• Journal of Information Science Theory and Practice
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• v.4 no.2
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• pp.21-33
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• 2016

A sustainable development in science, innovation, and technology requires a balanced distribution of scientific wealth in sub-country regions. This paper addresses the issue of geographical distribution of scientific wealth and its goal is to offer a framework to describe and measure the share of provinces in national scientific wealth. Our proposed model divides the indicators of scientific wealth into two groups, production and the use of scientific wealth. To evaluate this model, the scientific wealth of Iran was studied using recorded data on IRANDOC databases. Rich, average, and poor provinces were identified and the results showed that 70% of the scientific wealth belongs to 20% of the provinces. The findings can facilitate planning for a sustainable science and technology policy.

• Journal of Family Resource Management and Policy Review
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• v.7 no.2
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• pp.45-57
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• 2003

This study analyzed the differences in household debt characteristics by wealth levels. The dataset used was the 2000 National Survey of Family Income and Expenditure. The major findings of this study were as follows; First, about 49% of sample owned some amounts of debt. Household in high wealth levels had lowest debt burden while households in low wealth level had highest debt burden. Second, the amounts of debt owed to financial agents were highest regardless of wealth levels. Third, all groups borrowed money for the purpose of purchasing real estate.

• Journal of Preventive Medicine and Public Health
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• v.42 no.5
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• pp.275-282
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• 2009

Objectives : This study aimed to verify the association between wealth or income level and health status after adjusting for other socio-economic position (SEP) indicators among Korean adults aged 45 and over. Methods : Data were obtained from the 1st wave of Korean Longitudinal Study of Ageing (households: 6,171, persons: 10,254). We used self-rated health status and activities of daily living (ADLs) as dependent variables. Explanatory variables included both net wealth measured by savings, immovables, the other valuated assets and total income including pay, transfer, property and so on. Binary logistic regression was conducted to examine the relationships. Also, in order to determine the relative health inequality across economic groups, we estimated the relative index of inequality (RII). Results : The inequality of health status was evident among various wealth and income groups. The wealthiest group (5th quintile) was much healthier than the poorest group, and this differential increased with age. Likewise, higher income was associated with better health status among the elderly. However, these effects, as measured by the odds ratio and RII, showed that wealth was more important in determining health status of elderly people. Conclusions : This study suggests that economic capability plays a significant role in determining the health status and other health-related problems among the elderly. Particularly, our results show that health status of the aged is related more closely to the individual s wealth than income.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.3
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• pp.43-54
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• 2006

The National Wealth Survey Method has been used to estimate capital stocks in Korea by the Korea National Statistical Office in every 10 years. However, this method requires huge amount of time and money, Since the Benchmark Year Method also has similar problems of difficulties to estimate the annual retirement rate and depreciation, the Korea National Statistical Office is now considered to adapt the Perpetual Inventory Method being used by the most OECD countries as an alternative. Hence, in this paper, the concepts of the Perpetual Inventory Method are introduced and its formation plans for the National Wealth Survey are suggested.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.4
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• pp.170-181
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• 2007

The purpose of computing economic depreciation value is to find valuation of assets closely in line with market prices. The valuation of industrial assets are called Engineering Valuation. The two representative techniques for such valuation are Hulten-Wykoff Method, which estimates real value using regression equations, and T-factor Method devised at Iowa State University. The two are all empirical methods for computing service life (duration period). In this paper, we derived the service life by empirical methods using national wealth statistics, and also by more conventional methods such as original group method and retirement method. The results from each method are compared with one another. We also computed economic service life from these results. In S. Korea where amount of asset value statistics is still insufficient, the most effective method for empirically computing economic service life turns out to be the one using national wealth statistics. In addition, we also present economic relationship between depreciation value computed by using Hulten-Wykoff Method and depreciation value computed by using T-factor Method.

• IE interfaces
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• v.24 no.3
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• pp.173-186
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• 2011

In this paper, we evaluate life annuity plans for Korean pre-retired single and married couple participating Korea National Pension (KNP) and find optimal life annuity strategy by using utility-based measurements called AEW (Annuity Equivalent Wealth). Specifically, we extend a previous study to obtain a detailed optimal combination of annuitizing age and wealth in terms of percentage of net wealth at the time of retirement. A nonlinear optimization model is formulated with the objective of maximizing utility on consumption and bequest, and the dynamic programming (DP) technique is used to solve this problem. We find that there exist consistent patterns in optimal combinations of annuitizing age and wealth. Also, for all cases the optimal combination is significantly better than several other combinations. The results indicate that using the optimal approach can be beneficial to practitioners in insurance industry and prospective purchasers of life annuity. We conclude the paper with some discussions and suggestions.

• Journal of People, Plants, and Environment
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• v.24 no.6
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• pp.651-662
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• 2021

Background and objective: This study identifies whether children's planning-organizing executive function can be significantly classified and predicted by home environment quality and wealth factors. Methods: For empirical analysis, we used the data collected from the 10th Panel Study on Korean Children in 2017. Using machine learning tools such as support vector machine (SVM) and random forest (RF), we evaluated the accuracy of the model in which home environment factors classify and predict children's planning-organizing executive functions, and extract the relative importance of variables that determine these executive functions by income group. Results: First, SVM analysis shows that home environment quality and wealth factors show high accuracy in classification and prediction in all three groups. Second, RF analysis shows that estate had the highest predictive power in the high-income group, followed by income, asset, learning, reinforcement, and emotional environment. In the middle-income group, emotional environment showed the highest score, followed by estate, asset, reinforcement, and income. In the low-income group, estate showed the highest score, followed by income, asset, learning, reinforcement, and emotional environment. Conclusion: This study confirmed that home environment quality and wealth factors are significant factors in predicting children's planning-organizing executive functions.

• International Journal of Human Ecology
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• v.2 no.1
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• pp.17-38
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• 2001

The purpose of this study is to take a new look at factors affecting the spending of retired elderly households by identifying the effects of different types of wealth components, along with socio-demographic factors, on current consumption. A tobit linear regression model was utilized to estimate parameters in the consumption functions. Data was drawn from the 1990 Consumer Expenditure Survey, Interview Survey in the United States.Total consumption and various consumption categories were the most responsive to changes in annual income flow and the least responsive to changes in property assets. The four wealth components differed in their influence on consumption categories among retired elderly households. In addition, age, residential area, household type, and education were found to be significant factors affecting total consumption and consumption categories of the retired elderly.

• 한국노년학
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• v.29 no.1
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• pp.215-230
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• 2009

In this study, we compared Korean retirees' retirement wealth adequacy with their subjective recognition and examined determinants affecting the retirement wealth adequacy. The data were drawn from the 2007 Korean Retiree Survey carried out by the Korean Investors Education Foundation. The major results of this study were as follows. The analysis suggested that Korean retirees(age 50 and over) were not well prepared financially. When using their assets(except for their residence), only 23.2% had accumulated enough wealth to meet their expenses for the remainder of their life. 25.7% of retirees subjectively considered themselves to be adequately covered. The comparison results showed that 23.8% of retirees' subjective recognition was not in accord with the estimation results. One of the most troubling groups is the 12.9% of retirees who were in the inadequacy group even though they considered themselves to be in the adequacy group. Retirement wealth adequacy determinants were quite different between objective adequacy and subjective recognition. Household income and ownership of a residence have positive effects on the retirement wealth adequacy. Also, the importance of retirement planning to retirement wealth adequacy is statistically confirmed. Based on these findings, This research suggests private retirement planning and political implications for retirees and preretired households.

• Journal of the Economic Geographical Society of Korea
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• v.22 no.2
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• pp.196-213
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• 2019

This paper attempts to analyze the contribution of different socioeconomic factors such as income, age, gender, household composition, education and employment status etc. to the difference between the Capital and Non-Capital Regions in the net wealth inequality of household in Korea. To this end, a two-stage Oaxaca-Blinder type decomposition is employed regarding the regional gap in the inequality of net wealth based upon the Recentered Influence Function of the Gini index for 'the 2018 Household Finance and Living Conditions Survey.' Despite the shortcomings of the survey data on wealth, the findings reveal that regional differences in income, marriage status (divorce), job type (agriculture, forestry and fishery related, and technical and assembly), family type (multi-cultural) variables deepen the regional gap in the net-wealth inequality, but employment status (full-time), job type (administrative and specialized, and service sales), household size variables mitigate the gap, and that regional differences in life cycles play an offsetting role.