• Korean Journal of Agricultural Science
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• v.43 no.1
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• pp.127-135
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• 2016

Improving farming activity competence of farm households has recently been considered one of the most important factors for increasing farm income. However, few studies examine the relationship between farm income and farming activity competence of farm households directly due to the lack of an available dataset. In this study, we examine the relationship between farm household technical managerial competence and farm household income based on the nearly 30,000 farm households consulting data gathered by the Rural Development Administration, RDA. The major findings of this study are as follows: firstly, statistically significant differences in agricultural and farm household income exist between farm households categorized by farm activity competence levels in terms of technique and management. Secondly, a technically and managerially competent farm household group (high-rank farm household) has 2.2 times higher agricultural income and 1.9 times higher farm household income than the technically and managerially incompetent farm household group (low-rank farm household). Thirdly, farm household technical-managerial competence is one of the major factors that affect agricultural and farm household income. Regarding technical competence, agricultural income and farm household income increased by approximately 1,390,000 won and 1,530,000 won, respectively, as technical points increased by one point. However, with respect to managerial competence, agricultural income and farm household income increased by approximately 1,320,000 won and 2,070,000 won, respectively, as managerial points increased by one point.

• Journal of Families and Better Life
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• v.26 no.6
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• pp.143-158
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• 2008

The purpose of the study was to investigate the wife and husband role division in household financial management between dual-income household and single-income household. Household financial management included the following five categories: financial planning, consumption/expenditure management, savings/investment management, risk management and credit management. Data for this research was collected through 610 married women living in Seoul, Korea. Using SAS-PC program, Chi-square and t-test Analyses were executed. The results showed that dual- and single-income households tend to have different perspectives on marital role division in household management. Wives of dual-income households had more significant roles in financial management rather than wives of single income households. Especially, wives of dual-income managed more active credit management and saving/investment management. On the other hand, wives of single-income households played a major role in making decision over cheap items than that of wives of dual-income household.

• Journal of Families and Better Life
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• v.20 no.6
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• pp.81-93
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• 2002

The purpose of this study is to analyze the effects of household income drops on household economic status during economic crisis periods. Using the data taken from Korean Household Panel Study for 1996 and 1998, it was investigated how household income change affected household income, expenditure, and assets/debt. The economic status change of the income-decreased group was compared with that of the income-increased group. The major findings were as follows: Average income of the total sample was 1,905 thousand won in 1996, while 1,419 thousand won in 1998. The household of which income was decreased during the period was 65.1% of total sample. Average income of the group was reduced from 2,263 thousand won to 1,239 thousand won. Among income sources, the amount of income from real asset was found to be the highest decreasing rate, and the amounts of both business and employed-work income were reduced almost up to an half of those in two years ago. The amounts for all expenditure categories were also decreased with decreasing household income. Especially the expenditures for food away from home, leisure, durable, recreation, and vehicle-related expense were found to have the highest income elasticity. The households with decreased income were found to reduce household expenditures by 377 thousand won per month, which was 70.9% of that in 1996. Decreases in household income resulted in decreases in net wealth by 10,170 thousand won. With decreases in household income, the amounts of total insurance and private savings such as gye were decreased, and so were the amounts of real assets and monetary assets.

• Journal of the Korean Home Economics Association
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• v.47 no.10
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• pp.109-122
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• 2009

This study examined the effects of household head’s worker status change type on household income and household head’s income using a total combined sample of 2,578 households from Korea surveyed in 1998 and 2002 KLIPS(Korean Labor and Income Panel Study). Binary logit regression results showed that household incomes were likely to decrease significantly when household head’s changed worker status from a regular employee, a temporary employee or a daily worker, or an employer or a self-employed to no job status, or from a regular employee to a temporary employee or a daily worker, an employer or a self-employed, or from an employer or a self-employed to a regular employee compared to a regular employee status maintenance. In contrast, household head’s incomes were likely to increase significantly when household head’s changed worker status from a temporary to a regular employee compared to a regular employee status maintenance. Women household heads were significantly associated with the likelihood of the decrease of household head’s income compared to men household heads. Household heads beyond their forties were significantly associated with the likelihood of the decrease of household head’s income compared to household heads in their thirties age-group counterparts. Household heads with education level beyond high school graduation were significantly associated with the likelihood of the increase of household head’s income compared to household heads with the education level of high school graduation. This study shows that a more comprehesive labor policy is needed for achieving sustainable household income inflow.

• 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.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.1
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• pp.33-45
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• 2014

This study investigates urban household consumption patterns for clothing items in different income cohorts through the analysis of an Almost Ideal Demand System (AIDS) model. Korea quarterly time-series statistics data for urban household expenditures from 1990 to 2013 analyzed household demand. The price and total consumption expenditure elasticities of 4 clothing items (outer wear, shoes, clothing related services and other miscellaneous clothing) for 7 income cohorts were estimated to investigate the clothing consumption patterns of different income cohorts. The study results show that the different household income cohorts have different consumption patterns for clothing items. The elastic demand of total consumption expenditures in the lowest household income cohort suggests that they consume clothing items as luxuries while other households mostly consume them as necessities. The price elasticity for all household income cohorts and clothing items (except the highest household income cohort and outer wear) was found to be elastic. The highest household income cohort had an inelastic price demand for all clothing items that implied a less sensitive clothing consumption change for the clothing price change than other households.

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

• Asia-Pacific Journal of Business
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• v.11 no.4
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• pp.291-301
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• 2020

Purpose - The purpose of this study was to investigate several household characteristics related to panel attrition, examining how they may have conditioned the panel data in the Korea Welfare Panel Study (KOWEPS). Design/methodology/approach - We studied the cause of the differences in household income between the original panel and the new panel in KOWEPS. Findings - To summarize our findings, whereas it is highly likely that a low-income household or a household without health insurance will remain in the panel, it is highly likely that a high-income household or a household of more than three members will be taken off the panel. Research implications or Originality - The proportion of low-income household tends to decrease over the years, which appears to result from an overall increase in household income. Such changes are reflected in the pattern in which older panels have higher estimates of household income than newer panels.

• Journal of Families and Better Life
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• v.32 no.5
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• pp.125-143
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• 2014

The purpose of this study was to gain a better understanding of households with a negative cash flow. The Household Budget Survey conducted in 2000, 2005, and 2010 by the Bureau of Statistics in South Korea were used for this study. The households used in this study were divided into four groups according to their income levels; they were categorized the lowest, low, middle, and high income groups. This study made several findings regarding households with a negative/positive cash flow. Firstly, the demographic and economic characteristics were different between those who have a negative cash flow and those with a positive cash flow. A female household head, a household head age 65 and older, a household head with a lower educational attainment, an unemployed household head, and the presence of a child/children in schools were related with the household deficit. Secondly, the households with a positive cash flow had a higher income level compared to the households with a negative cash flow, while the households with a negative cash flow had a much higher consumption level compared to the households with a positive cash flow. Thirdly, the household deficit to total income ratio of the lowest income group was higher when compared to any other income group. Lastly, the multivariate statistics showed that households including a child/children in schools are more likely to be a household with a negative cash flow. Especially, the expenditures on education and transportation were related with the likelihood of a household deficit.

• Journal of the Korean Home Economics Association
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• v.28 no.3
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• pp.105-125
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• 1990

The 78 housekeeping books were analyzed to find out the structure of income and expenditure of the farm household. The selected farm households were classified into 4 different farming types such as rice-cultivating, vinyl house, fruit-growing, and livestock farming. The results are summarized as follows : 1) The farm housekeeper ought to rationally manage farm household money income, because agricultural income was preponderated to several months regardless of farming types. 2) Farm household income was primarily dependent upon agricultural income and non-agricultural income in the livestock farming and rice-cultivating farm houshold respectively. 3) order of living expenses of the total farm households were recreation and entertainment expenses, food expenses, education expenses, and housing, fuel & light expenses in size. The major expenses were education expenses, food expenses and miscellaneous expenses in rice-cultivating, vinyl house and livestock farming, and fruit growing farm households respectively. 4) Balance of income and expenses of the farm household, s its time, size, and pattern of increase and decrease, was different by farming types. 5) Household expenses increased in February, May, August and December, though disposable income reversely decreased in February, April, August and December compared to each former month. So, special consideration should be taken into budget planning for household money management in February, August and December.