• 대한지리학회지
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• 제35권5호
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• pp.717-729
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• 2000

1997년 말의 경제위기 상황 이후 한국의 부동산 시장에서의 공급 증가 및 수요의 위축으로 부동산 가격이 크게 폭락하였다. 주택 시장에 있어서도 실질소득이 감소와 주택금융의 부족 등에 의한 수요의 감소로 단기간 동안 주택가격이 급격히 하락하였다. 그러나, 부동산 경기 부양을 유도하는 정책적인 기제에 의해 1998년 말 이후 주택가격이 다시 상승하게 되었다. 이 경우 주택 가격 하락기나 그 이후의 회복기에 도시별 격차가 뚜렷하게 나타났다. 각 도시들은 주택 가격의 하락률과 상승률의 차이에 따라 4개 그룹으로 구분될 수 있다. 몇몇 도시들에서는 주택 가격의 하락기에는 급격한 하락을 보인 대신 상승기에는 다시 비교적 빠른 상승세를 보여 경제 위기 이전의 상황으로 그 수준이 거의 회복되었다. 그러나, 반면에 다른 몇몇의 도시들에서는 주택시장이 침체에서 벗어나지 못한 채 회복기 이후에도 계속 하락하는 추세를 보였다. 이러한 격차는 주택 매매 가격뿐만 아니라 주택 전세 가격에도 뚜렷이 나타났다. 특히, 수도권 일대의 전세가격 상승 정도는 주택 시장 침체기에 나타났던 하락을 상회하였고, 일부 지역의 재개발 계획과 그에 대한 기대 심리로 인해 전세 수요의 급증을 초래하기도 하였다. 결과적으로 금융위기에 따른 경제 침체기를 경험하고 극복하는 과정에서 도시간 주택 시장의 격차는 더 크게 벌어지게 되었다.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2008년도 하계학술발표대회 논문집
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• pp.794-800
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• 2008

Due to high oil prices and global warming problems, researching an alternative energy source and decreasing the energy usage will be the key in the future. Unlike other alternative energy sources, geothermal energy is less dependent on the surrounding environment. Geothermal energy is the ideal energy source for buildings due to the simple and space saving installation. The system is semi permanent once it is installed and this will help reduce the energy usage in controlling the climate in buildings. Geothermal energy does not emit carbon dioxide and other gases that are harmful to the environment. Therefore geothermal energy will be the key in solving high oil prices and a decrease in fossil fuels by applying the geothermal energy system to detached house to counter future energy crisis.

• 대한지리학회지
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• 제43권1호
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• pp.104-116
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• 2008

투기과열지역은 투기의 발생 가능성이 높은 지역으로, 각종 부동산대책의 주요 대상이 된다. 본 연구에서는 부동산 가격변동의 공간패턴을 모형화함으로써 투기과열지역의 공간패턴을 제안하고자 한다. 부동산 가격은 합리적 또는 적응적 소유자 수요자의 경계행위에 의해서 결정되고, 가격변동의 공간패턴은 이들의 경제행위 경향에 의해서 형성된다고 모형화하였다. 일정 지역에 적응적 소유자와 수요자가 다수인 경우, 이 지역은 타 지역에 비해 가격상승 폭이 높고 주변 부동산과 가격상승이 동시에 일어나는 가격변동 핫스팟 패턴으로 정의하였다. 투기과열지역은 최대의 미래 기대이익을 얻고자하는 적응적 소유자와 수요자에 의해서 형성되기 때문에 이 지역의 공간패턴은 가격변동 핫스팟 패턴으로 정의할 수 있었다.

• 한국주거학회논문집
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• 제19권5호
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• pp.29-36
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• 2008

The objective of his study is to research the effect of the 'Dagagu' housing purchase and the public rental housing supply on the nearby community. In the case of public rental housing, many studies have demonstrated that the perception that a public rental house is a low income dwelling has an external effect on the residents immediately outside the area such as the perception of the lowering of house prices. However, an advanced research concerning the 'Dagagu' housing purchase and public rental housing has not been carried out because it has only recently been enforced. Through a survey conduced of residents who live nearby the 'Dagagu' housing purchase and public rental housing the aim of his study is to show how the residents perceive the renal houses and are influenced by them. At the same time, this study demonstrates the external effect of rental house supply by analyzing the housing price around the area. Most people who live in the near by 'Dagagu' housing purchase and public renal housing have a negative opinion of his housing because they believe that the residential prices will depreciate. However, only about 40% of the people felt that the residential price depreciation as a result of the 'Dagagu' housing purchase and public rental housing supply was not visible.

• 아태비즈니스연구
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• 제15권1호
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• pp.225-237
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• 2024

Purpose - This study aims to explore the relationship between housing and land prices, with a specific emphasis on the impact of government policies on these factors such as land supply quantity and the ratio of residential land to total land supplied. The goal is to identify the most effective government intervention strategies for controlling both housing and land prices. Design/methodology/approach - Data from 70 primary and medium-sized cities in China spanning from 2003 to 2017 are utilized in this research. The analysis employs a panel vector autoregressive (PVAR) model, with a primary focus on examining the relationships among housing prices, land prices, and government intervention policies. Findings - Housing and land prices are influenced by various factors. Through impulse response analysis and variance decomposition, it is observed that both housing and land prices are predominantly influenced by their internal dynamics, with comparatively weaker effects attributed to policy interventions. Research implications or Originality - By investigating the impact of government policies on housing and land prices, This study establishes a foundation for effective price control measures. Our study advocates for a comprehensive examination of China's land supply mechanism to enhance understanding of the pathways through which government policies influence the markets.

• 한국정보시스템학회지:정보시스템연구
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• 제30권2호
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• pp.147-163
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• 2021

Purpose The study aims to predict real estate prices by utilizing regional characteristics. Since real estate has the characteristic of immobility, the characteristics of a region have a great influence on the price of real estate. In addition, real estate prices are closely related to economic development and are a major concern for policy makers and investors. Accurate house price forecasting is necessary to prepare for the impact of house price fluctuations. To improve the performance of our predictive models, we applied LSTM, a widely used deep learning technique for predicting time series data. Design/methodology/approach This study used time series data on real estate prices provided by the Ministry of Land, Infrastructure and Transport. For time series data preprocessing, HP filters were applied to decompose trends and SOM was used to cluster regions with similar price directions. To build a real estate price prediction model, SVR and LSTM were applied, and the prices of regions classified into similar clusters by SOM were used as input variables. Findings The clustering results showed that the region of the same cluster was geographically close, and it was possible to confirm the characteristics of being classified as the same cluster even if there was a price level and a similar industry group. As a result of predicting real estate prices in 1, 2, and 3 months, LSTM showed better predictive performance than SVR, and LSTM showed better predictive performance in long-term forecasting 3 months later than in 1-month short-term forecasting.

• 부동산연구
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• 제24권1호
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• pp.15-26
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• 2014

본 연구는 다변량 GARCH 모형을 이용하여 우리나라 주택시장의 상호연관성을 분석하였다. 주택 유형별 매매가격증가율과 전세가격증가율 간 상관관계 분석에서는 연립주택보다는 단독주택과 아파트의 상관계수가 더 크게 나타났다. 주택 유형에 따른 분석결과에 의하면 매매가격증가율과 전세가격증가율 두 분석 모두에서 단독주택과 연립주택 간 상관관계가 아파트와 단독주택 간 상관관계나 아파트와 연립주택 간 상관관계보다 높은 것으로 밝혀졌다. 주택을 크기에 따라 분류하였을 때 매매가격증가율을 이용한 분석결과와 전세가격증가율을 이용한 분석결과 간에는 큰 차이를 발견할 수 없었다. 아파트의 경우는 중형 아파트와 소형 아파트 간 상관관계가 가장 큰 것으로 나타났으며, 단독주택의 경우에는 대형 단독주택과 중형 단독주택 간 상관관계가 제일 큰 값을 기록하였다. 일반적으로 사람들이 아파트는 중소형 이하에, 단독주택은 중대형 이상에 관심이 많다는 사실이 본 연구의 분석결과를 간접적으로 뒷받침해주고 있다. 연립주택의 경우에는 매매 가격보다 전세가격의 경우에 중 대형 연립주택과 소형 연립주택 간 상관계수가 더 커지는 현상을 보이고 있는데, 이는 주택을 구입하는 경우와 주택을 임대하는 경우의 의사결정 과정이 서로 상이한데 그 이유가 있는 듯 보인다.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.151-157
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• 2013

Since the sub-prime mortgage crisis from the US in 2008, the Korean housing market has plummeted. However, the deposit prices of the Korean local lease contract, Chonsei, had been increasing. This increase of Chonsei prices can be a threat to low-income people, most of whom prefer to live in houses with a Chonsei contract. In the housing and Chonsei market, there are many stakeholders with their own interest, hence, simple thoughts about housing and Chonsei market, such as more house supply, will decrease house price, would not work in a real complex housing market. In this research, we suggests system dynamics conceptual model which consists of causal-loop-diagrams for the Chonsei market as well as the housing market. In conclusion, the Chonsei price has its own homeostasis characteristics and different price behavior with housing price in the short and long term period. We found that unless government does not have a structural causation mind in implementing policies in the real estate market, the government may not attain their intended effectiveness on both markets.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.869-875
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• 2020

As a basic element for sustainable development, the residential housing industry is vital and fundamental for every country in the world. Therefore, this study examines the impacts of financial considerations on house purchase decisions by housing investors in Auckland, New Zealand. 110 completed questionnaires were statistically analyzed. For testing the proposed hypotheses, Structural Equation Modelling (SEM) was used. The results show that house prices, income, and credit accessibility significantly influence housing investors' purchase decisions in a positive direction. It appears that more expensive houses offer more promising returns such that housing investors having higher levels of income and access to loans are brave enough to invest in such houses. This study aims to present the key factors influencing house purchase decisions from the viewpoint of housing investors as fundamental groups of stakeholders in the property market, which is rarely examined in previous studies. The implication of this study is to provide guidelines for housing regulators in New Zealand to develop affordable housing prices through the availability of land banks. This study also offers practical contributions to housing investors, particularly by providing key guidelines to make effective investment decisions.

• 아태비즈니스연구
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• 제11권4호
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• pp.189-203
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• 2020

Purpose - This study aims in analyzing the dynamic relationship between household loans and housing prices according to the characteristics of depository institutions after the financial crisis, identifying the recent trends between them, and making policy suggestions for stabilizing house prices. Design/methodology/approach - The monthly data used in this study are household loans, household loan interest rates, and housing prices ranging from January 2012 to May 2020, and came from ECOS of the Bank of Korea and Liiv-on of Kookmin Bank. This study used vector auto-regression, generalized impulse response function, and forecast error variance decomposition with the data so as to yield analysis results. Findings - The analysis of this study no more shows that the household loan interest rates in both deposit banks and non-bank deposit institutions had statistically significant effects on housing prices. Also, unlike the previous studies, there was statistically significant bi-directional causality between housing prices and household loans in neither deposit banks nor non-bank deposit institutions. Rather, it was found that there is a unidirectional causality from housing prices to household loans in deposit banks, which is considered that housing prices have one-sided effects on household loans due to the overheated housing market after the financial crisis. Research implications or Originality - As a result, Korea's housing market is closely related to deposit banks, and housing prices are acting as more dominant information variables than interest rates or loans under the long-term low interest rate trend. Therefore, in order to stabilize housing prices, the housing supply must be continuously made so that everyone can enjoy housing services equally. In addition, the expansion and reinforcement of the social security net should be realized systematically so as to stop households from being troubled with the housing price decline.