• Korean Journal of Agricultural Science
• /
• v.43 no.1
• /
• pp.127-135
• /
• 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 Agricultural Extension & Community Development
• /
• v.24 no.1
• /
• pp.63-81
• /
• 2017

The purpose of this study is to analyze the changes of time series, the use by farm type and the causes of farm household debt. First, the mid and long term changes in farm household debt over the past 50 years have increased. Since 2010, the share of non-agricultural debt has exceeded the share of agricultural debt. Second, as a result of the analysis of the farm household debt use by farm type - full time&part time, farming type, land size, age, family members - there was a difference between the agricultural and the non-agricultural debt according to the type of farm household in a significant level of 1%. Finally, as a result of the cause analysis of the farm household debt, the related non-agricultural expenditure variables and the dummy variable of the manager's age, family member and land size has a common influence on the farm household debt increase.

• Journal of Families and Better Life
• /
• v.7 no.2
• /
• pp.145-161
• /
• 1989

The objectives of this study are ; 1) To analyze the time use and the invironments of rural housewives household labor according to the characteristics of agriculture. 2) To investigate the factors influencing household labor time. In this study, the rural areas are divided into two groups according to characteristics of agriculture. One is traditional agricultural area-Seokchon Dong in Youngcheon Kun, and the other is commercial agricultural area-Dongpo 1 Dong in Sungju Kun. Two areas are located in Kyungpook Province. 145 housewives dwelling in above two villiages were interviewed. The statistics used for data analysis were frequency, percentile, T-test, x2-test, and multiple regression analysis. Results are as follows; 1) household labor time had not significant differences Hetween Youngcheon and Sungju. But agricultural labor time was longer in Sungju than in Youngcheon. 2) household labor environments in Sungju were better than those in Youngcheon. 3) household labor time was influenced by agricultural labor time and socio-cultural time.

• Korean Journal of Agricultural Science
• /
• v.15 no.1
• /
• pp.114-122
• /
• 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 Korean Society of Rural Planning
• /
• v.12 no.3 s.32
• /
• pp.81-95
• /
• 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 Agricultural Extension & Community Development
• /
• v.22 no.4
• /
• pp.365-383
• /
• 2015

This study aimed at identifying a differences of the factors affecting personality of multicultural and non-multicultural household adolescent in rural area. The major findings that were drawn from this study were as follows. Frist, the level of personality perceived by non-multicultural household adolescent was higher than it of the multicultural household adolescent significantly. Second, the regression analysis showed that the factors affecting personality was different between multicultural and non-multicultural household adolescent in rural area. The scholastic performance(${\beta}=.23$), namely, affected most significantly the personality perceived by adolescent of multicultural household, and the immersing time in internet game per one day(${\beta}=-.27$), on the other hand, affected most significantly the personality perceived by adolescent of non-muticultural household. In conclusion, based on results of this study, several plans improving the personality of the rural multicultural and non-multicultural household adolescent were suggested.

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

• Korean Journal of Agricultural Science
• /
• v.19 no.2
• /
• pp.238-268
• /
• 1992

Since rural people migrated to urban area as a result of rapid industrialization in Korea, a significant proportion on agricultural labor farces has consistently reduced and therefore incurred labor shortage in rural area which might aggravate the farm household's economy. This sutdy suggests a long run plan of supplying agricultural machines for forage cultivation based on the survery of 102 livestock farm housecholds conducted in 1987, aimed at curtailing the labor costs which would contribute to improving the livestock farming management. The results of this study are as follows: 1. Among the 102 livestock farm household surveyed, 50 farm housecholds were found to cultivate 398a of grassland on average while other 52 farm households produced the forage on the 169a of land under cultivation averagely. 2. Over 50 percent of farm houseolds were reported to have their own agricultural machine for harvesting and cutting, however rates of mechanization in other operations such as mowing and sowing were less than 20 percent. 3. There were more than 50 percent of livestock farm households who have shown their intention to buy and operate their own farming machines when proprer opportunities are given. 4. In order to estimate the long-run demand for agricultural machines for livestock farm household considering current mechanization procedure, data for the machine's optimal capacty, growth of arable acreage for feed stuffs was collected and analyzed. 5. Based on the estimated demand, long range supply plan of livestock farming machines for the period of 1990-2010 was suggested. 6. Finally, measures for technological developement and finanacial support were suggested to implement so as to encourage the farmers' adoption of agricultural machines, and to achieve the goal of mechanization planning for the livestock farm household.

• Journal of Agricultural Extension & Community Development
• /
• v.16 no.3
• /
• pp.557-586
• /
• 2009

The objective is to find the classification criteria between urban and rural, and to classify the urban and rural area all the country in Korea. For the research objectives, reviews of related literature and statistical yearbooks were used for finding criteria and analysing data. Through reviewing the literature, some indicators were selected in views of rurality and urbanity, and gathered the data from statistical yearbooks. And factor analysis was used to find first and second factor for classifying region. Six factors as a city surrounding(36%), non-farmer household population ratio(28.1%), cultivated acreage(12.48%), agricultural production surrounding (12.40%), the farm family number change(5.58%) and household number rise and fall(5.54%) were finding. And rurality factors were cultivated acreage, agricultural production surrounding, the farm family number change and household number rise and fall, and urbanity factors were city surrounding and non-farmer household population ratio. Based on the first and second factor loaded amount, four type regional classification was followed.

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