• 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 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.

• 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.

• Korean Journal of Agricultural Science
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• v.15 no.1
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• pp.114-122
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• 1988

This paper aims to identify the characteristics of the tenant farm's income compared with farm household consumption. Farm household surplus is a critical criteria for the reproduction of agriculture. The degree of self sufficiency of farm household consumption according to agricultural income was rapidly decreasing for the period of 1980's. Only 78.9 percents of farm household consumption was earned by agricultural income. Tenant farms were classified according to the following characteristics; self-supported, semi self-supported, leased, deleted, over-consumption. Self-supported tenants are one of the backbones of Korea's future agriculture, because they are able to meet their household needs by only their farm work without other income producing endeavors. The rent paid by those tenants surveyed was estimated at 26.2 percents of their farm household income. However, the national average for such rental payment is equivalent to 4.7 percents of farm household income. 63 percents of paddy rental fee was paid by inkind of rice and 80 percents of the upland rental fee was paid by cash. Self-supported farms as 20 percents of total surveyed should be the target of agricultural price policy and semi self-supported & over-consumption farms as 30 percents be that of rural development policy, and the other half be that of social welfare policy.

• 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.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.7
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• pp.939-949
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• 2004

The purpose of this study was to analyze clothing expenditure patterns of urban, rural/farm, and rural/non-farm households. A sample of 23,994 households was selected from the 1996 National Survey of Household Income and Expenditure, and 1996 Farm Household Economy Survey. Frequency and regression analyses were used. Major findings were: 1) clothing expenditure of rural/farm households were significantly lower than that of urban and rural/non-farm households; 2) in terms of clothing expenditure by categories, urban and rural-non-farm households have similar expenditure pattern; 3) clothing expenditures relative to income were lower than 1 for all three groups; 4) clothing expenditures relative to total income for urban and rural/non-farm households were higher than 1, while that for rural/farm households was lower than 1; 5) a major factor explaining clothing expenditure differences between urban and rural consumers was the household head＇s occupation.

• Journal of Families and Better Life
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• v.4 no.2
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• pp.35-51
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• 1986

The purpose of this study is to establish family life cycle of farm and to analyze changes of economic conditions-income, consumption expenditures, savings, assets, and debts-in farm household according to the family life cycle. Income, consumption expenditures, savings, assets, and debts functions are also estimated by age of household head. The data of Farm Household Economy Survey which was conducted in 1983 by Ministry of Agriculture and Fisheries is used in this study. Among total data of 2000, 1603 are analyzed for mean, percentage, and regression using CRISP Program at Office of Rural Development. The results of study can be summarized as follows; 1) Eight stages of family life cycle of farm are established according to the growth of the first child. They are: Establishment stage, Child bearing and preschool stage, Elementary school stage, Middle and high school stage, College and vocational adjustment stage, Period of children's marriage, Re-adjustment stage, and isorganizing stage. 2) The economic conditions of farm household are significantly fluctuated by family life cycle. Among the eight stages, stage Ⅱ is considered relatively comfortable living period and stage Ⅲ, Ⅳ are the most difficult periods of farm household economy. 3) The estimated functions of income, consumption expenditures, savings, assets, and debts by age of household head are as follows; Y(income) = 2, 354, 832+98,456T-1,036T2(F=11.746) C(consumption expenditures) = 81,876+154,976T-1,552T2 (F=37.272) S(savings) = 2,272,956+56,511T+516T2(F=4.262) D(debts) = 903,929+28,300T-438T2(F=3.339) A(assets) = 200,816+1,213,336T-12,930T2(F=21.069) To carry on a reasonable farm household management, a suitable measure to cope with the desire of family and the economic conditions of farm household should be prepared.

• Korean Journal of Agricultural Science
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• v.20 no.2
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• pp.201-210
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• 1993

The political and technological countermeasures to cope with the UR problems are under studying at present or some of them are already applied to increas farm household income. It is evident that the leisture farm development is considered the best alternative among the countermeasures. On account of mitigating labour shortage, a most difficult problem encountered by agriculture, and of promoting consumption of farm products, the leisure farm development could increase farm household incomes accoringly. This study is ultimately aimed at identifing the countermeasures to increase farm household incomes by suggestion of the improvement of leisure farm management thorough survey of the present leisure farm management status. The leisure farm. management survey was carried out based on the seven leisure farms such as Songnam, Cheongrock, Yusung, Duryong, Hwachun, Maesan and Sinhuck which are saperately located in Chungnam Province.

• Journal of Agricultural Extension & Community Development
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• v.13 no.2
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• pp.265-276
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• 2006

This study focused on the trends in recognising an economic concern as the most difficult problem in the farm household that was categorised as a full-time farm household or a part-time household according to income structure from agricultural activity. Log-linear models were suggested to compare the change of recognising an economic problem between year 2003 and 2005. As a result, there was no significant difference in recognising an economic problem between full-time farm household and part-time farm household both in 2003 ($x^2$＝0.04;p＝0.84) and in 2005 ($x^2$＝1.08; p＝0.30). It was revealed, however, that full-time farm household had increasingly recognised an economic problem over years. Log-linear models showed that full-time farm households tended to recognise the economic problem 1.11 times as much as part-time farm households in 2005, compared to 0.97 times in 2003.

• Journal of Forest and Environmental Science
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• v.35 no.3
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• pp.173-180
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• 2019

This study determined the economic impact of environment-friendly cultivation and the optimal cultivation area of Omija (Korean for Schisandra chinensis Baillon) for full-time farmers by analyzing the management performance of existing Omija cultivators. The study divided the target income into urban household income and Omija farm income, and estimate the optimal cultivation area by substituting the target profit from the cost-volume-profit analysis model. The optimum cultivation area was 1.4 ha for general cultivation, 1.08 ha for organic cultivation, and 1.18 ha for pesticide-free farming cultivation considering the average urban household income as the target, and 0.81 ha for general cultivation, 0.63 ha for organic cultivation, and 0.69 ha for pesticide-free farming, considering the average 2012 farm household income as the target. Therefore, the study reached conclusion that it is necessary to secure the price of Omija farm and stable support for income increase. Therefore, the support plan for income stabilization of Omija farm should be considered. Especially, the central government should provide various policies and financial support to help the optimal cultivation area of Omija Farm.