MARIO: A Versatile and User-Friendly Software for Building Input-Output Models

Mohammad Amin Tahavori; Nicolò Golinucci; Lorenzo Rinaldi; Matteo Vincenzo Rocco; Emanuela Colombo

doi:10.5334/jors.473

MARIO: A Versatile and User-Friendly Software for Building Input-Output Models

Journal of Open Research Software

Volume 11 (2023): Issue 1

By: Mohammad Amin Tahavori , Nicolò Golinucci , Lorenzo Rinaldi , Matteo Vincenzo Rocco and Emanuela Colombo

Open Access

|Oct 2023

Abstract

MARIO (Multi-Regional Analysis of Regions through Input-Output) is a Python-based framework for building input-output models. It automates the parsing of well-known databases (e.g. EXIOBASE, EORA, Eurostat) and of customized tables. With respect to similar tools, like pymrio, it broadens the scope of application to supply-use tables and handles both monetary and physical units. Employing an intuitive Excel-based API, it facilitates advanced table manipulations and allows for modelling additional supply chains through a hybrid LCA approach. It provides built-in functions for footprinting and scenario analyses as well as for visualizations of model outcomes. Results are exportable into various formats, possibly supplemented by a metadata file tracking the full history of applied changes. MARIO comes with extensive documentation and is available on Zenodo, GitHub, or installable via PyPI.

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Articles in this issue

DOI: https://doi.org/10.5334/jors.473 | Journal eISSN: 2049-9647

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Language: English

Submitted on: May 27, 2023

Accepted on: Oct 11, 2023

Published on: Oct 27, 2023

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Scenario analysis,

Footprints,

MARIO,

Input-output analysis,

Supply and use,

hybrid-LCA,

Python

© 2023 Mohammad Amin Tahavori, Nicolò Golinucci, Lorenzo Rinaldi, Matteo Vincenzo Rocco, Emanuela Colombo, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 11 (2023): Issue 1