Objectif In the era of globalisation, supply chains are increasingly organised on the international level, thus disconnecting final consumption from the location of material extraction and related environmental and social impacts. Reducing these global impacts – or footprints – of European consumption is a major societal and scientific challenge. Methods to assess teleconnections between distant places of raw material extraction and consumption along global supply chains have improved significantly, with multi-regional input-output (MRIO) analysis being the most prominent method applied. However, the limited spatial resolution of MRIO models distorts footprint calculations, as specific properties of raw materials as well as impacts of extraction can vary significantly within production countries. I therefore propose a new method for the calculation of fine-scale material consumption footprints. It will encompass (1) a spatial assessment of global material extraction on a high-resolution grid and (2) a detailed physical model that tracks raw materials from the location of extraction via international transport facilities to processing industries in importing countries. Integrating this very detailed spatial information with a MRIO model will enable the first fine-scale assessment of European countries’ material footprints, overcoming prevailing aggregation errors in footprint indicators. Furthermore, I will investigate environmental and social impacts related to material footprints through linking the spatially explicit multi-regional material flow model with datasets on impacts related to raw material extraction, such as increasing water scarcity, deforestation and mining conflicts. This project will not only lift the accuracy of footprint models to a new level, but will also open up a range of options for sustainability assessments of specific commodity flows. Building on this knowledge, targeted policy instruments for sustainable product supply chains can be designed. Champ scientifique social scienceseconomics and businesseconomicssustainable economysocial sciencessociologyglobalization Programme(s) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Thème(s) ERC-2016-COG - ERC Consolidator Grant Appel à propositions ERC-2016-COG Voir d’autres projets de cet appel Régime de financement ERC-COG - Consolidator Grant Institution d’accueil WIRTSCHAFTSUNIVERSITAT WIEN Contribution nette de l'UE € 1 999 908,75 Adresse WELTHANDELSPLATZ 1 1020 Wien Autriche Voir sur la carte Région Ostösterreich Wien Wien Type d’activité Higher or Secondary Education Establishments Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 1 999 908,75 Bénéficiaires (1) Trier par ordre alphabétique Trier par contribution nette de l'UE Tout développer Tout réduire WIRTSCHAFTSUNIVERSITAT WIEN Autriche Contribution nette de l'UE € 1 999 908,75 Adresse WELTHANDELSPLATZ 1 1020 Wien Voir sur la carte Région Ostösterreich Wien Wien Type d’activité Higher or Secondary Education Establishments Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 1 999 908,75