DOI: 10.5281/zenodo.18418965
title: Scenario-based consumption-based GHG emissions and material extraction results for ADEME Transition(s) 2050 pathways in France (2015–2050) using the MatMat EEIO model
title: Data supporting the article "Reducing GHG emissions and raw materials embodied in imports: assessing a cross-sectoral sufficiency-oriented national climate strategy in France" (Journal of Industrial Ecology).

description: Overview

This dataset supports the article “Reducing GHG emissions and raw materials embodied in imports: assessing a cross-sectoral sufficiency-oriented national climate strategy in France” (Journal of Industrial Ecology).

It contains scenario-based results derived from the ADEME Transition(s) 2050 framework for France, focusing on two contrasted pathways:



S1 = Sufficiency-oriented scenario (Suff.)

S3 = Efficiency-driven (Eff.)


Results are reported for the 2015 reference year (Ref.) and for 2050 under S1 (Suff.) and S3 (Eff.) using the MatMat Environmentally Extended Input–Output (EEIO) model.

Main result variables

For the selected environmental pressures, GHG emissions and raw material extraction, the dataset provides:



Consumption-based environmental pressures embodied in final demand with endogenous capital formation (d_cba)

Environmental pressures embodied in imported goods and services required to satisfy final demand (d_imp)

Mapping between imported and final consumption-based pressures (mapping)


Indicators are disaggregated, depending on the variable, by final consumption categories, sectors and goods/services, environmental pressure types, and geographic origin: domestic (France) versus imported from the Rest of the World (RoW). For selected outputs, imported pressures are further distinguished between intra-EU27 and extra-EU27 origins.

These results enable a detailed analysis of upstream supply-chain dependencies and a transparent tracking of how imported embodied impacts contribute to total final consumption-based pressures. 

Additional supporting files

To ensure transparency and reproducibility, the dataset also includes:



detail_levels.xlsx → Description of detail levels used in the analysis and in the article (final demand categories, sectors, pressure types, regional aggregation)

bridge_matrices.xlsx → Aggregation matrices allowing full reconstruction of all published figures

population.xlsx → Scenario-specific population assumptions

scenario_mapping.xlsx → Mapping between article terminology (Ref., Eff., Suff.) and official ADEME naming (Base year, S3, S1)

unit.xlsx → Units used for each variable and dataset


Important note

This version of the dataset includes results only. IO-compatible shocks used to generate the scenarios are not included in this release and will be made available in a future version of the dataset. 

Data provenance and licence restrictions

This dataset is a derived dataset computed from the EXIOBASE v3.8.2 multi-regional input-output database using the MatMat modelling framework. It does not contain the original EXIOBASE tables but numerical results calculated from them and cannot be used to reconstruct or substitute the EXIOBASE database.

Use of this dataset is restricted by the EXIOBASE data conditions, in particular: non-commercial use only and no use by for-profit entities.

Users must cite both this dataset and the EXIOBASE database and its reference publications.