• Title/Summary/Keyword: High price house

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A Study on Planning Factors of Apartment House in Newspaper Advertising - Since autonomy of lotting-out price of house - (신문광고에 나타난 아파트 계획요소에 관한 연구 - 주택의 분양가 자율화 이후를 중심으로 -)

  • Park, Joo-Yeon;Park, Hyeon-Gyeong;Cho, Yong-Joon
    • Proceeding of Spring/Autumn Annual Conference of KHA
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    • 2005.11a
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    • pp.115-119
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    • 2005
  • This study is to examine changes since autonomy of lotting-out price of apartment house and planning factors related to sale of apartment house through leaflet of sale of apartment house. Objects of the study were leaflets of sale of apartment houses through the Donga Il Bo daily newspaper from 2001 to 2003. The results of research can be summarized to three. First, traffic of locational factors in advertisement of sale of apartment house showed the highest frequency and it was found that it was an important planning factor of apartment house. Second, considering that advanced facilities and the highest finishing materials were used, quality of apartment house has been advanced. Third, considering that community space, theme park and green zone showed high occupancy in external space, there has been high increase in external space as well as in internal one since autonomy of lotting-out price.

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A Study of about the Influence of House Price on Housing Financial Environment -The Case of Seoul Metropolitan Area- (주택 금융환경이 주택가격에 미치는 영향에 관한 연구 -수도권을 중심으로-)

  • Kim, Young-Sun
    • Management & Information Systems Review
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    • v.25
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    • pp.321-337
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    • 2008
  • The house price rise suddenly is not only Economic stability but economic, mental state of a heavy burden to people. This paper is a house finance environment analyzed in this research about the rise factor of the house price and the result to present the plan to the natural disposition. The financial institute has an influence on the disguised demand extension of the house and The mortgage Lending in commercial Banks with the earnings as the stability high than the industry loaning. A house finance environment changes and will go from economic factor of the variety of the life style, the housing conditional according to the income level, a children education condition, and the population structure many this little. The disposition of the house need changes according to this and will have an influence on the house price. Necessary for a house market environment house policy of the market need which the consistency reflects so that we are suitable and is desired.

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Modeling Spatial Patterns of an Overheated Speculation Area (투기과열지역의 공간패턴 모형화)

  • Sohn, Hak-Gi
    • Journal of the Korean Geographical Society
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    • v.43 no.1
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    • pp.104-116
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    • 2008
  • Overheated speculation areas which have high potential of becoming speculative are the target of many real estate policies. This paper proposes a model for spatial patterns of house price volatility and suggests a spatial pattern of overheated speculation areas. House prices are determined by economic behaviors of sellers and buyers who have rational or adaptive expectations. Spatial patterns of house price volatility are formed by tendencies of their economic behavior. If there is a majority of adaptive sellers and buyers in an area, it may appear as a "hotspot" by showing high volatility of house prices and simultaneous price increases. Overheated speculation areas are formed by adaptive sellers and buyers who want to realize maximum expectation profit, therefore these areas patterns are defined as hotspot patterns of price volatility.

Improvement of Calculating Method of the Officially Assessed Individual House Price of Aged Apartment Remodeling Reflecting Feasibility Analysis (사업성분석을 반영한 공동주택 맞춤형 리모델링의 공시가격 산정방법 개선)

  • Bae, Byungyun;Kim, Kyungrai;Shin, Dongwoo;Cha, Heesung
    • Korean Journal of Construction Engineering and Management
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    • v.18 no.6
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    • pp.89-97
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    • 2017
  • The number of Aged Apartment units is expected to increase as time went on. Living standards are getting better and they want a new apartment space as the economy progresses. Therefore, it is necessary to prepare for the increasing remodeling market through the feasibility evaluation method that can be applied to the remodeling project of the apartment house. The purpose of this study is to analyze the social pricing factors affecting the Officially assessed individual House Price for the analysis model of commercial house remodeling. The collected samples were analyzed using multiple regression analysis of 350 prices included in 127 lots. Middle school level, high school level, total number of households, and floor area ratio were extracted. As a result of comparing the Officially assessed individual House Price by applying to the remodeling case, the difference between the existing Officially assessed individual House Price and the improvement Officially assessed individual House Price is different. The accessibility with the subway station is included in the land price, and there is no change in the number of stories and directions because it is customized remodeling. There was a difference in the disclosure price depending on the type of factor extraction by the evaluator in a batch application of the disclosure price factors. The research can be used as a model for future remodeling business feasibility analysis.

Expectation-Based Model Explaining Boom and Bust Cycles in Housing Markets (주택유통시장에서 가격거품은 왜 발생하는가?: 소비자의 기대에 기초한 가격 변동주기 모형)

  • Won, Jee-Sung
    • Journal of Distribution Science
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    • v.13 no.8
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    • pp.61-71
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    • 2015
  • Purpose - Before the year 2000, the housing prices in Korea were increasing every decade. After 2000, for the first time, Korea experienced a decrease in housing prices, and the repetitive cycle of price fluctuation started. Such a "boom and bust cycle" is a worldwide phenomenon. The current study proposes a mathematical model to explain price fluctuation cycles based on the theory of consumer psychology. Specifically, the model incorporates the effects of buyer expectations of future prices on actual price changes. Based on the model, this study investigates various independent variables affecting the amplitude of price fluctuations in housing markets. Research design, data, and methodology - The study provides theoretical analyses based on a mathematical model. The proposed model uses the following assumptions of the pricing mechanism in housing markets. First, the price of a house at a certain time is affected not only by its current price but also by its expected future price. Second, house investors or buyers cannot predict the exact future price but make a subjective prediction based on observed price changes up to the present. Third, the price is determined by demand changes made in previous time periods. The current study tries to explain the boom-bust cycle in housing markets with a mathematical model and several numerical examples. The model illustrates the effects of consumer price elasticity, consumer sensitivity to price changes, and the sensitivity of prices to demand changes on price fluctuation. Results - The analytical results imply that even without external effects, the boom-bust cycle can occur endogenously due to buyer psychological factors. The model supports the expectation of future price direction as the most important variable causing price fluctuation in housing market. Consumer tendency for making choices based on both the current and expected future price causes repetitive boom-bust cycles in housing markets. Such consumers who respond more sensitively to price changes are shown to make the market more volatile. Consumer price elasticity is shown to be irrelevant to price fluctuations. Conclusions - The mechanism of price fluctuation in the proposed model can be summarized as follows. If a certain external shock causes an initial price increase, consumers perceive it as an ongoing increasing price trend. If the demand increases due to the higher expected price, the price goes up further. However, too high a price cannot be sustained for long, thus the increasing price trend ceases at some point. Once the market loses the momentum of a price increase, the price starts to drop. A price decrease signals a further decrease in a future price, thus the demand decreases further. When the price is perceived as low enough, the direction of the price change is reversed again. Policy makers should be cognizant that the current increase in housing prices due to increased liquidity can pose a serious threat of a sudden price decrease in housing markets.

House Rent Control System and Its Implementation in France (프랑스 주택 임대료 규제 및 관련 제도 연구)

  • Lee, Seong-Keun;Choi, Min-Ah
    • Land and Housing Review
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    • v.9 no.4
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    • pp.1-9
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    • 2018
  • Since year 2000, French housing and rent prices rose at a rapid rate and the housing market has been overheated. Face to this phenomena, the French government enacted a new law Alur which is a legislatif tool to control the private housing rent price for the cities, where the tension of the housing market is very high. This new law has impacted the housing market in two major ways. First, for the 38 cities designated by this law, the rent price's increase rate can not rise above the IRL, which is the rent reference index. Secondly, this law also permits local authorities to control the housing rent's price following the concrete price guidance. Especially in Paris, the city applicated this method for private rental housing since 2015. This city classified its own area by 14 zones. Based on the market surveys of each sector, local authority made a guidance for private housing rent's price. The guideline is consisted of average prices, maxima and minima price by types, which is classified by the construction year, number of rooms and furnished or not. Therefore, this study aims to understand french housing rent's price control system and draw implementation for korean housing rent policies. This research is meaningful for it introduces recent foreign regislations which could be helpful to control the housing market in Korea.

A Spatial Statistical Method for Exploring Hotspots of House Price Volatility (부동산 가격변동 한스팟 탐색을 위한 공간통계기법)

  • Sohn, Hak-Gi;Park, Key-Ho
    • Journal of the Korean Geographical Society
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    • v.43 no.3
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    • pp.392-411
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    • 2008
  • The purpose of this paper is to develop a method for exploring hotspot patterns of house price volatility where there is a high fluctuation in price and homogeneity of direction of price volatility. These patterns are formed when the majority of householders in an area show an adaptive tendency in their decision making. This paper suggests a method that consists of two analytical parts. The first part uses spatial scan statistics to detect spatial clusters of houses with a positive range of price volatility. The second part utilizes local Moran's I to evaluate the homogeneity of direction of price volatility within each cluster. The method is applied to the areas of Gangnam-Gu, Seocho-Gu, and Songpa-Gu in Seoul from August to November of 2003; the Participatory Government of Korea designated these areas and this period as the most speculative. The results of the analysis show that the area around Gaepo-Dong was as a hotspot before the Government's anti-speculative 10.29 policy in 2003; the house prices in the same area stabilized in October, 2003 and the area was identified as a coldspot in December, 2003. This case study shows that the suggested method enables exploration of hotspot of house price volatility at micro spatial scales which had not been detected by visual analysis.

The Catalogue and Online-Order Apparel Shoppers Impulsive Purchase Orientation and Impulsive Purchase Stimuli (의류 통신판매 이용자의 충동구매 성향과 충동구매 자극)

  • 김용숙;박금옥;이옥희
    • Journal of the Korean Society of Costume
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    • v.51 no.7
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    • pp.49-62
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    • 2001
  • The purposes of this study were to find out the catalogue and online-order apparel shoppers' impulsive purchase orientation and impulsive purchase stimuli. Self-administered questionnaires were distributed to women over than 20 years, and collected from middle to the end of November in 2000. Frequencies, percentages, and mean were calculated. One-way ANOVA, chi-square test, factor analysis, and cluster analysis were used, and Duncan's Multiple Range test was followed. 1. Factors of impulsive purchase orientation were relax from negative moods, design property, inducement from neighbors, taste congruence, price property of apparel, positive moods, and loose-control, and were segmented into the low impulsive purchaser, the reasonable purchaser, the fulfilled with positive moods, and the high impulsive purchaser. The factors of impulsive purchase stimuli were apparel property, consumer service, sales promotion on the point of sales, and low price. 2. The low impulsive Purchaser was affected little by impulsive purchase stimuli, spent a little money on apparel, and the married with high education level were the most. The reasonable purchaser was affected by sales promotion on the point of sales or low price, spent a little money on apparel, and students or house-wives were the most The fulfilled with positive moods was affected by low price, and students or career women with high education level were the most, but spent less money on apparel. The high impulsive purchaser was affected by various impulsive purchase stimuli, the young unmarried with high education level were the most, and spent more money on apparel. 3. The younger, the unmarried, students or career women, and shoppers with higher income or apparel expenditure showed a higher impulsive purchase tendency for relax from negative mood, design property, for inducement from neighbor, taste congruence, and positive moods. 4. The older, the married, house wives, and shoppers with higher apparel expenditure were stimulated by apparel property or consumer services.

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A Study on the Single-Family House Price Determinants Analyzed by Quantile Regression: In case of locating single family houses in Seoul (분위회귀분석을 적용한 단독주택의 가격형성요인에 관한 연구: 서울시 소재 단독주택을 대상으로)

  • Yang, Seungchul
    • Journal of the Korean Geographical Society
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    • v.49 no.5
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    • pp.690-704
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    • 2014
  • Single family houses are the traditional & typical type of house in human history. But there had been little attention to single family houses in Korea so that there was little studies on single family houses. This study aimed to analyse price determinants of single family houses in Seoul, using Quantile Regression Analysis(QRA). Because single family houses has large levels of price, quantile regression analysis is more proper than Ordinary Least Square(OLS). The Results of analysis showed that, land coverage ratio, zoning, passed years, basement floor, hight of land, shape of land were important factors to single family houses price. The scale of effect of land coverage ratio to single family houses price was different to price levels of single family houses. And basement floor affected more negative effects to middle price, location and zoning had positive effects to high price single family houses. The degree of influence of determinants of single family houses price was deferent by region, KangBuk and KangNam. In KangNam, land coverage ratio and accessibilities were more important in low price single family houses, green zone and more far way is affected positive effects on single family houses price. In Kangbuk, land coverage ratio affects similar effects on single family houses price.

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Analysis on the Lotting Price Fluctuation of the Multi-Family Attached House According to the Construction Material Cost Variation (건설자재 가격 변동에 따른 공동주택 분양가 변화 분석)

  • Choi, Yeol;Yim, Ha Kyoung;Park, Bong Woon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.6D
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    • pp.753-760
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    • 2009
  • This study analyzed the fluctuation of the construction material cost from 2001 to 2008 in Busan to examine the effect of the fluctuation of the construction material cost on lotting price of the multi family attached house. The major findings are as follow. First, as the result of the analysis on four materials such as reinforced bar, remicon, PHC piles, Copper Tubes, those take largest portion of construction cost, it was found that the there is wide difference in price fluctuation of the each materials. The reinforced bar and Copper Tubes showed high price increase by an average 14.03% and 14.91% per year while remicon, PHC piles remained almost unmoved by an average 0.86% and 2.41%. Second, According to the result of the analysis on the mutuality between the fluctuation of the construction material cost and the lotting price of the multi-family attached house, it was found that the fluctuation of the construction material cost have the most enormous effect on the sale price of the multi-family attached house, when there is 3 month time lag in reinforced bar, remicon, PHC piles, Copper Tubes, commonly. Also this mutuality continues to 6 month, 9 month and 1 year, although it decrease a little bit.