| _version_ | 1866902231764172800 |
|---|---|
| author | Imada, Seiya Kagawa, Shigemi |
| author_facet | Imada, Seiya Kagawa, Shigemi |
| contents | <div> <div> <div> <div> <div> <div> <div> <div> <div> <div dir="ltr"> <div> <div>This dataset provides a disaggregated version of the GLORIA MRIO with a specific focus on the Basic iron sector. It includes multi-regional input–output tables, sectoral disaggregation data, and MATLAB code used for processing and analysis.<br><br>The Basic iron sector is further disaggregated into detailed subsectors using proportional allocation based on auxiliary data. The accompanying MATLAB scripts enable replication of the disaggregation procedure and subsequent analyses.<br><br>This dataset is intended for environmental and economic footprint analyses, particularly for studies requiring higher resolution of iron and steel-related supply chains.<br><br>The dataset is derived from multiple third-party sources, including the GLORIA MRIO database, World Steel Association statistics, and official statistics. These original data are not included in this repository and remain subject to their respective licenses. Users are required to obtain the original data from the respective providers and comply with their licensing terms.</div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19480627 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Disaggregated GLORIA MRIO Dataset and MATLAB Code for Basic Iron Sector Analysis Imada, Seiya Kagawa, Shigemi <div> <div> <div> <div> <div> <div> <div> <div> <div> <div dir="ltr"> <div> <div>This dataset provides a disaggregated version of the GLORIA MRIO with a specific focus on the Basic iron sector. It includes multi-regional input–output tables, sectoral disaggregation data, and MATLAB code used for processing and analysis.<br><br>The Basic iron sector is further disaggregated into detailed subsectors using proportional allocation based on auxiliary data. The accompanying MATLAB scripts enable replication of the disaggregation procedure and subsequent analyses.<br><br>This dataset is intended for environmental and economic footprint analyses, particularly for studies requiring higher resolution of iron and steel-related supply chains.<br><br>The dataset is derived from multiple third-party sources, including the GLORIA MRIO database, World Steel Association statistics, and official statistics. These original data are not included in this repository and remain subject to their respective licenses. Users are required to obtain the original data from the respective providers and comply with their licensing terms.</div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> |
| title | Disaggregated GLORIA MRIO Dataset and MATLAB Code for Basic Iron Sector Analysis |
| url | https://doi.org/10.5281/zenodo.19480627 |