkey; 2010.

8. Turkish Hard Coal Enterprise [homepage on the Internet]. c2009 [cited 2010 May 20]. Available from:

9. Kasap Y. [Development of efficiency and productivity of coal mining in Turkey: Data envelopment analysis.] PhD thesis, Eskisehir, Eskisehir Osmangazi University, 2008. Turkish.

10. Grosskopf S. The role of reference technology in measuring productive efficiency. Econ J. 1986;96(382):499–513. doi:10.2307/2233129

11. Seiford LM. Data envelopment analysis: The evolution of the state of the art (1978–1995). J Prod Anal. 1996;7:99–137. doi:10.1007/BF00157037

12. Muniz MA. Separating managerial inefficiency and external conditions in data envelopment analysis. Eur J Oper Res. 2002;143:625–643. doi:10.1016/S0377-2217(01)00344-7

13. Banker RD, Charnes A, Cooper WW. Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manage Sci. 1984;30(9):1078–1092. doi:10.1287/mnsc.30.9.1078

14. Aydemir ZC. [Relative productivity of the resource utilisation in provinces under the regional competitiveness: Data envelopment analysis application.] Specialty thesis, Ankara, T.R. Prime Ministry State Planning Organisation, 2002. Turkish.

15. Tarım A. [Data envelopment analysis: Mathematical programming approach to relative efficiency measurement.] No. 15. Ankara: Turkish Court of Accounts Publications; 2001. Turkish.

16. Al-Shammari M. Optimization modeling for estimating and enhancing relative efficiency with application to industrial companies. Eur J Oper Res. 1999;115:488–496. doi:10.1016/S0377-2217(98)00025-3

17. Urun Internet Newspaper [newspaper online]. No date [cited 2010 July 08]. Available from:

18. Turkish Hard Coal Enterprise (TTK). [Workplace Safety and Education Department activities.] Zonguldak: TTK Workplace Safety and Education Department; 2007. Turkish.

19. Turkish Hard Coal Enterprise [homepage on the Internet]. c2009 [cited 2010 May 20]. Available from:

20. Chamber of Certified Public Accountants of Ankara [document on the Internet]. No date [cited 2010 July 10]. Available from:

21. MaliyetBul [homepage on the Internet]. c2010 [cited 2010 July 10]. Available from:

22. Gurhan F, Tasyurek M, Orhun HH, et al. Work environment. c1999 [cited 2010 July 10]. Available from:

23. Buzkan S. [The factors affecting the fatality ratios at Zonguldak Hardcoal Region.] MSc thesis, Istanbul, Istanbul University Institute of Social Sciences, 1989. Turkish.

24. Chamber of Mining Engineers of Turkey [homepage on the Internet]. c2006 [cited 2010 July 28]. Available from:

25. Arık B, ve Akçın NA. [The prevention of occupational accidents and application of job safety analysis methods.] Paper presented at: the 13th Turkish Coal Congress. Proceedings of the 13th Turkish Coal Congress; 2002 May 29–31; Zonguldak, Turkey. Kızgut S, Cuhadaroğlu D, Genis M, editors. Zonguldak: UCEAT Zonguldak Branch of Chamber of Mining Engineers; 2002. Turkish