| Summary: | 碩士 === 國立高雄應用科技大學 === 金融系金融資訊碩士在職專班 === 106 === This study uses a regression model to investigate whether the inner condition factors of house, such as road width, structural species, building’s age, total number of floors, zoning, and land per ping transfer, affect the total housing price and the price per ping of townhouse near the Kaohsiung Rapid Transit. The research sample of this paper is townhouse and the source is taken from the real estate transaction price of Department of Land Administration. The data includes the volume of residential district and commercial district of townhouse and the total observation are 371.
The empirical results show that the commercial district and land per ping have a significant positive relationship between total housing price and the price per ping of townhouse near the Kaohsiung Rapid Transit. Second, the explanatory variables which can influence the price per ping are structural species and building’s age. And the other explanatory variables which can influence total housing price is floor. Therefore, through the analysis results of inner condition of townhouse, we look forward to providing some guidelines and references for home buyers.
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