The latest Planetary Boundaries update portrays an alarming global ecological situation in which six of the nine boundaries are transgressed. As a large share of human economic activities is enabled by international trade, this paper aims to analyze he footprints of global trade over the planetary boundaries. Using a multi-regional input-output database, we calculate environmental footprints embodied in trade relations related to the different planetary boundaries for different countries and ecnomic activities (economic sectors) through a modified method of consumption-based accounting. Results indicate that the different global economic regions have heterogenous footprints, occupying different positions along a multidimensional spectrum pressures over the different planetary boundaries. These geographical differences largely reflect the different sectoral economic structure of the countries, as the pressure over planetary boundaries are sector specific.
Repository name | URI |
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Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced in a computer with the following specifications:
• OS: Windows 10 Enterprise, version 21H2
• Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz, 16 Core(s)
• Memory available: 15.7 GB
• Software version: R 4.4.1
This reproducibility package has two main parts:
1. Part 1: Generating Outputs (Run on Server)
The original authors ran the following R scripts on a cloud-based server using RStudio on Onyxia – SSP Cloud Datalab:
Generating Matrices - Original Code.R
Input-Output Analysis - Original Code.R
.rds
datasets, which are stored in the Outputs/
folder. This part was virtually verified by the replicators.0 - Loading data and basic matrices
section of the code to adapt it to your environment.2. Part 2: Creating Figures (Run Locally)
Since some users may face challenges replicating Part 1 due to data access or computational limitations, all outputs produced by Part 1 are included in the package.
To replicate the exhibits using the datasets generated in Part 1:
.Rproj
file and run renv::restore()
Create figures.R
. This will generate all CSV files needed to recreate the paper’s figures. Some data is restricted and has not been included in the reproducibility package. For more details, please refer to the README file.
Author | Affiliation | |
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Etienne Espagne | World Bank | eespagne@worldbank.org |
Gabriel Santos Carneiro | IUSS Pavia | gabriel.santos@iusspavia.it |
Guilherme Magacho | Agence Française de Développement | magachog@afd.fr |
2025-04-08
Location | Code |
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World | WLD |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
Name | URI |
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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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Etienne Espagne | World Bank | eespagne@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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Reproducibility WBG | DIME | World Bank - Development Impact Department | Verification and preparation of metadata |
2025-04-08
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