The U.S.–China trade war and Abnormal Fluctuations in Cross-Border Supply Chains
This paper utilizes a novel abnormal fluctuation index to demonstrate that the U.S.–China trade war significantly disrupted cross-border supplier–customer relationships by increasing transaction costs and uncertainty, with firms' adjustment strategies varying based on their innovation capabilities, product substitutability, and geographic diversification.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
For decades, the global economy operated like a vast, interconnected web where goods flowed freely across borders, driven by the logic that trade makes everyone richer. In this system, companies built long-term relationships with suppliers and customers in different countries, trusting that these connections would remain stable. However, when the United States and China began imposing steep new taxes on each other's goods in 2018, that stability was tested. These taxes, known as tariffs, act like a sudden toll on a highway, making it more expensive to move products between the two nations. While economists have long known that such taxes reduce the volume of trade, a deeper question remained: how do the invisible threads connecting specific companies actually react? Do businesses simply accept the higher costs and keep working with their old partners, or do they frantically cut ties and hunt for new ones elsewhere? Understanding this reaction is crucial because the health of the global economy depends not just on how much is traded, but on how easily companies can adapt when the rules of the game change.
A team of researchers set out to answer this by looking at the actual behavior of thousands of Chinese companies during the height of the trade conflict. Instead of just counting total exports, they examined the specific relationships between individual suppliers and their foreign customers. They faced a tricky problem: companies naturally change their partners all the time as part of normal business. A factory might switch suppliers because a project ended, or a retailer might find a new vendor because a product line changed. To see the true impact of the trade war, the researchers had to distinguish between these routine changes and the chaotic, forced reorganizations caused by the new taxes. They developed a method to measure what they call "abnormal fluctuation," which essentially tracks when a company changes its partners much more frequently than it usually does. By using a massive database that tracks millions of business relationships, they could see exactly when a company started or stopped working with a specific customer and compare that activity to the company's own historical habits.
The results revealed a clear and significant shift. The trade war did not just slow down trade; it forced companies to reorganize their networks in ways that were far more drastic than normal business cycles. The data showed that Chinese firms exposed to the new tariffs began breaking up with their American customers and seeking new partners at a rate that was statistically abnormal for them. This was not a slow, gradual drift but a sharp increase in the frequency of relationship changes. The researchers found that two main forces drove this behavior. First, the taxes made doing business with existing partners too expensive, raising the cost of every transaction. Second, the uncertainty of the situation made companies nervous about the future. When businesses cannot predict whether taxes will go up or down next year, they become hesitant to make long-term commitments. This combination of higher costs and fear of the unknown pushed companies to abandon stable, long-standing relationships in favor of searching for new, potentially safer markets.
However, not all companies reacted in the same way. The study uncovered that a firm's ability to hold onto its customers depended heavily on how unique its products were. Companies that made highly specialized, innovative goods that were difficult to replace found that their customers had no choice but to keep buying from them, even with the higher prices. These firms were able to maintain their existing relationships and avoid the chaotic churn seen elsewhere. In contrast, companies that made standard, easily replaceable products lost their customers quickly, as buyers simply switched to cheaper alternatives from other countries. Furthermore, the study found that companies with customers spread across many different countries were better at adapting. Because they already had a wide network of contacts, they could more easily shift their focus to new markets when the US market became too difficult. Companies that relied heavily on a single country, however, found themselves trapped, unable to easily find new partners to replace the ones they lost.
The researchers also looked at the financial side of this disruption to understand the mechanics behind the changes. They found that the trade war caused a measurable spike in the costs companies spent on finding new partners and negotiating deals. When the taxes went up, the effort and money required to keep a relationship alive became too high for many, leading to a breakdown in cooperation. Simultaneously, the uncertainty caused by the trade war made companies more cautious, leading them to diversify their customer base as a safety measure. The study ruled out the idea that these changes were merely a result of the global pandemic that followed, as the patterns of disruption were already well established before the health crisis began. The findings suggest that when trade policies become unpredictable and expensive, they do more than just reduce the amount of goods moving across borders; they fundamentally alter the structure of global business networks, forcing companies to constantly rebuild their connections in a search for stability.
Drowning in papers in your field?
Get daily digests of the most novel papers matching your research keywords — with technical summaries, in your language.