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Environmental degradation and population health outcomes: a global panel data analysis

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Abstract

This study investigates the relationship between environmental degradation and population health using a global panel data of 180 countries from 1990 to 2016. The empirical analysis is conducted using fixed-effects approach based on Hausman test. Moreover, two-stage least squares (2SLS) and system-generalized method of moments (SGMM) are used to deal with the endogenous nature of environmental degradation. The indicators of life expectancy and infant mortality are used to measure population health, whereas environmental degradation is measured by CO2 emissions. The empirical findings show that environmental degradation negatively influences population health outcomes. It implies that countries having a high level of environmental degradation experience low life expectancy and high infant mortality rates. Findings of the study suggest that health-related reforms need to be aligned with policies which ensure lower environmental degradation.

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Authors and Affiliations

  1. School of Economics, Quaid-i-Azam University, Islamabad, Pakistan

    Muhammad Tariq Majeed

  2. Faculty of Economics and Administrative Sciences, Cag University, Mersin, Turkey

    Ilhan Ozturk

  3. Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan

    Ilhan Ozturk

  4. Department of Finance, Asia University, 500, Lioufeng Rd., Wufeng, Taichung, 41354, Taiwan

    Ilhan Ozturk

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  1. Muhammad Tariq Majeed
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  2. Ilhan Ozturk
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Correspondence to Ilhan Ozturk.

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Appendix

Appendix

Table 5 Pooled OLS result of CO2 and health (infant mortality)
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Table 6 Fixed effects result of CO2 and health (infant mortality)
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Table 7 Random effects result of CO2 and health (infant mortality)
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Majeed, M.T., Ozturk, I. Environmental degradation and population health outcomes: a global panel data analysis. Environ Sci Pollut Res 27, 15901–15911 (2020). https://doi.org/10.1007/s11356-020-08167-8

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