This
requires, among others, fundamental understanding of how much such hotspots can
vary from product to product, across brands, and country of origin. Here, we
apply a novel fast LCA methodology to first quantify and then analyze PCFs of
3,335 stock keeping units (SKUs) of a global food snack and beverage company.
We find that the often cited dominance of the supply chain's contribution to
the total footprint is valid for large portfolios of products in aggregate
(75%-93% contribution). However, this does not remain universally valid when
analyzing individual brands and SKUs: At SKU level, the metric varies widely,
from 9% (smallest supply chain contribution) to nearly 100%. For 254 of the
3,335 SKUs, less than 50% of overall emissions originate in the supply chain.
SKU-level carbon intensity (PCF divided by net SKU weight) varies widely as
well, in our sample from 0.1 to 70. It also varies within brands, indicating a
design challenge for stream-lined models.SKU-averagecarbon intensityvaries
between ~0.4 (beverages) to ~4 (some baked snacks). The portfolio-level
footprint (3,335 SKUs in our sample) is highly concentrated: 4% of SKUs
contribute 50% of annual GHG; 2.5% of the 6,040 acquired individual raw
materials contribute 40% of annual GHG from all raw materials, the majority of
the 2.5% being agricultural ingredients.
Website: https://www.arjonline.org/agricultural-sciences/american-research-journal-of-agriculture/
Website: https://www.arjonline.org/agricultural-sciences/american-research-journal-of-agriculture/
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