Literature DB >> 33268260

A highly resolved MRIO database for analyzing environmental footprints and Green Economy Progress.

Livia Cabernard1, Stephan Pfister2.   

Abstract

Moving towards a greener economy requires detailed information on the environmental impacts of global value chains. Environmentally-extended multi-regional input-output (MRIO) analysis plays a key role in providing this information, but current databases are limited in their spatial (e.g. EXIOBASE3) or sectoral resolution (e.g. Eora26 and GTAP) as well as their indicator coverage. Here, we present an automated, transparent, and comparably time-efficient approach to improve the resolution, quality, and indicator coverage of an existing MRIO database. Applied on EXIOBASE3, we disaggregate and improve the limited spatial resolution by weighting each element with country and sector specific shares derived from Eora26, FAOSTAT, and previous studies. The resolved database covers 189 countries, 163 sectors, and a cutting-edge set of environmental and socio-economic indicators from the years 1995 to 2015. The importance of our improvements is highlighted by the EU-27 results, which reveal a significant increase in the EU's water stress and biodiversity loss footprint as a result of the spatial disaggregation and regionalized assessment. In 2015, a third of the EU's water stress and half of its biodiversity loss footprint was caused in the countries aggregated as rest of the world in EXIOBASE3. This was mainly attributed to the EU's food imports, which induce comparably high water stress and biodiversity loss in Egypt and Madagascar, respectively. In a second example, we use our database to add carbon, water stress and biodiversity loss footprints to the Green Economy Progress (GEP) Measurement Framework. Most countries have not achieved their environmental target and many countries, facing strong future population growth, show increasing footprints. Our results demonstrate that far more action is needed to move towards a greener economy globally, especially through supply chain management. The attached database provides detailed information on the environmental impacts of global value chains to plan efficient strategies for a greener economy.
Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biodiversity loss; Carbon footprint; Environmental footprints; Multi-regional input-output (MRIO) analysis; Supply chain analysis; Water stress footprint

Year:  2020        PMID: 33268260     DOI: 10.1016/j.scitotenv.2020.142587

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Spatial correlation network characteristics of embodied carbon transfer in global agricultural trade.

Authors:  Guofeng Wang; Qinyang Guo; Xinsheng Zhou; Fan Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2022-08-05       Impact factor: 5.190

  1 in total

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