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

• Journal of Korean Society of Forest Science
• /
• v.106 no.4
• /
• pp.497-508
• /
• 2017

This study conducted to examine about the income inequality and bi-polarization for forestry household. For this purpose, Gini coefficient and Atkinson index were used to analyze the income inequality for forestry household. Also, DER index were employed to show their income bi-polarization. Before using these methodologies, forestry household income was divided into three parts that was forestry income, non forestry business income and transfer income. And then, income inequality and bi-polarization were analyzed respectively. The result shows that forestry household income inequality was higher than whole household inequality. Apart from transfer income, forestry household income, forestry income and non forestry business income inequality was aggravated. At the same time, these tendency was able to observe the bi-polarization for forestry household income and other income sources.

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

• Journal of Labour Economics
• /
• v.38 no.3
• /
• pp.23-51
• /
• 2015

This paper estimates the effect of household size and its changes on income inequality. Household formation is an important inequality-reducing mechanism through income pooling and collective consumption. The increase in small households, reflecting lower fertility rate and the increase in both nuclear and old families, has weakened the inequality-reducing effect of household formation. In contrast, additional workers in households and their income have strengthened the inequality-reducing effect of household formation. Given the increasing trend of old families, these results suggest for a balanced policy package that promotes employment and does not discourage co-habitation in order to maintain the inequality-reducing effect of household formation.

• Journal of the Korean Home Economics Association
• /
• v.39 no.2
• /
• pp.111-130
• /
• 2001

Using the 1996 Expenditure Survey of Urban Famines from the Korea National Statistics Office, this study examines the economic status and the inequality of the elderly households. To explain the inequality of the single elderly households, this study divides the elderly into three groups of single, couple, and Living with admit children, and compares the total household income, total household expenditure and the net saving amount of these three groups. The results of Gini coefficients and Lorenz curries show that the inequality is higher in the single elderly household than couple elderly households or living with adult children elderly households. To investigate the reason of the inequality, this study compares the income, expenditure, and net saving amount by working condition of the household head in each three group. The result implies the need of employment to get household income especially for the single elderly who are in the higher inequality economic condition.

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

• Korean Journal of Labor Studies
• /
• v.24 no.3
• /
• pp.1-34
• /
• 2018

This paper attempts to provide a new theoretical approach and an empirical analysis based on it to interrogate the structure of household income inequality and its changes in South Korea in the 2010s. Previous research on inequality in sociology, labor economics and feminism has focused on local inequalities which derive from specific spaces of society. For a comprehensive understanding of social inequality in totality, it requires a discussion of global inequality beyond local inequalities. Thus, a synthetic approach that integrates local inequalities, encompassing class, the labor market, population, and family. By using regression-based inequality decomposition, we decompose the contribution of gender, level of education, employment status, occupation, household composition and wealth to household income inequality. This paper shows that household and wealth, as well as the factors discussed in the previous research, are significant factors affecting household income inequality in South Korea.

• Journal of Labour Economics
• /
• v.31 no.2
• /
• pp.1-34
• /
• 2008

This study estimates what fraction of the rise in household income inequality in Korean between 1996 and 2000 is accounted for by the change in each of the household income components, such as wages, employment, hours of work of household heads and spouses, household structure, and other incomes. The increased disparities of household heads' wages and labor supply explain, respectively, 70% and 34% of the rise in the difference in incomes between the top 10% and bottom 10% households. Changing labor supply of spouses, in contrast, was a strong countervailing force that diminished the measure of household income inequality by 21%.

• The Journal of the Korea Contents Association
• /
• v.16 no.8
• /
• pp.366-375
• /
• 2016

This study evaluates the degree of the inequality of medical care expenditure and private health insurance benefits and the relation with household income inequality in korea health care system. This study used the 2014 korea Health Panel survey, and study method is Gini coefficient. The main results are as follow. First, average household income in 1st income quartile is 6,290,000won and 10st income quartile is 101,930,000won. And Gini coefficient of Korea household income is 0.3756. In other words, family income inequality is quite serious. Second, the Gini coefficient of the public institution supported medical care expenditure, such as health insurance and public assistance, is 0.0761, and the Gini coefficient of the expenditure of transportation fee and medical materials etc that don't supported is 0878. The inequality in medical care expenditure in public health care system and without public support aren't serious all. Third, Gini coefficient in excluding household medical care expenditure from household income slightly increased. That is, the medical care expenditure of our country household is the factor of aggravating the inequality of household income. Fourth, Gini coefficient of private health insurance benefits is 0.0927. Therefore, the ineqality in private insurance benefits is low. In addition, the Gini coefficient of the sum of private insurance benefits and household income is 0.3672. it decrease from Gini coefficient(0.3756) of household's. Private health insurance perform the functions somewhat weaken household income inequality. However, it is very little improvement.

• Journal of Labour Economics
• /
• v.37 no.3
• /
• pp.1-44
• /
• 2014

This paper investigates the effect of household formation on the mapping from wage inequality to income inequality, which usually is smaller than the former. Added workers, income pooling among household members, and shared consumption are the factors that make income distribution less inequal than wage distribution, and the effect of income pooling appears to be the greatest. This suggests than the increase in nuclear families and the resulting increase of old families have a potential effect of worsening income inequality at the absence of sufficient private income transfers among the two households. A simple counter-factual estimate indicates that income pooling among the children's and parents' households can efficiently and sizeably reduce income inequality.