• 산경연구논집
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• 제7권3호
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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.

• 융합경영연구
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• 제12권3호
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• pp.23-33
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• 2024

This study aims to enhance the accuracy of effective demand analysis for publicly supported private rental housing by integrating the RIR into the traditional Mankiw-Weil (MW) model. Traditional models like the M-W model, which account for household income, housing costs, and household size, often fall short in estimating demand driven by large-scale development projects. By integrating the RIR factor, this study introduces a more accurate and practical approach to analyzing effective housing demand. Findings show that the modified M-W model incorporating RIR predicts effective demand with greater precision than traditional methods. This advancement allows developers to plan projects more efficiently and aids governments and local authorities in implementing more effective housing policies. Furthermore, the study assesses the real housing cost burden on households, elucidating their capacity to pay housing costs based on household size and income quintile. This information enables policymakers to design targeted housing support policies for specific demographic groups. Additionally, the research provides comprehensive policy recommendations tailored to various regions and housing types. Overall, this study lays a vital groundwork for the long-term analysis of the effects of economic changes and housing market trends on effective demand.

• 아태비즈니스연구
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• 제15권1호
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• pp.239-256
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• 2024

Purpose - The purpose of this study was to examine the main determinants of the gap between housing demand and house affordability. Design/methodology/approach - This study used the micro-level data of 60,043 households from Korea Housing-Finance Corporation by covering the period 2011 to 2022. Findings - First, the trend of general housing demand showed a higher figure in the future demand than in current demand. And such a tendency showed in all types of households, a relative young, low income, and single households. In the case of current housing demand, it has increased by 2022 from the beginning of 2013, while the future demand has rapidly increased from 2020. Second, although the house affordability showed a higher figure in current housing demand by 2019, its trend changed to be higher in future housing demand from 2020 by a rapid decreasing affordbility in current demand. In the case of young householders, the current house affordability was higher than that of future. The figure of low income householders was below 1 point in both periods, and house affordability of single householders showed a similar level in both periods. which showed over 1 point. Third, financial regulation on housing markets induced th widening of the gap between housing demand and house affordability, and such a trend is much atronger in the future(potential) gap of demand and affordability. More specifically, the strengthen financial regulation leaded to the widening of the gap in all types of households, a relative young, low income, and single households. Research implications or Originality - The effect of financial regulation is necessary to consider under the features of each households.

• 한국농촌건축학회논문집
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• 제19권3호
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• pp.33-41
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• 2017

Recently, it is recognized that the increase of return farmers is an important task to revitalize rural areas. There is a growing need to improve the housing environment in rural areas by expanding rental housing supply in order to increase return farmers. The purpose of the study is to forecast the rural rental housing demand based on the questionnaire survey and to suggest the rural rental housing supply in the public sector. The rural rental housing demand consists of demand for rural residents and demand for return farmers. The survey was conducted for rural residents and potential return farmers. The rural rental housing demand was analyzed by using prospect of rural residents and return farmers in the future and the rate of intention to move into rural rental house derived from the survey. In this study, rural rental housing demand which does not take into consideration the rent level and rural rental house demand considering it are presented respectively.

• 가정과삶의질연구
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• 제5권2호
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• pp.65-82
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• 1987

Product characteristic approach and hedonic method were explained and applied to demand behavior of housing for 360 households sampled from four districts of Seoul. Th major findings are: 1) Housing prices are determined by housing characteristics, i.e., basic structure, interior space, interior quality, and neighborhood quality. 2) as income increase , the demand for basic structure, interior space, interior of quality, and neighbor hood quality increases. As compared to the counties that have advanced housing financial systems, income elasticity form housing characteristics was low. 3) householder's educational level has insignificant effects on the demand for neighborhood quality. 4) the housing need of family is different to a family life cycle. In the first stage, the increase of income enhances the demand for basic structure. interior space, and interior quality, but inversed with neighborhood quality. In the second and third stages, the demand for basic structure, interior space, and interior quality increases as the income increases. 5) It is predicted that the larger the family size, the more housing space is required. But in the low-income group, an increase in family size results in a decrease in the demand for interior space because expenses for food and education are indispensable ones. In the middle -income group the demand for interior space, interior quality increases as the family size increases, In the high-income group, the larger the family size the more interior quality is demanded. As mentioned above, the demand for housing is derived form characteristics and the demand behavior far housing characteristics is varied with individual household's characteristics. Therefore, the fact that different housing needs according to various income groups should be considered in housing policy.

• 한국주거학회논문집
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• 제15권5호
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• pp.51-58
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• 2004

After 1980's, the ratio of car possessions has been increased rapidly. Nowaday, most large cities have suffered a lot of problems about traffic and car parking. Specially in apartment complexes, they have parking problem which is caused by the parking demand. The ratio of parking demand at multi-family housing sites has been increased significantly, therefore several parking problems have occurred. The goal of this study is to investigate the parking demand per housing unit size of apartment complex in Daegu city. The results of this study is as follows. (1) The parking demand of 60 $m^2$ below sized housing unit is 1.09 car per the unit. (2) The parking demand of 60 $m^2$ over 85 $m^2$ below sized housing unit is 1.31 car per the unit. (3) The parking demand of 85 $m^2$ over 135 $m^2$ below sized housing unit is 1.74 car per the unit. (4) The parking demand of 135 $m^2$ over sized housing unit is 2.10 car per the unit.

• 한국주거학회논문집
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• 제14권6호
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• pp.41-50
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• 2003

The parking problem is caused by the parking demand. The ratio of parking demand at multi-family housing sites has been increased significantly, therefore several parking problems have occurred. The goal of this study is to investigate the parking demand per housing size of public-sized apartments, and to prepare that with the architectural regulations about parking supply. According to the results of this study, the parking demand of the small size housing unit(exclusive size：60 $m^2$ below) shows 1.09 car per the unit. and that of the medium size housing unit(exclusive size：60 $m^2$ over 85 $m^2$ below) shows 1.34 car per the unit. The parking demand of the small size housing unit was exceeded 56% more than the legal supply limit, and the parking demand of the medium size housing unit was exceeded 34% more. It is means that the level of architectural regulation about parking supply was not enough than the parking demand. So, it needs recon-sideration about the architectural regulations of parking supply.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.44-48
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• 2015

Housing price is a key indicator of housing demand. Actual Transaction Price Index of Apartment (ATPIA) released by Korea Appraisal Board is useful to understand the current level of housing price, but it does not forecast future prices. Big data such as the frequency of internet search queries is more accessible and faster than ever. Forecasting future housing demand through big data will be very helpful in housing market. The objective of this study is to develop a forecasting model of ATPIA as a part of forecasting housing demand. For forecasting, a concept of time shift was applied in the model. As a result, the forecasting model with the time shift of 5 months shows the highest coefficient of determination, thus selected as the optimal model. The mean error rate is 2.95% which is a quite promising result.

• 지역연구
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• 제6권1호
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• pp.39-55
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• 1990

The principal measure of housing demand is income and the preferences expressed by households through their respective indifference curves. In this context, housing essentially becomes a derived demand, i.e., the household consumes land and a location (or distance-in time and money costs), according to its relative preferences for space, accessibility, and all other nonhousing goods. This paper attempts to deal with both aspects of housing (apartment) demand and household mobility in the Seoul Metropolitan Areas. Housing services will be measured using hedonic regression technique. From observations on the market prices of dwelling units and on the underlying characteristics of housing, one can estimte the relationships between the two empirically. In predicting the probability of the future moves into new towns in the Seoul Metropolitan areas, the best predictors of the future moves into new best predictors are found to be the degree of satisfaction not only with the current residence as a whole, but with some of the major amenities, accessibility and child education. The reasons for moving into new towns are diverse depending on the households' current situation; the most frequently cited is "improvement of housing conditions," followed by "improvement of living environment," "asset improvement" and "home ownership". It appears that people move houses because of a dissatisfaction with their current housing status, relative their income or needs, or a desire to improve their housing and neighborhood amenities, or both. On the other hand, it is clear that the development of new towns in the Seoul Metropolitan Areas should be based on the analysis of housing demand and the pattern of household mobility in Seoul housing market.sehold mobility in Seoul housing market.

• 대한건축학회논문집:계획계
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• 제35권1호
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• pp.11-18
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• 2019

There is a growing demand for public rental housing since housing price increased rapidly and socially vulnerable people need more stable housing. The purpose of this study is to investigate housing evaluation (satisfaction), moving plan, and residential service according to the type of the public rental housing and the characteristics of the resident, and to suggest the development direction for comprehensive housing services including the community level. Data used for analysis in this study are from 2016 Seoul panel survey of public rental housing residents. A total of 3009 questionnaire from public rental households were collected in 2016 Seoul panel survey. In order to investigate housing requirements, we analyzed household characteristics, housing satisfaction, moving plans, welfare services, residential activities and community facilities, social environment. In this study, the difference of residential satisfaction, moving plan, and residential service according to the type of the public rental housing and the characteristics of the resident is analyzed to identify their housing demands. As a result, there were differences in residential satisfaction, moving plan, and residential service depending on type of public rental housing and characteristics of residents. Residents in public rental housing modified from the multi-family housing after purchase showed lower residential satisfaction, and higher intention for moving plan compared to residents living in other type of public rental housing. In the residential service, residents in permanent lease type have higher experience of housing service as well as demand on housing service. Especially single household, elderly household, female household, or household with handicapped person indicated higher demand for housing services.