• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.1
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• pp.139-154
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• 2015

This paper uses the Heckman model to evaluate the income difference between the public sector and the private sector based on the CHNS data. The research finds that the difference of the public sector versus the private sector between the west area and the east area is about 10% from 1989 to 2000, the transition of the income difference is smooth, that data has made sharp increase to 32% from 2000 to 2011. Considering the income difference between the west area and the central area, the central area and the east area from 1989 to 1997, the data is about 10~15%, from 2000 to 2011 is rocketing time, the data reaches 20%. This paper is very revealing about the income difference ofthe public sector versus the private sector is increasing year after year, and the economy is developing rapidly but with imbalance among different areas in China. It would provides the reference for adjust the income distribution system in future.

• Journal of Preventive Medicine and Public Health
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• v.53 no.2
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• pp.143-148
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• 2020

Objectives: We calculated life expectancy and inequalities therein by income for the period of 2016-2018 across the 253 electoral constituencies of the 20th National Assembly election in Korea. Methods: We obtained population and death data between 2016 and 2018 from the National Health Information Database and constructed abridged life tables using standard life table procedures according to gender and income quintiles for the electoral constituencies of the 20th National Assembly election held in 2016. Results: Life expectancy across the 253 constituencies ranged from 80.51 years to 87.05 years, corresponding to a gap of 6.54 years. The life expectancy difference by income across the 253 constituencies ranged from 2.94 years to 10.67 years. In each province, the difference in life expectancy by income across electoral constituencies was generally greater than the inter-constituency differences. Constituencies in capital and metropolitan areas showed a higher life expectancy and a lower life expectancy difference by income than constituencies in rural areas. Conclusions: Pro-rich inequalities in life expectancy by income existed in every electoral constituency in Korea. Both intra-constituency and inter-constituency socioeconomic inequalities in health should be highlighted in future policy-making in the National Assembly.

• Journal of Family Resource Management and Policy Review
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• v.19 no.4
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• pp.19-33
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• 2015

The purpose of this study is to explain. It also examines and compares factors influencing life satisfaction among the middle-aged at various income levels. The data source for this study was the third additional wave and the fourth wave of the Korean Retirement and Income The study sample consisted of 1,723 middle-aged (age 50-64) individuals. The data analysis methods included the chi-square test, ANOVA, and multiple regression analysis. The results were as follows. First, there was a positive relationship between old age preparation and life satisfaction. Second, it was found that old age preparations (physical, emotional, social, financial) and life satisfaction show meaningful relationships among the income levels. Third, old age preparation was found to have different meaningful impacts on life satisfaction among the income levels. The results of this study verify the degree of the relationship between old age preparation and life satisfaction and the different impact factors relating to old age preparation for life satisfaction among the income levels.

• Journal of Preventive Medicine and Public Health
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• v.47 no.2
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• pp.104-112
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• 2014

Objectives: To date, studies have not comprehensively demonstrated the relationship between stroke incidence and socioeconomic status. This study investigated stroke incidence by household income level in conjunction with age, sex, and stroke subtype in Korea. Methods: Contributions by the head of household were used as the basis for income levels. Household income levels for 21 766 036 people were classified into 6 groups. The stroke incidences were calculated by household income level, both overall within income categories and further by age group, sex, and stroke subtype. To present the inequalities among the six ranked groups in a single value, the slope index of inequality and relative index of inequality were calculated. Results: In 2005, 57 690 people were first-time stroke patients. The incidences of total stroke for males and females increased as the income level decreased. The incidences of stroke increased as the income level decreased in those 74 years old and under, whereas there was no difference by income levels in those 75 and over. Intracerebral hemorrhage for the males represented the highest inequality among stroke subtypes. Incidences of subarachnoid hemorrhage did not differ by income levels. Conclusions: The incidence of stroke increases as the income level decreases, but it differs according to sex, age, and stroke subtype. The difference in the relative incidence is large for male intracerebral hemorrhage, whereas the difference in the absolute incidence is large for male ischemic stroke.

• Journal of Forest and Environmental Science
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• v.25 no.1
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• pp.43-48
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• 2009

Forests render both a home and a livelihood for people living in and around them. To reconcile the need of local communities with conservation, the Nishorgo Support Project (NSP or Nishorgo) is supporting co-management in five protected areas of Bangladesh, including Rema-Kalenga Wildlife Sanctuary. The main focus of this study is to assess the effectiveness of alternate income generating activities (AIGAs) which is provided by the Nishorgo Support Project. It is a tool for reducing dependence on forest resources by people living in and around Rema-Kalenga Wildlife Sanctuary and also play effective role in forest conservation. This study compares the socioeconomic condition (income, living style etc.) and forest dependency before and after implementation of co-management activities in Rema-Kalenga Wildlife Sanctuary. A total of 11 villages (sampling intensity was 31%) namely Kalibari, Mongoliabari, Chokidarbari, Chonbari, kalenga, Krishnochura, Hatimara, Himalia, Rashidpur, Goramchori and Horinmara were studied. We surveyed 272 households in these villages (Incase of households survey, sampling intensity was 100%). Data analysis shows that the major income generating livelihood activities were agro farming (30%), followed by fuelwood collection (22.50%), nursery raising (12.5%), cattle rearing (10%), fisheries (7.50%) and others. Study also reveals that after being implementation of the co-management activities the average income levels of the studied villages have rises on 578 Tk/households (1US$ = 70 Taka, Taka means Bangladeshi currency). Further more, many of the illegal loggers became forest protector, which make their life more secured. It was also found that peoples of the study villages are now actively engaging in forest management activities and it is the only hope for conservation and restoration of forest resources not only in Rema-Kalenga Wildlife Sanctuary but also in other protected area's of our country.

• Journal of Families and Better Life
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• v.4 no.2
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• pp.67-88
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• 1986

This study attempts to explain the income and consumption problems of urban low-income consumers and to explore factors of their poverty. For the purpose of this study, interviews were conducted with 124 low-income home managers. All the subjects live in Seoul and Inchon. The major findings are: First, low-income families seriously suffer from low income and small property. And the degree of economic hardship is the most serious with wife-working families whose husbands have no job or are dead. Second, low-income consumers have low budgeting and purchasing skill. Third, low-income consumers have 'doing' orientation but have fatalistic value orientation. This study suggests that it is necessary to develop an integrative measurement of economic hardship. It also suggests that low level of low-income consumer's skill can be well explained in terms of man-nature value orientation.

• Journal of Digital Convergence
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• v.16 no.6
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• pp.151-161
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• 2018

Income is a vital aspect of economic life. Knowing what their income will help people create budgets that allow them to pay for their living expenses. Income data is used by banks, stores, and service companies for marketing purposes and for retaining loyal customers; it is a crucial demographic element used at a wide variety of customer touch points. Therefore, it is essential to be able to make income predictions for existing and potential customers. This paper aims to predict employment earnings or income based on history, and uses machine learning techniques such as SVMs (Support Vector Machines), Gaussian, decision tree and DCNNs (Deep Convolutional Neural Networks) for predicting employment earnings. The results show that the DCNN method provides optimum results with 88% compared to other machine learning techniques used in this paper. Improvement of the data length such PCA has the potential to provide more optimum result.

• Journal of Preventive Medicine and Public Health
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• v.51 no.6
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• pp.310-319
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• 2018

Objectives: This study examined trends in inequality in cigarette smoking prevalence by income according to recent anti-smoking policies in Korea. Methods: The data used in this study were drawn from three nationally representative surveys, the Korea National Health and Nutrition Examination Survey, the Korea Community Health Survey, and the Social Survey of Statistics Korea. We calculated the age-standardized smoking prevalence, the slope index of inequality, and the relative index of inequality by income level as a socioeconomic position indicator. Results: Smoking prevalence among men decreased during the study period, but the downward trend became especially pronounced in 2015, when the tobacco price was substantially increased. Inequalities in cigarette smoking by income were evident in both genders over the study period in all three national surveys examined. Absolute inequality tended to decrease between 2014 and 2015 among men. Absolute and relative inequality by income decreased between 2008 and 2016 in women aged 30-59, except between 2014 and 2015. Conclusions: The recent anti-smoking policies in Korea resulted in a downward trend in smoking prevalence among men, but not in relative inequality, throughout the study period. Absolute inequality decreased over the study period among men aged 30-59. A more aggressive tax policy is warranted to further reduce socioeconomic inequalities in smoking in young adults in Korea.

• Human Ecology Research
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• v.62 no.3
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• pp.409-426
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• 2024

The purpose of this study was to analyze the financial portfolios of single-person households. For the analysis, data from the Korean Labor Panel Survey (2021) was utilized, comprising 2,905 single-person households. The major findings are as follows: First, the proportion of households with monthly savings was 32.0%, while the proportion of households holding financial assets was 72.1%. Second, regarding the composition of monthly savings, single-person households predominantly held savings accounts (93.3%), followed by insurance (4.7%), with cumulative funds at a mere 0.8%. The composition of financial assets showed that the majority were in bank deposits (78.5%), followed by risk management assets (18.0%), and investment assets (2.4%). Third, multivariate analysis results revealed that younger age, higher education level, and better financial factors were associated with a higher probability of having monthly savings. The results for financial assets were largely similar, with females showing a higher likelihood of asset possession compared to males. Fourth, the proportions of both bank savings in total savings and insurance generally had opposing effects. Fifth, age group had the greatest influence on the proportions of safety and insurance assets, followed by income group. Middle-aged households had lower proportions of safety assets but higher proportions of insurance assets compared to young households, while the opposite trend was observed for elderly households. Middle-income households had higher proportions of insurance assets compared to low-income households, whereas high-income households had higher proportions of investment assets. Lastly, cluster analysis categorized single-person households' financial portfolios into five groups: Group 1 (32.2%): "Old-Sustain" characterized by insufficient current income but economically stable retirement. Group 2 (29.4%): "Financially Active" engaging in various financial activities due to relatively high education and employment rates. Group 3 (28.0%): "Financially Inactive" classified as elderly groups with minimal financial activities. Group 4 (9.1%): "Risk Financial Structure" consisting of relatively young individuals focused on risk management assets but facing issues in financial asset management due to high-risk assets and financial loans. Group 5 (1.3%): "Stable-Insurance Oriented" with high financial assets and income concentrated in insurance for both savings and financial assets.

• Journal of Korean Society of Forest Science
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• v.106 no.4
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• pp.473-479
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• 2017

This study is to analyze differences in gross income between only forestry and agroforestry. In addition, cost structure and management performance on poultry farming was surveyed. The study sites were three forestry households located in Chungju, Kyungsan and Hwacheon. The method of its management performance were conducted by interview. And, survey items of the performance were operating expenses items and gross income items in 2015. As a result of study, gross income of Chungju business model was 25,608,000 won. The operating cost was 20,217,571 won so that the net income was 5,390,429 won. In case of Gyeongsan, gross income was 33,950,000 won and the operating cost was 18,655,714 won. Thus, the net income was 15,494,286 won. Hwacheon business model showed that gross income was 31,850,000 won, the operating cost was 13,143,000 won. Thus, the net income was 18,707,000 won. And, break-even point of sale volume, which meets cost, was 617 chicken in Chungju, 125 chicken in Gyeongsan, and 63 chicken in Hwacheon. In terms of selling cost-per-production ratio, Chungju business model was 79%, Kyungsan was 55% and Hwacheon was 41%. The results of this study indicates that margin ratio per chicken was 21% in Chungju, 45% in Kyungsan and 59% in Hwacheon. On Agroforestry, increasing rate for gross income was evaluated by 16% in Chungju, 18% in Gyeongsan and 11% Hwacheon.