School of Business and Management Department of Economics 193 Firms in Globalization: Evidence from China Supervisor: LI Yao / ECON Student: YAU Chin Fung / MAEC Course: UROP2100, Spring I work on the 2018-2019 US-China trade war and the related tech war. In this project, I completed three tasks. The first task is to identify the Harmonized System (HS) codes that are related to tech war and 5G. The second task is to find out the percentage of products which are subjected to an increase in tariff rate. This report will show my code or algorithm and my findings of top targeted products. I will show what HS chapters have a higher percentage. The third task is to convert the list of products which China increased tariff on US-imported products (due to retaliation) to Stata files. Firms in Globalization: Evidence from China Supervisor: LI Yao / ECON Student: BIAN Ce / MAEC OU Shiying / ECOF Course: UROP3100, Spring UROP2100, Spring This paper continued the research investigating the change in trade patterns of China and BRI member countries under Belt and Road Initiative (BRI). We polished our gravity model analysis of the bilateral trade with all-country sample, and added a difference-in-differences analysis to test the robustness of our findings. We also improved our analysis on the bilateral trade flow between China and other trading partners by decomposing the total import and export into intensive margin and extensive margin respectively, due to the fact that aggregate level trade flow may hide some detailed changes in trading costs under product level. The results are consistent and expected as our previous findings, showing that BRI has promoted bilateral trade among BRI member countries and China to some extent. Firms in Globalization: Evidence from China Supervisor: LI Yao / ECON Student: WANG Shuoran / MAEC Course: UROP4100, Spring With Taiwan-invested firm dataset (TIF dataset, hereafter) and Chinese custom transaction data (Custom dataset, hereafter), we previously discovered the negative effect of home sourcing dependence and the mitigating effect of processing trade on a multinational firm’s export performance. To test the relationship more accurately, we added new Taiwan-invested firms in our data sample and kept new information about supplier base. We also included information about firm size and financial position from Chinese Industrial Enterprise dataset (CIE data, hereafter). After adding new explanatory and control variables in our regression models, we discovered that a larger supplier base will improve a multinational firm’s export performance, while the effects of home sourcing dependence and processing trade were not robust. Keywords: China, Taiwan, trade pattern, regression analysis
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