Abolfazl Shahabadi, Mahsoomeh Ahmadi, Ali Moradi Ali Moradi,
Volume 9, Issue 31 (3-2018)
Abstract
The insurance industry as a means of transferring risk and paying damages, ensures the future and the confidence of individuals and as an investor's institution, It cumulation the saving resources and allocates it to the needs of investment and economic growth of the countries. Therefore, it is necessary to identify the factors influencing the development of this industry in countries with a low insurance penetration and action must be taken regarding reinforcement the increasing factors and Elimination its decreasing factors.In this regard, the present study has tried to determine the interaction between financial development and economic freedom indicators (total index, size of government, legal system and property rights, sound money, freedom to trade internationally and regulations) on the penetration insurance in Fifteen unsuccessful insurers will be insured over the period 2014-2000. For this purpose, the research model was estimated using panel data and generalized moment’s method. The results it shows the interaction of financial development and all index of economic freedom on insurance penetration the in selected countries have had a positive and meaningful. Also, the individual effect of financial development and total economic freedom index is positive and significant. However, their individual influence on the insurance penetration is less than their interaction. Finally, the effect of control variables including per capita income, human capital and urbanization rate on the insurance penetration in the selected countries have had a positive and meaningful and the effect of unemployment and inflation have had a negative and meaningful.
Abolfazl Shahabadi, Hossein Raghfar, Neda Solgi, Ali Moradi,
Volume 10, Issue 38 (12-2019)
Abstract
Insurance as a central risk-taking institution as well as one of the investment institutions increases economic participation, investment development and stimulating economic growth. Therefore, identification of the effective factors on the insurance penetration in developing countries seems necessary. In this regard, the present study attempted to investigate the impact of national competitiveness on insurance penetration coefficient in 20 developing countries during the period 2007-2017. The research model was estimated using panel data and generalized moment’s method in two case. In the first case, the sub-indicators of national competitiveness including basic requirements, efficiency enhancer’s factors and innovation and sophistication factors were used as key variables in the research, and in the second case, the overall competitiveness index is used as a key variable in the research model. The results showed that the effect of overall competitiveness index and its sub-indicators on insurance penetration was positive and significant. Also, the effect of control variables, including per capita income and urbanization rate on insurance penetration is positive and significant, and the effect of dependency ratio on insurance penetration is negative and significant.
Dr Samira Motaghi, Dr Yegane Mosavi Jahromi, Mr Mohammad Amin Taheri Gorgani,
Volume 14, Issue 51 (5-2023)
Abstract
Purpose: The insurance penetration rate is one of the most important indicators used to evaluate the insurance industry of a country. This ratio is also a measure to compare the performance of the insurance industry between developed and developing countries. The aim of this research is to compare the insurance penetration rate and the factors affecting it in high and low income countries.
Methodology: The current research examines the effect of variables such as inflation rate, education, labor productivity, dependency ratio and income on the insurance penetration rate in the period 2011-2021 and using PMG and ARDL methods to derive short-term and long-term equations in 18 countries with income High and low income and the country of Iran pays.
Findings: The results obtained from the estimation of long-term PMG models in high-income countries indicate a positive effect of dependency ratio, income level and fertility level on the insurance penetration rate, as well as a negative effect of inflation rate and labor productivity on the dependent variable, also in selected countries with high income. All the variables, except for education and dependency ratio, which had a positive and significant effect on the insurance penetration rate, are statistically meaningless. On the other hand, the findings from the estimation of the long-term ARDL model in Kesho Iran show the negative impact of the inflation rate on the insurance penetration rate and the positive impact of the education level, income level and dependency ratio on the insurance penetration rate.
