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http://dx.doi.org/10.15207/JKCS.2022.13.03.217

An Analysis of Productivity and Efficiency in Indian Non-Life Insurance Companies: DEA-Based Approach  

Seo, Daigyo (Department of Economics and Trade, Konkuk University)
Kwon, Yongjae (School of Finance and Accounting, Kookmin University)
Publication Information
Journal of the Korea Convergence Society / v.13, no.3, 2022 , pp. 217-225 More about this Journal
Abstract
We analyzed efficiency and productivity of the Indian non-life insurance market affected by the COVID-19 pandemic from 2020. Using data envelopment analysis(DEA), we examined non-life insurance companies selling health insurance products in India from FY2013 to FY2019. We found the followings. First, average efficiency of the entire non-life insurance industry worsened in the beginning yet improved later. Second, analyzing the efficiency measures by group, we found that private insurance companies had the highest efficiency, followed by state-run insurance companies and pure health insurance companies. Third, average annual productivity growth rate of companies operating distance selling channels including telemarketing is higher than that of traditional face-to-face channels. During and after the COVID-19 pandemic, therefore, Indian non-life insurance companies should focus their resources and efforts on the development of distance selling channels when establishing business strategies. Besides, it would be interesting to extend our analysis to the post-coronavirus period and we leave this for future research.
Keywords
India; Non-Life Insurance; Data Envelopement Analysis; Efficiency; Productivity;
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