Impacts from Economic Development and Environmental Factors on Life Expectancy: A Comparative Study Based on Data from Both Developed and Developing Countries from 2004 to 2016

Zhiheng Chen, Yuting Ma, Junyi Hua, Yuanhong Wang and Hongpeng Guo
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Zhiheng Chen: College of Northeast Asian Studies, Jilin University, No. 2699 Qianjin Street, Changchun 130012, China
Yuting Ma: College of Biological and Agricultural Engineering, Jilin University, No. 5988 Renmin Street, Changchun 130022, China
Junyi Hua: College of Biological and Agricultural Engineering, Jilin University, No. 5988 Renmin Street, Changchun 130022, China
Yuanhong Wang: College of Biological and Agricultural Engineering, Jilin University, No. 5988 Renmin Street, Changchun 130022, China
Hongpeng Guo: College of Biological and Agricultural Engineering, Jilin University, No. 5988 Renmin Street, Changchun 130022, China

IJERPH, 2021, vol. 18, issue 16, 1-18

Abstract: Both economic development level and environmental factors have significant impacts on life expectancy at birth (LE). This paper takes LE as the research object and selects nine economic and environmental indicators with various impacts on LE. Based on a dataset of economic and environmental indicators of 20 countries from 2004 to 2016, our research uses the Pearson Correlation Coefficient to evaluate the correlation coefficients between the indicators, and we use multiple regression models to measure the impact of each indicator on LE. Based on the results from models and calculations, this study conducts a comparative analysis of the influencing mechanisms of different indicators on LE in both developed and developing countries, with conclusions as follow: (1) GDP per capita and the percentage of forest area to land area have a positive impact on LE in developed countries; however, they have a negative impact on LE in developing countries. Total public expenditure on education as a percentage of GDP and fertilizer consumption have a negative impact on LE in developed countries; however, they have a positive impact on LE in developing countries. Gini coefficient and average annual exposure to PM 2.5 have no significant effect on LE in developed countries; however, they have a negative impact on LE in developing countries. Current healthcare expenditures per capita have a negative impact on LE in developed countries, and there is no significant impact on LE in developing countries. (2) The urbanization rate has a significant positive impact on LE in both developed countries and developing countries. Carbon dioxide emissions have a negative impact on LE in both developed and developing countries. (3) In developed countries, GDP per capita has the greatest positive impact on LE, while fertilizer consumption has the greatest negative impact on LE. In developing countries, the urbanization rate has the greatest positive impact on LE, while the Gini coefficient has the greatest negative impact on LE. To improve and prolong LE, it is suggested that countries should prioritize increasing GDP per capita and urbanization level. At the same time, countries should also work on reducing the Gini coefficient and formulating appropriate healthcare and education policies. On the other hand, countries should balance between economic development and environmental protection, putting the emphasis more on environmental protection, reducing environmental pollution, and improving the environment’s ability of self-purification.

Keywords: life expectancy; multiple regression models; environmental factors; socio-economic development (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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