中游
上游(联网)
中国
服装
下游(制造业)
纺织工业
织物
自回归模型
业务
价值(数学)
贸易战
上游和下游(DNA)
产业组织
经济
计量经济学
工程类
计算机科学
营销
电信
地理
考古
机器学习
原油
石油工程
作者
Maosheng Ye,Jim Huangnan Shen,Eric Golson,Chien‐Chiang Lee,Yuting Li
摘要
Abstract This study applies the event‐analysis method and takes three Chinese listed textile and apparel companies that are representative of the upstream, midstream, and downstream of the textile value chain as research objects. By tracking the Baidu index trend of the keyword “trade war” to identify the ‘time window’ for each iconic event, we apply the autoregressive distributed lag approach to examine the impact of important landmark events on the performance of these companies during the period of Sino–US trade friction in 2018. We find that the impact diminished over time. Additionally, compared with upstream companies, midstream and downstream companies were hurt more. However, the risks were generally controllable.
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