Collective Reputation in Trade: Evidence from the Chinese Dairy Industry
时间：2018年6月13日（周三） 上午10:00-12:00
地点：浙江大学紫金港校区行政楼1102会议室
主讲人：Dr. Jie Bai,Harvard University
主持人：黄鹂强副教授，火狐手机版登录入口
摘要：
Collective reputational forces are salient in many settings. In the context of trade and development, quality shocks about one firm’s products could affect the demand for related products from the same origin country, implying an important externality. Thus, understanding how reputation spreads within an industry and a geographic area is important for incoming development and trade policy. We study this issue in the context of a large-scale scandal that affected the Chinese diary industry in 2008. We combine firm-product level Chinese Customs data with official quality inspection and news data collected from internet sources. Using a difference-in-difference framework, we find a large aggregate impact of the scandal on the entire dairy industry-exports plummeted by 68% following the scandal, as well as a sizeable spillover effect, about four fifths of the total effect, on non-directly involved firms. Next, we leverage the rich micro data to separately identify the impact of the scandal on different products within involved firms and across firms. Our analysis suggests that contaminated firms saw a drop of 87.8% in export revenue after the scandal while the spillover on non-inspected firms selling a contaminated product is about three quarters of the direct effect.
主讲人简介：
Dr. Jie Bai is an Assistant Professor at Harvard University. She received her Ph.D. in Economics from Massachusetts Institute of Technology in June 2016, and spent one year at Microsoft Research prior to joining the university. Her research focuses on microeconomic issues of firms in developing countries and emerging markets. Her recent projects have examined firms’ incentive and ability to build a reputation for quality, the relationship between firm growth and corruption, and the impact of internal trade barriers among Chinese provinces on firms' export behavior and resource misallocation.
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