Proximate determinants of particulate matter (PM2.5) emission, mortality and life expectancy in Europe, Central Asia, Australia, Canada and the US

Samuel Asumadu Sarkodie; Vladimir Strezov; Yijiao Jiang; Tim Evans

doi:10.1016/j.scitotenv.2019.05.278

Proximate determinants of particulate matter (PM_2.5) emission, mortality and life expectancy in Europe, Central Asia, Australia, Canada and the US

Sci Total Environ. 2019 Sep 15:683:489-497. doi: 10.1016/j.scitotenv.2019.05.278. Epub 2019 May 21.

Authors

Samuel Asumadu Sarkodie¹, Vladimir Strezov², Yijiao Jiang³, Tim Evans²

Affiliations

¹ Department of Environmental Sciences, Faculty of Science and Engineering, Macquarie University, NSW 2109, Australia; Nord University Business School (HHN), Post Box 1490, 8049 Bodø, Norway. Electronic address: asumadusarkodiesamuel@yahoo.com.
² Department of Environmental Sciences, Faculty of Science and Engineering, Macquarie University, NSW 2109, Australia; ARC Research Hub for Computational Particle Technology, Macquarie University NSW 2109, Australia.
³ ARC Research Hub for Computational Particle Technology, Macquarie University NSW 2109, Australia; School of Engineering, Faculty of Science and Engineering, Macquarie University, NSW 2109, Australia.

PMID: 31141750
DOI: 10.1016/j.scitotenv.2019.05.278

Abstract

Background: The growing concern with environmental related impacts on mortality and morbidity means that the conceptual framework of environment-health-economic policy nexus is salient in the global debate on air pollution.

Objectives: With time series data spanning 2000-2016, this study explored the proximate determinants of ambient air pollution, mortality, and life expectancy in North America, Europe & Central Asia, and East Asia & Pacific regions.

Methods: The study applied historical data on urban population, total pollution, energy consumption, GDP per capita, life expectancy, mortality rate and industrial PM_2.5 emissions to develop six parsimonious models using the generalized least squares (GLS) random-effects model estimation with first-order autoregressive [AR(1)] disturbance across 54 countries.

Results: An increase in income level by 1% declined mortality rate by 0.01% and increased longevity by ~0.02% (95% Confidence Interval [CI]) in the long-run. An increase in industrial PM_2.5 emissions per capita by 1% decreased life expectancy by 0.004% and mortality rate by 0.02% (95% CI). Intensification of energy consumption and its related services by 1% were found to increase industrial PM_2.5 emissions by 0.42-0.45% (95% CI). An inversed-U shaped curve between PM_2.5 emissions per capita and income levels was found at a turning point of US$ 48,061. The validity of an environmental Kuznets curve hypothesis between ambient air pollution and urbanization was confirmed, while a rapid increase in population had a significant positive impact on ambient air pollution.

Conclusion: Ambient air pollution contributes significantly in reducing life expectancy and increasing mortality. However, sustained economic development, along with energy efficiency, and sustainable urban settlement planning and management are potential options for reducing ambient air pollution while improving quality of life and environmental sustainability.

Keywords: Air pollution; EKC hypothesis; Energy consumption; Environmental sustainability; Mortality rate; Panel data.

MeSH terms

Air Pollutants / analysis*
Air Pollution / statistics & numerical data*
Asia / epidemiology
Asia, Eastern / epidemiology
Australia / epidemiology
Environmental Exposure / statistics & numerical data*
Europe / epidemiology
Life Expectancy
Mortality / trends*
North America / epidemiology
Particulate Matter / analysis*
Quality of Life

Substances

Air Pollutants
Particulate Matter