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

7Citations
Citations of this article
31Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

Tahavori, M. A., Golinucci, N., Rinaldi, L., Rocco, M. V., & Colombo, E. (2023). MARIO: A Versatile and User-Friendly Software for Building Input-Output Models. Journal of Open Research Software, 11. https://doi.org/10.5334/JORS.473

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free