We explore what factors influence the residential choice and mobility of people, and try to figure out the preferable residential district in Deagu. Household, housing characteristics, and neighborhood environments are considered as explanatory variables to predict the residential choice and the preferable residential district, and logit regression is used for the analysis. We found age, ownership, income, property, and education level as household characteristics, building age as housing characteristics, and accessibility to park and open space, public library and shopping mall as neighborhood environments are significant in determining residential choice of people whereas housing size, accessibility to elementary school, local market, cultural facility and gymnasium are not significant. These results imply people choose the residential district according to household characteristics as they did, as well as choose according to housing characteristics and neighborhood environments which are newly issued factors.
It is a common wisdom that the long-term economic development of Korea chiefly depends not only on the steady increase of the capital formation but also on the stable increase of the national saving. And also it is a widely accepted opinion that household saving plays a significant role for the smooth supply of investment funds. For the empirical analysis on the determining factors of household saving, consumption function of the household of Korea was utilized indirectly. The reason is that consumption function is regarded as a stable function whereas saving function is considered to be an unstable function of the relevant independent variables. In order to carry out the regression process of the consumption functions, data on the family income and expenditure survey and the farm household economy survey was used. The regression result could be summarized as follows : Firstly, household income and the number of the employed in the household have the negative effect in determining the consumption ratio of the Korean households. On the other hand, ages and the educational attainment of the household heads as well as the number of the household members have the positive effect. During the early part of 21st century, the consumption ratio of the Korean households is expected to be decreased because of the increasing trend of household income, and the ever increasing number of the employed member of the household based on the increasing trend of the labor force participation rate of women and the decrease of the average size of the number of household members owing to widespread nuclear family system. On the other hand, the consumption ratio of the household of Korea is expected to be increased because of the continuous increase of the average ages of the household heads caused by the population aging phenomena and improvement of the educational attainment of the household heads. But on the whole, household saving ratio is expected to be increased owing to the secular downward trend of the consumption and therefore no significant difficulties are anticipated for the smooth provision of investment resources needed to have long-term economic progress of Korea.
The multifamily housing has various advantages in construction cost, land-use intensity. KRIHS(1997) recommended the proper scale of th multifamily housing as 800 households in constructability, 1,000 households in facility compactability, 500 households in social aspect. At the early planning stage of project, the size of the multiftmily housing has, until now, been maximizingly considered under the regulation on which has been emphasized at the building volume ratio, land area, etc., except for the expenditure during the maintenance stage. This paper aimed at providing the proper size of multifamily housing in aspect of area and household number with maintenance cost at the early stage of project. For these, it took 곧 average cost function which is made from the 3-rd quardratic form and analyzes the unit increasing rate of the average cost. It surveyed in nationwide focused on the central heating system using diesel and kerosene. The number of samples is 88 and items of management cost is 11. The results are as follows ; first, 3rd-order quadratic function is proper at explaining the cost variation, considering the multicollinearity and statistics. Second, the proper size of multifamily housing is recommended with 83,000 $m^2$ on management area, 820 or over the 2,630 household number in aspect of total management cost.
The purpose of the study was to analyze the constraints that are normally experienced before moving in the context of the household characteristics of households that had recently moved to newly-built apartments. The data for the analysis was collected through a self-administered questionnaire from July 1, 2008 to August 10, 2008. The sample consisted of 251 households in Ulsan living in an apartment complex who had moved within a year. The data from the sample was analyzed by descriptive statistics, factor analysis, and analysis of variance with Duncan's multiple range tests. The results are as follows. The constraints were categorized into information gathering, attractive housing characteristics, expectations of residential mobility, housing development and policies, and resources. Overall, the constraints did not have a huge impact on the performance of the residential mobility of the sample households. Resources, however, were the most influential factors among the five constraints followed by attractive housing characteristics, information gathering, etc. The constraints varied based on the demographic characteristics, such as the household size, duration of marriage, age of the household head, and the socio-economic characteristics, such as the education level of the household head, household income, and the number of mobility. As the number of family members increased, the age of the household head went up, or the level of education went down, the constraints on information gathering were affected in terms of performing residential mobility. Households with a middle aged head with a professional occupation were more constrained by the attractive characteristics of the housing. The impact of the resources related constraints was significantly different based on the number of family members, marriage duration, and the household head's age and occupation, and the number of mobility.
The purpose of this paper is to analyze empirically the tendency of household consumption expenditure according to the change of social and economical condition, and the factor which influences consumption expenditure of urban household. The data used in analysis are time-series. The data are statistic form Urban Household Economy Survey published by the Economic Planning Board, dating form the first quarter of 1970 to the fourth quarter of 1989. The income of household and consumption expenditure materials were deflated as consumer price index to exclude the influence of prices and the influence of household composition are considered to deflated as the size of the household under assumption of homogeneity. The consumption expenditure items were categorized to 12 relatively large range items. The time-series data were analyzed by using the Two Stage Least Squares and the Ordinary Least Squares. The following is the result of analysis. 1) Rather than the income increase of previous years. the average income increase for two years influences more significantly on consumption expenditure of household. In the case of influence on consumption expenditure for each item by increase in disposable income, such categories as furniture and utensils. clothing and footwear, housing, medical care, culture and recreation, and transportation and communication have significant influence. 2) Among consumption expenditure categories, the increasing factors were furniture and utensils, and clothing and footwear. And the decreasing factors were housing, medical care, culture and recreation ,and transportation and communication. The relative prices, however, had significant influence on categories such as housing, furniture and utensils, medical care , culture and recreation, and transportation and communication and all of them were the decreation factors. 3) Among with changes of social and economical conditions, miscellaneous showed the highest increase in marginal propensity to consume and foods was the lowest. Also culture and recreation and housing brought up a great change of the income elasticity of demand.
Journal of the Korean Regional Science Association
/
v.37
no.3
/
pp.19-36
/
2021
This study examined the determinants of change in residential size according to the patterns of residential mobility in the Seoul Metropolitan Area. Particularly, this study examined the upward and downward in residential size, which is emerging as an important factor in the era of increasing non-face-to-face environment. For the empirical analysis, I used 「2018 Korea Housing Survey」 and employed binary logistic regression model. The empirical analysis shows the change of residential size is statistically significant depending on the direction of geographic. In addition, there are differences in the determinants of change in residential size. When people move within Seoul, housing factors, accessibility, age of residents, and the number of household members can be the determinants. When people move from Seoul to Gyeonggi or Incheon, housing factors, safety, gender, and the number of household members work as determinants. On the other hand, when moving from Gyeonggi or Incheon to Seoul, whether it is studio or not, housing type, accessibility, the number of household members, and the disability of homeownership are the determinants. When moving within Gyeonggi or Incheon, housing factors, Accessibility to green areas, safety, age of resident, income, and the number of household members, are the determinants.
A dimension of well-being economic security was analyzed and compared with economic adequacy. Again it was tested whether two indicators of economic security(short-term vs. long-term) yield same distribution across all household groups. Economic Security was defined as the household ability to sustain a given level of consumption in the case of economic emergency; specifically loss of income. Measure of 8 different kinds of economic security were constructed from household net worth including and excluding home equity. Data were taken from the 1988 U.S. Consumer Expenditure Survey and 2148 households were selected to test hypotheses concerning the economic security of American households Empirical results showed a very low level of economic security in general. The first hypothesis that distribution of economic adequacy and economic security are same across all population groups was rejected. On the average security measure rather than adequacy measure was favor to white female-headed households and households who have old and highly educated house-holder. The second hypothesis that the indicators of long-term and short-term economic security yield the same results across all household was not rejected. In general the level of economic security was relatively higher when long-term indicator was used than short-term indicator was however the direction and relative size of effect of income and each control variable was almost same.
The purposes of this study were to examine the time use on weekdays and weekends by the time amount of each activities and compare time amounts of single parent with that of two parents family. So two methods were applied, one was secondary data analysis ,the other was deep-interview. The major findings of analysis of time use were as follows; 1) Mothers in single parent family used significantly less time amount of household labor and family care than them in two parent family 2) Fathers in single parent family used significantly more time amount of household labor but used significantly less time amounts of family care than them in two parent family And 3) Mothers in single parent family used significantly more time amounts of household labor and family care than fathers in single parent family. The results of deep-interview were as follows; roughly the amounts of household labor time, family care time, leisure time were of little quantity and absence of spouse, family size, family life cycle stage, economic condition, sex role identity, psychological factor maybe seemed important.
This study has conducted to develop the computer program for households portfolio management to enhance their financial well-being. The study has divided into two parts. First, descriptive statistics has used to analyze as a basis of computer program and it includes the comparison of household asset allocations between households in Korea and U. S. A., Second, it shows the components of the portfolio program developed to manage households efficiently. For both two countries, recent four years data has been used and in part two, total sample size of households in Korea is 2155. From the statistical analysis, households in U. S. A. tend to invest more on the stock & bonds as their net-asset is increased. However households in Korea tend to have less financial assets and it might be found the fact that they prefer to own real-estate because of the inflation. In the part of computer program, it is included the average financial asset responding to the demographic variables and households could refer those average amount as a reference planning their asset portfolio.
The purpose of this study is to estimate the housing demands in order to address a suitable housing policy for a metropolitan city of Daegu in South Korea. Although the population of Daegu declines, a number of households increase since a number of people per households decrease. Currently a household with four people is a main housing type, however it is expected that a household with one or two increase. In 2017, a household with one will be dominant. Estimating housing sizes and their demand, the households below $60\;m^2$ gradually decline while those over $85\;m^2$ is expected to rise. Nevertheless, the demands for the house below $60\;m^2$ in its size increase at 39.2 per cent. Currently a house with $60\;m^2$ is being constructed. In particular, that of $85\;m^2$ gradually increases. The current trends may result in the widening gaps between the household demand and supply of Daegu. Therefore, it is recommended that relevant local authorities and developers should consider providing various house sizes by taking the current housing demand of Daegu into account.
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