摘要(英) |
Taiwan exhibits significant regional differences in terms of population, industrial structure, medical resources, and government expenditure, which may contribute to variations in housing prices across regions. The purpose of this study is to observe changes in Taiwan′s real estate market, using panel data and a fixed effect model, to analyze the factors influencing housing price differences between northern, central, and southern regions, as well as between metropolitan and non-metropolitan areas from 2012 to 2022. Current literature mostly focuses on individual regions or metropolitan areas as research subjects. This study includes 17 counties and cities in western Taiwan, controlling for individual differences to analyze regional influencing factors. Furthermore, past studies have rarely considered regional medical resources and government expenditure as factors affecting housing prices. This study uses the number of practicing medical personnel per 10,000 population as a representative variable for medical resources and analyzes the effects of local government investment in public infrastructure through community development and environmental protection expenditure.
Empirical results show that while some variables do not have significant effects on Taiwan as a whole, they exhibit different impacts across regions. The number of practicing medical personnel per 10,000 population has a negative impact on housing prices in the northern region, while it is not significant in other regions. Government expenditure on community development and environmental protection negatively affects housing prices in the northern region but has a positive impact in the southern region. The Gini coefficient negatively affects housing prices in metropolitan areas, while it positively affects non-metropolitan areas. Other population-related variables, such as net migration rate, elderly dependency ratio, labor force participation rate, and money supply, have consistent and significant impacts across all regions in Taiwan. |
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