Article ID Journal Published Year Pages File Type
1744688 Journal of Cleaner Production 2015 10 Pages PDF
Abstract

•Environmental impact patterns at a global scale are studied using input–output tables.•A statistical analysis is performed on data from a multi-regional input–output model.•There is a strong correlation between the analyzed environmental indicators.•Nations show similar pollution patterns despite polluting with different intensity.

Understanding how anthropogenic impacts are generated at a global scale is a major challenge to face. This work studies the environmental impact patterns of the wealthiest nations using environmentally extended multi-regional input–output tables. A multivariate statistical analysis is performed on data covering 69 environmental indicators (classified into 5 main categories: energy, emissions, material, water and land) and 41 countries. This analysis shows that damages in different categories (and also within the same one) are highly correlated and that the wealthiest countries display very similar environmental impact patterns. These findings might help to develop more effective environmental regulations that will focus on controlling a reduced number of key indicators. In addition, the analysis of pollution patterns at a global scale will help to establish unified environmental regulations in countries with similar patterns.

Related Topics
Physical Sciences and Engineering Energy Renewable Energy, Sustainability and the Environment
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