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A two-stage DEA window analysis model for evaluating the efficiency in the Czech non-life insurance sector

Author

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  • Petra Tisová

    (Prague University of Economics and Business)

  • Martin Flegl

    (Tecnologico de Monterrey)

Abstract

The Czech non-life insurance sector has been always perceived as trustworthy. Still, the non-life insurance sector witnessed many mergers, acquisitions, and new insurer creations during the last decade. The tight market regulation leads to short-time investment tendency of the non-life insurers, which creates a high pressure on their underwriting efficiency. Therefore, to understand the market evolution, we apply a two-stage DEA window analysis model to evaluate the efficiency of the non-life insurers in the Czech market. This analysis targets to investigate dynamic changes of the underwriting and investment efficiency of 29 insurers from 2012 to 2021. The results revealed high average underwriting efficiency (0.617) and very low average investment efficiency (0.303) of the insurers. Moreover, high volatility of the underwriting (0.353) and investment (0.354) efficiency can be observed on the insurer-level, which may be associated to the fact that the non-life insurers often alternate between two different business approaches of maximum profit and the maximum revenues.

Suggested Citation

  • Petra Tisová & Martin Flegl, 2025. "A two-stage DEA window analysis model for evaluating the efficiency in the Czech non-life insurance sector," OPSEARCH, Springer;Operational Research Society of India, vol. 62(3), pages 1492-1516, September.
    • Handle: RePEc:spr:opsear:v:62:y:2025:i:3:d:10.1007_s12597-024-00825-6
    DOI: 10.1007/s12597-024-00825-6
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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, December.
    2. Moghaddas, Zohreh & Tosarkani, Babak Mohamadpour & Yousefi, Samuel, 2022. "Resource reallocation for improving sustainable supply chain performance: An inverse data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 252(C).
    3. 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.
    4. Biener, Christian & Eling, Martin & Wirfs, Jan Hendrik, 2016. "The determinants of efficiency and productivity in the Swiss insurance industry," European Journal of Operational Research, Elsevier, vol. 248(2), pages 703-714.
    5. Barros, Carlos Pestana & Nektarios, Milton & Assaf, A., 2010. "Efficiency in the Greek insurance industry," European Journal of Operational Research, Elsevier, vol. 205(2), pages 431-436, September.
    6. Chao-Chun Leng, 2006. "Stationarity and stability of underwriting profits in property-liability insurance: Part II," Journal of Risk Finance, Emerald Group Publishing, vol. 7(1), pages 49-63, January.
    7. Robert W Klein, 2012. "Principles for Insurance Regulation: An Evaluation of Current Practices and Potential Reforms," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 37(1), pages 175-199, January.
    8. Banker, Rajiv & Natarajan, Ram & Zhang, Daqun, 2019. "Two-stage estimation of the impact of contextual variables in stochastic frontier production function models using Data Envelopment Analysis: Second stage OLS versus bootstrap approaches," European Journal of Operational Research, Elsevier, vol. 278(2), pages 368-384.
    9. Chao‐Chun Leng, 2006. "Stationarity and stability of underwriting profits in property‐liability insurance," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 7(1), pages 38-48, January.
    10. Omrani, Hashem & Emrouznejad, Ali & Shamsi, Meisam & Fahimi, Pegah, 2022. "Evaluation of insurance companies considering uncertainty: A multi-objective network data envelopment analysis model with negative data and undesirable outputs," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    11. Huang, Tai-Hsin & Lin, Chung-I & Wu, Ruei-Cian, 2019. "Assessing the marketing and investment efficiency of Taiwan’s life insurance firms under network structures," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 132-147.
    12. Alireza Amirteimoori & Tofigh Allahviranloo & Aliasghar Arabmaldar, 2024. "Scale elasticity and technical efficiency measures in two-stage network production processes: an application to the insurance sector," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-21, December.
    13. Eling, Martin & Jia, Ruo, 2018. "Business failure, efficiency, and volatility: Evidence from the European insurance industry," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 58-76.
    14. Martin Eling & Michael Luhnen, 2010. "Frontier Efficiency Methodologies to Measure Performance in the Insurance Industry: Overview, Systematization, and Recent Developments," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 35(2), pages 217-265, April.
    15. David Cummins, J. & Rubio-Misas, María, 2021. "Country factor behavior for integration improvement of European life insurance markets," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 186-202.
    16. Huang, Wei & Eling, Martin, 2013. "An efficiency comparison of the non-life insurance industry in the BRIC countries," European Journal of Operational Research, Elsevier, vol. 226(3), pages 577-591.
    17. Chao‐Chun Leng, 2006. "Stationarity and stability of underwriting profits in property‐liability insurance," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 7(1), pages 49-63, January.
    18. Chao-Chun Leng, 2006. "Stationarity and stability of underwriting profits in property-liability insurance: Part I," Journal of Risk Finance, Emerald Group Publishing, vol. 7(1), pages 38-48, January.
    19. Cummins, J. David & Rubio-Misas, María & Vencappa, Dev, 2017. "Competition, efficiency and soundness in European life insurance markets," Journal of Financial Stability, Elsevier, vol. 28(C), pages 66-78.
    20. Schaper, Philipp, 2017. "Under pressure: how the business environment affects productivity and efficiency of European life insurance companiesAuthor-Name: Eling, Martin," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1082-1094.
    21. 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.
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    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

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