Summary: | 碩士 === 國立政治大學 === 地政學系 === 105 === In recent years, land value assessments have been needed for different purpose. The current assessing of land transaction taxable base and mortgage demands does not consider the individual factors of lands and structures should affect the value of each other, resulting in the developed land value assessment has generated errors. Therefore, how to decompose housing price reasonably and analyze the developed land value is important for land value assessments.
This study establishes multiple regression model by selecting residential condominium sale data in Taipei City as sample, in order to decompose the housing price into developed land and structure value. The empirical results show that the reversion of housing price is due to the redevelopment value, and land area and level of maintenance have impact on housing price in different age variables. Besides, we also find that it has a positive relationship between developed land value and redevelopment value effect on price, and land extraction method probably has some problems in overestimation of developed land value, resulting in miscounting of land price fluctuation. According to the aforementioned, this study concludes with some issues of decomposition housing price for improving and enhancing the accuracy of land value assessments.
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