The Impact of Taiwan MRT System on Housing Prices

碩士 === 國立高雄大學 === 國際企業管理碩士學位學程 === 106 === MRT system has become one of the most important transportation in Taipei and Kaohsiung. Many studies have showed that when the distance to public transportation increases, the housing prices decline. While most earlier studies only focus on the housing pric...

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Main Authors: SHIH, JUI-FAN, 石睿凡
Other Authors: KENG, SHAO-HSUN
Format: Others
Language:en_US
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/x2tc5c
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spelling ndltd-TW-106NUK013200022019-05-16T00:08:19Z http://ndltd.ncl.edu.tw/handle/x2tc5c The Impact of Taiwan MRT System on Housing Prices 台灣捷運系統對房價的影響 SHIH, JUI-FAN 石睿凡 碩士 國立高雄大學 國際企業管理碩士學位學程 106 MRT system has become one of the most important transportation in Taipei and Kaohsiung. Many studies have showed that when the distance to public transportation increases, the housing prices decline. While most earlier studies only focus on the housing prices in one city or one transportation line and estimate the whole MRT lines in Taipei and Kaohsiung as well as comparing the difference of these two cities by using linear regression analysis. The results indicate that when the distance to MRT station increases by 1 km, the housing prices decrease by $NT290,650 per ping. When the distance to MRT station is within 3 km, the housing prices decrease by $NT230,870 if the distance to MRT station increases by 1 km. Meanwhile, the relationship to housing prices and distance is a U shape. The results also show that the distance to the MRT system in Taipei has greater impact on housing prices than Kaohsiung. KENG, SHAO-HSUN 耿紹勛 2018 學位論文 ; thesis 30 en_US
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language en_US
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description 碩士 === 國立高雄大學 === 國際企業管理碩士學位學程 === 106 === MRT system has become one of the most important transportation in Taipei and Kaohsiung. Many studies have showed that when the distance to public transportation increases, the housing prices decline. While most earlier studies only focus on the housing prices in one city or one transportation line and estimate the whole MRT lines in Taipei and Kaohsiung as well as comparing the difference of these two cities by using linear regression analysis. The results indicate that when the distance to MRT station increases by 1 km, the housing prices decrease by $NT290,650 per ping. When the distance to MRT station is within 3 km, the housing prices decrease by $NT230,870 if the distance to MRT station increases by 1 km. Meanwhile, the relationship to housing prices and distance is a U shape. The results also show that the distance to the MRT system in Taipei has greater impact on housing prices than Kaohsiung.
author2 KENG, SHAO-HSUN
author_facet KENG, SHAO-HSUN
SHIH, JUI-FAN
石睿凡
author SHIH, JUI-FAN
石睿凡
spellingShingle SHIH, JUI-FAN
石睿凡
The Impact of Taiwan MRT System on Housing Prices
author_sort SHIH, JUI-FAN
title The Impact of Taiwan MRT System on Housing Prices
title_short The Impact of Taiwan MRT System on Housing Prices
title_full The Impact of Taiwan MRT System on Housing Prices
title_fullStr The Impact of Taiwan MRT System on Housing Prices
title_full_unstemmed The Impact of Taiwan MRT System on Housing Prices
title_sort impact of taiwan mrt system on housing prices
publishDate 2018
url http://ndltd.ncl.edu.tw/handle/x2tc5c
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