Trade shocks hit states unevenly
Cornell research shows trade wars and tariff shocks don’t land uniformly: impacts depend on local industry mix and supplier networks, meaning some plants and regions feel far worse effects than national averages indicate. That argues for plant-by-plant sensitivity analysis rather than relying on headline country-level exposure metrics. (news.cornell.edu)
A tariff looks like a border tax on paper, but the first hit often lands hundreds of miles inland at a feed mill, a meat processor, or a fertilizer buyer. New Cornell-led research says the map of pain follows state supply chains, not a single national average. (news.cornell.edu) The researchers used freight data that tracks where goods are produced, shipped, and consumed, then mapped those flows across state lines and national borders. They published the results in April 2026 in *Choices*, the magazine of the Agricultural and Applied Economics Association. (news.cornell.edu) Their basic finding is simple: the United States food economy works less like one giant pool and more like 50 linked local systems. A state that grows export crops for foreign buyers faces a different tariff risk than a state that mostly buys food processed somewhere else. (news.cornell.edu) Illinois and Iowa sit on the exposed side of that divide because soybeans and corn tie them tightly to export markets. Cornell points to the 2018 United States-China trade war, when soybean retaliation hit those states early, as the pattern this new North America-focused analysis says could repeat. (news.cornell.edu) Parts of the Northeast look safer if you only count direct farm exports, but the paper says that view misses the supply chain. When imported fertilizer or livestock feed gets more expensive, the cost moves from farms to processors and then into grocery prices in places that barely export at all. (news.cornell.edu) That is already a live policy question, not a classroom exercise. Cornell says the Trump administration’s 2025 tariff actions included a broad 10% levy on imports, and Canada answered with tariffs on about $30 billion of American goods, including dairy and poultry. (news.cornell.edu) Other researchers are finding the same state-by-state split in different data. A National Bureau of Economic Research paper from May 2025 estimated that about half of U.S. states lose real income from the 2025 trade war, with some states seeing declines greater than 3% by 2028. (nber.org) The national numbers are large enough on their own. The Budget Lab at Yale estimated on April 2, 2026 that the average effective U.S. tariff rate stood at 11.0%, the highest since 1943 excluding 2025, and that the ultimate price-level effect would cost the average household about $650 to $780 if the temporary Section 122 tariffs expire on schedule. (budgetlab.yale.edu) But even that household figure hides who gets squeezed first. The St. Louis Federal Reserve showed that after the 2025 policy shift, effective tariff rates did not rise evenly across partners: China peaked near 45% by mid-2025, while Mexico rose to about 5% and Canada to about 3% to 4%, which means states tied to different trade routes are living in different tariff worlds. (stlouisfed.org) So the practical takeaway from the Cornell work is not “trade wars are bad” in the abstract. It is that a governor, a farm cooperative, or a food company needs a plant-by-plant map of suppliers and customers, because the next shock will hit the places with the tightest links first, not the places with the loudest national headline. (news.cornell.edu)
