The Journal of the Convergence on Culture Technology
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v.7
no.4
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pp.607-612
/
2021
This study estimated the impact of the shock of housing price increase on the total fertility rate and the contribution of each variable to changes in the TFR. This study is differentiated by estimating the contribution rate of each variable to the fertility rate through the Shapley decomposition and the panel VAR's forecast error variance decomposition, which previous studies have not attempted. The main results of this study are as follows. First, the decline in the TFR in Korea has been strongly influenced by the recent decline in the total fertility rate, and this influence is expected to continue in the future. In the case of housing costs, in the past, housing sales prices had a relatively small contribution to changes in the total fertility rate compared to the jeonse prices, but their influence is expected to increase in the long term in the future. It has been demonstrated that private education expenses other than housing sale price and Jeonse price also acted as a major cause of the decline in the total fertility rate.
Korean Journal of Construction Engineering and Management
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v.25
no.4
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pp.45-52
/
2024
Estimating the sales price of a residential building development project is difficult because of it has many complex variables such as location, environment, and economic conditions. Many previous studies related to influence factors of the sales price is to identify by survey of experts and it is few studies by comparing with actual sales price. Accordingly, the purpose of this study is to identify the factors influenced on the projects by using correlation analysis from collected actual data in this study. For the purpose, first, the factors such as economy, location, housing, financial environmental factors were identified from previous studies. Second, data were collected on actual sale prices and selected factors. Finally, the actual sales price and factors were compared and analyzed by using correlation analysis. As a result, the R2 values of economy, location, housing and financial environmental factors were over 0.5 respectively. Therefore, it was confirmed that these factors were significantly correlated with actual sales price. The results of this study are expected to be utilized as basic data for research and development of a new sale prices prediction model.
This paper has examined a resident's feeling of satisfaction on residential environment. It has searched a policy direction to improve the quality of residential environment with three models in which what factors have an influence on the resident's feeling of satisfaction is evaluated. First, when the residents were asked why they chose lease APT, Low price was answered the most between two populations. Second, with regard to the feeling of satisfaction by categories, both populations showed similar results. The social prejudice on lease APT such as disadvantage on their children and unfavorable surroundings that has been engraved in people's mind about lease APT for a long time was never an issue any more. Third, when the two populations were examined by regression analysis with three models in terms of what factors had an effect on the feeling of satisfaction, there was no big difference in each effect of variables. Internal environment was a key variable for lease APT while external environment was a core variable for the APT that is converted into installment sale. In order to enhance the feeling of satisfaction on residential environment for lease APT residents, high quality turned out the most important factor between both populations, and then a loan with low interest rate and high average standard of APT followed. As unsatisfactory items, low cultural level, slowness in repairing works, and unsatisfactory finishing work were pointed out with regard to the low quality of internal facilities. In general, it turned out that the APT that was converted into installment sale was more preferable than lease APT. As known in this analysis, housing supply policy needs to be focused on quality and high average standard of APT should be achieved for the working classes.
Although the term royal floors is broadly used in high-rise housing, it is hard to find any clear scholarly definition of this term or any in-depth study exploring people's perceptions of it. This study reviewed ongoing discussions about concepts and definitions regarding royal floors, collected opinions from high-rise housing residents and realtors about the term, and compared the opinions of these two groups. First, the statistically analyzed results verified five main factors affecting people's perceptions of royal floors: locational characteristics (i.e., daylight, view, orientation), 2) price characteristics (i.e., premium, price increase level, number of houses on urgent sale), 3) best location of apartment building (i.e., location within a neighborhood, unit size), 4) architectural characteristics of apartment complex (i.e., size of complex, housing type, size options of units), and 5) personal characteristics of respondents (i.e., personal concepts of the meaning of housing, lifestyles). Results from the analysis showed that realtors perceived strong relationships between royal floors and 1) locational and 2) price characteristic factors, while residents perceived strong relationships between royal floors and personal preference as well as three factors from the five identified above: 1) locational, 2) price, and 4) architectural characteristics. Third, in defining royal floors in a building, the past rule of 1/4 is no longer effective. Instead, the rule of 1/n has become more prevalent (i.e., 1/6 to 1/8). Fourth, royal floors can be defined as the 15th to 25th floors in a 30-story high-rise housing structure based on the agreement of 50% of residents and 70% of realtors.
Kim, Sang Hwan;Choy, Won Cheol;Kim, Ju Hyung;Kim, Jae Jun
KIEAE Journal
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v.10
no.5
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pp.159-164
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2010
High-rising buildings are a sort of solution to recent cities. Till now real estate development was concentrated in new development on vacant lots, and it resulted urban sprawl. Generally large cities are confronted with the exodus of industry and population from city. High-rising buildings solve many problems associated with this problem. The purpose of this research is to identify the effect of super high-rise mixed use building project process on apartment price. For this study, the hypothesis is that price of apartments is influenced by project process of super high-rise mixed use building. The study concerned 4 variations of project process that is building permits stage, sale stage, construction starting stage and stage of moving into building. The target projects of buildings are selected by number of floor(over 40 floors) and construction time. And 48 apartment complex are selected around super high-rise mixed use building. This study uses hedonic price function to analysis effect of project process of super high-rise mixed use building. A price of apartments is defined as a dependent variable. Characteristics of residence, complex, district and super high-rise building are defined as independent variables. The results are as follows; first, there is no error in price model of this study. Second, it is found that apartment price was influenced negatively by building permit stage and sale stage of super high-rise mixed use building. But that was influenced positively by construction starting stage and stage of moving into building of that. Third, as the project process of super high-rise mixed use building was proceeded, price of apartments was increased.
Journal of the Korea Academia-Industrial cooperation Society
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v.11
no.6
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pp.2038-2045
/
2010
Households' monthly average income is composed of various factors. This study paper studies focuses on estimating the determinants of a households' monthly average income. The region for analysis consist of three groups, that is, the whole country, a metropolitan city(such as Busan, Daegu, Incheon, Gwangiu, Daejeon, Ulsan.) and Seoul. Analyzing period be formed over a 57 time points(2005. 01~2009. 09). In this paper the dependent variable setting up the households' monthly average income, explanatory (independent) variables are composed of the consumer price index, employment to population ratio, Index of housing sale price, the preceding composite index, loans of housing mortgage, spending rate for care medical expense and the composite stock price index. In looking at the factors which determine the monthly average income, evidence was produced supporting the hypothesis that there is a significant positive relationship between the composite index and housing loans. The study also produced evidence supporting the view that there is a significant negative relationship between employment ratios, the house sale pricing index and spending rates for care or medical needs. The study found that the consumer price index and composite stock price index were not significant variables. The implications of these findings are discussed for further research.
Journal of the Korean Regional Science Association
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v.38
no.4
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pp.31-44
/
2022
This study was conducted with the aim of confirming the relevance and effect of the characteristics of the cities and cities in the neighborhood area, focusing on the sale price per square meter of apartment. Specifically, it was intended to determine whether cities in the relevant city and neighborhood area have differential characteristics between the metropolitan area and the non-metropolitan area, whether industrial characteristics, urban planning and development project characteristics, and location characteristics. Comparing the research results of the city and metropolitan area, it was found that there was a correlation in all areas of population characteristics. Industrial and urban planning projects and development project characteristics sectors are not significant in the city, but they appear significant when analyzed in the urban area of the year. When classifying and analyzing the metropolitan area and the non-metropolitan area, both the metropolitan area and the non-metropolitan area were significant in the population sector, and only the distance from Gangnam-gu was significant in the local sector. Since the population is concentrated in the Seoul metropolitan area now, the sale price per square meter of apartments is also concentrated in the Seoul metropolitan area, which is believed to result in such a result. This is judged to be an analysis that appears because the characteristics of the developable status of the metropolitan area and the non-metropolitan area are different. Accordingly, this study shows that the characteristics of neighboring areas as well as the city should be analyzed when analyzing the factors affecting the sale price per square meter of apartment, and suggests that housing market monitoring needs to be carried out together.
Proceedings of the Korean Institute Of Construction Engineering and Management
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2007.11a
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pp.455-458
/
2007
With the government plan to introduce a post-sale system to the Korean real estate market quickly becoming a reality, reformation of the supervision policy under the current pre-sale system is expected. The current supervision policy, designed to enhance the quality of houses and to prevent improper construction, was reinforced through the 'residential construction promotion act' and has been further revised as the 'residential law'. At this current time, the introduction of a post-sale system is expected to affect all aspects of residential construction, from the planning stages to overall conditions regarding the actual construction. Therefore, this research will illustrate several changes in the supervision policy that are expected to arise from the introduction of the post-sale system, focusing on areas of the policy that are presumed to be the most affected. The research will highlight problems under the current system, analyze any domestic supervision restrictions that have been regulated for post-sales that are currently effective, and suggestion methods of improvement in construction supervision system through SWOT analysis.
Korean Journal of Construction Engineering and Management
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v.22
no.4
/
pp.59-65
/
2021
Since the 2016 "Housing Act Partial Amendment" and the "2018 Housing Comprehensive Amendment Plan", interest in the pre sale system and post sale system of apartment houses has been on the rise. In order to compare the advantages and disadvantages of the pre sale system and the post sale system of apartment houses, and to establish the basis for the institutional policy of the post sale system, a questionnaire survey method was used for tenants of the apartment house from the public side, and issues of time and cost. The time series analysis method is intended to suggest an appropriate time for payment of contributions. Accordingly, through a review of existing theories and literature, the post sale system of public and private institutions was organized, and through a questionnaire survey, the path to securing pre sale money, product information of the model house, and the degree of awareness of the effect of the post sale system were investigated. For the post sale fund support and payment method, it is necessary to increase the commercial line for existing financiers from the user's point of view, and it is necessary to operate in consideration of the economic power of the pre sale market by region. Both 60% post sale and 80% post sale have a price range of up to KRW 10 million, and the total interest rate is 5.0%, and the annual interest rate is about 2.8% for 60% post sale, and about 2.1% for 80% post sale, which is lower than the current 3.1%. I need an interest rate. The research is a perception survey targeting a total of 5,213 households in a sample of after sale apartments in public institutions. As the actual values are analyzed using a time series on the effects of market supply and demand and market prices, there is a limit to applying them to prospective residents of private apartments. In addition, to respond to first time tenants, a questionnaire survey was conducted on five complexes that have moved in within the last five years.
Journal of the Korea Institute of Building Construction
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v.19
no.5
/
pp.439-448
/
2019
There are various factors affecting the success and failure of an apartment building project. However, after the unit sale price has been determined and the sale has started, the most important factor affecting on the project is the initial sales ratio for one month after the sale. Generally, developers predict an initial sales ratio by various data such as economic situation, the trend of the housing market, and the house price near the business place. However, it is very difficult for these factors to be calculated quantitatively in connection with the initial sales ratio. Therefore, the purpose of this study is to develop a regression model for forecasting the initial sales ratio of apartment building projects. For this study, pre-sales data collection, correlation analysis between influencing factors, and regression model development are performed sequentially. The results of this study are used as basic data for predicting the initial sales ratio in the feasibility analysis of apartment building projects and are used as key data for the development of the risk management model.
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