Dr. Sheng Lu, Professor in the University of Delaware’s Department of Fashion and Apparel Studies, published a new analysis exploring the relationship between U.S. apparel import tariffs, U.S. apparel import prices, and U.S. apparel retail prices. We reprint it in full below:
According to the “America First Trade Policy” released in January 2025, the Trump administration aims to leverage tariffs to achieve various policy objectives, from reducing the U.S. trade deficit to countering “unfair” trading practices.
On February 1, 2025, the Trump Administration further announced the implementation of a 25% punitive tariff on imports from Canada and Mexico, along with an additional 10% punitive tariff on goods from China, in addition to the existing duties. With over 98% of clothing sold in the U.S. imported from abroad, U.S. fashion apparel companies are likely to be among the hardest hit by the tariff increase, particularly since Mexico and China are two of the leading apparel-sourcing destinations for the country.
This study aims to explore the dynamic relationship between U.S. apparel import tariffs, U.S. apparel import prices, and U.S. apparel retail prices. Since tariff rates, import prices, and retail prices are interrelated, a vector autoregression model (VAR) was used to analyze their interactions. The analysis was based on monthly data from January 2015 to November 2024 (latest data available), including:
- U.S. apparel tariff rate (data source: USITC; tariff rate=value of calculated duties/custom values)
- Price index of U.S. apparel imports (data source: St. Lous Federal Reserve; January 2015=100)
- Price index of U.S. apparel retail price (data source: St. Louis Federal Reserve; January 2015=100)
- Index of U.S. apparel retail sales (data source: St. Louis Federal Reserve; January 2015=100)
- Consumer Price Index for all U.S. urban consumers (data source: St. Louis Federal Reserve; January 2015=100)
The results show that:
First, from January 2015 to November 2024, the average U.S. apparel tariff rate ranged from 12% to 17%. The fluctuation of the tariff rate during that period was primarily caused by the U.S. imposition of Section 301 punitive tariffs on imports from China, along with fashion companies shifting their sourcing from China to other countries, including members of U.S. free trade agreements.
Second, the average price of U.S. apparel imports rose by approximately 6% from January 2015 to November 2024, which aligns with the U.S. apparel retail price increase of 4%. However, this increase was significantly lower than the 34% rise in the U.S. Consumer Price Index (CPI) over the same period. This pattern shows that despite overall inflation and higher operational costs, apparel exporters and U.S. retailers remained cautious about increasing prices due to intense market competition.
Third, the impulse response function (IRF) indicates that a positive tariff shock (i.e., a tariff increase) would lead to a rise in the U.S. apparel retail price. However, the magnitude of this effect is moderate, with the impact being most felt two months later. Specifically, a one-standard-deviation increase in tariffs would result in a 0.16 standard deviation increase in retail prices during Period 3. In other words, the price effect of the tariff increase typically appears in about two months. However, U.S. fashion retailers usually do not transfer the entire burden of tariffs to consumers, likely because of fierce competition in the market.
Fourth, the impulse response function (IRF) indicates that a positive tariff shock (i.e., a tariff increase) would lead to a slight decline in U.S. apparel import prices. This price decrease would also persist for about three months. Specifically, a one-standard-deviation increase in tariffs would result in approximately a 0.01 standard deviation decrease in apparel import prices through Period 4. This result aligns with previous studies indicating that following the implementation of Section 301 punitive tariffs in 2018, some Chinese exporters agreed to reduce their selling prices to keep sourcing orders.
Fifth, the impulse response function (IRF) further shows that a positive tariff shock (i.e., a tariff increase) could hurt U.S. apparel retail sales in the short to medium term. Specifically, a one-standard-deviation increase in tariffs would lead to approximately a 0.82-2.33 standard deviation decrease in U.S. apparel retail sales from Period 3 through Period 5. This result may be driven by higher selling prices, suppressing consumer spending on clothing.
Additionally, the variance decomposition analysis reveals that, in the short to medium term, about 50% to 80% of the variation in U.S. retail prices is explained by its own past values, underscoring the persistence of retailers’ pricing practices. Meanwhile, U.S. apparel retail sales account for about 27% of the changes in U.S. apparel retail prices. In comparison, apparel tariff changes explained only about 5% of the retail price fluctuations. In other words, market factors, particularly consumer demand, play a more significant role in shaping fashion companies’ pricing decisions than tariffs.
In summary, the study’s findings confirm the interconnections between apparel tariff rates, U.S. apparel import prices, and U.S. retail prices, although these relationships turn out to be more complex and nuanced than previously suggested. It is important to note that only apparel imports from China were subject to tariff increases during the examined period in this study. If tariffs were to increase on apparel products from a broader range of countries during Trump’s second term, the economic impact on U.S. apparel retail prices could be much more significant and persistent.