• Title/Summary/Keyword: 미분양아파트

Search Result 23, Processing Time 0.028 seconds

REALTY ISSUE-미분양 주택 매입 실효성 논란

  • 조철현
    • 주택과사람들
    • /
    • s.222
    • /
    • pp.66-69
    • /
    • 2008
  • 경기 침체와 미분양 급증으로 유동성 위기에 처한 건설 업체들이 늘면서 미분양 아파트 '땡처리' 시장이 확대되고 있다. 지난해 10월부터 시장 회복을 위해 주택공사가 미분양 아파트를 매입 중이지만, 매입을 완료했거나 올해까지 매입할 미분양 분량은 총 5000가구(약 1조 원)에 달한다. 게다가 미분양 아파트 펀드를 준비 중인 부동산 자산 운용사에 매입 의뢰가 들어온 미분양 물량 규모만 해도 2조 원에 이른다. 결국 3조원대 상당의 아파트 땡처리 시장이 열린 셈이다.

  • PDF

시장 내부에서 해소될 수 있는 대책 마련시급

  • Kim, Hyeon-A
    • 주택과사람들
    • /
    • s.210
    • /
    • pp.20-23
    • /
    • 2007
  • 미분양 아파트가 정부 통계9만 가구 이상이고, 시장 분위기는 20만 가구가 넘어선 가운데 정부는 미분양 아파트를 임대 주택으로 활용하는 방안을 발표했으나 시장은 냉담하기만 하다. 지방의 미분양 아파트는 적체된 지 오래고, 남양주 진접지구 등 수도권 지역도 미분양에서 더 이상 자유롭지 못하다. 각 지역별 미분양 현황을 살펴보고, 부동산 경기 활성화를 위한 대책에 대해 알아본다

  • PDF

A Marketing Strategy for Unsold Apartments using Conjoint Analysis of Customer Preference (수요자 선호도 분석을 통한 미분양 아파트 마케팅 전략)

  • Lee, Kwang-Kyun;Lee, Joo-Hyung
    • The Journal of the Korea Contents Association
    • /
    • v.13 no.10
    • /
    • pp.556-564
    • /
    • 2013
  • The main purpose of this research is considering further marketing strategy to resolve unsold housing matters in private sectors through an analysis of preference factors for those housing customers. This study used one of the most widely-used research methods in marketing to figure out the preference factors for those customers and then it was categorized which factors are more or less important by conjoint analysis. According to the result, the home buyers for the unsold apartments were more paying attention some social and financial benefits for instance, a decline of housing price and a guarantee of housing securities rather than geographical conditions and residential environment before they make the decision to purchase a home. Secondly, they concerned some factors such as the most importance in location and geographical condition which were easy access to the transportation. Furthermore, a standard of eco-friendly apartment buildings was essential matter in residential environment. The third, those properties were on the stocks of unsold homes so they more tended to buy their houses with lower price than the terms and conditions of housing payment. Finally, it was explored that the most efficient way to promoting them through housing exhibitions or presentations as the PR strategy.

Decision-making Factors and Characteristics for Buying an Unsold Apartment: Focused on Unsold Apartment Residents (미분양아파트 구매의사결정 영향구조 분석: 잔여세대 입주자를 대상으로)

  • Tak, Jung-Ho;Rho, Jeong-Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.18 no.11
    • /
    • pp.229-238
    • /
    • 2017
  • The study suggested plans to solve the problems of unsold apartments that lead to social and economic issues in our society, analyzed the characteristic factors related to the unsold apartment residents, investigated the preference factors, and finally determined the influence structure between the characteristic factors of residents and the mitigation factor of unsold apartment, for the repurchase intention. From previous studies, this study determined the characteristic factors based on the physical, environmental, social and economic characteristics to make up the characteristic factors for the unsold apartment residents. Then, through a Focus Group Interview (FGI) among the members of a real estate specialist group, it summarized the suitable factors for analysis and analyzed the influence structure between all factors through Partial Least Squares Structural Equation Modeling (PLS-SEM). The study results show that the mitigation factors are the most profound cause of the decision-making for unsold apartment residents, followed by economic factors and residential factors. In addition, the residential satisfaction for the unsold apartment residents has a positive relation with the repurchase intention.

A Study on the Decision-making Factors of Living-in Idea into Unsold Apartment of Metropolitan Area (수도권 미분양아파트 구매의사결정 영향요인 분석)

  • Tak, Jung-Ho;Rho, Jeong-Hyun
    • The Journal of the Korea Contents Association
    • /
    • v.17 no.4
    • /
    • pp.247-255
    • /
    • 2017
  • The study figured out the preference factors which should be considered for investor on decision making of unsold apartment and analyzed by comparing the difference according to the type. Then, it investigated the preference factors through the previous studies to analyze the influence factor of decision making and demonstrated the effects through the PLS (Partial Least Squares) regression. In addition, it separated the target type to tenants and construction firms and carried out the survey for comparing the preference factors of investor type. The result of analysis found out that tenants emphasis on preference factors such as the internal factor (1.141), conditional relaxation (1.114), environment factor (1.107), social factor (1.048), external factor (1.030), educational environment factor (1.010) and etc. Then, construction firms emphasis on preference factors such as the social factor (1.401), environment factor (1.251), conditional relaxation (1.133) and etc. In addition, common preferences factors are the conditional relaxation, social factor, environment factor.

재외교포 부동산 투자 자금 유입 러시 - 국내 건설사 아파트 미분량 물량, 해외에 판다

  • 한국주택협회
    • 주택과사람들
    • /
    • s.224
    • /
    • pp.58-59
    • /
    • 2008
  • 미분양이 쌓이며 주택 가격이 계속 하락하고 있다. 환율은 최근 어느 정도 안정세를 보이고 있지만 여전히 높은 수준이다. 이에 따라 환차익과 시세 차익을 동시에 고려한 재외 교포 등 해외에서의 국내 투자가 활기를 띠고 있다. 미분양을 줄이고, 외화를 유입할 것으로 기대되는 건설사, 분양 대행사의 해외 마케팅에 대해 알아보자.

  • PDF

Development of Forecasting Model for the Initial Sale of Apartment Using Data Mining: The Case of Unsold Apartment Complex in Wirye New Town (데이터 마이닝을 이용한 아파트 초기계약 예측모형 개발: 위례 신도시 미분양 아파트 단지를 사례로)

  • Kim, Ji Young;Lee, Sang-Kyeong
    • Journal of Digital Convergence
    • /
    • v.16 no.12
    • /
    • pp.217-229
    • /
    • 2018
  • This paper aims at applying the data mining such as decision tree, neural network, and logistic regression to an unsold apartment complex in Wirye new town and developing the model forecasting the result of initial sale contract by house unit. Raw data are divided into training data and test data. The order of predictability in training data is neural network, decision tree, and logistic regression. On the contrary, the results of test data show that logistic regression is the best model. This means that logistic regression has more data adaptability than neural network which is developed as the model optimized for training data. Determinants of initial sale are the location of floor, direction, the location of unit, the proximity of electricity and generator room, subscriber's residential region and the type of subscription. This suggests that using two models together is more effective in exploring determinants of initial sales. This paper contributes to the development of convergence field by expanding the scope of data mining.