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Decisiveness of Ownership on the Efficiency in Non-Life Insurance Companies

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  • Müzeyyen Esra ATUKALP

Abstract

Efficiency is decisive on firms’ achievements in their own domain of business. The aim of this study is to understand the technical, scale and total activities of the insurance companies operating in the non-life insurance sector of Turkey and to determine whether there is a difference in the efficiency of the companies according to their ownership structure for the period 2013-2017. Based on the results of the analysis, while Allianz Insurance Inc., Aksigorta Inc., and Anadolu Incorporated Türk Insurance Company possess technical efficiency, Magdeburger Insurance Inc., Koru Insurance Inc. and Ziraat Insurance Inc. display technical, scale and total efficiency. Moreover, it has also determined that there is a difference between domestic national insurance companies and foreign insurance companies in terms of technical efficiency and total efficiency whereas no significant difference is observed among them in terms of scale efficiency.

Suggested Citation

  • Müzeyyen Esra ATUKALP, 2019. "Decisiveness of Ownership on the Efficiency in Non-Life Insurance Companies," Sosyoekonomi Journal, Sosyoekonomi Society.
    • Handle: RePEc:sos:sosjrn:190404
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    1. Boussofiane, A. & Dyson, R. G. & Thanassoulis, E., 1991. "Applied data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 52(1), pages 1-15, May.
    2. 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.
    3. F. Fecher & D. Kessler & S. Perelman & P. Pestieau, 1993. "Productive performance of the French insurance industry," Journal of Productivity Analysis, Springer, vol. 4(1), pages 77-93, June.
    4. Banker, Rajiv D. & Cooper, William W. & Seiford, Lawrence M. & Thrall, Robert M. & Zhu, Joe, 2004. "Returns to scale in different DEA models," European Journal of Operational Research, Elsevier, vol. 154(2), pages 345-362, April.
    5. Yao, Shujie & Han, Zhongwei & Feng, Genfu, 2007. "On technical efficiency of China's insurance industry after WTO accession," China Economic Review, Elsevier, vol. 18(1), pages 66-86.
    6. 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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    More about this item

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

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