Statistical analysis of global environmental impact patterns using a world multi-regional input–output database
作者： Janire Pascual-González , Gonzalo Guillén-Gosálbez , Josep M. Mateo-Sanz , Laureano Jiménez-Esteller
DOI: 10.1016/J.JCLEPRO.2014.11.065
关键词:
摘要: Abstract Understanding how anthropogenic impacts are generated at a global scale is major challenge to face. This work studies the environmental impact patterns of wealthiest nations using environmentally extended multi-regional input–output tables. A multivariate statistical analysis performed on data covering 69 indicators (classified into 5 main categories: energy, emissions, material, water and land) 41 countries. shows that damages in different categories (and also within same one) highly correlated countries display very similar patterns. These findings might help develop more effective regulations will focus controlling reduced number key indicators. In addition, pollution establish unified with
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