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This paper aims to investigate the effect of intellectual capital (IC) on the operating efficiency of non-life insurance firms in China.

The authors use a dynamic data envelopment analysis model called dynamic slacks-based measure (DSBM) model to estimate the operating efficiency of 32 Chinese non-life insurance firms. Using a panel data set for the period from 2006 to 2010, the authors run ordinary least squares (OLS) regressions to find the relationship between IC and efficiency performance.

The authors find that the insurers have almost monotonically decreasing efficiency for the period from 2006 to 2010. Regression results show that human capital, structural capital and relational capital are significantly and positively related to operating efficiency.

This study suggests that managers of the Chinese non-life insurers should devote attention to the investments in IC to stay sustainable.

This is the first paper to examine the impact of IC on operating efficiency in the Chinese non-life insurance industry. This study differs from prior studies in that the authors use the DSBM model proposed by Tone and Tsutsui (2010) for evaluating the operating efficiency using a dynamic process.

The purpose of this paper is to evaluate the efficiency of insurance companies in Ghana using a two‐stage procedure to ascertain whether insurance companies are cost efficient and also to examine the efficiency determinants of insurance companies.

Using a cross‐sectional data set of 30 firms over the period 2006‐2008, the study evaluates the efficiency scores by applying a data envelopment analysis that allows the inclusion of multiple inputs and outputs in the production frontier. The study also employs a regression model to identify the key determinants of efficiency of the Ghanaian insurance industry.

The empirical results in the first stage suggest higher average efficiency scores for life insurance business than non‐life insurance companies. In the second stage, the authors observe that the drive for market share, firm size and the ratio of equity to total invested assets are important determinants of an insurance firm's efficiency.

The findings of this study provide insights into the cost efficiency of insurance companies in Ghana. This has implications for the efficient management of insurance firms in the country.

Consumer behavior, in the context of general insurance, is worth exploring to formulate growth strategies for insurance sector in India in light of the proposed structural changes. Indian consumers attract global players due to untapped potential and favorable policy measures initiated for higher foreign direct investments. The purpose of this paper is to understand the prevailing level of service quality as perceived by insurance customers in India in the presence of certain contextual antecedents and moderators.

Perceptions about constructs like customer risk dispositions, awareness, past experiences, customer involvement, choice overload, service quality and satisfaction of 256 customers were collected using a questionnaire survey. A variance-based structural equation modeling helped to identify significant linkages among the constructs.

In order to assess service quality levels, a 15-item scale having the infrastructure, employees, agents and product dimensions was found valid and reliable. Choice overload and customer involvement were found to moderate the influence of antecedents and service quality, respectively. The influence of choice overload on quality perceptions is insignificant. The study concludes that the existing risk beliefs are insufficient, and experiences have less predictive contribution to quality perceptions.

Theoretically, this study examined the process of satisfaction development from service quality perceptions. This study offers insights for developing theories to portray future consumer behavior where more dependence of self-service technologies is expected to dominate service delivery mechanisms in insurance. The study informs that general insurance customers in India prefer more diversified products, more customer-centric employees/agents and better technical quality.

The findings of this study contribute to the understanding of the prevailing insurance consumer behavior in the general insurance sector of India and help insurance service providers in streamlining their strategies for better insurance penetration and reduced lapse rate.

This study helps in understanding the emerging trends in general insurance buying behavior in India.

The purpose of this paper is to examine the relationship between intellectual capital (IC) and profitability of insurance companies in Ghana.

Data on 36 life and non-life insurance companies from 2007 to 2011 are employed to estimate the value added intellectual coefficient of Pulic (2004, 2008). Using return on assets and underwriting profit as indicators of profitability, the ordinary least squares panel corrected standard errors of Beck and Katz (2005) is used in estimating the relationship in the presence of serial correlation and heteroskedasticity. Leverage, underwriting risk and insurers’ size are used as control variables.

Non-life insurers have high IC performance comparative to life insurers. This study finds a significant positive relationship between IC and profitability of insurers in Ghana while human capital efficiency is the main driver of insurers’ IC performance.

The study discusses relevance of IC for management of insurance companies in Ghana and other emerging insurance markets in Africa.

This appears to be the first study to examine the impact of IC on profitability of a developing insurance market in Africa.

The purpose of this paper is to explore the antecedents and consequences of insurer trust and salesperson trust, as well as the relationships between insurer, salesperson, and customer loyalty in order to build a conceptual model which investigates the relationships of insurer trust and salesperson trust, and finds ways to build trust and customer loyalty in the non-life insurance industry in Taiwan.

The data for this study were collected from the customers of non-life insurers’ policyholder service centres and were analysed using in-depth interviews and questionnaires. Structural equation modelling (SEM) was to assess the proposed research model empirically.

This study finds that firm size did not have a significant effect on insurer trust. Customer trust in the insurer was negatively but not significantly related to customer trust in the salesperson. Additionally, when relatives or friends are insurance salespersons; it is easy to build trust with them.

This study provides non-life insurers with new avenues for promoting and marketing their insurance.

The purpose of this paper is to examine the impact of the regulatory-driven market structure on firm pricing behaviour by testing the structure-conduct-performance (S-C-P) hypothesis for both life and non-life insurance markets in Ghana.

Using a panel data on 14 life and 22 non-life insurers from 2007 to 2011, the authors employed the Herfindahl Hirschman Index and concentration ratio as proxies for the S-C-P hypothesis while efficiency scores were estimated using the data envelopment analysis technique to proxy for the efficient structure (ES) hypothesis. The dependent variable, profitability was measured as return on assets while controlling for size, underwriting risk, leverage, GDP growth rate and inflation. The models were estimated using the panel corrected standard errors of Beck and Katz (1995) and random effects estimations.

The results from the empirical estimation provide ample evidence in support for ES hypothesis for both life and non-life insurance markets. While conflicting results was found for SCP hypothesis in the non-life insurance market, it was rejected in the life insurance market. The findings also point to an increasing level of competition in both life and non-life insurance industry in Ghana though they still remain concentrated with the life insurance sector having high levels of efficiency compared to the non-life sector.

The findings of the study will enhance the understanding of firm behaviour in the new markets created to shape regulatory and competition policies of the regulator to promote consumer welfare while ensuring a stable industry to enhance its role in economic development.

This is the first study to test the market power and efficient hypotheses on the insurance industry in Ghana. To the best of the author’s knowledge, this study is the first to examine the determinants of profitability in the non-life insurance market.

The purpose of this paper is to analyse the performance of the Indian non-life (general) insurance sector in terms of efficiency, productivity and returns-to-scale economies. In addition to this, it identifies the determinants of efficiency.

This study employs a two-stage data envelopment analysis (DEA) bootstrap approach to estimate the level and determinants of efficiency. In the first stage, the DEA bootstrap approach is employed to estimate bias-corrected efficiency scores. In the second stage, the truncated bootstrapped regression is used to identify the effect of firm-level characteristics on the efficiency of insurers. Moreover, the bootstrapped Malmquist index is used to examine the productivity growth over the observation period 2005–2016.

The bootstrapped DEA results show that the Indian non-life insurance sector is moderately technical, scale, cost and allocative efficient, and there is a large opportunity for improvement. Moreover, the results reveal that the public insurers are more cost efficient than the private insurers. It is also evident that all the insurers irrespective of size and ownership type are operating under increasing returns to scale. Malmquist index results divulge an improvement in productivity of insurers, which is attributable to the employment of the best available technology. Bootstrapped DEA and bootstrapped Malmquist index results also show that the global financial crisis of 2008 has not severely affected the efficiency and productivity of the Indian non-life insurance sector. The truncated regression results spell that size and reinsurance have a statistically significant negative relationship with efficiency. It also shows a statistically significant positive age–efficiency relationship.

The results hold practical implications for the regulators, policy makers, practitioners and decision makers of the Indian non-life insurance companies.

This study is the first of its kind that comprehensively investigates different types of robust efficiency measures, determinants of efficiency, productivity growth and returns-to-scale economies in the Indian non-life insurance market for an extended time period.

Introduction: Foreign direct investment (FDI) is a deciding factor in the insurance industry’s growth in any nation. Besides, similar socioeconomic conditions, some countries tend to attract more FDI inflows. This chapter focuses on exploring the FDI in the insurance industry in Brazil, Russia, India, China, and South Africa (BRICS).

Purpose: The chapter aims to explore the current situation of FDI in the insurance industry in BRICS member nations and uncover the factors that have led to higher foreign investments in some countries.

Methodology: Using descriptive and comparative approaches, this chapter explains the FDI scenario in the insurance sector of BRICS nations.

Findings: Based on a comparative analysis, the authors observed that deregulation, increased foreign engagement, and adoption of innovative technology and distribution methods are some avenues that could be worked upon to improve FDIs in the Indian insurance sector.

The purpose of this paper is is to identify the main determinants of insurance profitability on life and non-life segments to obtain which variables affect in each market of the Ecuadorian insurance sector.

The authors use a large panel data set with financial information from 2001 to 2017 and estimate the determinants through a panel corrected standard errors regression.

The authors found that net premiums, technical reserves, capital ratio and score efficiency are micro-determinants in the life insurance sector, whereas in the non-life sector, the micro-determinants include also claim level and liquidity ratio; moreover, the authors found that HHI is a determinant of profitability only in the life insurance. Among the macro determinants set, the authors found that the interest rate has also a significant impact both in the life and non-life insurance.

The authors analyze a dollarized emerging country, which is the first time in this kind of studies. The authors also include the structure-conduct-performance and relative market power paradigm as well as the ES hypothesis, calculated through the data envelopment analysis, as determinants of insurance profitability. Finally, this is the first research to examine the determinants of profitability in Latin American and Caribbean insurers.

Our study explores friction costs in terms of competition and market structure, considering factors such as market share, industry leverage levels, industry hedging levels, number of peers, and the geographic concentration that influences reinsurance purchase in the Property and Casualty insurance industry in China. Financial factors that influence the hedging level are also included. The data are hand collected from 2008 to 2015 from the Chinese Insurance Yearbook. Using panel data analysis techniques, the results are interesting. The capital structure shows a significant negative relationship with the hedging level. Group has a negative relationship with reinsurance purchases. Assets exhibit a negative relationship with hedging levels. The hedging level has a negative relation with the individual hedging level. Insurers have less incentive to hedge because it provides less resource than leverage. The study also robustly investigates the strategic risk management separately by the financial crises.