School of Business and Management Department of Economics 199 Global Sourcing, Supply Chain Restructuring, and Firm Competitiveness Supervisor: LI Yao / ECON Student: FUNG Wai Chun / RMBI LAW Alvin Tak Fung / ACCT TANG Yik Wai Terry / ECON Course: UROP 1000, Summer This paper investigates the impact of the trade war between China and the United States on China’s international trade with all trading partners. First, it identifies the export trends and patterns, as well as the top trading partners of China. Secondly, it analyzes the trade diversion effects at the country-level, provincial-level, and product-level. It concludes that China diversifies its exports and imports to countries in Southeast Asia, the Middle East, and Brazil. Guangdong province does not exhibit trade diversion in Donald Trump’s first presidency (Trade War 1.0) but does so in his second presidency (Trade War 2.0). Most major export products exhibit trade diversion in Donald Trump’s first presidency, and all major products exhibit trade diversion in the second presidency. Understanding and De-biasing User Media Consumption Supervisor: LU Yang / ECON Co-Supervisor: David HAGMANN / MGMT Student: LAU Kwun Hin / MAEC MA Chenxuan / MAEC WONG Wun Long / ECOF Course: UROP 2100, Fall UROP 1100, Fall UROP 1100, Fall The UROP topic centers on Understanding and De-biasing User Media Consumption. In this semester, the main achievement of the three tasks is acknowledging the existence of perception biases toward our-group members in different societal issues. The first two tasks focus on calculating and evaluating individuals’ perception gaps toward other groups of individuals with different political affiliations, including republicans, democrats and independents. Based on the survey data, we hypothesize that the culprit of these perception biases is the deep-rooted negative views of the out-group individuals. In task 3, the discussion of perception biases is extended to the ban of gender-affirming care for school-aged youth, analysing articles that support or oppose the ban from societal, medical, religious, psychology and legal aspects. Understanding and De-biasing User Media Consumption Supervisor: LU Yang / ECON Co-Supervisor: David HAGMANN / MGMT Student: LAU Kwun Hin / MAEC MA Chenxuan / MAEC WONG Wun Long / ECOF Course: UROP 3100, Spring UROP 2100, Spring UROP 2100, Spring The UROP topic centers on Understanding and De-biasing User Media Consumption. At the end of last semester, we gathered 15 articles with diverse viewpoints on the gender-affirming care for school kids in the United States. In this semester, our ultimate goal is to leverage the collected data from the experiment to examine the possibility and accuracy of predicting participants’ opinions on the 5 based on their ratings on the other 10 articles quantitatively. In Task 1, we are responsible for turning the bin assignment from manual allocation to automatic allocation by Python. In Task 2, we take the role of observing the result generated by the loop function and refining the code used to calculate the coherence score for removing uninformative data records. In Task 3, we mainly focus on bolstering the efficiency of running all the code blocks by implementing more advanced functions installed in Python.
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