• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2003.11a
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• pp.221-227
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• 2003

The characteristics of Japanese housing stock is as follows. 1. It is predicted that population from 2010 and general household from 2015 will decrease. The aging speed in Japan is faster than several advanced nations. 2. Housing shortage has resolved from 1973. In 1998, dwelling number per household is 1.13 houses and vacant dwelling rate is 11.5 percents. 3. Dwelling level of rented dwelling is lower than owner occupied houses; for instance, floor area of the former is one third of the latter. As for a household of thirties, family type household lived in rented houses reached 60 percents, it reveals that the demand exceeds the supply. 4. Houses constructed before the new earthquake resistant standard enforced from 1981 year is the half of the whole, housing improvement is needed in the future. Future housing market is changed to practical use of housing stock. Consequently, expansion of multi-habitation used a vacant housing of city dwellers, activation of the used houses distribution, growth of dwelling reform market, and activation of the rented houses are expected.

• Journal of the Korean Geographical Society
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• v.35 no.5
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• pp.717-729
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• 2000

Housing prices in the Korean housing market dropped at an unprecedented magnitude in 1998 after the economic crisis. With the support of housing policies to boost depressed housing markets, house prices managed to bounce back after the mid-1999. During the period of housing price decline and of its recovery, the degrees of house price changes were not even across the country. The cities could be classified into four groups regarding the differential rates of house price changes. The cities which had higher rates of decrease also had higher rates of increase. On the other hand, some other cities continuously experienced a price fall during the recovery period although the rate of housing price changes were relatively low after the economic crisis. Throught the processes of administering housing market depression due to the crisis of the economy, the cities which could fully redeem the level of house prices in housing markets between the Seoul Metropolitan area and the other parts of the country has been widened.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.6
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• pp.143-153
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• 2015

The purpose of this study is to analyze the relation between the housing value and residential satisfaction, housing' investment value, and also the effect the purchase intention. Recently it has been argued that the consumers' investment value can have influence on the housing market, however it is extremely rare to find research market. Through this study, influencing relationship on how the factors of housing value can affect the residential satisfaction and investment value is figured out. Last, in order to analysis the influencing relationship of purchase intention, the questionnaire for residents were conducted. The analysis is done based on 585 significant research materials gathered from the questionnaires. For analysis methodology, this research is using SPSS 21.0, AMOS 18.0, along with analytic techniques, such as implementation of basic statistical analysis, reliability, and structural analysis. Following is the results summary of the research: First, results of a factor analysis extracted four factors of housing value: residential quality factor, economic factor, brand factor, accessibility factor. Second, we find from the residential quality, brand of the housing value were statistically effect of the residential satisfaction and investment value. Finally, residential satisfaction and investment value had a positive influence on purchase intention. The result indicates the housing buyers' positive investment value and residential satisfaction increase the purchase intention in housing market. The better the housing buyers' investment value on the real estate market, the higher the market activity.

• 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.

• Land and Housing Review
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• v.11 no.4
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• pp.1-13
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• 2020

This research explores the generational similarities and discrepancies of socio-demographic and housing statuses between young adult children leaving the parental home and their parents. Utilizing the 20th Korean Labour and Income Panel Study (KLIPS), this study identified a total of 609 households who have left their parent home from 1999 to 2017. Two-thirds of the adult children were married couples while the rest was singles. Children's educational level was higher, and their household size was smaller than their parents. Both generations were mainly headed by employed and married men. The vast majority of the adult children lived in the same area with their parents and lived as tenants in much smaller housing than their parents. On the contrary, most parents were homeowners of a large single-family home. The generational differences were clearly observed in housing tenure, housing structure, and housing size. Although leaving parents' home is part of a transition to adulthoods (depending on the stability of the labor market and the affordability in the housing market), that process was largely triggered by the employment status that can lead to economic independence rather than their marital status. Both housing and job opportunities are important factors to determine independent life.

• Survey Research
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• v.9 no.3
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• pp.1-21
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• 2008

The housing market in Korea had mainly consisted of Maemae(purchasing market) and Chonsei(rental market). Since 1997 foreign exchange crisis, the rental housing market has experienced substantial changes in preferred rental contracts between Chonsei and monthly-rent. Even though monthly-rent has taken a substantial portion of housing rental contracts, not yet reliable monthly-rent index has been developed. Furthermore, it isn't obvious to define monthly-rent because there are many types of monthly rent structures from full-monthly-rent to monthly-rent-with-variable-deposit. This study is the basic research of developing a housing price index of monthly-rent in accordance with the existing price index of Maemae and Chonsei in Korea. This research has been carried out with the following contents: (1) Constructing the actually desirable concept of monthly-rent through examining monthly-rental market in Korea. (2) Selecting the reasonable method to investigate monthly-rental market, especially monthly-rent-with-variable -deposit. (3) Designing monthly-rental market samples and calculating the price index of monthly-rent based on 2005 Census.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.2
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• pp.181-190
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• 2019

The purpose of this study is to help the understanding of the housing market through the influence of consumer choice attributes and financial policy on home buyer behavior. The key issue in the analysis is to take into account moderate effect of housing investment demand between different types of housing attribute choice and financial policy. The results of the study are as follows. First, convenience, education location, and neighborhood level have a significant effect on the purchase intention of the housing. Second, government policy have no significant influence on the purchase intention of the house. Third, the moderating effects of real estate investment outlook are that the neighbors level and interaction variables have a statistically significant effect on the purchase intention of the house. Since the government's financial policies do not affect the decision to buy a house, in reality, excessive regulation may reduce the quality of housing welfare for the first time home buyers. As a result of this study, the financial policy of the government does not affect the decision of the purchase of the house. In reality, the excessive regulation may reduce the quality of the housing welfare for the first time home buyer. Only an analysis which combines these aspects of consumer's choice can adequately describe and explain the actual change in demand in the residential market.

• Land and Housing Review
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• v.3 no.4
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• pp.379-387
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• 2012

This paper analyzes characteristics and changing phenomenon of Chonsei & monthly rental real estate market based on a survey of participants. The frequency analysis, mean analysis, and cross-table analysis was utilized for this study, and a survey for 2,000 rental market participants was accomplished. The survey result of tenants and land-owners regarding the Chonsei market stability indicates the expansion of public housing supply is needed together with lowering of mortgage related restrictions. The major conclusions include that the expansion of public housing and rental supports for low-income families are needed, due to the population structural change and an aging society. In addition, survey result suggests the tenants require the expansion of public housing supply for the residence stability.

• Korean Journal of Construction Engineering and Management
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• v.20 no.2
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• pp.68-78
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• 2019

Recently, housing prices have surged, and the government has implemented various regulations, such as finance and taxes. Because of the policy, the nationwide housing price have stabilized, but polarization has occurred. Some argue that regulation can adversely affect the actual demand. Therefore, not only the correlation between market variables but also ripple effect of policy has to be analyzed in policy planning and analysis from a microscopic point of view. In this study, a simulation model was developed by integrating system dynamics for analyzing market structure and agent-based model for modeling decision process of market participants. This research applied the financial regulation and the tax regulation to the model and evaluated the policy effectiveness. This study reveals which feedback dominates according to the policies, which have same purpose. It is because market participants make different decision for each policy. Furthermore, there were other ripple effects not only in the policy target submarket but also in other submarket.

• 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.