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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.

The role of financial institutions and financial intermediaries in fostering the economic growth by improving the efficiency of capital accumulation, encouraging savings and ultimately improving the productivity of the economy has been well accepted by now. Recent studies show that the insurance industry can improve the economic growth through financial intermediation, risk aversion and generating employment. This study aims to find the relationship between life insurance industry and economic development in India.

The study uses the VAR‐VECM model to find out the long run and short run relationship (if any) between life insurance growth and economic growth along with Granger causality test to suggest any causal relationship.

This study finds that there is long term relationship between life insurance industry and economic development in India. And the Granger causality test suggests that life insurance sector improves the overall economic development in India and the reverse is not significant.

The only limitation to study the relationship between life insurance sector development and economic development is the data set which has been used is annual data as the quarterly data were not available for insurance industry.

The study documented the long run relationship between life insurance industry and economic development in India and finds that the life insurance sector improves the overall economic development in India. This would help us to understand the implications of the life insurance market development in the post reform era.

There is a dearth of literature on the Indian economy in relation to the insurance sector, specifically the life insurance sector. This is the first attempt to study the impact of life insurance development on Indian economy after the reforms initiated in the insurance sector.

This paper analyses the relationship between financial sector development (FSD) and life insurance inclusion in India during the period from 1971–1972 to 2016–2017. The study analyses the effect of financial deepening on life insurance inclusion in India.

The study employs augmented Dickey–Fuller (ADF) unit roots test to check the stationarity properties of the time series data. It estimates a life insurance inclusion model using the auto-regressive distributed lag model (ARDL) bounds testing approach to cointegration.

The study finds evidence of a cointegrating relationship between financial deepening and life insurance inclusion in India. A significant error correction coefficient indicates automatic adjustments to short-run disequilibrium, reinforcing the cointegrating relationship between financial sector and life insurance inclusion.

A major limitation of the study is that it excludes the first-time sum assured (FSA) contributed by the private sector life insurance companies due to lack of data availability.

The results of the study call for faster expansion of the financial sector and provision of a low interest rate regime in the Indian economy. The study invokes the need for sufficient training to the personnel in the banking and non-banking institutions to cater to the complex needs of life insurance buyers.

The paper estimates the link between FSD and life insurance inclusion and introduces a new measure of life insurance demand, the life insurance inclusion, measured using the FSA.

The purpose of this article is to evaluate revenue efficiency performance of life insurance companies in India. The study also compares if private or public insurance sector is more “revenue efficient”. Furthermore, the study determines the nature of return to scale (RTS) and identifies the leaders and laggards amongst insurance companies operating in India.

Revenue efficiency is calculated by employing data envelopment analysis – a non-parametric approach, on a data set of 24 insurance companies over the period 2013–2014 to 2017–2018.

The empirical results suggest that life insurance companies in India could generate only 34.4% of revenue, which is very less than what these are expected to generate from the same inputs. Majority of life insurance companies operating in India are operating at decreasing return to scale (DRS). There is a reduction in leaders and the highest proportion of companies is falling in the category of laggards.

As per the best knowledge of researchers, no empirical work has been carried out with respect to measuring the revenue efficiency of Indian insurance companies. The current study appropriately fills the gap by not only calculating the revenue efficiency scores of insurance companies in India but also provides insights into the causes of revenue inefficiencies. It also gives implications for efficient and effective management of insurance companies.

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.

Owing to the vital role played by the insurance sector in the economic growth of a country, the purpose of this paper is to highlight the serious threat posed by money laundering activities in exploiting the insurance industry, from the Malaysian perspective.

Provides a description of the risks posed by money laundering in the insurance sector, along with some useful case examples as illustration. Highlights the measures developed and adopted to control money laundering in the Malaysian insurance sector, with some thoughts on the importance of staying vigilant, as it is the only way in which to effectively counter the menace of money laundering in the sector.

Research shows that two‐thirds of the cases worldwide associated with money laundering in the insurance sector, related to life insurance products, with general insurance accounting for most of the remaining third of the cases reported. Apart from this, insurance intermediaries like agents and brokers, who are an important direct distribution channel for the sector, are easily subject to exploitation by money launderers.

The practical implication of this paper is to stress the importance of detecting signs of money laundering activities, as early prevention is the best alternative for insurance companies in countering money laundering in the industry.

The formal reporting measures put in place by the Anti‐Money Laundering Act 2001 are a step in the right direction by the Malaysian Government. However, this paper serves as a reminder that in spite of such measures, the insurance sector is particularly vulnerable to money laundering activities, owing to the sector's rapid growth in offering innovative and sophisticated products and services worldwide. Thus, this paper makes for a useful read for practitioners, academics, policymakers and students alike.

International business/International marketing.

Courses: the case is directly related to courses on “International Business” and “International Marketing” in the Master of Business Administration programme.

Training programmes: management development programmes for working executives, on the topics “Business across borders”, “Business stabilization in foreign markets”.

In 1999, the liberalization of the insurance sector as per the recommendations of the Malhotra committee gave way for privatization and foreign firms entered this sector through joint ventures. The business growth, which was enjoyed by these firms from 1999 to 2008, was tremendous. The growth percentage started declining following the global economic downturn in the capital markets. This situation compelled the insurance firms to re-look into their business strategy. On one hand whatever growth they had, 80 percent of it was through unit linked insurance plans depending on the capital market. On the other, it was identified that in a country like India the untapped market potential was among the rural millions. Reaching those people who are at the bottom of the pyramid necessitated a completely new business model to be developed as the need of the hour. The take stock of the position at this vnjuncture is the crux of the present case study, which envisages finding out alternative delivery models to suit the Indian rural market taking into account the intrinsic nature of life insurance and the basic living styles and mentality of the rural folk.

After discussion and analysis of this case, students will be able to:

• understand how market culture in a target country differs from that in the home country;

• appreciate how challenges in a developing country market have their own unique features to be understood;

• identify various courses of action and evaluate them on the basis of the host country factors;

• understand the “international planning process”; and

• appreciate how important it is for a country manager of a multinational firm to plan and execute the marketing mix suited to the inherent qualities of the target market.

understand how market culture in a target country differs from that in the home country;

appreciate how challenges in a developing country market have their own unique features to be understood;

identify various courses of action and evaluate them on the basis of the host country factors;

understand the “international planning process”; and

appreciate how important it is for a country manager of a multinational firm to plan and execute the marketing mix suited to the inherent qualities of the target market.

Teaching notes.

The purpose of this paper is to assess the current legal framework on money laundering control in the insurance sector. Essentially, this examination is premised on the interrogation of whether it is still appropriate for Mauritius to apply such stringent, opaque and unyielding Anti-Money Laundering/Combating Financing of Terrorism norms and rules on general insurance when developed nations such as the UK and Singapore have done away with them for a more effective combat against money laundering. It would also be assessed why the financial services commission (FSC) is not able to draw inspiration from its British and Singaporean counterparts in fighting money laundering more effectively.

This paper uses the doctrinal legal research methodology which is colloquially described as “black-letter law” approach. It is backed up by a contextual legal analysis that is based on an analysis of relevant legal provisions. It relies ground experience from the insurance industry through the experience of the authors. A comparative approach is used with Singapore and the UK as case studies given that there are significant commonalities to the Mauritian jurisdiction as well as useful differences.

It is observed that a move towards a de-regulation of the legal framework on money laundering in the insurance sector with a more relaxed approach is more effective for the Mauritian insurance sector. Evidence is drawn from the Singaporean and British models. A re-structuring of the FSC of Mauritius is also warranted for such an approach to be adopted.

This paper is among the first academic contribution that proposes a de-regulation and the adoption of a relaxed approach of and by the Mauritian Insurance Industry for a more effective combat against money laundering. It serves as a legal foundational basis for further research in this direction.

The purpose of this paper is to analyse the performance of the Indian non-life (general) insurance sector in terms of total factor productivity (TFP) over the period 2005–2016.

This study utilises Färe‒Primont index (FPI) to access the change in TFP and its components: technical change, technical efficiency and mix and scale efficiency over the observation period. Moreover, it employs the Mann–Whitney U-test to scrutinise the difference between the public and the private insurers in terms of growth in productivity.

The results reveal that the insurance sector possesses a very low level of TFP. Also, the results divulge an improvement of 11.98 per cent in TFP of the insurance sector at an annual average rate of 12.41 per cent over the observation period. The growth in productivity is mainly attributable to the improvement of 10.81 per cent in the scale‒mix efficiency. The progress in scale‒mix efficiency is mainly the result of improvements in residual scale and residual mix efficiency. The results also show that the privately owned insurers have experienced a high productivity growth rate than the state-owned insurers.

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

This study is the first of its kind to use FPI, which satisfies all economically relevant axioms and tests defined by the index number theory to comprehensively access the change in TFP of the Indian non-life insurance sector.