BONSAMURAIS / BONSAMURAIS/EXIOBASE-conversion-software
Identifying the determining product (from non square SUTs)
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- Python
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Description
We were facing a challenge in detecting the determining product flow as theoretically these could be picked up from diagnol of the Supply tables. However, given that Exiobase is non- square i.e. 200 pdts x 164 activities, it is not that trivial to identify the determining flow directly.
Hence we have the following solution:
- We use a separate basic correspondence vector of determining products and the activities that helps us translate the information correctly into RDF
- Another method could be to square the Supply and Use tables before converting them to RDF. This was already done in the [Mojo repository ](https://github.com/BONSAMURAIS/mojo). Here the product flows are aggregated and the exclusive by-products are placed in a global market. This is useful to build the computational structure (A/Z matrix) but aggregating product flows also leads to loss of information.
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