| dc.description.abstract | This study aims to understand the correlation and impact of property prices and the approval of the Taoyuan Metro Green Line policy before and after 2016 on the real estate market. The research covers three districts along the Taoyuan Metro Green Line from 2012 to 2023, including Taoyuan District, Bade District, and Luzhu District. The sample data is sourced from the actual real estate transactions provided by the Ministry of the Interior. Using QGIS to locate the house address and land number in the data according to each property transaction sample, to confirm that the sample data is concentrated in the research scope. In addition, the geographic data information incorporates from the 21 stations along the Taoyuan Metro Green Line and groups the samples by a radius of 500 meters from the station center. Then, through semi-logarithmic regression and characteristic price model to analyze the changing relationship and impact between the approval of metro policy on the Green Line and the transaction price of property.
The results show that the semi-log linear model has a high explanatory ability for property prices, the empirical results of property characteristic variables are generally in line with the expectations of this study. The after-approval Green Line policy in 2016 had a significant positive effect on the overall property prices in three districts (Taoyuan District, Bade District, and Luzhu District)，which increased by 0.9%. However, due to the mutual influence of properties on residential samples, regional development period and degree, location and transfer of major development areas, regional population distribution and activity area, and the location of Metro stations, each region will have different effects on property prices. | en_US |