• Asia-Pacific Journal of Business
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• v.11 no.2
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• pp.27-43
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• 2020

Purpose - This study explores the impact of the real estate industry on related industries for the perspective of Chinese steel companies. Design/methodology/approach - The impact of housing prices on the 41 listed steel companies' performance was analyzed by using the panel data model. We used two kinds of housing price indexes that are set in the panel data models to estimate the range of the real estate market, driving the performance growth of steel listed companies. Moreover, the net profit of steel companies is used as the dependent variable. To test the stability of the model, ROA used as a dependent variable for the robustness test. Also, to avoid the time trend of housing prices, this paper selects the growth rate of housing prices as the primary research variable. After Fisher-type testings, there is no unit root problem in both independent and dependent variables. Findings - The results indicated that the rise in the housing price has a positive influence on the steel company performance. When the housing price increases by 1%, the net profit of steel enterprises will increase by 5 to 20 million yuan. Research implications or Originality - In this paper, empirical data at the micro-level and panel model are used to quantify China's real estate industry's driving effect on the iron and steel industry, providing evidence from the microdata level. It helps us to understand further the status and role of China's real estate industry in the economic structure.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1015-1022
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• 2009

Currently, Korean real estate market has experienced cooling down of the business because of the global economic crisis which resulted from the subprime mortgage lending practice. In response, the Korean government has enforced various policies at the base of deregulating real estate speculation, such as increasing Loan to value ratio (LTV) in order to stimulate housing demand and supply. However, these policies seemed to result in deep confusion in the Korean housing market. Furthermore, analysis for housing market forecasting, especially international financial crisis on Korean real estate market, has been partial and fragmentary, therefore comprehensive solution and systematical approach is required to analyze the real estate and real estate financial market including causal nexus between market determining factors. In an integrated point of view, applying the system dynamics modeling, the paper aims at proposing Korean Real Estate and Mortgage market dynamics models based on fundamental principles of housing market determined by supply and demand. We also find the impact of deregulation policies focusing on mortgage loan which is the main factors of policies.

• Journal of the Korean Society of Industry Convergence
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• v.11 no.2
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• pp.49-58
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• 2008

This study aims to identify the structure and system to make close relationship among planning elements, legal regulation and evaluation index toward sustainable development in the ecological housing estate. Through these close relationships the ecological housing estate could get more sustainability. With this consideration, this study consists of following three parts. First, we review the key issues of sustainability in ecological housing which are focused on the energy-efficient planning. Second, we extract the planning elements, legal regulation and evaluation index using the qualitative system dynamics that is found out all phenomenons from viewpoint of closed loop thinking and circular feedback system. Third, we analyse the correlationship among them in terms of energy efficient planning in the ecological housing estate. Finally, we summarize the findings toward sustainability in ecological housing estate through these analysis.

• Journal of architectural history
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• v.24 no.4
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• pp.19-28
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• 2015

This study examines the Singapore public housing supplied by Singapore Improvement Trust (SIT) in the 1950s. Focused on the Princess Elizabeth estate and Princess estate of Queenstown, this study surveys their construction backgrounds, site plans, unit plans, architectural designs and meanings. The Princess Elizabeth estate was the model estate for workmen's flats. This estate showed mixed blocks of flats arranged around a large quadrangled open space for children. The Princess estate was a neighborhood of Queenstown, Singapore's the first new town. At this Estate, there were some new architectural occurrences departing from the Tiong Bahru Estate. Those are the appearance of high-rise typology, and the increased specificity in the functions of open spaces. Thus the open space became to get hierarchy, and divided an estate to small neighborhood units. For the SIT, open space is synonymous with the improvement of urban environment. Through the purposeful creation of open space, the SIT intended to solve the problem of sanitation and to make a neighborhood unit which can be pleasant place for regional community.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2008.11a
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• pp.235-240
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• 2008

When rate of stated and public owned demesne in residential environment improvement is low under the limited resources of revenues, the new infrastructure for the maintenance of the existing estate has increased land reduction rate thus the place where lot of small estate find it difficult to accept as the feature of residential environment improvement. Although 'Diffusion model of residential environment improvement' which designed to overcome existing residential environment improvement, is middle of progress, there is not any suggestion made to solve problem caused by short of estate in order to maintain small estate and total Infrastructure. In feature of resident, we also notice ageing not only facilities and building. 'Elderly housing' can be presented as an alternative living style to solve housing and elderly matter which are caused by accumulation of individual estate and aging at once. Therefore, this research identifies resident's perception about elderly housing and recognizes task and potentialities that has to be solved in order to apply virtually to residential environment improvement.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2004.05a
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• pp.535-541
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• 2004

For housing estate of a new administrative capital city, Noise reduction method is a important design factor. As measuring a noise level of traffic noise according to separation from road, it can be created a quite housing estate. Analyzing of merits and demerits in sound barrier walls and tunnels can be proposed environment friendly soundproofing facilities. Number of measurement was performed to know what kind of layout of housing estate is good for noise reduction. Through this measurement, ㄷ shaped layout or parallel layout has the advantage of sound insulation rather than right angled layout. In this case (ㄷ shaped layout or parallel layout) buildings neighboring to the road should be designed to insulate sound. Evergreen trees should be planted between housing estate and road more than 30m (at least 7～8m) in order to reduce noise and have masking effects. If broad-leaved trees are planted more than 30m, approximately 10dB noise is reduced and 2～4dB if 7～8m. Roads in the estate should be designed considering pedestrians first, and special roads for moving and ambulance should be designed as skew road, if possible. The result shows that 15$^{\circ}$-sloped‘S’road reduces 1～2dB noise and 30$^{\circ}$-sloped road reduces 4～7dB. If noise barrier is inevitably installed, it should be designed to go well wit neighboring environment so as to install Environment Friendly Noise Barrier using materials and trees including wood and soil. Through this study the results are used to guideline for construction of environment friendly housing estate

• International conference on construction engineering and project management
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• 2007.03a
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• pp.490-497
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• 2007

Since the foreign currency crisis, Korean economy has suffered recession and the government launches residence and real estate policy in order to increase the demand and trade of real estate and to help the economy revitalization. 1 As a result, the rate of economy growth is shown the high increase with the figure of 10.9% in 1999 and 8.8% in 2000. However, it brings overheating market as a negative effect. Although, the government established the policy for the control of speculation, the policy causes instability of economy. This study is to analyze the effect between the residence policy and the housing cost since the foreign currency crisis through housing sale price estimation and housing lease price estimation and is to apply the basis data of the next residence policy.

• Journal of Construction Engineering and Project Management
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• v.1 no.2
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• pp.43-48
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• 2011

In many parts of the world, low cost housing used to be built and maintained by the governments, based on designs and detail specifications prepared by the public sector with construction carried out by contractors. Results vary due to differences in design standards, workmanship and property management, depending also on the neighbourhood's care of the estates and their pattern of usage. In the UK, where Private Finance Initiative (PFI) has been used for infrastructure projects, there have been successful cases of city estate being transformed by PFI. These PFI housing schemes involve new-build, refurbishment as well as facility management. Unlike traditional construction, which is based on prescriptive specifications, PFI housing is based on output specifications. A study has been undertaken to compare the two specification approaches as they are applied to housing estate. Results are enlightening and serve as good reference to cities such as Hong Kong SAR and Singapore, where public housing provisions have been a major concern of their citizens as the building stock gets older.

• International Area Studies Review
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• v.15 no.3
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• pp.263-283
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• 2011

As China has achieved continuous high growth, innovative housing system and rapid growth of housing finance for thirty years since its reforming and opening, Chinese real estate industry has developed rapidly, investment in real estate has increased remarkably and price of real estate has increased continuously. In particular, as China joined WTO in 2001, overseas companies have expanded investment in Chinese real estate market with chances of potential profit. Recently, management of foreign capital real estate companies has expanded from housing to office buildings and luxury shops. Besides, management has expanded from real estate development to various tasks such as management, brokerage service, lease management and financial investment. In order to measure relationship between FDI in Chinese real estate and Chinese housing price, this document utilizes not only various data such as housing price, FDI to real estate, domestic loan of real estate, interest rate and exchange rate in 35 major cities across China but also previous researches to set an empirical analysis model and analyze effects of foreigners' direct investment in Chinese real estate on Chinese housing price.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.274-283
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• 2022

Korea is facing a number difficulties arising from rising housing prices. As 'housing' takes the lion's share in personal assets, many difficulties are expected to arise from fluctuating housing prices. The purpose of this study is creating housing price prediction model to prevent such risks and induce reasonable real estate purchases. This study made many attempts for understanding real estate instability and creating appropriate housing price prediction model. This study predicted and validated housing prices by using the LSTM technique - a type of Artificial Intelligence deep learning technology. LSTM is a network in which cell state and hidden state are recursively calculated in a structure which added cell state, which is conveyor belt role, to the existing RNN's hidden state. The real sale prices of apartments in autonomous districts ranging from January 2006 to December 2019 were collected through the Ministry of Land, Infrastructure, and Transport's real sale price open system and basic apartment and commercial district information were collected through the Public Data Portal and the Seoul Metropolitan City Data. The collected real sale price data were scaled based on monthly average sale price and a total of 168 data were organized by preprocessing respective data based on address. In order to predict prices, the LSTM implementation process was conducted by setting training period as 29 months (April 2015 to August 2017), validation period as 13 months (September 2017 to September 2018), and test period as 13 months (December 2018 to December 2019) according to time series data set. As a result of this study for predicting 'prices', there have been the following results. Firstly, this study obtained 76 percent of prediction similarity. We tried to design a prediction model of real estate transaction price with the LSTM Model based on AI and Bigdata. The final prediction model was created by collecting time series data, which identified the fact that 76 percent model can be made. This validated that predicting rate of return through the LSTM method can gain reliability.