• 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.

• 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 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.

• 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.

• The Korean Journal of Applied Statistics
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• v.11 no.1
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• pp.29-39
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• 1998

The Farm Household Economy Survey (FHES) is carried out by the Ministry of Agriculture and Forestry every year. In this paper, we reveiwed the current status of the FHES and assessed the precision of the survey results. Finally we proposed some recommendations for improving the precision and presented the improvable directions of FHES with some feasible solutions.

• 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 agricultural medicine and community health
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• v.10 no.1
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• pp.5-15
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• 1985

It has been a long tradition in the field of nutrition that the degree of malnutrition in a community used to be estimated by the degree of the adequacy of nutrients consumption in the households. The adequacy of nutrient consumption in the households then used to be applied to estimate the degree of malnutrition of the children. Such a practice is theoretically acceptable in the community where the food sharing within the household is individual serving style such as in European countries. However, the community where the dietary habit in the household is communal such as in Korea, the estimation of single serving portion from household consumption is quite uncertain. Because of such an uncertainty this study is intended to test the validity of the household food consumption level as an indication of nutritional status of the children in the rural farm households in Korea. The date from the household consumption survey in 1982 by the Korean Rural Nutrition Institute has been used for the analysis of food consumption levels of the households. The survey on the nutritional status of children of 127 preschool children from 78 farm households, has been conducted during May 1983. The nutritional status of the children has been directly measured by weight, height, skinfold thickness, haemoglobin, haematocrit and morbidity of influenza and diarrhoea. The analysis has been conducted to distinguish the differences in prevalence of malnutrition of children from the estimated of household consumption and that of from the direct measurement of nutritional status of children. The results show that the degree of malnutrition of the estimated by the household consumption level has not related with the prevalence of malnutrition by the direct measures of nutritional status of the children. Therefore, the validity of household consumption level as an indication of nutrional status in a same household is quite uncertain for the population studied.

• Journal of Agricultural Extension & Community Development
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• v.14 no.1
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• pp.117-147
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• 2007

The main goal of this study is to survey the actual condition of farm household adopt traceability of agricultural products and the consumers' recognition of the traceability. Thirty six farm household adopted traceability of agricultural products and one hundred twenty three consumers were surveyed for this study. A total of the cultivated area of surveyed farm household was 39.6ha－owned land(21.2ha) and Rented land(18.4ha)－and the cultivated area of crops with the traceability of agricultural product was 15.7ha, consisting of 39.6% of the whole cultivated area. 22.2% of agricultural traceability products was cultivated bychemical method and 77.8% of the them by environment－friendly agricultural methods－organic cultivation accounts for 2.8%, no－chemicals cultivation 47.2% and low－chemicals cultivation 27.8%. As a result of the consumer survey, 75.6% of respondents recognized agricultural product traceability and only 29.0% of them had experience to purchase traceability products. But 61.0% of surveyed people had intention to purchase traceability products in the future. It was found that consumers wanted to know about production traceability information of farm products in order to identify quality certification including environment－friendly certification, product quality such as taste, weight, grade, and the use of insecticides and fertilizers regarding use frequency and kinds of chemicals.

• Journal of Families and Better Life
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• v.14 no.3
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• pp.181-196
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• 1996

This study examined the time allocation pattern of farm wives. In particular it addressed i)the differences in extent of time spent in farming housework child care and leisure between on-farm and off-farm seasons ii)differences in the extent of time spent in such activities among farm wives and urban wives and iii) the determinants of time spent in such activities. To achieve these goals a system of time allocation equations based on household production theory was employed. On hundred and eight farm wives wiere selected in 1993 by the methods of judgement sampling and cluster sampling. Two major questions in the survey elicited sociodemographic information and time-use of farm wives using the time-diary method, The results indicate that farm wives different decisions about how to allocate their time to farming housework child care leisure during on-farm and off-farm seasons. In addition it was that farm wives are more likely to have dual responsibilities than are urban wives. Finally in the off-farm season education number of younger children and region were significant variables in explaining the time allocation decisions of farm wives. However only age was a significant factor in their time allocation decisions during the on-farm season. This leads one to conclude that time allocation is not a choice for farm wives in the on-farm season.

• Survey Research
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• v.12 no.2
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• pp.89-112
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• 2011

This study shows the results of constructing panel data using Farm Household survey and presents some examples of empirical application. This study shows that ex post constructed panel data using repeated cross-sectional survey can be used in various dynamic analyses. This paper also shows that the well known difficult problem of longitudinal weights can be easily solved by using the existing cross-sectional weights in original cross-section data. Based on these results, we propose that the National Statistical Office not only try to construct panel data, but also construct panel data by using existing repeated cross-section data. The benefits of this approach seems to be very big in establishment survey.