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The purpose of this chapter is to provide a description of the integration of Takaful in the domestic market, based on experiences in regional markets, focusing on the explanation of factors that could enhance the position of Takaful in certain areas.

The chapter describes the evolution of Takaful insurance in international and regional markets, and explains the articulation of this product in these markets. The chapter also provides an analysis of the Algerian market characteristics related to the Takaful product.

This work will be based on an analytical research of emerging markets and their success factors; then it will be necessary to provide an overview of the product containing Takaful; and finally we will try to follow the experience of the national insurance market with the new product, supplied by the Salama Company, and determine the potential of Algeria in this area.

This work offers an opportunity to understand the mechanisms needed to activate the local market and opens the prospects for effective integration of Islamic financial products gradually, in order to prepare for changes that would provide more financial products suited to the requirements of social development in the Algerian economy.

Due to climate change and an increasing concentration of the world’s population in vulnerable areas, how to manage catastrophe risk efficiently and cover disaster losses fairly is still a universal dilemma.

This paper applies a law and economic approach.

China’s mechanism for managing catastrophic disaster risk is in many ways unique. It emphasizes government responsibilities and works well in many respects, especially in disaster emergency relief. Nonetheless, China’s mechanism which has the vestige of a centrally planned economy needs reform.

I propose a catastrophe insurance market-enhancing framework which marries the merits of both the market and government to manage catastrophe risks. There are three pillars of the framework: (i) sustaining a strong and capable government; (ii) government enhancement of the market, neither supplanting nor retarding it; (iii) legalizing the relationship between government and market to prevent government from undermining well-functioning market operations. A catastrophe insurance market-enhancing framework may provide insights for developing catastrophe insurance in China and other transitional nations.

First, this paper analyzes China’s mechanism for managing catastrophic disaster risks and China’s approach which emphasizes government responsibilities will shed light on solving how to manage catastrophe risk efficiently and cover disaster losses fairly. Second, this paper starts a broader discussion about government stimulation of developing catastrophe insurance and this framework can stimulate attention to solve the universal dilemma.

Insurance in Malta has been very largely influenced by English practice and law. The influence of the English market insurance practice and law not only shaped the Maltese market but practically that of all common law jurisdictions in former members of the British empire. Since the London insurance market continues to be a very dominant force globally until today, the connection has undoubtedly served Malta well.

The origins of UK insurance principles of utmost good faith and insurable interest under contract law, date back to times which were very different from today and the need to revise the laws has now been felt in the UK as well as in other jurisdictions which were influenced by its law and practice. In Malta, minimal legislative intervention and the Maltese courts were and continue to be mostly guided by English case law, some of which has now been superseded by the updated statute law which was recently introduced in the UK by virtue of the Consumer Insurance (Disclosure and Representations) Act (2012) and Insurance Act (2015).

We herein lay out a case study of the development of utmost good faith and insurable interest in insurance contracts within the Maltese legal context, based on empirical literature findings and semi-structured interviews together with several legal experts who are specialized in the field and experienced insurance professionals.

Purpose: The scope of this research is to conduct a study on the perceived effectiveness of developments in InsurTech, by determining online use integration in the Maltese insurance market.

Methodology: To do this, the authors employed a self-administered questionnaire to which 471 participants responded on a 5-point Likert scale. We subjected the data collected from this questionnaire to statistical analysis, specifically, exploratory factor analysis (EFA) and multiple linear analysis using the Statistical Package for Social Science (SPSS) version 26.

Results: EFA loaded best on five factors of insurance customers’ perceived effectiveness, which make up the effectiveness model (EM), namely ‘Factor 1 – Internal Process Enhancement’, ‘Factor 2 – Cost-Efficiencies’; ‘Factor 3 – Time-Sensitive Conditions’, ‘Factor 4 – The Contemporary Use of Artificial Intelligence and Marketing in Relation to Customer Service’ and ‘Factor 5 – Customer Relations and Application of InsurTech in Communication’. Moreover, multiple linear regression results show that the perceived effectiveness dimension – EM is statistically significantly related to online use in Malta.

Practical implications: Therefore, it can be argued that the Maltese insurance sector is well prepared to meet the obligations and requirements of the European Green Deal. Findings shed light on the preparedness of the Maltese insurance market to accept innovative green proposals to go online with processes.

Economic security is one of the crucial dimensions of the welfare state. High-income individuals are able to purchase private insurance, but a large portion of the individuals remains uninsured. The authors have tried to rationalize the problem of the study over the reason why people remain uninsured. Hence, the purpose of the study is to identify an insurance model that can cover the risk of the heterogeneous segments. The study is qualitative in nature and applies a fuzzy analytic hierarchy process (FAHP). Based on seven criteria, process is applied to arrive at an alternative model among basic models of insurance, namely, conventional private insurance, mutual, and social insurance. Since social insurance has emerged with the highest score of 41% in the study, it is implied that social insurance works best in a situation where the market is full of private information and moral hazard. The findings reaffirm that government intervention is required in an insurance market to provide coverage to both covariate and idiosyncratic risks. The findings are especially relevant in the context of emerging markets where a sizeable poor population goes uninsured. The study contributes to the literature by proposing alternative insurance to address the problem of insuring the voluntarily uninsured.

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 systematic risks related to credit financing has received significant attention in the academic domain during and after any financial crisis. However, the role of insurance has not been adequately studied in the context of crises. The extant literature also shows that the scale of credit financing depends upon the availability of credit insurance and on the policy orientation. Past evidence shows that demand for credit insurance was significantly high during the crisis period. Therefore, this chapter proposes to study the role of various combinations of these two aspects near the period of crisis. The findings of this chapter are based on the outcomesof previous research articles on these topics. The research articles are gathered from various online databases for the years 2000–2014 for the G7 economies. This chapter has alsoincluded facts from contextual policy documents on monetary and fiscal policies where it finds them necessary. Broadly, this chapter describes the role of policies when two mutually dependent industries interact and adversely impact market equilibrium.

In the spirit of Polachek (1975) and the later work of Becker (1985) on the role of specialization within the family, we examine the relationship between fringe benefits and the division of labor within a married household. The provision of fringe benefits is complicated by their non-additive nature within the household, as well as IRS regulations that stipulate that they be offered in a non-discriminatory manner in order to maintain their tax-exempt status. We model family decisions within a framework in which one spouse specializes in childcare and as a result experiences a reduction in market productive capacity. Our model predicts that the forces toward specialization become stronger as the number of children increase, so that the spouse specializing in childcare will have some combination of lower wages, hours worked, and fringe benefits. We demonstrate that to the extent that labor markets are incomplete, the family is less likely to obtain health insurance from the employer of the spouse that specializes in childcare. Using data from the April 1993 CPS we find evidence consistent with our model.

Purpose: The primary objective of this investigation is to determine the importance of big data, machine learning, and systems integration in the creation, production, and promotion of the corporation’s life insurance products marketed in India overall designated insurance carriers. It is also necessary to investigate the function of these instruments in the sectors financial designed and operated managing approaches.

Methodology: The approach used for this analysis is mainly connected to evolutionary and exploratory research. Secondary information is used to obtain the necessary data for the study topic. Secondary data included scientific papers and videos supplied by specialists in diverse domains.

Findings: In this chapter, the authors explain the financial function of large data sets, computer sciences, and content marketing modelling and simulation in the designing, developing, and deploying financial products. The researcher investigated the sale of life insurance plans in India. Insurance Governing Planning Commission is a controlling organisation from the Government of India that oversees all registered insurance businesses in India. Insurance Regulatory and Development Authority (IRDAI) regulates a total of 60 businesses. Thirty-four are in the commercial banking industry, 24 are in the life insurance industry, and 2 are more significant than the average total cost.

Practical implication: Data analytics approaches in financial technological processes and private insurers are helping them increase their business turnovers, collections, and revenue. Similarly, big analysis of data is becoming increasingly important in corporate finance in the life insurance industry, particularly in improving operations, as well as attempting to address numerous problems such as how to optimise marketing strategies and how to enhance customer experience, which has resulted in the most significant goal of improving operational efficiency in the financial industry.