Urbanisation, incomes and their distributions, and the population degree of education are relevant factors for the development of insurance sector. This study estimates the different effects of the previously mentioned factors for life and non-life sector. We used the econometrics of panel data on 17 emerging economies from Asia and Europe over a 10-year period. We showed that urbanisation influenced significantly the life insurance demand in Asia, but not in Europe. Also, education was found to be significant only for the non-life sector in both regions and income was non-significant in Asia for non-life sector.
1 August 2020 in Journal of Behavioral and Experimental Economics
We investigate the influence of institutional factors upon life insurance demand for 32 European countries, considering the socio-demographic and economic determinants as control variables. Using a panel data approach, we find that life insurance demand is influenced differently by institutional indicators from the Worldwide Governance Indicators database, in emerging and transition markets compared to developed ones. The sound legal environment of developed countries, where the level of the rule of law is very homogeneous and very high, makes it non-significant for life insurance demand. For developing countries the enforceability of contracts, the independence of justice and the time efficiency of the judicial process positively influence the decision of citizens to buy life insurance contracts. The effect of income distribution over life insurance density varies across these two categories of countries. For transition and emerging markets we find a positive relationship between life insurance density, income distribution and level of urbanisation. In developed countries, because of the high levels of income, life insurance became a common good, not a luxury one, which makes income distribution an insignificant factor. For emerging and transition countries policymakers should concentrate more on strengthening trust in the insurance sector for reducing the gap with developed countries.
In most Eastern European countries, the life insurance market is poorly developed with respect to the income level of their citizens. Most of the academic literature investigating the determinants of this market focuses on cross-country- or individual-level studies. Our research assesses the specificities of the life insurance market at a subnational level, more specifically at the county level. The behavioral mechanisms are highlighted through cross-section linear regressions with spatial interactions on a database of 42 counties in Romania in 2015. One important result is the positive effect of insurance literacy, estimated in a national survey, on the demand for life insurance. Another significant result is the spatial diffusion process identified in life insurance density between neighboring counties. Among the control variables, we identified a significant positive impact of income and urbanization on the demand for life insurance and a negative impact of the unemployment rate.
6 February 2022 in The European Journal of Health Economics