管理科学系学术讲座（6月26日）

The recent elimination of the United States de minimis exemption for import tariffs has been reported to have a significant impact on ultra-fresh fashion companies such as Shein and Temu. This paper develops a game-theoretic model to investigate the impact of such tariffs. Specifically, we consider a model for a global ultra-fresh fashion supply chain with economies of scale under tariff hikes. Our model analysis reveals three main insights. First, the ultra-fresh fashion firm would price in such a way to pass the entire import tariff onto customers in the tariff-imposing market, and tariff hikes in one market would reduce the firm's product launch frequency and total product variety in all markets due to the supply chain scale economy effect. Second, tariff hikes always reduce the firm's profit, with the loss amplified when the firm enjoys greater scale economies in its supply chain. However, a higher demand from outside the tariff-imposing market helps soften the blow from tariff hikes, signifying the importance of the demand-side market diversification (a strategy termed as the “US Plus One” in this paper). Third, we find that the firm would relocate its production for the tariff-imposing market if and only if the tariff rate exceeds a certain threshold, with supply chain scale economies serving as an “efficiency barrier” to counterbalance the supply-side production diversification. In addition, we find numerically that the demand-side market diversification strategy can serve as a potential substitute for the supply-side production diversification strategy. Finally, we analyze the implications of tariff hikes for consumer surplus and the environment and discuss our model insights under market competition and other modeling considerations. Li Chen is the Emerson Professor of Manufacturing Management and professor of operations, technology, and information management in the Samuel Curtis Johnson Graduate School of Management, part of the Cornell SC Johnson College of Business. He currently serves as the Area Chair for Operations, Technology and Information Management at SC Johnson. Chen's research interests include supply chain management, operations strategy, and data-driven analytics. He has published research works in top-tier journals in the operations management field such as Management Science, Operations Research, Manufacturing & Service Operations Management, and Production and Operations Management, where he also serves as a department editor. He is a coauthor of a freely available text analytics R package named STS. Prior to his academic appointments, Chen was a cofounder and lead scientist at TrueDemand Software. He earned his PhD in management science and engineering from Stanford University.