报告题目：Production, Trade, and Cross-Border Data Flows

时间：2023年9月12日（星期二）下午19:20-21:00

地点：沙河校区，二教205

报告人：常清，中央财经大学统计与数学学院2020级博士生

摘要：We build a two-country general equilibrium model to analyze the effects of cross-border data flows and pre-existing development gaps in data economies on each country's production and international trade. Raw data as byproducts of consumption can be transformed into various types of working data (information) to be used by both domestic and foreign producers. Because data constitute a new production factor for intermediate goods, a large extant divide in data utilization can reduce or even freeze trade. Cross-border data flows mitigate the situation and improve welfare when added to international trade. Data-inefficient countries where data are less important in production enjoy a“latecomer's advantage”with international trade and data flows, contributing more raw data from which the data-efficient countries generate knowledge for production. Furthermore, cross-border data flows can reverse the cyclicity of working data usage after productivity shocks, whereas shocks to data privacy or import costs have opposite effects on domestic and foreign data sectors. The insights inform future research and policy discussions concerning data divide, data flows, and their implications for trade liberalization, the data labor market, among others.

报告人简介：常清，中央财经大学统计与数学学院2020级博士生，研究领域为宏观经济学、数字经济。现有多篇文章在各类国际期刊审稿中，参加Asian Meetings of Econometric Society in China、Asian Meetings of Econometric Society in East and South East Asia、中国金融学术年会、2023 Annual Meetings of Northern Financial Association等重要学术会议。本次讲座报告的论文已在美国国家经济研究局（NBER）工作论文系列中发布（编号：31416）。