• 주택과사람들
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• s.11
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• pp.71-83
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• 1991

[ $\bullet$ ] 정부는 지난해에 이어 올해에도 건설부, 국세청, 지방자치단체 등 관계기관 합동으로 전국의 3,255만필지 중 2,518만필지의 개별토지가격을 조사함. 3월 11일부터 5월 10일까지 개별토지가격을 조사$\cdot$산정하고 5월 22일부터 6월 11일까지 국민의 열람에 공하여 주민의견을 수렴한 다음 6월 29일까지 시장$\cdot$군수$\cdot$구청장이 결정할 계획임. 개별토지가격은 2월 28일 공시한 30만 표준지 공시지가를 기준으로 표준지와 개별토지의 특성을 비교하여 가격차를 수치화할 수 있도록 만든 토지가격비준표를 활용하여 산정함. $\bullet$ 조사된 개별토지가격은 토지초과이득세, 양도소득세, 증여세, 상속세의 부과를 위한 기준시가, 종합토지세 부과를 위한 토지등급의 결정, 택지초과소유부담금 및 개발부담금 산정기준, 토지거래허가 또는 신고시의 가격심사기준 등으로 활용됨. $\bullet$ 정부에서 매년 전국의 개별토지가격을 조사함으로써 공평과세를 이루고 90년 도입한 토지관련제도의 실효성을 거양하여 불필요한 토지보유 억제 및 지가안정에 기여하게 될 것임.

• KDI Journal of Economic Policy
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• v.16 no.2
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• pp.21-49
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• 1994

공시지가제도하에서 개별필지 가격산정은 지가함수(地價函數) 추정, 비준표(比準表) 작성, 인근 유사 표준지(標準地)와의 특성차이를 감안한 가격결정 과정을 거치는데, 각 단계의 기술적 문제에 대한 연구는 별로 없었다. 이 글은 지가함수(地價函數) 추정에서 log-log함수형태가 통계학적으로 또는 실제 활용상 적합한가의 문제와 지가함수(地價函數) 추정결과를 그대로 지가예측식(地價豫測式)으로 이용할 수 있는가의 두가지 문제를 다루고 있다. 서울시 서초구와 강남구자료에 대해 Box-Cox 변형(變型)을 이용한 지가함수(地價函數)와 log-log형태의 지가함수(地價函數)를 추정하여 비교해 본 결과 통계학적으로는 전자가 우월하지만, 지가추정(地價推定)에서 양자간의 차이는 크지 않았으며 추정비용(推定費用), 활용(活用)의 용이성 등의 관점에서는 후자가 선호되었다. 또 지가함수(地價函數) 추정결과를 현재와 같이 표준지와 여타 토지간의 가격차이(價格差異)를 계산하는 용도로 한정하는 것이 표준지가격(標準地價格) 자체가 가진 정보를 활용하는 방안으로 바람직하다는 결론을 얻었다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.6
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• pp.507-516
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• 2019

The investigation of land characteristics is an important task for the calculation of officially land prices and standard comparison table of land price. Therefore, it should be done objectively and consistently. However, the current investigation system is mainly done by researcher's subjective judgment. Therefore, the objectivity and consistency of this investigation is not guaranteed and questionable. In this study, we first defined the problem by analyzing the current land topography investigation method. In addition, in order to investigate the land topography, the geometry of the parcel is quantified by spatial information and applied to the decision tree based method(C4.5) to produce the final result. This study intended to extract the parcel characteristics data of the topographic by the use of spatial information and to apply the information to the C4.5, there by suggesting a method for addressing the problems. The findings showed approximately 93.5% between the results of topography classification estimated with rules learned by C4.5.

• Journal of Cadastre & Land InformatiX
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• v.44 no.1
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• pp.79-96
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• 2014

This study presents the two major problems and those improvements of Cadastral Surveying Fee System. The system has been attempted to apply for Individual Public Land Price since 2011. To tackle those problems, this study examines a variety of literatures such as specialty publications, academic thesis, and reports from government. This study applies questionnaire survey method. And the data were collected by the personnel in charge of receiving cadastral surveying application in Gwangju and Jellanamdo branch, LX Korea Cadastral Survey Corp. In order to apply Individual Public Land Price to Cadastral Surveying Fee System, this study suggests subdivision of land at price and application of sample lot and land price standard index table. A number of curriculums provided by training institute in LX Korea Cadastral Survey Corp., education materials and cyber education method are necessary to promote awareness of personnel in charge. Publicity activities are also required to fulfill governmental basis.

• Journal of Cadastre & Land InformatiX
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• v.47 no.1
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• pp.143-160
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• 2017

Since officially assessed land price system was introduced, it has functioned as the criterion for establishing and implementing real estate policies. However, there is a controversial issue about the adequacy of the officially assessed land price system. The problem is that it is difficult to establish a statistical model due to too many land characteristics. Also, local economy, macroeconomic environments and development plans are not reflected in the land price evaluation model. Considering longitudinal and cross-sectional variables, a two-way error component panel model was used in this study. This analysis model includes variables reflecting land characteristics, macroeconomic volatility, and development project. The Paju LCD Industrial Complex was selected as a analysis area and an empirical analysis was performed. According to the analysis, the number of significant land characteristic variables were 14(31%) under 5% significance level. Macroeconomic volatility has had an influence on the land price and year variable reflecting development project has consistently been significant since the industrial complex was designated. Therefore, this study suggests that the land price evaluation model should be improved by simplifying land characteristic variables and including macroeconomic and regional economic variables.

• Journal of the Korean Geographical Society
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• v.48 no.6
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• pp.879-896
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• 2013

The assessed land values and housing prices have been widely utilized as a basic information for the land and house trades and for evaluating governmental and local taxes. However, there exists a price difference in actual markets between the assessment level and assessed land values or housing prices. This paper emphasizes the spatial mismatch between the assessed land values and housing market prices and particularly addresses the following two aspects by focusing on spatial effects of the modifiable areal units, which would substantially affect the estimation of the assessed land values and housing prices. First, we examine the spatial distributions of the assessed land values and housing market prices, and the gap between those prices, on the basis of the aggregated spatial units(i.e., aggregation districts). Second, we explore the scale effect of the MAUP(modifiable areal unit problem) generally embedded in estimating the prices of the sampled standard lands and houses, and calibrating the correction index for the land values and housing prices for the individuals. For the application, we analysed the land values and housing prices in Seoul utilizing GIS and statistical software. As a result, some spatial clusters that the housing market prices are significantly higher than the assessed land values were identified at a finer geographic level. Also, it was empirically revealed that the statistical results from the regression of regional variables on the assessed land values for the individuals are significantly affected by the aggregation levels of the spatial units.