• Journal of Distribution Science
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• v.12 no.3
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• pp.65-73
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• 2014

Purpose - Aging and fewer economically active people have challenged the assumption of continuous population increases. A new real estate valuation methodology reflecting changes in population structure is thus needed. Research design, data, and methodology - The relationship between demographic change and changes in real estate prices is analyzed using ordinary least squares (OLS) to estimate the parameters, and a population structure change (PSC)-Binomial Option Model is developed to assess the volatility of the estimated parameters. Results based on Seoul and Shanghai data are compared. Results - Results of the DCF method indicate that investing in Seoul is better than investing in Shanghai, but the binomial option indicates the opposite. The PSC-binomial option model, reflecting changes in population structure, yields higher values (24.6 million won in Seoul and 43.3 million won in Shanghai) than those given by the binomial option model. Conclusions - This study indicates that applying changes in population structure to existing research, such as in the binomial option model, represents a more accurate real estate valuation method. Results demonstrate that the new model is more accurate than existing models such as the DCF or binomial option.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.119-124
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• 2023

This study analyzed the impact of the real estate changes on the unemployment rate in Korea. Using monthly data from January 2013 to February 2023, the study employed a multiple regression analysis model. The key findings are as follows: First, there was a significant causal relationship between the real estate changes and the unemployment rate. Specifically, an increase in the real estate market led to a significant decrease in the unemployment rate, while a decrease in the real estate market resulted in a significant increase in the unemployment rate. Second, an increase in the loan interest rate was found to significantly reduce the unemployment rate, while a rise in interest rates had positive effects on the employment. Furthermore, an increase in inflation was associated with a significant rise in the unemployment rate. Moreover, an increase in the number of permits issued for housing construction significantly reduced the unemployment rate. Lastly, conducting robustness tests by substituting variables did not significantly alter the analysis results, indicating the robustness of the impact of the real estate changes on the unemployment rate. Based on the above analysis, it can be inferred that the fluctuations in real estate prices in South Korea are linked to fluctuations in the unemployment rate, and stable management of the real estate market may contribute to the stability of the unemployment rate.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.83-89
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• 2022

This study analyzed the effect of bank loans on housing prices, classified bank loans into bank total loans, household loans, and real estate mortgage loans, and analyzed housing prices by dividing them into national-level, regional-level, and Seoul-level housing prices. The main analysis results are as follows. First, it was found that the increase in total bank loans significantly increased housing prices across the national-level, regional-level and Seoul-level. Second, it was found that household loans had a positive effect on regional-level housing prices, but were not statistically significant. In addition, the effect of bank loans on regional-level housing prices was found to be relatively small compared to the effect on national-level housing prices. Third, it was found that there was a difference in the effect of bank loans on regional-level housing prices and Seoul-level housing prices. Fourth, inflation and bank total loans had a significant positive effect on regional-level housing prices with a lag in the first quarter, and short-term interest rates had a significant negative effect on Seoul-level housing prices with a lag in the first quarter. Overall, it was found that the effect of bank loans on housing prices had a positive effect about twice that of Seoul-level rather than regional-level.

• The Korean Journal of Applied Statistics
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• v.31 no.2
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• pp.217-228
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• 2018

Since the real estate reporting system was first introduced, about 2 million real estate transaction per year have been reported over the last 10 years with an increasing demand for real estate price estimates. This study looks at the applicability and superiority of the regression-kriging method to derive effective real transaction prices estimation on the location where information about real transaction is unavailable. Several issues on predicting the real estate price are discussed and illustrated using the real transaction reports of Jinju, Gyeongsangnam-do. Results have been compared with a simple regression model in terms of the mean absolute error and root square error. It turns out that the regression-kriging model provides a more effective estimation of land price compared to the simple regression model. The regression-kriging method adequately reflects the spatial structure of the term that is not explained by other characteristic variables.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.11
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• pp.5465-5475
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• 2013

In this study, when to invest in real estate abroad, to present a real option in the way of decision-making. Thus, by using the binomial option model of one of the real thing and DCF, we compared the choice of real estate investment in China and South Korea. Research concerns the real estate market of Shanghai and Seoul, Analyzed the data between 2001-2009. Results were calculated NPV investment period (Net Present Value), Seoul appears in 435.44, Shanghai was 398.26. Investment decision by NPV method will select Seoul. However, as a result of calculating the value using the real option, it was found that for Seoul appear in 615.4, Shanghai has been shown to 626.1, and is suitable for investment in Shanghai. Assuming on the basis of this, that it has invested in practice, and compare the results, Seoul is intended for since 2010, real estate prices fell to 2013 currently, damage has occurred, profit's occurred Shanghai. This ensures that when making decisions in real estate investment and to use the real option than the existing DCF is appropriate.

• Journal of Digital Convergence
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• v.12 no.5
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• pp.89-99
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• 2014

Correlation of KOSPI from stock market and Apartment Prices in Seoul HPPCI from real estate market has been found from this research. Furthermore, from the comparison of those indicators' flows, certain precedence was found as well. The purpose of this research is to analyze correlation and precedence among KOSPI, Apartment price in Seoul, HPPCI and CLI. As for predicting KOSPI of stock market and real estate market, it is necessary to find out preceding indices and analyzing their progresses first. For 27 years from the January 1987 to December 2013, KOSPI has been grown by 687%, while CLI showed 443%, Apartment of Seoul showed 391%, HPPCI showed 263% of growth rate in order. As the result of correlation analysis among Apartment of Seoul, CLI, KOSPI and HPPCI, KOSPI and HPPCI showed high correlation coefficient of 0.877, and Apartment of Seoul and CLI showed that of 0.956 which is even higher. Result from the analysis, CLI shows high correlation with stock and real estate market, it is a good option to watch how CLI flows to predict stock and real estate market.

• The Journal of Economics, Marketing and Management
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• v.12 no.5
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• pp.31-40
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• 2024

Purpose: This study analyzes the factors influencing the housing preferences of elderly individuals when choosing residential areas in Hwaseong, a typical urban-rural complex city. Understanding these preferences is vital for formulating effective housing policies that enhance the quality of older people's life. Research design, data, and methodology: The survey conducted from March 10 to April 10, 2024, targeted 299 pre-retirees aged 50-64 living in Hwaseong. Using ANOVA and logistic regression analysis, the study examined essential factors affecting post-retirement residential decisions. Survey questions addressed essential considerations. Results: The results indicated that suburban housing was the most preferred option among pre-retirees in Hwaseong. The most critical factor that influences the choice of the home is ensuring convenience and relaxed in retirement. Significant differences emerged between housing type preferences, particularly in the importance of public transportation, cultural facilities, and housing prices. Conclusions: The study suggests several policy implications for urban-rural complex cities like Hwaseong. To meet the diverse needs of older people, urban housing should focus on improving accessibility, while rural housing should emphasize enhancing natural environments. Expanding rental housing options for older people and providing financial support for housing prices are recommended to promote housing stability for the aging population.

• Journal of Environmental Impact Assessment
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• v.21 no.2
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• pp.297-314
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• 2012

This study investigates the stigma effect of unwelcomed facilities on apartment prices through multiple regressions based on hedonic price method. The areas studied are Sang-gye Jugong 7, 9, 10 apartment complexes. The facilities analyzed are the Chang-dong Electric Subway Depot and the Do-bong Driver's License Agency. The factors studied include the environmental variable (the elapsed time since the announcement of the re-location of these facilities), the view commanding, the distance from Chang-dong Depot, the distance from Do-bong Driver's License Test Course, the distance from neighboring facilities (subway stations, schools, parks and so on), the floor and each dwelling's exclusive space. The data used are 2,822 sales which have been collected since January 1, 2006. The facts found are as follows; first, the view commanding and the distance from the unwelcomed facilities are statistically significant. second, the environmental variable, 'days' turns out to have a positive (+) and a negative (-) significant relationship with the dependent variable, 'price', in period II and period IV respectively. This implies that the stigma effect is real. third, there are significant differences in the influence on the apartment prices among the independent variables according to time. fourth, the stigma effect is estimated as 33,686,920 Korean won in the case of the apartments which have the view commanding and 30,311,844 won in the other case before the global economic crisis. This effect seems to decrease to 22,085,078 won after the crisis. These facts suggest that stigma effects could be considered as one of the benefits in the cost-benefit analysis of Chang-dong Depot re-location project to produce somewhat higher NPV or B/C ratio.

• The Journal of Industrial Distribution & Business
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• v.7 no.3
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• pp.27-36
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• 2016

Purpose - Considering the importance of housing needs to real estate market, domestic studies on real estate prices from the perspective of demand are basically based on macro-data, but relatively few are associated with micro-data of urban real estate demand. We try to find a reliable relation of elasticity of demand and commercial housing market. Research design, data, and methodology - In this paper, we have derived housing demand theoretic method and have utilized micro-data of residential family housing survey of downtown area in Kunming City in October, 2015 to estimate income elasticity and price elasticity of housing demand respectively and make a comparative analysis. Results - The results indicate that income elasticity and price elasticity of families with owner-occupied housing are both larger than those of families with rental housing. Income elasticity of housing demand of urban residential families in Kunming is far below the foreign average and eastern coastal cities level, however, the corresponding price elasticity is far higher. Conclusions - We suggest that housing affordability of urban families in western China are constrained by the level of economic development, and the current housing price level has exceeded the economic affordability and psychological expectation of ordinary residents. Furthermore, noticing the great rigidity of housing demand, the expansion space of housing market for improvement and for commodity is limited.

• Korean Journal of Construction Engineering and Management
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• v.4 no.4 s.16
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• pp.69-79
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• 2003

About 93$\%$ of domestic teal estate construction firms registered as the end of 2001 recorded net profits of only less than 500 million won(including firms in the red) for the term. As a result of having analyzed the ratios of sales costs and the structural ratios of sales costs for the past 10 years, it was found that there have been great changes in structural ratios of sales costs. Material costs and labor costs have gradually decreased, but outsourcing costs of processing have greatly increased. In order to find activity points which are fundamental to cost control, the methods of new activity based cost management have been pursued. The characteristics of real estate construction industry lie in the fact that contract prices (sales in) are fixed and amounts of profits differ depending on the use of costs. In order to create maximum profits from fixed contract prices, the new activity based cost management has been proposed. The control of operation budgets and management costs is designed to control their schedules and expenses in different respects. Operation budgets ate executed with specific activities and management costs are controlled as a form of material costs, labor costs, out sourcing costs and expenses which are details of expenditure. In order to execute them by using the methods of new activity based cost management, first of all, we have to analyze what activity drivers ale and how much added values such activities can create. It is considered as a method of cost management which is necessary far the survival management of real estate construction industry.