• Journal of Families and Better Life
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• v.33 no.5
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• pp.1-24
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• 2015

The purpose of this study was to investigate the effects of Engel coefficient, Angel coefficient and Schwabe index influencing Household head's life satisfaction. For this study, the data from the 8th analysis of the 2013 Korea Welfare Panel Survey conducted by Korea Institute for Health and Social Affairs were used. For the sample, 903 male Household heads with children under the age of 18, were selected. For statistical analysis, SPSS program (Ver. 21.0) was used. And for statistical methods, frequency and percentile, mean and standard deviation, Pearson's correlation, one way analysis of variance, Duncan's multiple range tests, multiple regression analysis were used. The findings are as follows. First, as a results of analyzing the food costs, education costs and housing costs depending on Income Quintile, the food costs and education costs in the 5th Income Quintile compared with other Income Quintile, were highest. Also, the highest housing cost was in the 2nd Income Quintile, while the least housing cost was in the 1st Income Quintile. Second, by analyzing the differences of Engel coefficient, Angel coefficient and Schwabe index according to Income Quintile, the results show that Engel coefficient and Schwabe index decreases as Income Quintile increases, and Angel coefficient increases as Income Quintile becomes higher. Third, the level of HH's life satisfaction according to Income Quintile, 1st Income Quintile, 2nd Income Quintile, 4th Income Quintile, 3rd Income Quintile, 5th Income Quintile in order, increased. Fourth, as the result of analyzing the influence of Variables related to household and demographics about Engel coefficient, Angel coefficient and Schwabe index, it was shown that the variables effecting Engel coefficient, Angel coefficient, and Schwabe index are age, occupations, Number of workers, House ownership, Income Quintile. Fifth, As a result of analyzing the Variables effecting life satisfaction, especially while Schwabe index is not that significant, Engel coefficient and Angel coefficient are shown to have a significant influence. Therefore, the influence of Food costs and education costs can be confirmed.

• Asia-Pacific Journal of Business
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• v.15 no.1
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• pp.87-98
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• 2024

Purpose - The purpose of this research is to explore the determinants of marriage intention for Korean youth. Because Korean society is under the population decline, inspecting influential attributes become worthy. Design/methodology/approach - This study employed Korean Youth panel data. The determinants of marriage intention include subjective health, leisure time, Schwabe index, culture recreation ratio, and Engel coefficient. This study performed binary logistic regression to test the hypotheses. Findings - The results indicate that subjective health and leisure time positively impact on the likelihood of marriage intention. However, culture recreation ratio and Engel coefficient negatively affect the likelihood of marriage intention. Schwabe index exerts no significant effect on marriage intention. Research implications or Originality - The results could become useful information to build policy to solve the population decline problem

• Journal of the Korean Home Economics Association
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• v.8 no.1
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• pp.181-197
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• 1970

Farm households consumption pattern from 1960 to 1968 was analized as follows. First, the influence of the price on the consumption pattern was observed by year for 9 years. Second, the influence of farm households and by size of the consmption pattern was analized by year for whole household and by size of the arable land. Third, the present status and problems of farm families consumption pattern was attempted to be found out compared with the pattern of all families of Seoul. Forth, the pattern of food expenditure which has the largest proportion in the living expenditure was analized. Following results and conclusions are obtained from the above analysis.1. The average nominal increase rate of all farm households has been increased gradually for 9 years, mostly due to the rise in household goods prices paid by farmers. 2. The living expenditure varies with the price and the disposal income, The influence of the latter is greater than that of the former. 3. The Engel's Coefficient of farmers. the average of which was 54.9%, recently tends to decrease gradually. The larger is the size of arable land, the lower is the Coefficient of farm households. But the Coefficient of farm households is higher than that of city families. 4. In general the proportion of food expenditure has a great influence on the consumption pattern, The average percentage of miscellaneous expenditure is 23.9% and it is next to food expenditure. The relationship between them is going reversely. Housing expenditure has usually the constant proportion. But the difference of the proportion between farm households (4.0%) and city families (17.1%) is considerable. Clothing expenditure and fuel and light expenditure have small variations. The former tends to increase with the income, and the latter tends to decrease with it or is constant. 5. Considering the food expenditure pattern, the average percentage (78.4%)of staple food of farm household is remarkably high compared with Seoul (48.3%) and other cities (54.0%). The decrease of the percentage of staple food expenditure in farm households is not so much as cities. 6. The propertion of the staple food expenditure of Farm families don't have so much differences by the size of arable land. But the rice proportion of staple foods has the tendency to increase with the income level. Subsidery food expenditure doesn't increase by year and by size of the land, while the consumption of meat and manufactured foods tends to increase with size of the land. But even big farm households don't reach to the level of cities in consumption of them. 7. Food consumption pattern may be influenced by the factors such as the knowledge of wife about nutrition, customs, consumption habits, and so on. The difference between farm households and city families in food consumption pattern is inferred from the above factors. Presently, the increasing income of the people promote the consumption of all items of living expenditure both in cities and farm households. But the Engel's Coeffcient and the proportion of the staple food expenditure is expected to decrease in farm households more than in cities.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.19-19
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• 2011

The appraisals of hydrology model behavior for flow and water quality are generally performed through comparison of simulated data with observed ones. To perform appraisal of hydrology model, some criteria are often used, such as coefficient of determination ($R^2$), Nash and Sutcliffe model efficiency coefficient (NSE), index of agreement (d), modified forms of NSE and d, and relative efficiency criteria NSE and d. These criteria are used not only for hydrology model estimations also for various comparisons of two data sets; This NSE has been often used for SWAT calibration. However, it has been known that the NSE value has some limitations in evaluating hydrology at watersheds under monsoon climate because this statistic is largely affected by higher values in the data set. To overcome these limitations, the SWAT auto-calibration module was enhanced with K-means clustering and direct runoff/baseflow modules. However the NSE is still being used in this module to evaluate model performance. Therefore, the SWAT Auto-calibration module was modified to incorporate alternative efficiency criteria into the SWAT K-means/direct runoff-baseflow auto-calibration module. It is expected that this enhanced SWAT auto-calibration module will provide better calibration capability of SWAT model for all flow regime.

• Journal of the Korean Home Economics Association
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• v.35 no.2
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• pp.81-94
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• 1997

The purpose of this study is to identify the possibility of unemployed married women's economic activity by analysing their willingness to work and possible influencial factors on it. This study estimates the effects of independent variables on the dependent available by using Binomial Probit Model. sample are 592 two-parent households. The results of this study are as follows ; The percentage of unemployed married women's willingness to enter into the labor market is 25.2%. Among the variables which have affected their willingness are family variables(family size, the number of children and the existence of children under the age of 6), personal variables(the age, education level and the past working experience) and financial variables(non-wage income, Engel's coefficient, expenditure o leisure activities and the subject judgement of their financial status). It is hard to accept those women's low willingness as is since the most crucial statistically was especially the children of 6 or less among the family variables. That is to say, more favorable conditions of the labor market and inexpensive day-care centres available would certainly encourage married women to be more willing to participate in economic activities as employees.

• Korean journal of food and cookery science
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• v.6 no.4 s.13
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• pp.41-50
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• 1990

This study aimed to investigate the change in food balance and dietary patterns, caused by the growth of per capita GNP during $1962{\sim}1987$. For the purpose of this analysis, ordinary least square (OLS) was adopted. Per capita GNP was independent variable and the other factors dependent variables. The other factors included Engel coefficient, food supply, energy supply, nutrient intake and the ratio of self-supply of food. The result revealed that the some variables have (+) correlation, the some variables (-) correlation and the other variables no correlation with per capita GNP. If forecasting models are designed with these results, it will be helpful for national health and nutrition, food balance and disease prevention.

• Journal of the Korean Society of Food Culture
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• v.5 no.4
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• pp.481-485
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• 1990

This study is designed to forecast the characteristics in food consumption patterns under per capita GNP growth. Ordinary least square(OLS)method was employed as analyzing technique. Equation was $Y=a_0+a_1X$, in which X was per capita GNP and Y were Engel coefficient, food supply, energy supply, nutrient intake and ratio of self-supply of food. The result obtained indicates that the intake of nutrient such as protein and fat will be increased, and wheat, corn and legume are expected to be imported wholly due to lower ratio of self-supply, and rice will be over-supplied continually. Therefore, the relevant policy of government must be established in the field of supply and demand of food, and the research of sound national health should be done.

• Journal of the Korean Home Economics Association
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• v.36 no.1
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• pp.129-142
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• 1998

The purposes of this study were to identify education expenditure and to analyze contributing factors to total education expenditure for two children among married couples. For these purposes, total sample of 1,256 married couples those having two children of both pre-school aged and school aged were selected, and total sample was divided into four groups by first child's school aged; those were pre-school aged(375), elementary school aged(385), middle & high school aged(248) & college aged(248). Statistics used for the analysis were frequencies, means, percentile, and tobit and OLS analysis. The results were as follows. First, the households those having the first child of pre-school aged didn't spent for public education expenditure, while public education xpenditure of school aged increased continuously. The households having the first child of high school aged spent the most private education expenditure among four groups, however, total education expenditure of the households having the first child in college aged spent the most education expenditure were household head's age, family size, home ownership and financial asset amount, and elementary school-aged's factors were household head's age, education level, home ownership and total household income. Also, household head's education level, wife's expectation of future economy, residence, total household income had significant effects on total education expenditure in middle and high school-aged, and household head's job, home ownership, contact with neighborhood, residence and Engel's coefficient were significant variables in college aged.

• Journal of the Korean Society of Food Culture
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• v.16 no.2
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• pp.73-80
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• 2001

The objective of this research were to investigate the evaluative criteria and sub-factor in terms of food preparation and eating for the housewives and cooks in Ulsan Metropolitan City. 217 full-time housewives and 129 cooks were surveyed for this research. The cooks evaluated preference, cooking time, taste, food color, food temperature more important than the housewives. The evaluative criteria in food preparation and eating was consisted of 4 factors; the eating atmosphere factor, the preference factor, the quality factor and the table setting factor. There was a significant mean difference of the eating atmosphere factor between men and women. There was a significant mean difference of the preference factor between marital status, age, Engel Coefficient, educational level and occupation. The quality factor was varied from sex, marital status and occupation.

• Journal of Nutrition and Health
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• v.14 no.2
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• pp.87-96
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• 1981

This report was the result of Food and Nutrition Intake Survey of 210 adults of 43 rural households in 7 villages located on Kyung Nam, Korea. It was intended to provide baseline information on the nutrintional status and inequality, the change of food consumption pattern of different rural socioeconomic classes. The survey results were as follows; 1. All the nutrient intakes(except Ca) were above RDA in landlord classes, but those were extremely poor in tenancy and rural laborer classes. Ca was the most deficient nutrient in all classes. 'Vitamin A' was deficient in most of the classes. 2. In per capita food consumption expenditure, the highest was in landlord class, next capitalist farmer and middle class farmer, the lowest were rural laborer and tenancy. There were highest consumption of vegetables and fish in landlord class, and milks and oils in capitalist farmer. The consumption of rice fruits, meats, eggs, and seasoning were relatively proportionated to the income. 3. In the change of food consumption, the most increased items were beverages and meats in capitalist farmer, fish and fruits in landlord, rice in the other classes. 4. In the correlation with food consumption, education level showed the highest correlation with meats, oils, and in contrast, land sire showed the highest correlation with cereals. Engel's coefficient was positively correlated to cereals, but negatively correlated to fish and meats.