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Evaluating the cost efficiency of insurance companies in Ghana

Author

Listed:
  • Kwadjo Ansah‐Adu
  • Charles Andoh
  • Joshua Abor

Abstract

Purpose - The purpose of this paper is to evaluate the efficiency of insurance companies in Ghana using a two‐stage procedure to ascertain whether insurance companies are cost efficient and also to examine the efficiency determinants of insurance companies. Design/methodology/approach - Using a cross‐sectional data set of 30 firms over the period 2006‐2008, the study evaluates the efficiency scores by applying a data envelopment analysis that allows the inclusion of multiple inputs and outputs in the production frontier. The study also employs a regression model to identify the key determinants of efficiency of the Ghanaian insurance industry. Findings - The empirical results in the first stage suggest higher average efficiency scores for life insurance business than non‐life insurance companies. In the second stage, the authors observe that the drive for market share, firm size and the ratio of equity to total invested assets are important determinants of an insurance firm's efficiency. Originality/value - The findings of this study provide insights into the cost efficiency of insurance companies in Ghana. This has implications for the efficient management of insurance firms in the country.

Suggested Citation

  • Kwadjo Ansah‐Adu & Charles Andoh & Joshua Abor, 2012. "Evaluating the cost efficiency of insurance companies in Ghana," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 13(1), pages 61-76, January.
    • Handle: RePEc:eme:jrfpps:15265941211191949
    DOI: 10.1108/15265941211191949
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    Citations

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    Cited by:

    1. Noreen, Uzma, 2020. "The Estimation of Risk Management Efficiency and its Determinants," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(1), pages 69-79.
    2. Maher Abdellatif & Yuantao Xie, 2024. "Efficiency Analysis of Traditional and Takaful Insurance Firms in Egypt: A Two-Stage Efficiency Model," International Journal of Science and Business, IJSAB International, vol. 41(1), pages 200-217.

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