School of Humanities and Social Science Division of Social Science 233 The Socioeconomic Impacts of Environmental Issues in Hong Kong Supervisor: LIU Tong / SOSC Student: LEUNG Ho Long / MAEC Course: UROP2100, Spring Following the previous UROP 1000 and 1100, the data cleaning is completed at the current stage. It consists of explanatory variables of housing prices, bus stops and air pollutants. Hedonic pricing and fixed effects with clustered standard errors are used to examine the relationship between these three. The presence of mixed results implies that we need further investigation before proceeding to the conclusion. Therefore, in the future, we would also take the number of floors into account to analyse the pollution effect on housing price. Aggregating the data at the monthly level is also needed to cope with the adjustment time in response to the changes in bus stops. The Socioeconomic Impacts of Environmental Issues in Hong Kong Supervisor: LIU Tong / SOSC Student: LEUNG Ho Long / MAEC Course: UROP3100, Summer Following the previous UROP, the data cleaning is completed at the current stage. It consists of explanatory variables of housing prices, bus stops and air pollutants. Estate and year-by-month fixed effects with clustered standard errors are used to examine the relationship between these three. Results show that the effect of bus stop to housing price is insignificant. Interestingly, the results change if a smaller sample is used. Belt and Road Initiative Supervisor: PARK Albert Francis / SOSC Co-supervisor: TRITTO Angela / IEMS Student: XU Anqi / MAEC Course: UROP1100, Summer Since its launch in 2013, China’s Belt and Road Initiative (BRI) has enabled the Chinese government to actively invest in nearly 170 countries globally with a focus on large-scale infrastructure construction projects and energy goods. This progress report presents how the Belt and Road Initiative affects China’s different types of trade and OFDI patterns at aggregate and sector level. We found that at aggregate level, countries receiving higher amount of OFDI from China also have high level of trade flow with China. Also, being a initially targeted BRI country will increase the possibility of receiving higher OFDI given the same amount of trade value with China. For energy sector, there also exists positive association between trade flow value and China’s OFDI, and being a BRI country will increase its OFDI given the same amount of China’s import to that country.
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