Decomposing Total Factor Productivity of Non-life Insurance Firms in Tanzania

2021 ◽  
pp. 363-372
Author(s):  
K. M. Bwana
Keyword(s):  
Total Factor Productivity ◽  
Life Insurance ◽  
Factor Productivity ◽  
Insurance Firms

Total factor productivity of the non-life insurers in India: Malmquist index with a new decomposition

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ashiq Mohd Ilyas ◽  
S. Rajasekaran
Keyword(s):  
Total Factor Productivity ◽  
Life Insurance ◽  
Economies Of Scale ◽  
Negative Impact ◽  
Malmquist Index ◽  
Scale Efficiency ◽  
Factor Productivity ◽  
Decomposition Approach ◽  
Content Type ◽  
Insurance Sector

PurposeThis paper aims to measure the change and the sources of change in total factor productivity (TFP) of the Indian non-life insurance sector over the period 2005–2016.Design/methodology/approachThis study employs the bootstrapped Malmquist index (MI) to assess the changes in the TFP and adopts a decomposition approach proposed by Balk and Zofío (2018). Moreover, it utilises truncated regression to identify the determinants of the TFP. In addition, it employs Wilcoxon-W test and t-test to scrutinise the difference between the state-owned and the private insurers in terms of variations in TFP and its various components.FindingsThe results divulge a miniature improvement in TFP of the insurance sector, which is primarily attributable to the improvement in scale efficiency (economies of scale). The results also reveal that there are no significant TFP differences across the ownership. However, private insurers have better scale efficiency and lower input-mix efficiency than state-owned insurers. In addition, the results unveil that size, diversification and reinsurance have a negative impact on the TFP, while age has a positive impact on it.Practical implicationsThe results may help the policymakers to frame new consolidation policies. Moreover, the findings may guide the decision-makers of the Indian non-life insurance companies to abate inefficiency and improve TFP.Originality/valueThis study estimates bias-corrected changes in TFP and efficiency in the non-life insurance sector. Moreover, it adopts an elaborated decomposition of the MI to identify the true sources of change in the TFP.

Total Factor Productivity Growth of Indian Life Insurance Companies: A Malmquist Approach

2021 ◽  
pp. 232-236
Keyword(s):  
Total Factor Productivity ◽  
Life Insurance ◽  
Productivity Growth ◽  
Malmquist Index ◽  
Secondary Data ◽  
Private Life ◽  
Annual Reports ◽  
Insurance Companies ◽  
Factor Productivity ◽  
Insurance Sector

This study aimed to investigate the productivity growth of Indian life insurance companies using the Malmquist index. This study analyzed all the 24 life insurance companies' productivity performance in India from the financial year 2012-2013 to 2016-2017 using the Malmquist index based on the secondary data collected from Insurance Regulatory and Development Authority's Annual Reports. Findings indicated that the total factor productivity (TFP) of the life insurance sector increased at an average of 27.6 percent during the study period. On average, this improvement was ascribed to an efficiency improvement of 5.5 percent and a technological improvement of 20.9 percent. The results also indicated that the private life insurers experienced higher productivity growth of 30.2 percent than the state-owned Life Insurance Corporation of India's 17.2 percent. This is the first study that comprehensively analyzed the changes in total factor productivity of the Indian life insurance sector. The study holds important and practical insights for policymakers, practitioners, and decision-makers.

scholarly journals Measuring Total Factor Productivity of China Provincial Non-Life Insurance Market: A DEA-Malmquist Index Method

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Fangping Yu ◽  
Hang Chen ◽  
Jiaqi Luo ◽  
Haibo Kuang
Keyword(s):  
Total Factor Productivity ◽  
Life Insurance ◽  
Technological Progress ◽  
Insurance Industry ◽  
Malmquist Index ◽  
Insurance Market ◽  
Scale Efficiency ◽  
Factor Productivity ◽  
Index Method ◽  
Life Insurance Industry

The unbalanced economic development results in the difference in operating efficiency of the non-life insurance industry in China’s provinces; based on the DEA-Malmquist index method, this paper investigates the provincial differences, dynamic change characteristics, and causes of non-life insurance productivity in 31 provinces of China from 2004 to 2017. The results show that in the sample period, there are significant differences between provinces and regions in China’s non-life insurance efficiency, which generally shows the echelon spatial characteristics of “strong in the west and weak in the east”. Technological progress in the western region promotes the rapid growth of total factor productivity, while the low efficiency of technological progress in the eastern region restrains the improvement of total factor productivity. The overall total factor productivity of China’s provincial non-life insurance industry is on the rise, mainly due to the improvement of pure technical efficiency and scale efficiency, while technological progress has an inhibiting effect on the contrary. These conclusions are of reference value for relevant stakeholders in China’s provincial non-life insurance market to formulate development strategies and business strategies.

scholarly journals Research on the Factors Affecting the Total Factor Productivity of Chinese Life Insurance Companies

2020 ◽  
Vol 8 (1) ◽  
pp. 38-50
Author(s):  
Zhe Sun
Keyword(s):  
Growth Rate ◽  
Total Factor Productivity ◽  
Life Insurance ◽  
Malmquist Index ◽  
Insurance Companies ◽  
Operating Efficiency ◽  
Factor Productivity ◽  
Factors Affecting ◽  
Gdp Growth Rate ◽  
Asset Turnover

Based on the latest method of total factor productivity research at home and abroad, this paper uses the panel data of 17 Chinese life insurance companies from 2007 to 2016 to estimate the total factor productivity of Chinese insurance companies using the Malmquist index analysis method of DEA model. The measurement method is a regression analysis of several factors affecting the total factor productivity of Chinese insurance companies. The empirical results show that among the micro factors, the asset-liability ratio, asset turnover, operating efficiency and company size have a significant impact on the total factor growth rate of Chinese life insurance companies. Among the macro factors, GDP growth rate, inflation rate and unemployment rate have a significant impact on the total factor growth rate of Chinese life insurance companies.

An Analysis of Total Factor Productivity, Factor demand, and Profit of India’s Agriculture

2015 ◽  
Vol 6 (2) ◽  
pp. 360-370
Author(s):  
Sharmistha Nag ◽  
Debarpita Roy ◽  
Laxmi Joshi ◽  
P. C. Parida ◽  
Hari K. Nagarajan
Keyword(s):  
Total Factor Productivity ◽  
Factor Productivity ◽  
Factor Demand ◽  
Productivity Factor
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