• Journal of Distribution Science
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• v.4 no.1
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• pp.5-26
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• 2006

As the capital of knowledge becomes more important than traditional capital like land or labor in the 21st century, the most competitive resource for corporations is knowledge. Furthermore, corporations may evaluate and improve latent knowledge of 'intellectual capital(IC)' within organizations, which will enhance their performance in the future. However, most Korea Distribution Companies have evaluated only tangible assets, ignoring latent capital. Since enterpreneurs have recognized that they cannot explain the difference between maret value and book value, the major advanced states lead to more sophisticated techniques to evaluate IC value. Although it is extremely important and urgent to evaluate IC value, the indexes of evaluating IC have never been examined and have been adopted by many corporations. Therfore, this study intends to develop a index for IC valuation. This study hopes to give some insights into the practical use of intellectual capital for the Korea Distribution Companies and help them develop a strategic perspective to enhance their competitiveness.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.259-264
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• 2018

This study analyzes whether the national scholarship system achieves the policy goal to provide the half-tuition and suggests ways to improve the policy. The study finds that the national scholarship system provides free education for students from under 2nd decile income and the half-tuition for students from under 6th decile. However, since students don't feel fully the effect of the policy, this study proposes policy improvements on new approaches to public communications. Also is suggested the necessity to change the policy tool from debt-like to equity-like investment.

• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.18 no.2
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• pp.3-11
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• 2004

세계는 인터넷과 정보기술을 기반으로 하는 디지털경제 (Digital Economy)의 급속한 진전으로 지식$.$정보의 창출과 유통이 사회발전을 견인하는 지식기반사회 (Knowledge based Society)로 전환되고 있으며 기술혁신이 국가경제를 리드하여 과거 설비투자나 원가절감으로 경쟁우위를 확보하던 시대에서 벗어나, 신기술 확보, 인적 및 지적 자본 등이 국가 및 산업의 경쟁력을 좌우하는 기술$.$지식 경쟁시대에 진입하고 있다. 이러한 21C 신지식경제시대를 주도하기 위해 해외 선진 각국에서는 자국의 산업육성 및 국민의 삶의 질 향상을 위해 지능형 홈네트워크에 대한 기술개발 및 표준화와 시범사업을 적극적으로 추진하고 있다. (중략)

• Journal of the Korean Home Economics Association
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• v.34 no.5
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• pp.49-66
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• 1996

The purpose of this study is to identify how the households invest in their children as a human capital. In addition, contributing factors to households' human capital investment was examined. The results of this study are as follows; First, Average number of children 2 children of surveyed housewives, full time housewives had more time spent for children than working counterparts. The former spent 6.8 hours a day with the latter 4.98 hour a day while both of them shared the most time in nonphysical care of their children. meanwhile, money paid for children was that full time housewife family spent 1,014,000 and a working housewife family paid 974,000. Second, In the full time housewives, total amount of time housewives spend for their children was greatly influenced by the income, the age of the youngest child, and emotional value. The housewives' educational level, life cycle, and an income were a significant impact on money investment. Total investment was influenced by the housewives' educational level, life cycle, income, and the number of children.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.339-348
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• 2021

This paper aims to analyze the production efficiency in Korea's ten service sectors using DEA and its determinants utilizing a truncated-Tobit regression model and a censored-Tobit regression model in 2010-2019. This paper found: First, the Korean service sector's production efficiency in general has been significantly low and polarized. Especially, the inefficiency resulted from the scale inefficiency in the 'sewerage waste management industry.' Second, in the determinants analysis, the results show the positive effect of the investment and R&D expenses on technical efficiency, while FDI and lobbying expenses illustrate the negative impact. Moreover, it seems that the larger the industry, the higher the efficiency. Thus, the future Korean government's economic policy for the service sectors requires a mixed and integrated policy of the macroeconomic aspect such as active investment and R&D activities with microeconomic aspect including a convergence of FDI and human capital.

• Journal of Family Resource Management and Policy Review
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• v.16 no.4
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• pp.131-152
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• 2012

The aims of this study were to analyze middle-aged households' financial preparation for retirement. Specifically, this study surveyed the relation between human capital investment for children and the middle-aged households' financial preparation for retirement and investigated factors influencing financial preparation for retirement. Data were obtained from the 3rd Korean Retirement and Income Study (KReIS) in 2009, and a sample of 757 households was selected. The statistical methods were frequency, percentile, mean, standard deviation, ${\chi}^2$, t-test, Pearson's correlation coefficient, and logistic regression analysis. The findings of this study are as follows. First, the percentile of preparation for living costs for old age was 49.9% for the middle-aged households. In terms of the types of preparation for living costs for old age, the results showed 61.6% of personal preparation, 33.9% of pension system, and 1.3% for children and relatives. In relation to the adequacy of the preparations for living costs for old age, preparations made by 57.4% of the middle-aged households were inadequate. Observing the minimum living costs for old age and adequate living costs after retirement for single and couple, the minimum living costs of the middle-aged households was 1.46 million won for couple and 0.91 million won for single. The adequate living costs for old age was 2.07 million won for couple and 1.34 million won for single. Second, there were 757 households with total education expenditure. Of these, 208 incurred annual expenditure on public education, and the annual expenditure for public education was 7.28 million won. There were 170 households with annual expenditure for private education, and the annual expenditure for private education was 2.50 million won. 243 households of middle-aged households had annual expenditure for human capital investment, including both public and private education, with annual expenditure for human capital investment for children of 7.82 million won. Furthermore, in the human capital investment factor, there was a difference in the middle-aged households' financial preparation for retirement according to their annual expenditure for human capital investment including both public and private education. In addition, there was a difference in financial preparation for retirement based on their public education expenditure. Third, in the logistic regression model 1, which included human capital investment, the significant variables affecting the preparation for retirement of the middle-aged households were as follows : annual household income, total amount of annual household income, experience of inadequate living costs, existence of financial assets, total amount of annual household savings, financial independence, adequate living costs (for single) for old age, and human capital investment. In the logistic regression model 2, which included annual expenditure for public education and annual expenditure for private education, the significant variables affecting the preparation for retirement of the middle-aged households were as follows : annual household income, total amount of annual household income, experience of inadequate living costs, existence of financial assets, total amount of annual household savings, financial independence, adequate living costs (for single) for old age, and annual expenditure for public education.

• International Area Studies Review
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• v.15 no.3
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• pp.471-491
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• 2011

This study is to analyze the determinants of inflow FDI with panel data of 12 provinces in western region of China for the period, 1990-2007, from the perspective of market-oriented FDI and production-efficiency-oriented FDI. The empirical findings are following. First, the empirical results prior to the start of western development program show that the GRDP, the intense of industrialization and university graduates per 10,000 residents have positive coefficient signs at the significant level, while wage level has a negative and significant value. Second the empirical results using the data after the launching of the western development program show that the GRDP, the intense of industrialization have positive relations with FDI, while openness in terms of the ratio of international trade to GRDP and the wage level have negative coefficients. Finally, this thesis finds that the empirical results for both periods are very similar, which suggest that the economic structure in western region has not changed significantly even though almost a decade passed since the western development program launched.

• Journal of the Korean Home Economics Association
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• v.35 no.4
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• pp.229-242
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• 1997

the purpose of this study is to investigate the effect of household type on human capital enhancement expenditures and to compare the difference in these expenditures between female-hemale-headed and married-couple households. Data for this study were from the 1990-91 Consumer Expenditure Survey(CES) and consisted of a sample of 7,225 married-couple and 1,391 female-headed households with children under age 18. The dependent variable to measure human capital expenditures was the sum of four sub-components-education reading leisure and health care expenditures. Tobit analysis with a dummy variable for household type was used to identify the effect of household type on the dollars spent on human capital expenditures. The effect of household type was significant in human capital expenditures indicating that female-headed households spent significantly less for this category than did married-couple household holding other factors constant. the findings of this study suggested that income from a public assistance program was associated with lesser expenditures on human capital while social security income source was associated with greater human capital expenditures, It was also found that the addition of family members between ages of 6 and 17 positively affected human capital expenditures. Understanding these factors is useful for family resource management professionals who work with female-headed households.

• 한국벤처창업학회:학술대회논문집
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• 2018.04a
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• pp.155-158
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• 2018

교육훈련은 기업의 인적자본을 축적하고 혁신을 자극하여 공급측면을 확장한다. 또한 기업 경쟁력 강화에 따른 임금상승과 소비증대, 투자 확대 등 총수요 확장효과도 있다. 그러나 만성적인 현장의 인력 부족, 높은 비정규직 비율 등의 특성을 안고 있는 중소기업의 경우 근로자에 대한 교육훈련 비율이 상대적으로 낮은 것으로 나타나고 있다. 본 연구는 미래신산업으로 평가받고 있는 보건산업분야 교육담당자 및 교육생을 대상으로 교육참여 애로사항을 조사하고 정책적 시사점을 도출하였다. 첫째, 업종 및 기업규모와 관련 없이 가장 큰 애로요인은 교육에 참가할 시간부족이 나타났다. 업종별로는 병원분야가 제조업인 제약, 의료기기, 화장품분야 보다 시간적 제약에 대한 지적이 많아 병원분야 인력부족 문제가 교육 참여에도 영향을 미치고 있는 것을 보여주었다. 둘째, 지방소재 기업일수록 지리적 접근성을 애로요인으로 지적하고 있어 지역 교육 및 기업 현장으로의 찾아가는 교육의 필요성이 도출되었다. 셋째, 중소기업에서 교육정보 인지도를 문제로 지적했는데, 이는 교육 관련 조직이 미비한 중소기업일수록 교육정보 확보 및 사내전파가 낮기 때문으로 추정된다. 이러한 연구결과는 단기 다수교육과정 즉 카페테리아식 교육과정과 사이버과정을 통한 종사자들의 선택권 강화, 지역 및 기업 현장으로의 찾아가는 교육, 중소기업에 대한 지속적인 교육정보 제공 및 사내 전파, 교육참여 우수기업과 종사자에 대한 표창 등의 유인체계가 필요함을 시사한다.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.285-304
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• 2017

This paper introduces household's decision for schooling and firm's decision for technology-specific training together into the second generation model of endogenous innovation, and analyses how schooling and technology-specific training interact each other, how they respectively affect innovation and economic growth, and also how the portfolio mix of schooling and technology-specific training changes as economy becomes more innovative. Main results are as follows: First, schooling and technology-specific training both have "inverted-U"shape growth effects. Second, schooling investment per labor required for growth maximization is always greater than that for firm profit maximization. Third, the optimal schooling for growth maximization decreases with technology-specific training. Fourth, the schooling effect on technology-specific training is "U"shaped, so that for firm's profit maximization schooling is substitutable for technology-specific training at the relatively lower level of schooling but complementary at its relatively higher level. Fifth, as economy becomes more innovative, the portfolio mix of education changes in favor of schooling.