• Journal of the Economic Geographical Society of Korea
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• v.20 no.3
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• pp.405-418
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• 2017

SHIFT is public rental housing policy introduced by Seoul Metropolitan in 2007, which works as Chonsei(korean unique deposit rental system). This paper examines the effect of SHIFT on Chonsei prices of neighborhood apartments. To estimate the change in prices of Chonsei after the provision of SHIFT, I collect data on Chonsei prices of apartments within a 5km radius from the SHIFT housings. Summary of main results are following. Chonsei prices of the apartments within a 2-3km radius decreased by 4.4% after the provision of SHIFT housings. In contrast, when it comes to apartments within a 1-2km radius, I can't find the stochastic relationship between the provision of SHIFT hosing and price changes. This results can be explained by "Offset effects" caused by real estate development. Provision of SHIFT can sequentially induce nearby area's development, which plays a factor in the effect of price increases. And this offset effects varies in each apartment complex depending on demand for Chonsei and supply of the SHIFT.

• Journal of the Economic Geographical Society of Korea
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• v.18 no.3
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• pp.348-365
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• 2015

This study empirically analyzes the recent conversion trend of Jeonsei to monthly rental contracts in the APT rental market and its major characteristics for three Gangnam districts using the real transaction Jeonsei and monthly rent prices data over the period of 2010.12 to 2015.4. The results show that in terms of deposits and substitutability the conventional apartment is more efficient than those of the reconstruction apartment. Moreover, monthly rental contracts are closely related with the movement of short-term interest rates. Given the same type of apartment, the result drawn from the substitutability between Jeonsei and monthly rental contracts reveals that the monthly leasing contract with the lower rate of deposit tends to have the higher conversion rate of Jeonsei to monthly rent. Thus, an urgent measure should be taken that the burdens of tenants with monthly rent contracts could be alleviated according to the rate of deposits.

• Journal of Environmental Policy
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• v.12 no.1
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• pp.3-35
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• 2013

Through Influence between the qualitative Environment-friendly Planning Elements (Independent variable) of eighty Apartment House on the four boundary areas in Metropolitan 2th Newtown as representative case of domestic Composition case of Eco-City and the quantitative deal price of Apartment House (dependent variable), it was analyzed empirically with use of the statistical measuring technique. This study has been meaning that it was groped the scheme of quantitative measuring analysis on environmental economics through the developmental extention for he classification system of the qualitative Environment-friendly Planning Elements on urban & architecture. And, As the result of empirical analysis, it was confirmed empirically that the economical induction effect was much more weight and worthy of notice through Environment-friendly Planning Elements in Metropolitan 2th Newtown influenced to the deal price of Apartment House, particularly it was found noticeable meaning that Environment-friendly Planning Elements of applicabled the green new techniqe like New & Renewable Energy were used already and it was influenced much to the deal price of Apartment House.

• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.3
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• pp.67-73
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• 2009

Financial supports of private facilities which were damaged by natural disaster are currently performed partially by a government and the guideline of corresponding recovery costs be the natural disaster prevention law in South Korea. However, current financial recovery guidelines for the damaged private facilities has not been estimated objectively so far. This research presents advanced recovery cost search and assesment methods for the damaged private facilities under natural disaster. To produce more accurate data, an investigation for practical field markets which are appointed in Kangwon area is conducted and the proposed recovery values per each item are compared to exact field market values. Finally. more realistic and accurate recovery cost guideline including evaluation and more effective market surveying method are suggested here. A theoretical and practical program for systematic recovery cost calculation is proposed and expected to be used at public institution before long.

• Journal of the Korean Data and Information Science Society
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• v.27 no.3
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• pp.639-651
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• 2016

"Law on price announcement for real estate" which was revised as of Jan. 19, 2016 (will be enforced as of Sep. 1, 2016) decided the introduction of 'Price announcement system for non-residential property' for the first time. However, its introduction seems to be delayed based on two reasons. Firstly the methodology for introduction of non-property system is not definitized, despite many problems were brought up for current tax base of non-residential property. In addition, changes in tax base will place a burden on the government. In this regard, this study analyzed actual transaction price data throughout one year to analyze equity of taxation for non-residential property and to find major factor which affects on the tax base, in relation with the change of current public announcement system to actual transaction based system. And this is the first study that applied actual transaction price to non-residential property.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.173-183
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• 2017

We investigate the factors affecting the price of apartments using the spatial and temporal data of private real estate prices. The factors affecting the price of apartment were analyzed using geographical and temporal weighted regression (GTWR) model which incorporates the temporal and spatial variation. In contrast to the OLS, a general approach used in previous studies, and GWR method which is most widely used for analyzing spatial data, GTWR considers both temporal and spatial characteristics of the house price, and leads to better description of the house price determination. Year of construction and floor area are selected as the significant factors from the analysis, and the house price are affected by them temporally and geographically.

• Journal of the Korean Regional Science Association
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• v.36 no.1
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• pp.37-50
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• 2020

Estimating investment profits of real estate is critical to understand real estate markets and create relevant policy as real estate market and capital market combines closely. Thus, this study applied the concept of Tobin's Q to estimate investment profits for apartments as well as row-houses and multi-family homes in Seoul from 2010 to 2018. Investment profits were estimated by two approaches: subtracting the replacement cost from the transaction price and calculating ratio of the transaction price to the replacement cost, respectively. The spatio-temporal changes in investment profits were apparent in apartments compared with row-houses and multi-family homes. As a result of analyzing the spatial econometrics models, the investment profit was higher in the area with high density and new developments regardless of the housing types. The framework and key findings would be the effective reference to understand residential investment behavior, create relevant housing policy, introduce value capture of windfall, measure regional competitiveness, and estimate housing bubble.

• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.461-471
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• 2012

The purpose of this paper is to visualize the housing market dynamics with ESDA (Exploratory Spatial Data Analysis) using MATLAB toolbox, in terms of the modeling housing market dynamics in the Busan Metropolitan City. The data are used the real housing price transaction records in Busan from the first quarter of 2006 to the second quarter of 2009. Hedonic house price model, which is not reflecting spatial autocorrelation, has been a powerful tool in understanding housing market dynamics in urban housing economics. This study considers spatial autocorrelation in order to improve the traditional hedonic model which is based on OLS(Ordinary Least Squares) method. The study is, also, investigated the comparison in terms of $R^2$, Sigma Square(${\sigma}^2$), Likelihood(LR) among spatial econometrics models such as SAR(Spatial Autoregressive Models), SEM(Spatial Errors Models), and SAC(General Spatial Models). The major finding of the study is that the SAR, SEM, SAC are far better than the traditional OLS model, considering the various indicators. In addition, the SEM and the SAC are superior to the SAR.

• Korea Real Estate Review
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• v.28 no.1
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• pp.65-77
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• 2018

This paper analyzes the redemption risk of renters by estimating the LTV and CoLTV with finance market big data (individual credit information) and housing market big data (actual housing transaction data). The analysis showed that when using LTV, the redemption risk was higher in the case of the monthly renter than of the chonsei renter. On the other hand, when using CoLTV, the chonsei renter had a higher redemption risk than the monthly renter. This implies that there is a need to activate a guarantee system, such as risk management using the CoLTV index and the chonsei deposit return guarantee because it is possible for renters to experience losses on their chonsei deposits due to the higher redemption risk. Another implication is that the risk manager should consider the individual characteristics of renters because of the different effects of the redemption risk stemming from the characteristics of the rental contract and the personal characteristics of the renters. CoLTV was just a concept until this study calculated it using housing big data and actual housing transaction information. It helps identify the redemption risk through the characteristics of renters and their contracts.

• Land and Housing Review
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• v.15 no.2
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• pp.89-106
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• 2024

Apartments constitute 64% of the housing type composition, representing the highest proportion among housing types. This proportion has been increasing annually. Given this trend, apartment prices are likely to have a significant impact on the national economy and people's livelihoods. This study examines the impact of the recent development of Seodaegu Station on the surrounding apartment market, with a specific focus on the effects of the educational environment. To this end, we conduct empirical analysis employing a hedonic price model and spatial autocorrelation analysis, based on actual transaction price data from the Ministry of Land, Infrastructure, and Transport. The study revealed three key findings: first, the development of Seodaegu Station positively impacted apartment prices. Second, this positive effect increases with the proximity to Seodaegu Station. Third, the enhancement of the educational environment nearby the Seodaegu Station development also positively influenced apartment prices. This study aims to serve as baseline research output for the public management of future metropolitan transportation facility development projects and for predicting apartment price trends.