现代产业经济学系列讲座第283期

时间：2025年10月30日（周四）13:30-15:00

地点： 复旦管院史带楼603室

题目： Platform (Biased) Recommendation and Regulation

主讲人：丁宇澄  副教授（武汉大学经济与管理学院）

主持人：古定威  副教授

Abstract: This paper examines the recommendation strategies of platforms that may sell both third-party products and private labels, focusing on their impact on third-party seller innovation and consumer welfare. In a duopoly market, we investigate a platform’s recommendation behavior under a pure marketplace versus a hybrid mode, incorporating the endogenous innovation decisions of third-party sellers. Our findings reveal that a pure marketplace platform consistently recommends the third-party seller with innovation ability under a fixed-fee structure. Conversely, a hybrid platform may favor its private label when the shopper base is moderate, driven by a commitment problem. Contrary to third-party seller critiques, this self-preferencing behavior intensifies price competition and enhances private label quality, ultimately benefiting consumers. Moreover, consumer surplus may increase monotonically or follow an inverted U-shaped pattern with respect to private label quality, suggesting that policies restricting platform data-sharing or imitation may not maximize welfare. These results are robust across various settings, including proportional fee structures and alternative timelines where the commitment issue is absent. These insights offer novel implications for antitrust authorities evaluating the economic effects of platform self-preferencing.

Keywords: Platform Recommendation, Self-preferencing, Data sharing, Innovation

报告人介绍：丁宇澄，武汉大学经济与管理学院副教授，博士毕业于科罗拉多大学波尔德校区。主要研究领域为产业组织理论、应用微观理论、营销理论与运营管理等。研究问题包括消费者搜寻，平台与数字经济，信息披露与产品责任等。文章发表（或录用待刊）于Rand Journal of Economics, Marketing Science, International Journal of Industrial Organization,  Production and Operations Management等国际期刊。主持两项国家自然科学基金项目。曾获中国信息经济学会2024年创新成果奖。