• Korean journal of food and cookery science
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• v.7 no.2
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• pp.51-74
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• 1991

It has been many changes in traditional Korean food habits according to the improvement of household income levels and the rise of standard of living. Therefore, the pattern of consumption in animal origin processed/convenient foods would have changed. This research aims to find the tendency of consumption in some animal origin processed/convenient foods compared with typical Korean traditional foods according to household income levels. Therefore, this survey was made on 698 children from 10 elementary schools located in Seoul. They were divided into 6 groups according to their household income levels. The data were analysed using Chi-square test and F-test in SPSS package program. From this research, the following results were obtained: 1. Their average monthly household income levels were between 500, 000~1, 500, 000 won(64.2%) and their family were of mostly 4~5 members. There were no significant differences in children's physical status among various income groups. As the household. income level increases, the food expenditure per month increases and Engel's coefficient decreases. 2. The animal origin processed/convenient foods that have no significant differences are ham, sausage, milk, yogurt, canned fish, and fish meal. The high-income groups preferred bacon, cheese, pork cutlet, and fried chicken, compared to those of low-income groups. The low-income groups preferred crab-flavored meal, compared to those of high-income groups. 3. In some Korean traditional foods, there were significant differences according to income levels. Those were Bulgogi, baked fish, fried meat, cooked fish and meat with soy-bean sauce. Fried fish and anchovy have no significant differences in food intake frequency according to household income levels. Chicken and egg saute are liked by children in every income groups. 4. Between the animal origin processed/convenient foods and the typical Korean nonprocessed traditional foods, children preferred the former regardless of income levels. In conclusion, animal origin processed/convenient food consumption patterns were not affected by household income levels.

• Korean Journal of Human Ecology
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• v.14 no.4
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• pp.613-629
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• 2005

This research analyzes household financial structures and ratios to understand factors of household utility. Its main themes are as following: First, what kinds financial structures are found at each level of income? Second, how are they different by the level of income? Third, what factors contribute to appropriate financial ratios? The themes are supported by the texts on financial ratios from both inside and outside of Korea and proved by the Korean Labor and Income Panel Survey, the fifth annual edition. The households are exempted that do not support the household principle record in the principle and household economy record. Accordingly, this survey is from a financial structure analysis of 3,762 households. The analysis utilizes SPSS Window (Version 10.0) program. The following are the results: First, the income level 4 and above, in which the increasing number indicates a higher level of income, are highly ranked on the income-expense level and the asset-debt rate. Also, level 4 has a strong financial structure, whereas level 1 does not. Apparently, the management of the household is complicated by debt redemption and a lower level of assets. Second, Ratio 1, Ratio 2, Ratio 4, and Ratio 5 are different by the level of income. Third, the level of income contributes to the appropriate financial ratio. The financial safety and prospective financial structure at each income level is an important variable. Households with a high income, in particular, have to balance their finances and capital, reducing liabilities and increasing the total assets. In other words, the family must hold assets to enhance efficiency according to the character and income level of the household. This research is a useful resource for such a decision-making as to improve household financial structure stability. Also, it can be adopted to evaluate financial products for specific households and be used for economic and social welfare planning to predict how households influence the nationwide economy.

• Journal of Korean Society of Rural Planning
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• v.12 no.3 s.32
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• pp.81-95
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• 2006

The objective of the this study is to find a way to increase fm household income through investigating their computer applications. We utilized the 2000 Korea Agricultural Survey data and applied a Heckman Selection Model to correct a selection bias. The present study found the following results. First, determinant of income among fm households by the level of computer applications has significant statistical differences based on their choices of computer applications. Accordingly, the application of general linear regression about fm income without adjusting these choices may cause statistical fallacy. Second, it has been reported that increasing the member of household is not directly related to increasing the fm income. In case of computer-own farm household, the effect of decrease in income according to increasing in age was predicted. However, in the fm household not possessing computer, it shows negative relationship. It shows that an agricultural career of farm owner and educational attainment of all farm household members have positive relationship regardless of computer possession. The income of the farm household those main field is not agriculture is also found to be lower than that of farm household whose major earnings come from agriculture.

• KDI Journal of Economic Policy
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• v.26 no.1
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• pp.105-140
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• 2004

Korea is entering the class of aging population nations. This paper investigates the extent demographic factors and the aging population affect the saving rate, using an extended life-cycle/permanent-income hypothesis on saving. The results of the tests with Korean household survey data from 1977 to 2002 reveal that real saving rates increase when the duration of lifetime and per household real disposable income rise, and decrease when the growth rate of income and net worth-to-GDP ratio rises. The growth rate of per household real disposable income has negative effects, suggesting that households calculate their life cycle income in a forward looking manner. The elasticities with respect to a change in the lifetime horizon and the growth rate of per household income are 0.58 and -0.03, respectively. A one percent rise in the net worth to GDP ratio reduces the saving rate by 0.3 percent. A one percent rise in per household income increases it by 0.33 percent. The younger-age and the elder-age dependency ratios have insignificant effects on the household saving rate behavior. When Korean life expectancy rises, the private saving rate declines modestly and the government saving rate declines substantially. The economy's real net saving rate declines from 33 percent in 2002 to 30 percent by the year 2030.

• Journal of the Korean Home Economics Association
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• v.34 no.5
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• pp.99-114
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• 1996

The purpose of this study was to identify the factors associated with the decision making of family vacation as a active leisure. The sample in this study consisted of 1,616 Korean married couples and household head had a salaried job. Statistics employed for the analysis were frequencies, means, porbit and tobit analysis. The results can be summarized as follows. First, the unearned household income, the number of formal vacation types had positive effects on whether the family decide their vacations or not, while car ownership had negative effect on int. Second, the wife's satisfaction of economic status, household earned income, total household expenditure-to-total household income ratio, and car ownership were significantly related to the days of family vacations. Third, husband's and wife's education attainment, household earned income, total household expenditure-to-total household income ratio, and living region were important variables for the family vacations' expenditures.

• Journal of Korean Society of Forest Science
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• v.109 no.1
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• pp.99-108
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• 2020

Although the relationship between income and income inequality has previously been discussed, the present study applies a dynamic approach to analyze the specific relationship between forest household income and income inequality. For this analysis, a unit root test and a cointegration test were conducted to characterize the nature of income time-series data. After converting unstable time-series data into stable time-series data, a VAR model was estimated. Based on this model, an impulse-response was generated and variance-decomposition analysis was performed. These analyses showed that the effect of forest household income was relatively larger than that of the Gini coefficient, and that the impact of forest household income not only caused income to increase but also caused the Gini coefficient to decrease. In addition, the impact of the Gini coefficient had an impact on reducing forest household income and further increasing income inequality. We conclude that, with the aim of alleviating the inequality of forest household income, an income growth policy would be more effective than an income distribution policy.

• Journal of Family Resource Management and Policy Review
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• v.14 no.1
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• pp.135-159
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• 2010

The purpose of the study was to investigate the characteristics and economic status of deficit households compared to surplus households. Data from The Household Income and Expenditure Survey 2005 by NSO and 50, 207 salary/wage earners' households were used for the analysis. The statistical methods used were GLM, logit, and cluster analyses. The analysis results showed that 25.3 percent of the households were deficit households. Approximately half of the lowest 20% income group were deficit households. Income deficit households earned 1, 273 thousand less than that of surplus households, whereas consumption of deficit households was 1, 006 thousand more than that of surplus households. The average propensity of consumption of deficit households was 142.1. According to the logit analysis, factors contributing to the probability of belonging to a deficit household included income level, household size, age and educational level, occupation, homeownership, car ownership, and wife's employment status. Deficit households were classified into 5 types: 1) health care expenditure-dominated group, 2) housing expenditure-dominated group, 3) education expenditure-dominated group, 4) money transfer-dominated group, and 5) overall-overconsumption group. The overall-overconsumption group was the largest group of all at 58.5%. It was found that for all five groups, the changes in household size, income group, home ownership, and occupation of the individual were variables that influenced the probability of belonging to a certain group.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.625-633
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• 2017

The purpose of this study is to investigate the effect of private insurance revenues and household spending on household income inequality. To this end, we conducted a concentration index and concentration curve analysis for the income level of medical panel survey data in 2015. The main results are as follows. First, the household income concentration ratio is 0.3580, which means that income is concentrated in the high income group, and the degree of inequality is considerably large. Second, although the portion of the private insurance benefits was small on the high-income household, it helped to strengthen the benefits concentration on this group. Third, the low income group has a large self-pay medical expense. Finally, the index of the income excluding the burden of the total medical expenses in the household income was 0.3676, so that even accounting for medical expenses, the income was concentrated in the high income class. Therefore, private insurance benefits and medical expenses were all contributing factors to the inequality of household income, and this study provides the essential materials for research and policy planning which could lead to the convergence of different fields.

• Journal of Families and Better Life
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• v.9 no.2
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• pp.119-135
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• 1991

The purpose of this study is; 1)to identify the overall levels of household role perception, performance, and evaluation of the low-income employed wives residing in the city. 2) to investigate the relations of them. 3) to examine the factors affecting them. For the purpose of this study, the samples were selected form the low-income employed wives living in the poor area of Seoul and engaging in the poor jobs. The significant results are as follows; 1) The household role perception score is 3.45. This significantly differs to the marriage duration. 2) The household role performance is 3.65. This significantly differs to the communicative satisfaction between husband and wife. 3)The urban low-income employed wives have evaluated that they do their best in the economic role. 4)There are positive correlations between the household role perception and the household role performance of the low-income employed wives. 5) The communicative satisfaction between husband and wife is observed to have the significant factor among the variables which are related to the household role.

• Journal of Agricultural Extension & Community Development
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• v.30 no.4
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• pp.229-241
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• 2023

This study aims to examine the farm household income and consumption structure change as well as farm income inequality. Data from the Agricultural Household Survey for the years 2016, 2021, and 2022 were hired to analyze farm income inequality by the Gini coefficient decomposition method. Results show that from 2016 to 2021, all income quintiles exhibited an increasing trend, but in 2022, income decreased across all quintiles. As a result of analyzing farm household consumption expenditure, consumption expenditure increased in all income quintiles in 2021 and 2022 compared to 2016, but consumption of optional goods decreased in the fifth quintile. In addition, it was found that farmers in the first quartile had higher consumption expenditures and expenditures on options than those in the second quartile. The analysis of farm income by region show that public subsidies increased significantly for general rural farmers than for farmers in special and metropolitan areas in all income quintiles during the period. In the case of the first quintile, farm household income in rural areas in special and metropolitan cities increased compared to general rural areas. In the fifth quartile, agricultural income and sideline income in general rural areas increased compared to rural areas in special and metropolitan cities, while rural areas in special and metropolitan cities increased non-business income compared to rural areas. Results of farming income inequality by income type show a steady decline in inequality from 2016 to 2022, indicating that the decreasing gini coefficinet of public subsidies is contributing to the decline in farm income inequality. Private subsidies and side income are shown to increase inequality.