Abstract
This paper investigates technical efficiency and productivity growth in Indian life insurance industry in the era of deregulation. The empirical study uses DEA method and Malmquist productivity index to measure and decompose technical efficiency and productivity growth, respectively. The results suggest that the growth in overall productivity is mainly attributed to improvement in efficiency. Higher pure technical efficiency and lower scale efficiency indicate the insurance firms have generally, moved away from the optimal scale over the study period. The truncated regression exploring the main drivers of efficiency in the long run found claims ratio, distribution ratio, and firm-size influence technical efficiency positively. The study also found firms that had both life and non-life businesses are more efficient than firms that has only life insurance business.
©2012 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
Articles in the same Issue
- Featured Article
- Statistical Review of Nuclear Power Accidents
- Logit Regression Based Bankruptcy Prediction of Korean Firms
- Efficiency and Productivity of Indian Life Insurance Industry
- Projecting the Cost of Long-Term Care Insurance in Korea
- Survival Analysis of Left Truncated Income Protection Insurance Data
- Health Care Insurance Pricing Using Alternating Renewal Processes
Articles in the same Issue
- Featured Article
- Statistical Review of Nuclear Power Accidents
- Logit Regression Based Bankruptcy Prediction of Korean Firms
- Efficiency and Productivity of Indian Life Insurance Industry
- Projecting the Cost of Long-Term Care Insurance in Korea
- Survival Analysis of Left Truncated Income Protection Insurance Data
- Health Care Insurance Pricing Using Alternating Renewal Processes