• Journal of Korean Society of Forest Science
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• v.96 no.6
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• pp.705-713
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• 2007

The purpose of this study was to understand the organization and the forestry household income applied the result of 2005 Forestry Census and the Economic survey of Forest household in Korea. As a result of the analysis, there are 97,108 households of a forester in korea 2005. Full time forestry household occupied 7,925 families (8.2%), part time forestry household occupied 88,183 families (91.8%). Therefore, the most household of a forester is part time forestry household in korea. The average people of the household of a forester family is 2.7 people. The age of forest manager are sixties nearly, over sixty years old forest manager occupied 51,505 people (53%). The forest management period of forestry households is more than 6 months in 39,229 families (40.4%), less than 1 month in 7,216 families (7.4%). The average area of forestry households owning forest is 4.6ha. According to the type of business, logging families possesses 19.5 ha. The mean income of forestry households is \27,148,000. One of them, forestry income is \6,529,000, which occupied 24.1%. Furthermore, forestry households less than \5,000,000 forest product sales performance occupied 51,633 families, which is 64%. Forest operating costs is \6,566,000 mean per family. In addition, the number of a forestry household resident villages is 11,829 villages, where is 32.8% of whole villages in korea. There are 2,979 villages where reside forestry household in gyeongsangbuk-do.

• Journal of Korean Society of Forest Science
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• v.108 no.3
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• pp.392-404
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• 2019

The purpose of this study was to identify the impact of various income sources on income inequality of forestry households. Data from the Forestry Household Economy Survey from 2013-2016 were analyzed using the Gini coefficient decomposition method via income source. In particular, the income inequality analysis of forestry households was broken down into separate analyses based on group, i.e., the whole of forestry households and the five income quintile classes. The results of the analyses showed that income inequality of forestry households is primarily affected by forestry and nonforestry incomes and income quintile class. Moreover, income inequality of the highest income quintile class was largely affected by forestry income compared with other sources of income, whereas that of other income quintile classes was largely affected by nonforestry income. Therefore, in order to reduce income inequality in forestry households, it is necessary to increase the proportion of forestry income in the lower four quintile classes. Given that the income of the lowest quintile class is negative, it is necessary to devise ways to improve the proportion and quantity of forestry income. At the same time, as forestry income increases, a policy alternative is also required to improve inequality in forestry income.

• KDI Journal of Economic Policy
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• v.26 no.1
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• pp.141-190
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• 2004

Income inequality in Korea has increased after the economic crisis, and the main reason for the widening of income distribution is due to the increase of the unemployed when analyzed using the Urban Household Report(UHR). However, income inequality has not decreased although the rate of unemployment decreased after 2000. Further data bases for income-related statistics are necessary to examine the exact causes of changing income inequality as a whole since the UHR covers only statistics on urban employees' wage and salary in Korea.

• Journal of the Korean Home Economics Association
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• v.38 no.7
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• pp.13-26
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• 2000

The purpose of this study were to identify the financial status of the home based business, and to analyze the factors effected on it. The sample consisted of 713 self-employed from data of 1998 Korea Household Panel Study, and analyzed into Frequencies, Percentile, t-test, $\varkappa$$^2$-test, and Regression Analysis. The findings showed that the household income and expenditure level of female self-employed was higher than those of male self-employed. In case of financial status of business, male self-employed's net profit was higher than female's and the net profit to total sales ratio of male self-employed was greater than female's. The factors contributing to total expenditure to total income ratio were sex, educational level, future economic expectancy, residence and home ownership of self-employed, while the factor effect on total asset to total debt ratio was only total household income. The Variables of sex, educational level of self- employed, job type of home based business and the number of employees in home based business were associated with net profit to total sales ratio, age and educational level of serif-employed, and job type of home based business was related to total sales to the number of emploees ratio(labor productivity).

• Current Research on Agriculture and Life Sciences
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• v.10
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• pp.53-65
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• 1992

The purposes of this study are to examine the structural differences between the agriculture of Korea and Japan, to clarify the characteristics of Korean agriculture and to determine the extent of development of agriculture in Korea as compared to Japan, In order to do this, the existing literature research reports and secondary data of both countries were used. The main findings are as follows : 1) The percentages of upland fields have inclined to increase in Japan, while those of paddy fields have increased in Korea. However, the size of cultivated land per farm is about the same. 2) The percentage of part-time household was 85% in Japan, against 22% in Korea. 3) Farm household income was more than non-farm household income in Japan, wherease : 92% was non-farm household income in Korea. 4) The farm mechanization is more advanced in Japan than Korea. In conclusion, Korea legs behind Japan in the following areas: (1) Farm mechanization (2) the structure of food consumption ; (3) industrialization and urbanization in Korea progressed more rapidly as compared with Japan ; (4) industry became overconcentrated in the Seoul metropolitan area.

• Journal of the Korean Home Economics Association
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• v.30 no.1
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• pp.219-235
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• 1992

This study attempted to examine a theoretical framework which synthesizes risk attitude, type of investment management and investment behavior and to provide the specific investment strategy by analysing several variables which have effect upon the investment behavior. The results of this research were as follow : 1. Risk attitude had significant differences by the variabels such as age, sex, education, income and debt/asset ratio. Also the type of investment management was influenced significantly by the variables such as age, education, occupation, income, total asset, debt/asset ratio, achievement motivation and risk attitude. The ratio of risky asset holdings was affected by the variabels such as age, education, occupation, housing ownership, income, total asset, debt/asset ratio, achievement motivation, risk attitude and type of investment management. 2. Among several variables affecting the ratio of risky asset holding risk attitude, education, type of investment management, debt/asset ratio and achievement motivation had direct effect on it. Besides age had indirect effect through risk attitude and age, achievement motivation and risk attitude had indirect effect through the type of investment management. 3. The results of this study showed that causal relation between input, throughput and output can be applied to household's investment behavior and the concept of risk or risk attitude can be applied to other fields except household's investment. Also it could be attributed to provide the investment strategy for improving level of household's financial well-being.

• Korean Journal of Agricultural Science
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• v.47 no.4
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• pp.769-782
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• 2020

Interest in fruit and vegetables has increased due to changes in consumer consumption patterns, socioeconomic status, and family structure. This study determined the factors influencing the demand for fruit and vegetables (strawberries, paprika, tomatoes and cherry tomatoes) using a panel of Rural Development Administration household-level purchases from 2010 to 2018 and compared the ability to the prediction performance. An artificial neural network model was constructed, linking household characteristics with final food expenditure. Comparing the analysis results of the artificial neural network with the results of the panel model showed that the artificial neural network accurately predicted the pattern of the consumer panel data rather than the fixed effect model. In addition, the prediction for strawberries was found to be heavily affected by the number of families, retail places and income, while the prediction for paprika was largely affected by income, age and retail conditions. In the case of the prediction for tomatoes, they were greatly affected by age, income and place of purchase, and the prediction for cherry tomatoes was found to be affected by age, number of families and retail conditions. Therefore, a more accurate analysis of the consumer consumption pattern was possible through the artificial neural network model, which could be used as basic data for decision making.

• Journal of Forest and Environmental Science
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• v.33 no.4
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• pp.355-360
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• 2017

This study was aimed to analyze the increased forestry incomes by combining timber production and wood processing, which is one of 6th industrialization types in Korean forestry. The selected household has been engaged in forestry for two generations and they produce timber and associated wood products in their own facility. The wood products include dimension lumber, interior wood material, cutting board, and cube chips, the household also utilize logging and sawmill residues as well as seed and seedlings as by-products. Incomes and expenses that have been incurred on individual processes of the sequential timber production and wood processing were surveyed, and we analyzed the economic outcomes of entire business. The results of this study indicate that the gross income of the household is 122.3 million Korean won and the net income is 93.6 million Korean won. The net income of the household is approximately 2.8 times higher than the average net income of whole households in the forestry of Korea in 2016, which is approximately 4.3 times higher than that of households that have been particularly engaged in timber production over the country. We found that the 6th industrialization by combining the two sequential processes creates approximately 3.2 times as much added value compared to the case relying on timber production only.

• Korean Journal of Social Welfare Studies
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• v.40 no.3
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• pp.243-265
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• 2009

Using the children supplements of Korea Welfare Panel Study(first wave), this study examined that the correlation and differences between income-poverty(minimum cost of living)and housing- poverty(sub-standard housing) and analyzed the effects of living in sub-standard housing conditions on children's school achievement. The findings of the study are as follows. First, there is low correlation between income-poverty and housing-poverty. Second. there is differences of household characteristics between only housing-poverty household and only income-poverty household or income and housing poverty household. Third, living in sub-standard housing conditions has statistically significant negative effect on school achievement even after controlling for income-poverty, sex, self-esteem, adaptation to school life, family type, mother's education, private education cost, rearing behavior. The findings of this study suggest that more active housing policy approach is needed to support development of children living in sub-standard housing conditions. Based on this research, we present needed policies in the conclusion.

• The Korean Journal of Applied Statistics
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• v.8 no.2
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• pp.43-54
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• 1995

The fishery household economy survey is a sample survey which produce estimates on the fishery household economy and fishery management in Korea. We propose a sample design for this survey. This design is developed based on results of 1990 fishery census and Shi-Do is assumed to be subpopulation for Shi-Do estimates. Samples are selected by stratified two-stage cluster sampling in Shi-Do and income function is found for stratification. Fishery household income is estimated by a linear estimator.