Evidence map›Paper›PMID 41055998›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Impact of extreme weather events on the US domestic supply chain of food manufacturing.

Hyungsun Yim, Sandy Dall'erba

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Impact of extreme weather events on the US domestic supply chain of food manufacturing.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Hyungsun YimDepartment of Agricultural and Consumer Economics and the Center for Climate, Regional, Environmental and Trade Economics at the University of Illinois at Urbana-Champaign, Urbana, IL 61801.ORCID 0009-0001-2480-9408
Sandy Dall'erbaDepartment of Agricultural and Consumer Economics and the Center for Climate, Regional, Environmental and Trade Economics at the University of Illinois at Urbana-Champaign, Urbana, IL 61801.ORCID 0000-0002-1920-6100

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the United States, like in other countries, the agrifood supply chain faces challenges from a growing population and less predictable weather conditions. Extreme weather events such as droughts decrease agricultural yield and harvested areas, impact the domestic trade of agricultural products and, in turn, food manufacturing. We investigate this relationship at the state level by estimating the food manufacturing production function in a two-stage instrumental variable estimation process. We first assess how drought affects trade in animals and fish, cereal grains, and all other crop products. Next, we estimate a nested production function for processed food. Our findings indicate that the impact of a drought is far from being confined to the area where it happens. At the national level, we find that a 1% increase in drought in the states producing agricultural commodities reduces their exports to other states by 0.5% to 0.7% which, in turn, reduces food manufacturing production by an average of 0.04%. The capacity to shift the origin of import flows, adjust their volume, and substitute agricultural inputs supports the resilience of the food manufacturing sector. We further estimate the 48 × 48 pairwise dependence across states and by commodity group. While cereal grain production is more spatially concentrated than other crops, the agrifood supply chain can enhance its resilience by sourcing from geographically diverse counties within key supplier states and improving multistate coordination. These findings provide important insights for policymakers and industry stakeholders willing to reduce the food system vulnerability to extreme weather events.

Indexed as

Extreme WeatherFood SupplyAgricultureAnimalsCommerceCrops, AgriculturalDroughtsEdible GrainHumansUnited Statesagricultural tradeagrifood supply chainclimate changeextreme weather

Identifiers

PMID41055998
PMCPMC12541307

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.