Analysis On The Impact Of Population Aging On Life Insurance Demand

With the development of economy and the society, as well as advances in medical science, the aging of population, a changed population structure, arises in the world. It influences every aspect of social life; therefore, it arouses public attention. Many factors affect the demand of life insurance, such as economic factors, cultural factors. While the aging of the population as the current increasingly prominent social contradictions, so the study on population aging mechanism of life insurance demand is necessary and meaningful. It not only extend the life insurance demand theory but also provide theoretical basis for relevant departments to formulate policies.At first this paper introduced the related work home and abroad, and reviewed the theoretical research and the positive research status of the population aging and life insurance demands. In the second part,this article introduce the related theoretical research on the aging of population and life insurance demands area.In the third part,this article introduced the status of the population aging and life insurance demands in Shandong Province. After that, it illustrates the impact mechanism of the aging on life insurance demands. The findings is that the population ageing in Shandong Province shows features such as large in number, rapid in growth, high in economic level and great differences among cities. Besides, the higher the economic level, the higher degree of aging.In the end, according to the empirical results, this article draws the following conclusions:the level of economic development has significant positive impact on life insurance demand; aging is also becoming another significant factor for life insurance demand; deposit interest rate has weakly negative impact on life insurance demand.The innovation of this paper lies at that put the aging of the population as the main factors to study the influence of aging on the demand of life insurance. Without theoretical research,there is also empirical analysis in this article by choosing the annual data of Shandong province from1989to2012.