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      Is industrial pollution detrimental to public health? Evidence from the world’s most industrialised countries

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          Abstract

          Background

          Industrial pollution is considered to be a detrimental factor for human health. This study, therefore, explores the link between health status and industrial pollution for the top 20 industrialised countries of the world.

          Methods

          Crude death rate is used to represent health status and CO 2 emissions from manufacturing industries and construction, and nitrous oxide emissions are considered to be indicators of industrial pollution. Using annual data of 60 years (1960–2019), an unbalanced panel data estimation method is followed where (Driscoll, J. C. et al. Rev Econ Stat, 80, 549–560, 1998) standard error technique is employed to deal with heteroscedasticity, autocorrelation and cross-sectional dependence problems.

          Results

          The research findings indicate that industrial pollution arising from both variables has a detrimental impact on human health and significantly increases the death rate, while an increase in economic growth, number of physicians, urbanisation, sanitation facilities and schooling decreases the death rate.

          Conclusions

          Therefore, minimisation of industrial pollution should be the topmost policy agenda in these countries. All the findings are consistent theoretically, and have empirical implications as well. The policy implication of this study is that the mitigation of industrial pollution, considering other pertinent factors, should be addressed appropriately by enunciating effective policies to reduce the human death rate and improve health status in the studied panel countries.

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          Most cited references64

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          Consistent Covariance Matrix Estimation with Spatially Dependent Panel Data

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            On the Concept of Health Capital and the Demand for Health

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              Effect of foreign direct investments, economic development and energy consumption on greenhouse gas emissions in developing countries

              In accordance with the Sustainable Development Goal 17 of improving global partnership for sustainable development, this study examined the effect of foreign direct investment inflows, economic development, and energy consumption on greenhouse gas emissions from 1982 to 2016 for the top five emitters of greenhouse gas emissions from fuel combustion in the developing countries, namely; China, India, Iran, Indonesia and South Africa. The study employed a panel data regression with Driscoll-Kraay standard errors, U test estimation approach and panel quantile regression with non-additive fixed-effects. The study found a strong positive effect of energy consumption on greenhouse gas emissions and confirmed the validity of the pollution haven hypothesis. The environmental Kuznets curve hypothesis is valid for China and Indonesia at a turning point of US$ 6014 and US\(2999; second, a U-shape relationship is valid for India and South Africa at a turning point of US\) 1476 and US$ 7573. Foreign direct investment inflows with clean technological transfer and improvement in labour and environmental management practices will help developing countries to achieve the sustainable development goals. Mitigation of greenhouse gas emissions depends on enhanced energy efficiency, adoption of clean and modern energy technologies, such as renewable energy, nuclear, and the utilization of carbon capture and storage for fossil fuel and biomass energy generation processes.
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                Author and article information

                Contributors
                mafiz.rahman@usq.edu.au
                alam.khosrul@gmail.com
                Eswaran.Velayutham@usq.edu.au
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                18 June 2021
                18 June 2021
                2021
                : 21
                : 1175
                Affiliations
                [1 ]GRID grid.1048.d, ISNI 0000 0004 0473 0844, School of Business, , University of Southern Queensland, ; Toowoomba, QLD 4350 Australia
                [2 ]GRID grid.449329.1, ISNI 0000 0004 4683 9733, Department of Economics, , Bangabandhu Sheikh Mujibur Rahman Science and Technology University, ; Gopalganj, 8100 Bangladesh
                Article
                11217
                10.1186/s12889-021-11217-6
                8213381
                34144705
                58c2aec0-bd07-4cd6-b54b-823aa1e596c1
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 30 March 2021
                : 7 June 2021
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Public health
                health status,industrial pollution,unbalanced panel data,industrialised countries,driscoll and kraay’s standard error,c33,i10,o14,q53

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