The Role of Sufficiency Measures in a Decarbonizing Europe

This repository accompanies the paper:

"The Role of Sufficiency Measures in a Decarbonizing Europe"
Published: 29 April 2025, Ecological Economics
DOI: 10.1016/j.ecolecon.2025.108645

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Overview

This repository provides all code, data, and instructions required to reproduce the scenarios and results presented in the paper. The analysis is based on the MARIO software package, which is used for environmentally extended input-output modeling.

All data and results are also available on Zenodo:
🔗 Zenodo Repository

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Repository Structure

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├── 1. Database building.ipynb     # Builds and prepares Exiobase database with new technologies required
├── 2. Shock building.ipynb        # Constructs scenario-specific shock files 
├── 3. Model run.ipynb             # Runs all scenarios and exports results
├── Data/                          # Contains input databases and raw files (it's created while running the notebooks)
├── Shocks/                        # Templates, mappings, and filled shock files
└── Outputs/                       # Results and aggregated outputs (it's filled while running the notebooks)

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Getting Started

1. Environment Setup

Install all dependencies using the provided Conda environment file:

conda env create -f _environment.yml
conda activate fulfill_env

2. Data Download

All required data can be downloaded automatically by running the notebooks in sequence.

Alternatively, you can manually download the full dataset from Zenodo and extract the contents into the appropriate folders (Data/, Shocks/, etc.) as described in each notebook.

Workflow

Step 1: Database Preparation

Run 1. Database building.ipynb to:

• Download and extract the Exiobase v3.3.18 database in MARIO format.
• Parse and aggregate the database using MARIO.
• Add new supply chains and performs other minor manipulations to the database where needed.
• Save the processed database for scenario analysis.
• This step runs in 5-10 minutes on a MacBook Pro M3 Pro 18 GB RAM

Step 2: Build Shock Files

Run 2. Shock building.ipynb to:

• Download and extract all supporting files for shock construction.
• Build scenario-specific shock files for all combinations of background, measure, and year.
• Save the resulting files in Shocks/filled_files/.
• This step runs in around 10 minutes on a MacBook Pro M3 Pro 18 GB RAM

Step 3: Run Model Scenarios

Run 3. Model run.ipynb to:

• Parse the prepared MARIO-formatted database.
• Loop through each scenario, run shock calculations, and export results.
• Aggregate and merge outputs for analysis.
• This step runs in approximately 8 hours on a MacBook Pro M3 Pro 18 GB RAM.

Outputs

All scenario results are saved in:

• Outputs/Results/: Scenario outputs, organized by matrix and scenario.
• Outputs/Results/Merged/: Merged results for each matrix, ready for analysis.

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Citation

If you use this repository, code, or data, please cite: Golinucci, N., Rocco, M. V., Prina, M. G., Beltrami, F., Rinaldi, L., Schau, E. M., & Sparber, W. (2025). The role of sufficiency measures in a decarbonizing Europe. Ecological Economics, 235, 108645. https://doi.org/10.1016/j.ecolecon.2025.108645

Golinucci, N. et al (2025). The role of sufficiency measures in a decarbonizing Europe. Ecological Economics, 235, 108645. https://doi.org/10.1016/j.ecolecon.2025.108645