Compute the crop-livestock connectivity index per province

Computes, per province and year, two indicators of local crop-livestock integration described in the decomposition proposal (section 7c) as the "specialization of greatest interest" — regional crop-livestock disconnection:

• Local feed self-sufficiency: the share of feed consumed by livestock in a province that was itself grown in that same province (rather than sourced from anywhere else, whether another Spanish province or abroad — n_prov_destiny does not distinguish inter-provincial trade from international imports, so both count as "not self-sufficient" here).

• Manure-recycling ratio: the share of a province's total cropland and semi-natural N inputs that comes from its own livestock manure, rather than synthetic fertilizer, deposition, fixation, or urban waste.

A well-connected (mixed) province has high values on both; a disconnected (specialized crop-only or livestock-only) province has low values on both, since its livestock has nowhere local to send manure and/or its cropland has no local manure to draw on.

Usage

decompose_crop_livestock_conn(n_prov_destiny = NULL, example = FALSE)

Arguments

n_prov_destiny

Nitrogen flows tibble from create_n_prov_destiny(). If NULL, loaded automatically.

example

If TRUE, return a small hardcoded output without downloading remote data. Default is FALSE.

Value

A named list with tibbles by_province (columns year, province_name, self_sufficiency, recycling_ratio) and national (the unweighted across-province average of both indicators, by year).

Examples

decompose_crop_livestock_conn(example = TRUE)
#> $by_province
#> # A tibble: 3 × 4
#>    year province_name self_sufficiency recycling_ratio
#>   <dbl> <chr>                    <dbl>           <dbl>
#> 1  2000 A_Coruna                 0.483          0.374 
#> 2  2000 Albacete                 0.644          0.0821
#> 3  2000 Alicante                 0.318          0.07  
#> 
#> $national
#> # A tibble: 3 × 3
#>    year self_sufficiency recycling_ratio
#>   <dbl>            <dbl>           <dbl>
#> 1  1900            0.773           0.252
#> 2  1950            0.764           0.382
#> 3  2000            0.465           0.225
#>