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The purpose of this paper is to examine insurance regulation theories, regulatory agency structures and measures.

This study investigates significance of regulatory agency structure, key regulatory measures, political stability and cultural dimension in insurance markets of 56 developed and developing countries for 2005‐2009.

It was found that insurance consumption is lower in countries with an authority exclusively for insurance regulation but life insurance consumption is higher when the agency is part of government or when another agency is jointly responsible for insurance regulation. Market entry regulation leads to lower consumption whereas market exit regulation has the opposite effect. Solvency regulation and required use of standard forms for insurer financials lead to greater consumption of insurance. A positive impact on the nonlife market is observed for accounting regulation and regulator's intervention power.

Price control regulation may lower consumption of insurance whereas tariff rating brings about a rise in the consumption. Regulation of insurance intermediaries or corporate governance may lower insurance consumption whereas the requirement that insurers employ an actuary or actuaries gives rise to the consumption.

The author found no difference between OECD and non‐OECD countries. However, corruption‐freeness and inflation impact insurance consumption. Using OECD country data only, a negative impact was found of the single agency structure and tariff regulation in the life insurance market and a positive impact of regulation by two or more agencies in the life insurance market and of price control regulation in the nonlife insurance market. Corruption‐freeness positively affects the loss ratio in the life insurance market and the combined ratio in the nonlife insurance market.

Given the increasing importance of engineering insurance, it is still unclear which specific factors can enhance the role of engineering insurance as a risk transfer tool. This study aims to propose a hybrid approach to identify and analyze the key determinants influencing the consumption of engineering insurance in mainland China.

The empirical analysis utilizes provincial data from mainland China from 2008 to 2019. The research framework is a novel amalgamation of the generalized method of moments (GMM) model, the quantile regression (QR) technique and the random forest (RF) algorithm. This innovative hybrid approach provides a comprehensive exploration of the driving factors while also allowing for an examination across different quantiles of insurance consumption.

The study identifies several driving factors that significantly impact engineering insurance consumption. Income, financial development, inflation, price, risk aversion, market structure and the social security system have a positive and significant influence on engineering insurance consumption. However, urbanization exhibits a negative and significant effect on the consumption of engineering insurance. QR techniques reveal variations in the effects of these driving factors across different levels of engineering insurance consumption.

This study extends the research on insurance consumption to the domain of the engineering business, making theoretical and practical contributions. The findings enrich the knowledge of insurance consumption by identifying the driving factors specific to engineering insurance for the first time. The research framework provides a novel and useful tool for examining the determinants of insurance consumption. Furthermore, the study offers insights into the engineering insurance market and its implications for policymakers and market participants.

The purpose of this paper is to analyze the macroeconomic determinants of life insurance demand in India. The recent decline in life insurance activity calls for a study on the factors influencing life insurance demand in India.

This study employs econometric techniques like augmented Dickey-Fuller test, Johansen cointegration test, vector error correction models and the Granger causality test to estimate the macroeconomic predictors of life insurance demand in India, during the period 1980-1981 to 2013-2014.

Financial sector development and inflation positively influence life insurance demand in India. The real rate of interest and income are negatively related to life insurance consumption. The study finds an insignificant relation between the level of social security expenditure and life insurance buying. Financial sector development is found to Granger-cause life insurance demand.

Product-wise analysis of life insurance demand is not attempted due to lack of unit-level data. The impact of regulatory changes on life insurance demand in India is not attempted.

Intervention by the policy makers is required to arrest the decline of life insurance activity in India. Efforts are required to widen the financial sector of the Indian economy to accelerate the growth of life insurance activity.

The paper introduces a new measure of life insurance demand, the total regular new business premium, in the estimation of life insurance demand determination.

In the past two decades, many emerging economies have been witnessed the strong growth of their life insurance industry. While research in the demand for life insurance has attracted much attention since the 1960s, most studies have focused on cross‐country studies or well‐established markets in developed countries. As a result of cross‐national variations in life insurance consumption, it has been argued in the literature that factors shaping the demand for life insurance are complex and varied from one country to another. This paper aims to examine key determinants of the demand for life insurance in China with a view to explaining the rapid growth of the life insurance industry in China since its economic reform in 1978. Empirical investigation using a time series data analysis has shown that the main factors which have influenced people in China to purchase life insurance products are directly associated with the successful economic reform leading people to progress to higher layers of economic security, the increase in the level of education and the change in social structure. However, this research has not found a negative effect of inflation on life insurance consumption, even China experienced high inflation in the mid‐1990s.

With the rapid development of the economy in China, the wealth of residents has continued to increase, and most families have gradually been aware of the importance of commercial insurance. The family purchase of insurance in China was still not optimistic. Many scholars focus on wealth allocation, but the attention to the commercial insurance market was still less. Based on previous research studies, this study aims to investigate the impact of education and financial literacy on the commercial insurance purchase in China.

China Household Finance Survey data was used to investigate the purchase of commercial insurance in Mainland Chinese families. Factor analysis was used to construct financial literacy, and the education data were combined to analyze the commercial insurance purchase using the Probit model and the Tobit model. Finally, the contributions of education and financial literacy to commercial insurance purchases were analyzed.

Both education and financial literacy exerted a positive impact on the purchase of commercial insurance in China. Individual characteristics such as gender, age, marital status, risk attitude, purchase of social insurance and consultation with a financial advisor possessed significant effects; household factors like household size and assets, macro factors such as the density of financial institutions and the density of financial industry staff, and regional factors as local unemployment rate excreted influences on the commercial insurance purchase.

Based on the current economic development in China, this study investigated and expressed opinions on the public and insurance companies regarding commercial insurance purchases. It accentuated financial literacy and education as factors that facilitated commercial insurance development.

Purpose: The connection between insurance and the degree of economic development of countries has been long studied in the literature, being argued that they are potentiating each other. Against this background, the objective of this chapter is to appraise the way in which the insurance activity, overall, and, distinctively, considering only the life insurance field, is interconnected with the economic development of the European Union (EU) Member States.

Method: In order to assess the insurance development, we considered the insurance density and penetration degree indicators (total and life insurance), and, for the wellbeing dimension, we applied the Human Development Index (HDI), associated with other economic indicators. The research methodology consists of an advanced econometric procedure, namely macroeconometric models – robust regression, for the period 2007–2019.

Findings: The results obtained highlight significant positive associations between insurance development and wellbeing at the level of EU countries.

Originality and Significance of Findings: This research considers an integrative indicator that measures the wellbeing dimension, including the human factor (HDI), in addition to the economic development degree, that has not been addressed so far in the literature, which reveals the originality of this study. Thereby, adjusted policies and strategies developed to sustain the main components of HDI (education, life expectancy and living standards) became paramount keystones in order to promote insurance development.

I build an equilibrium model trying to reconcile investor preferences with several features of the cat bond market. The driving force behind the model is a habit process, in that catastrophes are rare economic shocks that could bring investors closer to their subsistence level. The calibration requires shocks with an impact between −1% and −3% to explain a reasonable level of cat bond spreads. Such investor preferences are not only able to generate realistic cat bond returns and price comovement among different perils, but may also able to explain why cat bonds offer higher rewards compared to equally rated corporate bonds.

Against the background that Ghanaians seldom purchase insurance policies, the purpose of this paper is to investigate the determinants of life insurance uptake among male and female household heads in Ghana.

The study employs data on 775 male and 233 female household heads from the sixth round of the Ghana Living Standards Survey. Adjusted Wald test statistics and logistic regressions are employed for the empirical estimations.

Results from the adjusted Wald test show that the sampled male household heads significantly differ from their female counterparts in terms of the selected socioeconomic and demographic characteristics. Though ill health status, higher wealth, being self-employed or in wage or salaried employment and residing in either of the three northern regions (upper east, upper west and northern regions) in Ghana broadly affect the demand for life insurance among both male and female heads, other factors are peculiar to either parties. Particularly, whereas female heads who are married and those with more dependants have a higher propensity of purchasing life insurance policies, their male counterparts with higher education are more likely to buy life insurance policies.

The paper adds to the paucity of cross-sectional studies on life insurance demand in Africa.

Based on the explored determinants, insurers could better regulate the purchase of their products by taking into consideration the gender differences to maximize their sales and enhance economic growth and development.

This paper explores the gender dynamics in the determinants of life insurance demand in a developing country, Ghana. Besides, findings from related literature are reported to be mixed. Though the current paper is not wholly nationally representative, it utilizes data from across all the ten administrative regions of Ghana. To the best of the authors’ knowledge, no prior study has been conducted in this manner.

Life insurance is bought with a prior belief that promise stipulated in policy will be honored when due. Discernibly, this belief is backed by the confidence that financial markets and economy will demonstrate satisfactory performance. However, individuals' confidence levels may get shaken through naïve reinforcement learning if they witness negative market or economic condition. Considering this the authors investigate the relationship between investor confidence and life insurance demand.

The authors used bias corrected bootstrapped sample of OECD economies to examine the link between investor confidence and life insurance demand when two possible economic conditions were witnessed: 1) normal/economic expansion and 2) economic/debt impairment. The findings are robust to alternate estimation techniques and endogeneity.

The authors found that lower investor confidence, sovereign debt impairment and negative market condition will have negative repercussion on life insurance demand. On the other hand, investor confidence-life insurance demand nexus is merely influenced by market and economic condition.

This is a premier research explaining the nexus between investor confidence and life insurance demand in the context of life-cycle hypothesis, sovereign ratings channel and experience-confidence-belief framework. The finding will help economic policy-makers in developing pre-emptive measures to protect life insurance businesses from negative repercussions of lower confidence and negative market conditions.