Data and code for: Streamlined Column-Based Disaggregation Method for Carbon Footprint Quantification for Multi-Regional Input-Output (MRIO) Models

These files contain the disaggregation data and code used to break down EXIOBASE v3.9.5 2022 (P X P) for two sectors: the cement, lime, and plaster sector into its subsectors (cement, lime, and plaster), and the aluminium and aluminium products sector into primary aluminium, aluminium bars, rods and profiles, aluminium tubes and pipes, aluminium foil, aluminium plates, sheets and strips, and other aluminium products. It also includes the One-at-a-time (OAT) sensitivity analysis, generated figures, and output results, serving as supplementary information for the associated paper.

Keywords:

EXIOBASE Multiregional Input-Output (MRIO) Carbon Footprint Top-down Approach Cement Lime Plaster Aluminum Aluminium

Subjects:

Civil engineering and built environment

Civil Engineering Materials

Climate and climate change

Climate & Climate Change

Economics

Economics

Cite this dataset as:
Bakindi, A., Norman, J., Houlihan Wiberg, A., Allen, S., 2026. Data and code for: Streamlined Column-Based Disaggregation Method for Carbon Footprint Quantification for Multi-Regional Input-Output (MRIO) Models. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01578.

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Data

Data Used for Disaggregation.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (573kB)
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This document contains the raw data from EXIOBASE v3.9.5 2022 (P × P) and additional data from various sources, used for applying the disaggregation method to the cement, lime, and plaster sector and the aluminum and aluminum products sector.

Results of … Plaster Sector.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (1MB)
Creative Commons: Attribution-Share Alike 4.0

This Excel sheet contains the results of the disaggregated sector of Cement, Lime, and Plaster (GB) from EXIOBASE 2022 v3.9.5.

Results of … Products Sector.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (1MB)
Creative Commons: Attribution-Share Alike 4.0

This Excel sheet contains the results for the disaggregated sector of Aluminum and Aluminum Products (GB) from EXIOBASE 2022 v3.9.5.

OAT Sensitivity … Sector.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (126kB)
Creative Commons: Attribution-Share Alike 4.0

This Excel sheet contains the results of the Sensitivity Analysis (OAT) for the disaggregated sector of Cement, Lime, and Plaster (GB) from EXIOBASE 2022 v3.9.5.

OAT Sensitivity … Sector.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (100kB)
Creative Commons: Attribution-Share Alike 4.0

This Excel sheet contains the results of the Sensitivity Analysis (OAT) for the disaggregated sector of Aluminium and Aluminium Products (GB) from EXIOBASE 2022 v3.9.5.

Code

EXIOBASE v3.9.5 … Plaster.html
text/html (1MB)
Creative Commons: Attribution-Share Alike 4.0

The code file contains data for disaggregating the cement, lime, and plaster sector from EXIOBASE v3.9.5 2022 (P × P) and performing One-at-a-Time (OAT) sensitivity analysis. It includes steps for disaggregating sector data, calculating embodied carbon values, and generating figures that visualize the results of the disaggregation and sensitivity analysis.

EXIOBASE v3.9.5 … Products.html
text/html (2MB)
Creative Commons: Attribution-Share Alike 4.0

The code file contains data for disaggregating the aluminium and aluminium products sector from EXIOBASE v3.9.5 2022 (P × P) and performing One-at-a-Time (OAT) sensitivity analysis. It includes steps for disaggregating sector data, calculating embodied carbon values, and generating figures that visualize the results of the disaggregation and sensitivity analysis.

Creators

Abdulrahman Bakindi
University of Bath

0000-0003-2049-2324

Jonathan Norman
University of Leeds

0000-0002-4139-6828

Aoife Houlihan Wiberg
University of Bath

0000-0001-7975-2229

Stephen Allen
University of Bath

0000-0002-0148-6466

Contributors

University of Bath
Rights Holder

Documentation

Data collection method:

The dataset is created using the EXIOBASE v3.9.5 2022 (P X P) database. Relevant data, such as economic output and emissions is collected from sources like ecoinvent and PRODCOM to disaggregate the cement, lime and plaster, and aluminum and aluminum products sectors into more specific subsectors.

Technical details and requirements:

Python 3.13.5 was used on Windows 11 with Jupyter Notebook.

Additional information:

EXIOBASE 3 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. For more details, visit https://zenodo.org/record/5589597 or email exiobase-support@googlegroups.com for access, support, or license questions. The database is free under the CC-BY-SA license, and different license options are available upon request.