埃塞俄比亚寿险需求的决定因素

Mohammed Meko, Kenenisa Lemie, Abel Worku
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引用次数: 4

摘要

人寿保险在防范因生命周期不确定性而导致的个人死亡风险方面发挥着重要作用。尽管保险业的表现有助于国家经济的平稳运行,但在埃塞俄比亚的背景下,整个行业,特别是人寿保险处于低发展水平。因此,本研究旨在调查埃塞俄比亚人寿保险需求的决定因素。该研究使用平衡面板数据模型,使用从四家保险公司收集的16年(2001-2016年)数据来检验人寿保险需求的决定因素。采用随机效应模型,采用STATA version 13软件对数据进行分析。本研究以寿险密度为因变量,以收入、通货膨胀、实际利率、预期寿命、年龄抚养比、保险价格和城市化为7个自变量。回归结果表明,实际利率、预期寿命、年龄抚养比、城市化和通货膨胀对埃塞俄比亚寿险需求的影响分别在1%和5%的显著水平上呈显著正相关,而人均GDP和保险价格对埃塞俄比亚寿险需求的影响不显著。城市化是影响寿险需求的最主要因素,其次是预期寿命、年龄抚养比和通货膨胀。实际利率是影响寿险需求的最不重要的因素。建议有关保险公司在推销其人寿保险产品时考虑这些因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinant of life insurance demand in Ethiopia
Life Insurance plays an important role to insure against lifetime uncertainty resulting for the mortality risk of individual. Even though the performance of insurance industry contributes to smooth operation of the nation’s economy, the industry in general and life insurance in particular is at its low level of development in Ethiopian context. This study therefore, is aimed at investigating the determinants of life insurance demand in Ethiopia. The study used balanced panel data model to examine the determinants of life insurance demand usingdata collected from four insurance companies for sixteen years, from 2001-2016. Random effect model was usedto analyze the data using STATA version 13 software. The study used life insurance density as dependent variable and seven independent variables that are income, inflation, real interest rate, life expectance, age dependence ratio, price of insurance and urbanization. The regression result show that real interest rate, life expectancies, age dependency ratio, urbanization  and inflation show positive and significant effect at 1% and 5% significance level on life insurance demand in Ethiopia, whereas GDP per capita and price of insurance has insignificant effect  on life insurance demand in Ethiopia.Urbanization is the most important factor that influences demand for life insurance followed by life expectance, age dependency ratio and Inflation. Real interest rate is the least important factor in influence demand for life insurance. The concerned insurance companies are recommended to consider these factors in marketing their life insurance products.
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