| Summary: | 碩士 === 國立政治大學 === 地政研究所 === 97 === How to estimate the announced current land value objectively and
systematically is always a hot issue in land valuation research field. And, since
the announced current land value is the foundation for levying the land value
increment tax and compensation when land expropriation, the risk of unfairness
might happen if the announced current land value is not objective and
systematical. Under the announced current land value system, most parcel land
values are produced using the district land value. Although decades of valuation
experience by assessors, the district land value would not necessarily reflect
fundamental value effectively. Taking into consideration of the difference
between the degree the zoning affect the land value and the heterogeneity
characteristic of land, this paper construct district land value model on different
zoning. The empirical study region is the residential zoning area in the Sanshia
Township, for its landscape with new and old mixed buildings, featuring
metropolitan development characteristic, and stable sales transaction volume.
The empirical time period is from 2000 to 2009. The district land value
estimated from sales, collected from the Shulin Land Office, is the dependent
variable. The selection of the independent variables is in line with the region
factors of common residential area regulated by “The Regulations on the Land
Value Investigation and Estimation” after combining similar attributes for
easing the bias possibility from co linearity. The empirical result shows the
significant variables are the ratio of constructed road area to total area within the
land value district, parking convenience, development potentiality and the
distance from bus station, junior, elementary schools, market, service facilities,
graveyard, etc. The model fit is good with adj-R2. This paper hopes to increase
the automation degree of the announced current land value and make the
announced current land value objectively and systematically by establishment of
the district land value model.
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