• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.340-348
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• 2019

This study analyzes the factors that influence commercial gentrification in Seoul by using both logit model analysis and machine learning with data cumulated from 2015 to 2018 regarding 158 market areas. Logit analysis indicates that log(market area average monthly rent) and the ratio of the purchasing amount by customers aged 40 and younger to total sales in the restaurant and retail business category are statistically significant at 1%; the increase in sales per female customer aged between 30 and 39 in the restaurant and retail business category is statistically significant at 5%; and the increase in number of retailers with a business history of less than two years in the franchise business category is significant at 10%. Machine learning indicates that significant factors ordered by importance are the total retail area, the existence of an industrial complex within the market area, the existence of a traditional market within the market area, the location of subway stations within the market area, the increase of entertainment facilities such as movie theaters within the market area, average monthly rent, and the growth rate of average monthly rent. The contribution of this research is threefold. First, this study analyzes the entire commercial area of Seoul, Korea. Second, this study provides a foundation for future research on predictive indicators by empirically investigating the factors that influence commercial gentrification in Seoul. Lastly, this study introduces various methods of research by utilizing a machine learning approach.

• International Area Studies Review
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• v.21 no.4
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• pp.173-194
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• 2017

The research study conducted logistics regression analysis through HLM (Hierarchical Linear Modeling) and presented the value of the outcome in order to investigate characteristic factors of demanders which influence the intention to move into public rental housing. (1) The results of the regression analysis of characteristic factors of household and housing were analyzed as having the significant effect on the intention to move in public rental housing, according to residents moving in monthly rent housing, residents' occupations, rental housing, the number of household, the location of surrounding public rental housing, monthly average income, children's educational level, the number of children, the types of housing and one's own house, in order, out of the types of housing tenure. (2) The results of the regression analysis of characteristic factors of the conditions of location were analyzed that out of the conditions of location of the top five areas in public rental rates, what influences significant effects on the intention to move in public rental housing is the location of surrounding rental housing, income, the number of household and children, children's educational level, job state, housing types, ones' own house, rent housing, monthly rent housing, in order. (3) In case of Seoul, Expanding public rental housing is inevitable in order to stabilize ordinary people's housing stability, owing to the high and rental prices of private housing. Nevertheless, an accurate analysis of the intention to move in public rental housing has not been conducted. Eventually, the research was, thus, conducted, based on the fact that the preference on public housing is low. According to the analytic results of the study, it is required for the government institutions and agencies should consider individual and local characteristics and provide an alternative that meets the real situation, in order to help ordinary citizens with low incomes stabilize housing.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.140-144
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• 2021

We humans try to pursue a better living environment along with the development of modern civilization. In particular, it is a reality that a lot of efforts are being made to improve food, clothing, and shelter. Among them, the concept of housing serves as a major function to improve the quality of life. However, the government's excessive tax rate regulation policy surrounding the sale of such houses is actually inducing annual or monthly rent expenses. Furthermore, it is a reality that even home sales are not being handled smoothly. In general, the cost of owning a house (apartment, etc.) can be divided into acquisition and possession. In addition, a lot of taxes are borne by long-term housing. Subsequently, due to the increase in the transfer tax rate due to the sale of houses, the disposal of property rights is not free. This serves as a limiting factor for market principles. If the tax rate for the transfer of multi-homed people is raised, it can cause a phenomenon that encourages yearly or monthly rent. This is a part where it seems necessary to reduce the transfer tax rate according to the multi-year retention period. If you hold it for 20 years after acquisition, you have paid a lot of taxes and returned your profits. For that reason, you should not impose a transfer tax for trading. The application of the tax-free principle for houses held for more than 20 years will respond to market principles in the future and will function effectively in annual or monthly rent policies.

• Journal of the Korean Regional Science Association
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• v.14 no.1
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• pp.65-90
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• 1998

Time series data on the size of Chonsei deposit has been estimated. At the end of 1997, that size has been estimated as 112 trillion Korean Won. If the Chonsei system can be moved toward the monthly rental system, it is highly probable to achieve the Pareto imporvement whether there are uncertainties or not. The new system named as the Chonsei system without the Chonsei deposite has been suggested, which can be readily to be introduced. Under this system, the owner can sustain opportunitities of using Chonsei deposit, renters can rent houses whithout the Chonsei deposity and financial intermediaries can secure safe sources of loans, which will increase BIS capital ratio of banks.

• Korean Journal of Social Welfare
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• v.68 no.3
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• pp.29-50
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• 2016

This study examined the determinants of housing affordability using the 2014 fact-finding survey of housing. This study identified the effects of characters of districts as well as the effects of characters of family and housing, taking advantage of HGLM(Hierarchical General Linear Model). The results of this study showed that male householder, higher education level, the monthly housing, higher satisfaction of environment of housing are the factors that increased the odds of living at unaffordable housing, but higher income, public transfer recipient, living at sub-standard housing, the Jensei housing are the factors that decreased the odds of living at unaffordable housing. And the higher housing price, the higher rent of the districts increased significantly the odds of living at unaffordable housing, but the higher rate of public housing of the districts decreased the odds of living at unaffordable housing. This study provides the basis that the price of housing and rent should be controled and the policy of public housing should be expanded for housing welfare.

• Journal of the Korean housing association
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• v.23 no.2
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• pp.125-133
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• 2012

The purpose of this study was to explore characteristics and housing satisfaction of multifamily renter households in metropolitan areas using 2009 American Housing Survey public-use microdata. A total of 8,139 multifamily renter household residing in metropolitan statistical areas were selected for data analysis. The findings are as follows: (1) In comparison with other types of households in the metropolitan areas, multifamily renter households tended to show a smaller household size, younger householders, a greater proportion of households with householders who have never married, or have been widowed, divorced or separated; (2) housing cost related variables such as monthly rent or rent per square footage were found not to have significant influence on housing satisfaction of multifamily renter households in metropolitan areas; (3) factors influencing housing satisfaction of multifamily renter households with householder's age 34 years or younger were neighborhood satisfaction, householder's race, structure age and per-person unit size; and (4) neighborhood satisfaction was found to have the strongest influence on housing satisfaction of multifamily renter households in metropolitan areas.

• The Journal of Economics, Marketing and Management
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• v.10 no.1
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• pp.15-26
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• 2022

Purpose: The purpose of this study is to analyze the method of calculating the usage fee, rent, and lease rights of public goods necessary for the operation and management of the underground shopping mall, and to suggest systematic improvement points for the operation of the underground shopping mall. Data and Methodology: First, ordinances and regulations related to common property were investigated. Second, previous studies were analyzed. A survey was conducted with five questions that conflict with the interests of underground shopping mall merchants among the ordinances and operating systems related to the current underground shopping malls' common property. Results: Underpass merchants wanted monthly payment for the use of common property, and merchant organizations wanted to limit the increase rate with the right to use. They asked for the property value due to donation to be excluded from the loan fee, they wanted to revise the Common Property Act on the transfer of lease rights, and they wanted to revise the loan contract renewal period. Conclusion: There is a need to improve the laws and systems for underground shopping malls, and it will have to be negotiated according to the opinions of the merchants gathered among them, and it will have to be implemented in stages in the long term.

• Korean Journal of Construction Engineering and Management
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• v.20 no.5
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• pp.12-20
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• 2019

This study analyzes and suggests improvement direction for the problems of housing related market laws and policies that cause sudden changes according to the application criteria. These laws and policies include income deduction from housing subscription, monthly rent loan for housing stability, high price house, penalty points from poor quality construction, and real estate brokerage commission. Each has one or more specific values that decide application criteria causing noticeable different results. Benefit or loss can be decided when an application range is changed by a small difference of the application value near to the boundary. This study suggest to use equations instead of a certain values to remove those sudden changes and to make them steadily increasing slopes which can be lines or curves. The concept can be applied to other laws and policies that have significantly different results between criteria.

• Land and Housing Review
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• v.13 no.3
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• pp.57-68
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• 2022

This study investigates what influences the 2030 households' intention to utilize housing support policies for the younger generation. Using the logistic regression model, our empirical results show that the 'the recognition of youth housing support projects', 'the housing occupation', 'employment type', 'housing type', and 'age' factors have a significant effect on the intention to use the housing support policies. Specifically, the intention is positively associated with economic activity, one-room residence, monthly rent, employment status during the Covid-19 period, and policy recognition, while negatively related to age. In addition, willingness to use the housing support policies is greater when respondents lived in a studio, lived on a monthly rent, recognized the policy, and improved their employment status. The results suggest that housing support programs need to be expanded and improved. Moreover, information on housing support policies should be efficiently delivered to eligible households, and more sophisticated housing support policies should be provided for young people early in their careers.

• Journal of Cadastre & Land InformatiX
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• v.51 no.2
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• pp.125-139
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• 2021

Continuous subway line expansion over the years in Seoul metropolitan area has contributed to improved accessibility to public transport. Since public transport accessibility has a significant impact on housing decisions, quantitative analysis of correlation between housing prices and public transport accessibility is regarded as one of the most important factors for planning better housing policies. This study defines the reduction of traveling time resulted from the construction of new metro stations despite them not being the closest stations as 'Network Expansion Effect', and seeks to understand how the Network Expansion Effect impacts on housing prices. The study analyzes monthly rent data converted from upfront lump sum deposit, so called Jeonse in Korea, from 2012 to 2018, through 'A Modified Repeat Sales Model.' As a result, the effect of 'Network Expansion' on rental prices in Seoul has stronger during the period of 2017 to 2018 than the base period of 2012 to 2014, which suggests the 'Network Expansion' has a meaningful effect on rent. In addition, in comparison between the most and the least affected group of apartments by 'Network Expansion Effect', the most affected group has more price increase than the least affected group. These findings also indicate that different levels of 'Network Expansion Effect' have various influences on the value of residential real estate properties.