• 농촌지도와개발
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• 제24권1호
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• pp.63-81
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• 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.

• 농촌계획
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• 제14권2호
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• pp.85-97
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• 2008

The purpose of this paper is to review current state of farm household's debt which is considered as one of the biggest problem in the rural community, to analyze the cause of farm household debt rising in Jeju province, and to make improvement schemes on how this problem of farm household debt could be alleviated. In order to achieve these objectives, raw data are collected from the interviews with 400 farming households in Jeju region. The results of the study are as follows; An average amount of total farm households debt was 42,000 thousand won in 2005, but an average of farm households debt excluding no debt farm households was increased by 10,000 thousand to 51,750 thousand won. But the debt properties are variable according to the farm type. Non-citrus farmers, younger farmers, rural area resident farmers hold more debt problems than other type. Among total farm households, 30 percent showed over 40 percent leverage ratio(debt/total assets), which is considered as risky or heavily indebted. Therefore, I designed a workout program and a program of land liquidation for heavily indebted farm households in Korea.

• 한국농촌생활과학회지
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• 제7권2호
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• pp.139-152
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• 1996

The objectives of this study are : (1) to measure the level of economic stress perception in Korean farm households. (2) to identify the effects of related variables such as socio-demographic variables and economic stability. The data from 505 farm households' wives was analyzed using statistical methods such as frequency, correlation, oneway ANOVA, lease significant difference test, and stepwise multiple regression. The major findings are as follows : The mean value of economic stress perception on the 505 wives was 33.5 points out of a possible 100. Among 3 subsectors, income stress perception had highest score. Socio- demographic variables such as family size, type of farm household, financial manager, debt, credit . grant assistant, wife's age, and educational level of the wife had a significant difference on the economic stress perception of wives in the ANOVA analysis. So did the objective and subjective evaluation of economic stability. As a result of multiple regression analysis, economic stability, debt presence, and wife age were verified explaining 23% of the variance of economic stress perception. Therefore, it can be said that farm wives had relatively high economic stress perception in the case of low economic stability, getting into debt and low age.

• 수산경영론집
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• 제27권1호
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• pp.47-56
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• 1996

The pollution in the coastal sea is being aggravated because of frequent happening of red tide and oil leakage from tankers. The Exclusive Economic Zone is being drawn in the seas surrounding Korean Peninsula. Therefore, the fisheries in Korea is under a great change in their production base. On the other hand, the fisheries have been considered as a part of agriculture in policy making and financial support. The thesis compares agriculture with fisheries in the fund demands and financial supports. It tries to find a way in the efficient allocation of fund for the two industries. The fund demand of a typical fishing household is greater than that of a typical farm household. The fund used by a fishery household is more dependent on debt than that of a farm household. Therefore, the internal financing ability of a fishery household is weaker than that of a farm household. The repaying ability of a fishery household is weaker than that of a farm household because a fishery household's income is less than a farm household's. When we analyze the uses of fund, the fishing industry has some disadvantage in fund uses. The financial support for the fisheries' structural change is weaker than that for agriculture. The fishing industry has some disadvantage in the investment and subsidy rates. Also, the loan period for fisheries is shorter on average than that for agriculture. When we analyze the sources of the fund, the fisheries' banking sources are greater than the government's sources, which is relatively stable. Therefore, the fisheries will be more heavily affected by the liberalization of banking industry and system than the agriculture will. The government needs to change the shortcomings in the sources and uses of fund. First, it needs to use the fund, considering the characteristics of the industry and producers' financing ability. Second, it needs to adjust the sources of fund to the liberalization of financial system.

• 농촌계획
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• 제20권3호
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• pp.201-212
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• 2014

The Farm Revival Program of the Farm Land Bank, implemented in 2006, initiated as the Agricultural Land Bank's business proposal to achieve efficient usage of farm land. Also, expansion of Farm Revival Program will bring positive effects when considering the fact that Farm Revival Program contributes to farm liability issues and management improvements. However, despite the importance of Farm Revival Program, searching for improvement methods through a rural demand survey is very insufficient. The following research limits the target to farms that applied for the management redemption project within Gangwon Province and examined the application motivation, project satisfaction, and demands of the farms. This research holds value as a fundamental data which reflects the demands of farms to better manage Farm Land Purchasing of the Farm Land Bank.

• 가정과삶의질연구
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• 제16권2호
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• pp.83-96
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• 1998

The purpose of this study was to investigate the level of assets and liabilities of farm households and to evaluate the financial status of rural middle-aged and old-aged household using financial ratios. For these purposes an empirical survey data was gathered from rural middle-aged and old-aged households in 8 provinces using structured questionnaires. 877 households data were used in final analysis. The statistical methods used for data analysis are frequency percentile mean The statistical methods used for data analysis are frequency percentile mean median standard deviation $\chi$2 and t-test using SPSS/PC WIN program. Among financial ratios 64.7% of total households could meet the guideline of consumption to income ratio 5.9% of total households could meet the appropriate level of short-term and long-term liquidity. In the case of debt burden ration 82% of total households could meet the guideline. And 28.5% of total households could meet the guideline of capital stock ratio .

• 한국축산시설환경학회지
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• 제2권2호
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• pp.155-164
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• 1996

The objective of this study was to estimate the investment limit in equipment capital by Capital Recovery Method. The data used was collected from 23 Hanwoo(Korean Native Cattle) farms in 1994. The necessary time for herd size expansion was average 5 years from opening(9.7 heads) to 50 heads, 4 years from 50 to 100heads, 3 years from 100 to 150 heads, and 2 years from 150 to 200 heads, respectively. It took 14 years from opening to 200 heads of herd size. The debts for fattening cattle farms were 15.2million won for the size of 50 heads, 37.1 million won for the size of 100 heads and 89.0 million won for the size 200 heads, respectively. Average rates of debt interest were 5.1 % 7.2 and 10.8, correspendingly. As the hear size increased, debt interest rates also increased due to government funds limit. The investment limits in equipment capital perfarm household were 77.7 million won for 50 heads, 135.1 for 100 heads, and 294.3 for 200 heads for 5,500 won per kg liveweight, 70.7 million won for 50 heads, 122.6 for 100 heads and 269.3 for 200 heads for 5,000 won per kg liveweight, 63.6 million won for 50 heads 110.0 for 100 heads and 244.2 for 200 heads for 4,500 won per kg liveweight.