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A Dynamic DEA Model for Indian Life Insurance Companies

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  • Ram Pratap Sinha

Abstract

Efficiency studies relating to the Indian life insurance companies have so far used static one-period data envelopment analysis (DEA) models for the purpose of comparison of performance. A major weakness of the static framework is that the efficiency results are not inter-temporally comparable. In order to overcome this problem, the present study uses a dynamic slacks-based DEA model proposed by Tone and Tsutsui (2010) for performance evaluation of 15 in-sample life insurance companies for a seven-year period (2005–2006 to 2011–2012). The unique selling point (USP) of the present approach is that unlike the conventional static DEA models, the present framework, by using a link variable, connects the observed years and thereby creates a common benchmark. The results reveal significant fluctuations in mean technical efficiency over the period of observation.

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  • Ram Pratap Sinha, 2015. "A Dynamic DEA Model for Indian Life Insurance Companies," Global Business Review, International Management Institute, vol. 16(2), pages 258-269, April.
    • Handle: RePEc:sae:globus:v:16:y:2015:i:2:p:258-269
    DOI: 10.1177/0972150914564418
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    2. Lee Chi-Ai & Shyu Ming-Kuang & Chiu Yung-Ho, 2017. "Evaluating the Operational Efficiency of Life Insurance Companies in Taiwan¨C An Application of the Dynamic Network SBM Model," Applied Economics and Finance, Redfame publishing, vol. 4(1), pages 18-33, January.
    3. Andrey V. Lychev & Svetlana V. Ratner & Vladimir E. Krivonozhko, 2023. "Two-Stage Data Envelopment Analysis Models with Negative System Outputs for the Efficiency Evaluation of Government Financial Policies," Mathematics, MDPI, vol. 11(24), pages 1-21, December.
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    5. Shoaib Alam Siddiqui, 2022. "How efficient is Indian health insurance sector: An SBM‐DEA study," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(4), pages 950-962, June.
    6. Ankitha Shetty & Savitha Basri, 2020. "Assessing the Technical Efficiency of Traditional and Corporate Agents in Indian Life Insurance Industry: Slack-based Data Envelopment Analysis Approach," Global Business Review, International Management Institute, vol. 21(2), pages 490-506, April.
    7. Losa, Eduardo Tola & Arjomandi, Amir & Hervé Dakpo, K. & Bloomfield, Jason, 2020. "Efficiency comparison of airline groups in Annex 1 and non-Annex 1 countries: A dynamic network DEA approach," Transport Policy, Elsevier, vol. 99(C), pages 163-174.
    8. Biresh K. Sahoo & Kaoru Tone, 2022. "Evaluating the potential efficiency gains from optimal industry configuration: A case of life insurance industry of India," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3996-4009, December.
    9. Shoaib Alam Siddiqui & Ali Shaddady, 2023. "How Profit Efficient is Indian Life Insurance Industry: A DEA Study," SAGE Open, , vol. 13(4), pages 21582440231, December.

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