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Article
Publication date: 30 November 2020

Madan Mohan Dutta

Health insurance is one of the major contributors of growth of general insurance industry in India. It alone accounts for around 29% of total general insurance premium…

Abstract

Purpose

Health insurance is one of the major contributors of growth of general insurance industry in India. It alone accounts for around 29% of total general insurance premium income earned in India. The growth of this sector is important from the perspective of overall growth of general insurance Industry. At the same time, problems in this sector are also many which are affecting its performance.

Design/methodology/approach

The paper provides an understanding on performance of health insurance sector in India. This study attempts to find out how much claims and commission and management expenses it has to incur to earn certain amount of premium. Methodology used for the study is regression analysis to establish relationship between dependent variable (Profit/Loss) and independent variable (Health Insurance Premium earned).

Findings

Findings of the study indicate that there is significant relationship between earned premium and underwriting loss. There has been increase of premium earnings which instead of increasing profit for the sector in fact has increased underwriting loss over the years. The earnings of the sector is growing at compounded annual growth rate of 27% still it is unable to earn underwriting profit.

Originality/value

This study is self-driven based on secondary data obtained from insurance regulatory and development authority site.

Details

Vilakshan - XIMB Journal of Management, vol. 17 no. 1/2
Type: Research Article
ISSN: 0973-1954

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Article
Publication date: 9 May 2008

Haemala Thanasegaran and Bala Shanmugam

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Practical implications

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.

Originality/value

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.

Details

Journal of Money Laundering Control, vol. 11 no. 2
Type: Research Article
ISSN: 1368-5201

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Article
Publication date: 3 April 2018

Shrutikeerti Kaushal and Amlan Ghosh

Understanding the role of financial intermediaries towards financial development and thereby the growth of an economy, this study aims to examine the long-run relationship…

Abstract

Purpose

Understanding the role of financial intermediaries towards financial development and thereby the growth of an economy, this study aims to examine the long-run relationship between the development of banking and insurance sector and economic growth in India by covering different regimes including the regulated and the liberalized period.

Design/methodology/approach

For examining the long-run relationship between these sectors, the study uses VAR-VECM technique. Further, Granger causality test is used to check if there is the presence of any causal link among these sectors.

Findings

The findings clearly indicate long-run relationship between economic growth and the development of banking and insurance sector, while the causality results show demand following relationship in the complete period where there is bi-directional causality in the post-liberalized period from insurance to economic growth.

Research limitations/implications

As banking development is not found to support economic growth, this raises serious concerns towards the complex role of banks as against theory and demands further analysis to understand their role in an economy.

Practical implications

As causality pattern has changed from demand following to bi-directional causality, it is vital to understand the importance of liberalization towards the economic growth of the country as well as the contribution of insurance sector towards economic growth in the liberalized environment.

Originality/value

This is the first effort to empirically explore the relationship between economic growth and the development of banking and insurance sector in India by covering the complete period (regulated and liberalized).

Details

Journal of Financial Economic Policy, vol. 10 no. 1
Type: Research Article
ISSN: 1757-6385

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Article
Publication date: 19 June 2018

Thomas Gehrig and Maria Chiara Iannino

This paper aims to analyze systemic risk in and the effect of capital regulation on the European insurance sector. In particular, the evolution of an exposure measure…

Abstract

Purpose

This paper aims to analyze systemic risk in and the effect of capital regulation on the European insurance sector. In particular, the evolution of an exposure measure (SRISK) and a contribution measure (Delta CoVaR) are analyzed from 1985 to 2016.

Design/methodology/approach

With the help of multivariate regressions, the main drivers of systemic risk are identified.

Findings

The paper finds an increasing degree of interconnectedness between banks and insurance that correlates with systemic risk exposure. Interconnectedness peaks during periods of crisis but has a long-term influence also during normal times. Moreover, the paper finds that the insurance sector was greatly affected by spillovers from the process of capital regulation in banking. While European insurance companies initially at the start of the Basel process of capital regulation were well capitalized according to the SRISK measure, they started to become capital deficient after the implementation of the model-based approach in banking with increasing speed thereafter.

Practical implications

These findings are highly relevant for the ongoing global process of capital regulation in the insurance sector and potential reforms of Solvency II. Systemic risk is a leading threat to the stability of the global financial system and keeping it under control is a main challenge for policymakers and supervisors.

Originality/value

This paper provides novel tools for supervisors to monitor risk exposures in the insurance sector while taking into account systemic feedback from the financial system and the banking sector in particular. These tools also allow an evidence-based policy evaluation of regulatory measures such as Solvency II.

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Expert briefing
Publication date: 22 December 2016

Myanmar insurance sector prospects.

Details

DOI: 10.1108/OXAN-DB216888

ISSN: 2633-304X

Keywords

Geographic
Topical
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Article
Publication date: 26 January 2021

Biju Mathew and Sunitha Sivaraman

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Originality/value

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.

Details

International Journal of Social Economics, vol. 48 no. 4
Type: Research Article
ISSN: 0306-8293

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Article
Publication date: 1 August 2019

Segundo Camino-Mogro and Natalia Bermúdez-Barrezueta

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

International Journal of Emerging Markets, vol. 14 no. 5
Type: Research Article
ISSN: 1746-8809

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Article
Publication date: 25 September 2019

Bishwajit Nayak, Som Sekhar Bhattacharyya and Bala Krishnamoorthy

Social health insurance framework of any country is the national identifier of the country’s policy for taking care of its population which cannot access or afford quality…

Abstract

Purpose

Social health insurance framework of any country is the national identifier of the country’s policy for taking care of its population which cannot access or afford quality healthcare. The purpose of this paper is to highlight the strategic imperatives of digital technology for the inclusive social health models for the BoP customers.

Design/methodology/approach

A qualitative exploratory study using in-depth personal interviews with 53 Indian health insurance CXOs was conducted with a semi-structured questionnaire. Using MaxQDA software, the interview transcripts were analyzed by means of thematic content analysis technique and patterns identified based on the expert opinions.

Findings

A framework for the strategic imperatives of digital technology in social health insurance emerged from the study highlighting three key themes for technology implementation in the social health insurance sector – analytics for risk management, cost optimization for operations and enhancement of customer experience. The study results provide key insights about how insurers can enhance the coverage of BoP population by leveraging technology.

Social implications

The framework would help health insurers and policymakers to select strategic choices related to technology that would enable creation of inclusive health insurance models for BoP customers.

Originality/value

The absence of specific studies highlighting the strategic digital imperatives in social health insurance creates a unique value proposition for this framework which can help health insurers in developing a convergence in their risk management and customer delight objectives and assist the government in the formulation of a sustainable social health insurance framework.

Details

International Journal of Sociology and Social Policy, vol. 39 no. 9/10
Type: Research Article
ISSN: 0144-333X

Keywords

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Article
Publication date: 25 October 2019

Ashiq Mohd Ilyas and S. Rajasekaran

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.

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Practical implications

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

Originality/value

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.

Details

International Journal of Productivity and Performance Management, vol. 69 no. 4
Type: Research Article
ISSN: 1741-0401

Keywords

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Article
Publication date: 21 June 2019

Ashiq Mohd Ilyas and S. Rajasekaran

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Practical implications

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

Originality/value

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.

Details

Benchmarking: An International Journal, vol. 26 no. 7
Type: Research Article
ISSN: 1463-5771

Keywords

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