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:
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We use a separate basic correspondence vector of determining products and the activities that helps us translate the information correctly into RDF
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Another method could be to square the Supply and Use tables before converting them to RDF. This was already done in the Mojo repository . 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.
Would like feedback
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 . 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.
Would like feedback