It includes extention accounts from EXIOBASE v.3.3.15 coverted tab-delimited files:
- Resource extraction per economic activity (RE_ACT)
- Resource extraction per final demand category (RE_FD)
- Waste supply per economic activity (WS_ACT)
- Waste supply per final demand category (WS_FD)
- Stock additions per economic activity (SA_ACT)
- Stock additions per final demand category (SA_FD)
- Waste use per economic activity (WU_ACT)
- Stock depletion per final demand category (SD)
- Emissions per economic activity (EM_ACT)
- Emissions per final demand category (EM_FD)
- Population per country (POP)
- GDP-PPP per capita, per country (GDP_CAP_PPP)
Note: Intermediate demand matrix (HIOT) is not included in this folder. For running cgn_main.py, HIOT should be downloaded from EXIOBASE website (http://www.exiobase.eu/), and following the import procedure in procedure.docx
Phyton script returns the results of:
- Global circularity gap per material category (data_glo)
- Circularity gap per country (data_cou)
- Circularity gap per aggregated region (data_reg)
Phyton script returns Sankey diagram using floweaver software
Note: SankeyWidget performs on Jupyter Notebook
Excel file with results from cgn_main.py
It includes the circularity gap analysis and figures based on results.xlsb source data
It includes from EXIOBASE v.3.3.15:
- List of income groups per counrty based on World Bank Atlas method (https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups)
- Resource extraction classification
- Emission classification
- Waste/stock additions classification
- List of all economic sectors in EXIOBASE
- List of economic activities related to waste recovery in EXIOBASE
Excel file coverts datasets from World Bank Statistics to EXIOBASE classification
Word file contains:
- Procedure to import EXIOBASE v3.3.15, use of 'cgn_main.py', 'cgn_sankey.py', 'results.xls' and 'analysis.xls'
- A comparison between data from EXIOBASE v3.3.15 and other sources of material flow accounts