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MRIO for Global Resource Policy

The global consumption of natural resources has increased rapidly in the last few decades due to an increase in world population and significant economic growth of transition counties such as Brazil, Russia, India, China or South Africa. This trend is likely to continue for some time, further accelerating the depletion of fossil, metal and mineral resources and even threating the sustainability of biomass renewal. At the same time, the globalization of product supply chains has segmented the production processes of goods and services and increased international specialization of production. This implies the necessity of global resource policy to enhance and ensure the sustainability of resource use at a global level, in addition to sustainable resource management in each country. As is the case with global climate policy such multilateral initiatives need a sound underpinning of scientific facts, databases and models. Multiregional input-output (MRIO) analysis is one of the most powerful tools to analyse the relationship between resource extraction, global supply chains and consumption. MRIO analysis has been shown to quantitatively support the discussion on producers' and consumers' responsibilities for greenhouse gas emissions and the same can be expected for resource management.

Edited by: Keisuke Nansai and Thomas Wiedmann

 

  1. In the context of the transformation toward a “green economy,” issues related to natural resource use have rapidly increased in importance in European and international policy debates. The large number of stud...

    Authors: Stefan Giljum, Hanspeter Wieland, Stephan Lutter, Martin Bruckner, Richard Wood, Arnold Tukker and Konstantin Stadler
    Citation: Journal of Economic Structures 2016 5:17
  2. This study simultaneously analyzed the carbon and material footprints for three critical metals (neodymium, cobalt, and platinum) in Japanese households with different income levels. These metals are critical ...

    Authors: Yosuke Shigetomi, Keisuke Nansai, Shigemi Kagawa and Susumu Tohno
    Citation: Journal of Economic Structures 2016 5:1