Bosede Ngozi Adeleye, Aviral Kumar Tiwari, Muhammed Ibrahim Shah, Saif Ullah
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Analysing the Impact of Carbon Emissions and Non-Renewable Energy Use on Infant and Under-5 Mortality Rates in Europe: New Evidence Using Panel Quantile Regression
This study critically examines the health-environment discourse and uses infant and under-5 mortality rates, carbon emissions, and non-renewable energy to investigate the inherent associations. We argue that the concentration of greenhouse gas emissions is considered to increase and can undermine the access to basic resources necessary for leading a healthy life, such as access to food, water, health, and the environment. Environmental health is closely linked to human health. The world is witnessing a substantial increase in greenhouse gas emissions, which pose a significant threat to both environment and human health. Hence, this study contributes to the discourse with unbalanced panel data on 46 European countries from 2005 to 2015 to investigate the impact of carbon emissions and non-renewable energy on infant and under-5 mortality rates. Consistent findings from static and dynamic analyses reveal that (1) carbon emission is positively associated with mortality rate; (2) non-renewable energy shows a significant negative relationship; (3) persistency in mortality rates exists; (4) positive (negative) association of emissions (non-renewable energy) dwindles (increases) in absolute value at higher distributions of mortality rates; and (5) Euro Union countries show lower mortality rates relative to non-Euro Union members. Policy recommendations are discussed.
期刊介绍:
Environmental Modeling & Assessment strives to achieve this by publishing high quality, peer-reviewed papers that may be regarded as either instances of best practice, or as studies that advance the evolution and applicability of the theories and techniques of modeling and assessment. Consequently, Environmental Modeling & Assessment will publish high quality papers on all aspects of environmental problems that contain a significant quantitative modeling or analytic component, interpreted broadly. In particular, we are interested both in detailed scientific models of specific environmental problems and in large scale models of the global environment.
We invite models of environmental problems and phenomena that utilise, in an original way, the techniques of ordinary and partial differential equations, simulation, statistics and applied probability, control theory, operations research, mathematical economics, and game theory.
Emphasis will be placed on the novelty of the model, the environmental relevance of the problem, and the generic applicability of the techniques used. Generally, papers should be written in a manner that is accessible to a wide interdisciplinary audience.