Reports quantities of commodity balance sheet items used for processing
and quantities of their corresponding processed output items.
Arguments
- version
File version to use as input. See whep_inputs for details.
Value
A tibble with the quantities for each processed product. It contains the following columns:
year: The year in which the recorded event occurred.area_code: The code of the country where the data is from. For code details see e.g.add_area_name().item_cbs_code_to_process: FAOSTAT internal code for each one of the items that are being processed and will give other subproduct items. For code details see e.g.add_item_cbs_name().value_to_process: tonnes of this item that are being processed. It matches the amount found in theprocessingcolumn from the data obtained byget_wide_cbs().item_cbs_code_processed: FAOSTAT internal code for each one of the subproduct items that are obtained when processing. For code details see e.g.add_item_cbs_name().initial_conversion_factor: estimate for the number of tonnes ofitem_cbs_code_processedobtained for each tonne ofitem_cbs_code_to_process. It will be used to compute thefinal_conversion_factor, which leaves everything balanced. TODO: explain how it's computed.initial_value_processed: first estimate for the number of tonnes ofitem_cbs_code_processedobtained fromitem_cbs_code_to_process. It is computed asvalue_to_process * initial_conversion_factor.conversion_factor_scaling: computed scaling needed to adaptinitial_conversion_factorso as to get a final balanced total of subproduct quantities. TODO: explain how it's computed.final_conversion_factor: final used estimate for the number of tonnes ofitem_cbs_code_processedobtained for each tonne ofitem_cbs_code_to_process. It is computed asinitial_conversion_factor * conversion_factor_scaling.final_value_processed: final estimate for the number of tonnes ofitem_cbs_code_processedobtained fromitem_cbs_code_to_process. It is computed asinitial_value_processed * final_conversion_factor.
For the final data obtained, the quantities final_value_processed are
balanced in the following sense: the total sum of final_value_processed
for each unique tuple of (year, area_code, item_cbs_code_processed)
should be exactly the quantity reported for that year, country and
item_cbs_code_processed item in the production column obtained from
get_wide_cbs(). This is because they are not primary products, so the
amount from 'production' is actually the amount of subproduct obtained.
TODO: Fix few data where this doesn't hold.
Examples
# Note: These are smaller samples to show outputs, not the real data.
# For all data, call the function with default version (i.e. no arguments).
get_processing_coefs(version = "example")
#> ℹ Fetching files for processing_coefs...
#> # A tibble: 5,000 × 10
#> year area_code item_cbs_code_to_process value_to_process
#> <dbl> <dbl> <dbl> <dbl>
#> 1 2012 38 2561 1097.
#> 2 2009 28 2537 372812.
#> 3 1992 110 2537 3581000
#> 4 1965 51 2555 25085
#> 5 2008 52 2537 94467.
#> 6 2000 166 2544 25108
#> 7 1962 156 2513 39031.
#> 8 2010 28 2537 374089.
#> 9 1966 121 2557 23.8
#> 10 2015 231 2559 1142825.
#> # ℹ 4,990 more rows
#> # ℹ 6 more variables: item_cbs_code_processed <dbl>,
#> # initial_conversion_factor <dbl>, initial_value_processed <dbl>,
#> # conversion_factor_scaling <dbl>, final_conversion_factor <dbl>,
#> # final_value_processed <dbl>