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OpenIO-Canada v2.9

Python class creating Multi-Regional symmetric Environmentally Extended Input-Output (MREEIO) tables for Canada. OpenIO-Canada operates at the provincial level (13 provinces). It can thus be used to compare the environmental impacts of value chains or consumption by households from any specific province.

OpenIO-Canada covers 492 commodities, 33 GHGs, 310 pollutants in 3 compartments (air, water and soil), 67 mineral resources, water consumption, energy use and plastic waste pollution.

OpenIO-Canada is connected to the Exiobase global MRIO database to model value chains happening outside Canada.

Getting started

Clone the repository (or download it) and install the different libraries required to run this Python class (requirements.txt).<br> Note that we recommend working with version 3.9 of Python as we can ensure it works for that specific version.<br> Go to the doc folder and take a look at the demo.ipynb file to see how to generate the IO tables.

Data used

• economic data: https://www150.statcan.gc.ca/n1/en/catalogue/15-602-X
• international merchandise trade data: https://open.canada.ca/data/en/dataset/b1126a07-fd85-4d56-8395-143aba1747a4
• main ghg emissions (CO2, CH4 and N2O): https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3810009701
• SF6, HFCs and PFCs: https://doi.org/10.5281/zenodo.7432088
• water use: https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3810025001
• energy use: https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3810009601
• other pollutants: https://open.canada.ca/data/en/dataset/1fb7d8d4-7713-4ec6-b957-4a882a84fed3
• mineral extractions: https://www.usgs.gov/centers/national-minerals-information-center/latin-america-and-canada-north-america-central-america#ca
• plastic waste data within Canada: https://doi.org/10.25318/3810015001-eng
• plastic waste data worldwide: https://stats.oecd.org/Index.aspx?DataSetCode=PLASTIC_WASTE_5
• exiobase3: https://doi.org/10.5281/zenodo.5589597
• exiobase3 capital endogenization: https://doi.org/10.5281/zenodo.7073276
• IMPACT World+ impact assessment methodology: https://doi.org/10.5281/zenodo.5669648