A Study on the Determinant Factors of Residential Housing Prices near the MRT from the Viewpoint of Elementary School with Total Mass Control
碩士 === 國立高雄第一科技大學 === 風險管理與保險研究所 === 104 === Modern public transportation plays an important role on a city’s development, citizens’ demand, and the prices of real estate than before. The aim of this research is to investigate the influence of the elementary schools with total mass control to the...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2016
|
Online Access: | http://ndltd.ncl.edu.tw/handle/82348230765327521497 |
Summary: | 碩士 === 國立高雄第一科技大學 === 風險管理與保險研究所 === 104 === Modern public transportation plays an important role on a city’s development, citizens’ demand, and the prices of real estate than before. The aim of this research is to investigate the influence of the elementary schools with total mass control to the residential housing prices near the MRTs in Kaohsiung City. This article employs the relative determinant factors to analyze the pricing of the estates at those districts. We use the 2014 housing price announced by the Ministry of the Interior at the web of Registering of Actual Selling Price of Real Estate as the sample for this study.In order to investigate whether the distance to the elementary schools and different price levels will have significant influences on the housing prices, we use the hedonic price model and quantile regression to explore our empirical findings.
The results show that the housing price will be significantly affected by the alternative within 1 KM away from elementary schools with total mass control under different areas and different price levels. The influences of all other factors are also significant excluding that of administrative organization. By applying the quantile regression and ordinary least squares (OLS), the evidences show that the explanatory variables under different areas and price levels will have different effect levels on the housing price. These results could provide useful recommendation for the purchaser and investor of real estate market.
|
---|