• 제목/요약/키워드: public capital

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공공도서관 이용을 통한 사회자본 형성에 관한 연구 (A Study on the Creation of Social Capital Through the Use of Public Libraries)

  • 이승민
    • 한국비블리아학회지
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    • 제27권2호
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    • pp.29-50
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    • 2016
  • 본 연구에서는 공공도서관이 사회자본을 형성하는데 미치는 영향 및 사회자본의 형성에 있어 수행하는 역할 등을 공공도서관 이용자들을 대상으로 한 설문조사를 통해 실증적으로 살펴보았다. 분석 결과, 공공도서관의 이용은 주로 개인적인 정보활동 수준에서 이루어지고 있으며, 사회적인 수준에서 다른 사람들과의 상호 교류나 신뢰 형성으로 이어지지는 않는 것으로 나타났다. 하지만, 공공도서관에서 이루어지는 개인의 정보활동이 다른 사람들과의 정보의 공유나 의견 교환으로 연결되면, 이는 공공도서관을 매개로 한 사회적 관계의 형성을 가져올 수 있다는 점이 나타났으며, 도서관 이용자들을 사회적인 차원에서의 호혜적인 활동으로 유도할 수 있는 잠재성을 보이고 있다. 이러한 결과를 통해 보면, 공공도서관은 사회구성원들의 정보활동뿐만 아니라 사회자본의 형성이라는 사회적인 책무를 고려한 사회적 기관으로서의 기능을 보다 강화하기 위한 노력이 필요할 것으로 보인다.

정부출연 연구기관의 지적자본 측정지표 개발 : E연구원의 사례를 중심으로 (Measurement Indicators for Intellectual Capital in Public Research Institute)

  • 이찬구;김동영;박상규;황영하;한경희;김용구
    • 기술혁신학회지
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    • 제8권1호
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    • pp.51-76
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    • 2005
  • This paper aims to develop the intellectual capital (IC) indicators which are the most available for the E institution, a typical type of public research institute in Korea. In this paper, we basically adopted the "Intangible Assets Monitor" proposed by Sveiby and comprising three kinds of intellectual capital, namely human capital, internal structure capital and relationship capital, as a research framework. For this work, we firstly identified 12 categories and 27 components of intellectual capital for E institution. Next, we extracted 37 main indicators and 94 sub ones from these categories and components as a whole. As a result, it may be the first time in Korea for E institution of develop its own IC indicators which are slightly, or sometimes totally, different from ones for private companies in the perspective of their organizational attributes and characteristics.

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중년기 가계의 노후준비에 영향을 미치는 요인 : 인적자본 투자의 영향을 중심으로 (Factors Affecting Middle-aged Households' Financial Preparation for Retirement : Focus on Human Capital Investment for Children)

  • 조경진;김순미
    • 가족자원경영과 정책
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    • 제16권4호
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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.

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Clinical Risk Factor Analysis for Breast Cancer: 568,000 Subjects Undergoing Breast Cancer Screening in Beijing, 2009

  • Pan, Lei;Han, Li-Li;Tao, Li-Xin;Zhou, Tao;Li, Xia;Gao, Qi;Wu, Li-Juan;Luo, Yan-Xia;Ding, Hui;Guo, Xiu-Hua
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권9호
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    • pp.5325-5329
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    • 2013
  • Objectives: Although there are many reports about the risk of breast cancer, few have reported clinical factors including history of breast-related or other diseases that affect the prevalence of breast cancer. This study explores these risk factors for breast cancer cases reported in Beijing in 2009. Materials and Methods: Data were derived from a Beijing breast cancer screening performed in 2009, of 568,000 women, from 16 districts of Beijing, all aged between 40 and 60 years. In this study, multilevel statistical modeling was used to identify clinical factors that affect the prevalence of breast cancer and to provide more reliable evidence for clinical diagnostics by using screening data. Results and Conclusion: Those women who had organ transplants, compared with those with none, were associated with breast cancer with an odds ratio (OR)=65.352 [95% confidence interval (CI): 8.488-503.165] and those with solid breast mass compared with none had OR=1.384 (95% CI: 1.022-1.873). Malignant tendency was strongly associated with increased risk of breast cancer, OR=207.999(95% CI: 151.950-284.721). The risk of breast cancer increased with age, $OR_1$=2.759 (95% CI: 1.837-4.144, 56-60 vs. 40-45), $OR_2$=2.047 (95% CI: 1.394-3.077, 51-55 vs. 40-45), $OR_3$=1.668 (95% CI: 1.145-2.431). Normal results of B ultrasonic examination show a lower risk among participants, OR= 0.136 (95% CI: 0.085-0.218). Those women with ductal papilloma compared with none were associated with breast cancer, OR=6.524 (95% CI: 1.871-22.746). Therefore, this study suggests that clinical doctors should pay attention to these high-risk factors.

Factors Affecting Public Non-compliance With Large-scale Social Restrictions to Control COVID-19 Transmission in Greater Jakarta, Indonesia

  • Rosha, Bunga Christitha;Suryaputri, Indri Yunita;Irawan, Irlina Raswanti;Arfines, Prisca Petty;Triwinarto, Agus
    • Journal of Preventive Medicine and Public Health
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    • 제54권4호
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    • pp.221-229
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    • 2021
  • Objectives: The Indonesian government issued large-scale social restrictions (called Pembatasan Sosial Berskala Besar, or PSBB) at the beginning of the coronavirus disease 2019 (COVID-19) pandemic to control the spread of COVID-19 in Jakarta, Bogor, Depok, Tangerang, and Bekasi (Greater Jakarta). Public compliance poses a challenge when implementing large-scale social restrictions, and various factors have contributed to public non-compliance with the regulation. This study aimed to determine the degree of non-compliance and identify the factors that contributed to public non-compliance with the PSBB in Greater Jakarta, Indonesia. Methods: This was a quantitative study with a cross-sectional design. A total of 839 residents of Greater Jakarta participated in this study. Data were collected online using a Google Form, and convenience sampling was undertaken. Univariate and multivariate analyses were performed to explore the relationships between public non-compliance with the PSBB regulation and socio-demographic variables, respondents' opinion of the PSBB, and social capital. Results: A total of 22.6% of subjects reported participating in activities that did not comply with the PSBB. The variables that most affected non-compliance with the PSBB were age, gender, income, opinion of the PSBB, and social capital. Conclusions: Strengthening social capital and providing information about COVID-19 prevention measures, such as washing one's hands with soap, wearing masks properly, and maintaining social distancing, is essential. Robust public understanding will foster trust and cooperation with regard to COVID-19 prevention efforts and provide a basis for mutual agreement regarding rules/penalties.

Impacts of Foreign Direct Investment on Human Capital in ASEAN

  • NGUYEN, Hoi Van;NGUYEN, Thuy Thi Thu;TO, Tha Hien;DANG, Duong Quy;Luong, Trang Thi Dai
    • 유통과학연구
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    • 제18권9호
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    • pp.13-18
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    • 2020
  • Purpose: Research and development of human capital in countries bring sustainable development to the nations. Especially for developing countries, the attraction of foreign direct investment not only brings economic growth to the country but also contributes to improving human capital. This study aims to assess the impact of foreign direct investment on human capital in ASEAN countries. Research design, data and methodology: With data collected from ASEAN countries from 1990 to 2019, panel data analysis is performed with revised model types (the Pooled OLS, Fixed effect model, Random effect model and regression with Driscoll-Kraay standard errors). Result: The results of the regression analysis show that FDI has a positive impact on human capital. At the same time, the study also found that public investment in education also positively affects human capital; the life expectancy factor does not affect human capital. Conclusions: With this research result, the authors also proposed a number of solutions to improve human capital by attracting FDI and improving the efficiency of investment for the education of ASEAN countries. Besides, public expenditure on education also plays an important role in raising human capital. Therefore, investment in education should be promoted further in the future.

국제기구 및 국가 개발 사회자본 측정도구 비교 (A Comparison of Social Capital Tools Developed by International Institutes and Nations)

  • 김은미;배상수
    • 농촌의학ㆍ지역보건
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    • 제37권3호
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    • pp.111-130
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    • 2012
  • Objective: The purpose of this study was to identify and compare social capital measurement tools for the convenient use in public health studies. Method and result: This study examined and compared social capital tools developed individually by the World Bank, the OECD, the United States, United Kingdom, Canada, Australia, Ireland, and Korea. A comprehensive framework was constructed with six conceptual dimensions and sixteen indices. The six dimensions included Membership, Network, Trust, Information and communication, Social and civic participation, and Social cohesion and exclusion, which connoted the structural, cognitive, bonding, bridging, operative, and output elements. The indices of each tool were respectively matched to the indices of the comprehensive framework. The comprehensive tools were Integrated Questionnaire for the Measurement of Social Capital (SC-IQ) of the World Bank with 27 questions and the European Social Survey (ESS) of the OECD with 80 questions. Conclusion: The SC-IQ should be utilized in public health studies due to its simplicity yet comprehensiveness as a social capital tool. The ESS should also be considered as a comprehensive tool.

Examining Relationship among Intellectual Capital, Internal Collaboration, External Collaboration and Distribution Performance

  • AKIL, Sawir Rifatullah;SOEMARYANI, Imas;HILMIANA, Hilmiana;JOELIATY, Joeliaty
    • 유통과학연구
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    • 제20권7호
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    • pp.1-9
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    • 2022
  • Purpose: This study aims to examine the effect of intellectual capital on both internal and external collaboration and its impact on distribution performance enhancement in public sector. Research design, data, and methodology: The study applied quantitative approach with the help of AMOS Structural Equation Modelling. The unit of analysis is the Indonesian local government. The research involved 430 leaders from local government agencies as respondents. Results: This study found that intellectual capital positively influences both internal and external collaboration as well as distribution performance. Furthermore, the current research confirms the different effect of internal collaboration and external collaboration on distribution performance; internal collaboration positively affects distribution performance, while the external one does not. Eventually, internal collaboration mediates the indirect effect of intellectual capital on distribution performance, whereas the external collaboration does not. Conclusions: This study strengthens and complements the lean stream by confirming the role of intellectual capital as critical antecedent of internal collaboration, external collaboration, and distribution performance. Moreover, this research underlines the critical role of internal collaboration as the intercourse which supports distribution performance enhancement in public sector. Lastly, the study highlights the benefits of external collaboration in distribution practice if appropriately and wisely managed.

Revisiting Social Discount Rates for Public Investment

  • SONG, JOONHYUK
    • KDI Journal of Economic Policy
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    • 제39권2호
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    • pp.75-98
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    • 2017
  • This paper aims to estimate the social discount rate (SDR) rather than dig into its theoretical foundation. As SDRs can be derived by investigating both the rate of return on investment and the social time preference rate, we estimate the marginal productivity of both private and public capital and the time preference rate based on the Euler equation. In order to provide a single representative SDR, the weighted averages of the marginal productivity and time preference rate, whose weights are determined by the flow of funds data reflecting the social demand of funds, are presented. Based on the empirical results, we argue that the marginal productivity of private capital stands in the middle of the 3% range while that of public capital varies from 4.5% to 8.6%, with the time preference rate showing a decreasing trend from 3.2% in the early 2000s to 1.2% by around 2030. The single representative SDR or the weighted SDR is estimated to be approximately 3.0~4.5% and expected to continue its downward trend for the foreseeable future.

지역거점 공공병원의 환경적 요인에 따른 생산성 분석 (Analysis of Productivity by Environmental Factors in Regional Base Public Hospitals)

  • 이진우
    • 한국병원경영학회지
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    • 제22권3호
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    • pp.46-60
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    • 2017
  • The purpose of this study is to analyze the difference of productivity according to environmental factors among 25 Regional base public hospitals. Also this study is to propose a method to improve the productivity of Regional base public hospitals in the future by improving the public performance and stable management performance by studying the productivity variables affecting profitability. The survey period was based on the last three years, and 25 Regional base public hospitals were selected for the survey. The dependent variable is the total capital medical marginal profitability and the medical profit marginal profitability which are the indicators of profitability. The independent variable, productivity, is classified into three indicators: capital productivity, labor productivity, and value added productivity. The ANOVA analysis method was used to analyze the productivity difference according to the frequency factor and the environmental factors of the Regional base public hospitals. Finally, we conducted a hierarchical regression analysis to examine the productivity variables affecting profitability. The results of this study showed that there were differences in productivity due to environmental factors such as hospital size, competition in the local medical market, and differences in management performance. The difference in productivity and profitability depending on the environmental factors suggests that it is difficult for Regional base public hospitals in each regional base to perform a balanced public service. In order to overcome this, it is necessary to provide balanced medical services such as government financial support expansion, regional medical demand forecasting and facility infrastructure construction.