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

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 o...

Full description

Saved in:
Bibliographic Details
Published in:Journal of open research software 2023-10, Vol.11 (1), p.14-14
Main Authors: Tahavori, Mohammad Amin, Golinucci, Nicolò, Rinaldi, Lorenzo, Rocco, Matteo Vincenzo, Colombo, Emanuela
Format: Article
Language:English
Subjects:
footprints
hybrid-lca
input-output analysis
Logistics
mario
python
scenario analysis
Spreadsheets
supply and use
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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. Keywords: Scenario analysis, Footprints, MARIO, Input-output analysis, Supply and use, hybrid-LCA, Python
ISSN:2049-9647
2049-9647
DOI:10.5334/jors.473