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Using two-stage DEA to measure managerial efficiency change of non-life insurance companies in Taiwan

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  • Shiuh-Nan Hwang
  • Tong-Liang Kao

Abstract

This paper uses the two-stage Data Envelopment Analysis (DEA), which was firstly used by Seiford and Zhu (1999), and the Malmquist productivity index expressed by Fare et al. (1992), to measure the efficiency change of 17 non-life insurance companies in Taiwan. Marketability was measured in the first stage while profitability was measured in the second stage. In addition, this paper uses OLS and Tobit regression model to examine the factors that significantly influence on the managerial efficiency of non-life insurance industry. Moreover, the entire industry can be partitioned into four clusters based on marketability change and profitability change of a company. Effective management strategies are developed specially to each of the four clusters of non-life insurance company for future management needs.

Suggested Citation

  • Shiuh-Nan Hwang & Tong-Liang Kao, 2008. "Using two-stage DEA to measure managerial efficiency change of non-life insurance companies in Taiwan," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 9(4), pages 377-401.
  • Handle: RePEc:ids:ijmdma:v:9:y:2008:i:4:p:377-401
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    Cited by:

    1. Jinkai Li & Jueying Chen & Heguang Liu, 2021. "Sustainable Agricultural Total Factor Productivity and Its Spatial Relationship with Urbanization in China," Sustainability, MDPI, vol. 13(12), pages 1-15, June.
    2. E. Gutiérrez & S. Lozano & B. Adenso-Díaz & P. González-Torre, 2015. "Efficiency assessment of container operations of shipping agents in Spanish ports," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(6), pages 591-607, August.
    3. Chien-Ming Huang & Wei Yang & Ren-Qing Zeng, 2020. "Analysis on the Efficiency of Risk Management in the Chinese Listed Companies," Mathematics, MDPI, vol. 8(10), pages 1-13, October.
    4. Maryam Bagherikahvarin & Yves Smet, 2017. "Determining new possible weight values in PROMETHEE: a procedure based on data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(5), pages 484-495, May.

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