Open WesIngwersen opened 7 months ago
A test of the quantity of imports before and after merging in this step could help identify and prevent such data loss
Review those exiobase sectors that don't match at all - those are likely to be in this "other" category
USED data was getting dropped because the sector mapped to USED from exiobase has no exports to the US (in exiobase). this is fixed with https://github.com/USEPA/USEEIO/commit/bf995e5887d0a9d425c783602cc29697c37f2d20
The BEA Concepts and Methods in IO (the IO Manual) has a good section on defining non-comparable imports and the source data. These are mostly services consumed by US residents abroad. Foreign travel is a big one. This needs to be address in the longer term, as they these services do have embodied flows.
https://github.com/USEPA/USEEIO/blob/c4eb1700cdaf1345a584a81dbf94e74f2e3f8681/import_factors_exio/useeio_imports_script.py#L208-L220
There are significant imports of Other goods and some of Used goods (see rows from t_df from 2012 these are in million current USD)
but they get dropped after this merge because they are not in the concordance.
These would account for substantial embodied emissions and need to be handled.