• Journal of the Korean Regional Science Association
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• v.9 no.2
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• pp.27-40
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• 1993

Most studies on regional economic impact have utilized employment or employment income data. Recently, a few scholars have noticed the importance of nonemployment income sources in urban economies. Using decennial census data on Arizona towns from 1970 to 1990, this paper first examines the increasing importance of nonempolyment income sources in urban economies and the associations of nonemployment income sources with elderly population and metropolitan location. Then, this paper investigates the impact of nonemployment income on urban growth in the framework of economic base model. The regression results show that the impact of nonemployment income is significant in the increase of nonbasic income and becomes greater over time, and that the impact of transfer over time, and that the impact of transfer income on nonbasic income of transfer income on nonbasic income is stronger in smaller towns and the impact of investment income is stronger in larger towns.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.191-199
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• 2015

This paper studies the composition of income sources of the elderly and the difference of sources of income by the elderly characteristics. First, the results of analysis on the structure of sources of income show the average income of the elderly appears 7.7million won the consists of 3.0million won from market, 2.5million won from nation, 2.2million won from family. Income sources of the elderly are dependent on business income, property income, earned income in the market. Second, the results of differences analysis in demographic characteristics, men get a lot of income through the market and nation, while women get through families. Market income is high younger and family income is the more older. Depending on where you live, family income and national income is higher relatively urbanized. Third, the results of analysis by depending on the income, level of national income and market income is higher, while family income is high-income the case less income. Fourth, differences in health status by analysis of the sources of income have higher levels of health status and market high and lower income families rely heavily on the private sector, such as can be seen. Therefore, market and family income is higher than another countries. and the complement of public income support system is required for vulnerable people.

• Korean Journal of Social Welfare Studies
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• v.45 no.3
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• pp.71-95
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• 2014

The purpose of this study is to examine the effects of household income types and sources on the depressions and self-respect of the old aged. Although household income types and sources are supposed to be important to the mental health of the old aged as well as income level, there have been little policy interests to them. This study analyze the relationship between the household income types & sources and the mental health of the old aged, using the 8th data from the Korean Welfare Panel Study. Major findings are as follows. First, we find that there are considerable variations in the household income sources composition among the old aged, and that types of household income are related to the individual and family features of the old aged. Second, the results of regression analyses show that the household income types are associated with the depression and self-respect of the old aged. And, we find that some income sources affects the mental health of the old aged. The results of this study suggest that there should be policy attentions to the mental health effects of the household income sources so as to increase the adequacy of the income security system for the aged in Korea.

• The Journal of Fisheries Business Administration
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• v.45 no.1
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• pp.17-31
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• 2014

This study examines trends in the overall income inequality of fishery household from 2003 to 2012 with the panel data of the Fishery Household Economy Survey. To investigate the potential determinants of income inequality, we decomposes the Gini coefficients into five income sources, fishery income, non-fishery income(non-fishery business income, non-business income), transfer income, irregular income and calculate the impact of each income sources on total income inequality. An evident trend toward increasing inequality of household income was found. Also, we find rising fishery income and non-fishery income play important role in the rapid increase of income inequality. Only transfer income appear to reduce total income inequality.

• Forest Science and Technology
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• v.14 no.4
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• pp.192-203
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• 2018

This study analyzed the distribution of forest income and other variable sources of rural household income and considered their importance for the reduction of income inequality and poverty. We employed Gini decomposition to measure the contribution of forest income and other sources of income to income equality and assess whether they were inequality-increasing or inequality-decreasing in the 14 villages. The forest income Gini correlation with total income was very high, $R_k=0.6960$, and the forest income share of total rural household income was 35% ($S_k=0.3570$). If the income earned from forest activities was removed, the Gini index would increase by 10.3%. Thus, if people could not access forest resources because of vast deforestation, perhaps from the limitations of government-managed forestry, unplanned clearing of forest land for agriculture or the granting of ELCs, there would be an increase in income inequality and poverty among rural households. The findings suggest that policy makers should look beyond agriculture for rural development, as forest resources provide meaningful subsistence income and perhaps contribute to both preventing and reducing poverty and inequality in rural communities. The study found that non-farm activities were inequality-increasing sources of income. The share of non-farm income to the total rural household income was $S_k=0.1290$ and the Gini index of non-farm income was very high, $G_k=0.8780$, compared with forest and farm income. This disagrees with other studies which have reported that non-farm income was inequality-decreasing for the rural poor.

• STI Policy Review
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• v.7 no.2
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• pp.1-15
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• 2016

This study provides empirical evidences for the relationship between income inequality and economic growth, and relationship of income inequality with some of explanatory variables such as technological innovation, trade globalization, financial globalization and fiscal policy. We find out that income inequality has an adverse effect on economic growth, showing its dynamic features, for which we employed the polynomial distributed lags (PDL) model. The effect of income inequality on economic growth lasts over 9 years, and its dynamic effect peaks after 4 years. In addition, we also attempted to find out empirical evidences of sources of income inequality. The results show that income inequality is positively related to technological innovation, financial globalization, and fiscal policy; negatively related to the trade globalization. Many studies employ cross-country data, but it could have serious problems in collecting statistical data. Korean data is used over the time period of 1990-2015 in this study.

• Korean Journal of Social Welfare
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• v.54
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• pp.321-345
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• 2003

Aggregate income stability depends heavily on labor market institutions that stabilize or de-stabilize earnings. But, with the expansion of sate welfare programmes, public income transfers are also important sources of income stability for individual and families. Moreover, income stability is determinant factor of individual and family well being, there are another strategies of income stability in society. Family-based and community-based strategies are particularly important. Accordingly, the distribution of income stability in a given society depends on such institutional arrangements as market, family, state, and community. The purpose of this study is to analyse the income stabilizing role of family, state, and community. I found that stabilizing effect of the family and community was very strong in Korea. When institutional features of labor market and the state leave individuals exposed to market risk, they may be respond by relying more on family-based or community-based strategies of income stabilization. But, I can't deny the possibility of an inadequacy of these strategies in according to the rapid changes of family structures and informal networks. Therefore, state-based strategies of income stabilization should be more strengthened in Korea.

• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.591-600
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• 2016

This paper, in the situation of deepening poverty and worsening income inequality, aims to find the impact on income inequality of main income sources such as public income, market income and family income in the elderly and propose polices for weakening the income inequality in the elderly. Main results are as follows. First, Gini coefficients of each income sources in the elderly are total income's 0.4801, public income's 0.4071, market income's 0.6736 and family income's 0.1855. Income inequality in the elderly population is serious in the total income, public income and market income areas. Second, after excepting for public income in total income, Gini coefficient is 0.4864. after excepting for market income in total income, Gini coefficient is 0.3609. And after excepting for family income in total income, Gini coefficient is 0.5784. When market and public income are excepted from total income, Gini coefficient alleviate. Therefore, market income and public income are the major causes of income inequality in the elderly. But, family income alleviate the income inequality in the elderly. In order to alleviating the income inequality of the elderly, we must try to increasing the market income. For example, government must to supply job opportunities for the elderly of low-income.

• Journal of the Korean Home Economics Association
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• v.34 no.2
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• pp.99-116
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• 1996

The purpose of this study is, to analyze the relationship between level of clothing involvement and use of information sources. Data was obtained from 130 middle-elderly women living in Chonju, Iri. And it was analyzed by frequency, percent, mean, ANOVA, $\chi$2-testk. The results of this study were as follows : 1) Groups were divided into high and low involvement according to involvement level. 2) The higher was clothing involvement, the lower was age, the higher was education, and the more was income. 3) The higher was clothing involvement, the higher was use df information sources. Groups used mostly information sources by personal media or observation, experience. 4) The high income group used impersonal information source, the low income group used mostly personal information source.

• Journal of Families and Better Life
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• v.11 no.2
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• pp.69-82
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• 1993

Financial stability of households is the basic and most important factor of the quality of life. It affects emotional psychological mental and social aspects of family personal develop-ment and family healths etc. This study investigated and analyzed the data on financial stability of households. The data collected through the self-administered questionnaire from 466 house-holds in Kwangju area were analyzed. As statistical methods Frequency Percentile. Anova Duncan-test and Regression analysis were used. The results obtained are as follow: Education job status housing tenure type numbers of income source assets income and income flexibility have positive effects on financial stability. Especially numbers of income sources has most important effect. Significant correlation coefficients between financial stability and economic pressures mental healths financial satisfaction life satisfaction and coping behaviors were revealed respectively To improve the quality of life financial stability of household is severely considered. To be financially stable providing various income sources is more desirable than having regular and fixed income.