• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.1244-1249
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• 2005

Present PII(Private Infrastructure Investment) in Korea has increased up to 11% compared to the year 2003 and is expected to increase in the future. In spite of its rapid increase, we don't have any definite standard or system which distinctly presents the rate of return for domestic PII yet, and practical and scientific research is not sufficient compared to its necessity and importance. Hence, in this study we suggests methods to estimate the rate of return of PII to promote SOC PII to last successfully and present the proper level of rate of return of PII which is appropriate for domestic situations through diverse analysis. Therefore, to present reasonable rate of return, we have used 5 methods: previous research analysis, case study, financial index analysis, analysis of investor's rate of return, and analysis of rate of return in a real estate market. After comparing and analyzing these methods, at the end, we have presented the appropriate level of rate of return of PII, which can be applied in the domestic market.

• 한국건설관리학회논문집
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• 제5권6호
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• pp.179-190
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• 2004

정부는 재정 부담을 완화하면서 인프라를 구축할 수 있는 SOC민간투자사업제도를 도입하여 적극 장려하고 있다. 민간투자사업의 비중은 2003년을 기준으로 전체 SOC투자 중 $11\%$에 이를 만큼 비중이 크게 성장 하였으며 이와 같은 성장세는 당분간 지속될 것으로 판단된다. 하지만 민간투자사업에 참여하고 있는 사업자를 살펴보면 시공수익을 기대하는 시공사들이 전체 투자자의 $80\%$이상을 차지하고 있고, 은행, 보험, 연 $\cdot$ 기금 등의 재무적 투자자는 $3\%$ 수준에 그치고 있는 실정으로 민간투자사업의 효율적인 운영에 장애가 되고 있다. 그러므로 향후 지속적인 민간투자사업의 발전을 위해서는 투자재원을 다변화해야 할 것으로 판단되며, 이를 위해서는 사회적으로 합의된 적정 수준의 투자수익률이 우선적으로 제시 되어야 할 것이다. 따라서 본 연구에서는 재무적 투자자의 참여 활성화를 위한 적정 수준의 투자수익률을 제시하기 위하여 민간투자사업의 수익률과 관련한 이론을 살펴보고, 다양한 분석 방법을 통하여 국내 상황에 맞는 SOC민간투자사업의 투자수익률 수준을 제시하였다.

• 대한산업공학회지
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• 제12권2호
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• pp.89-99
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• 1986

The study attempts to estimate and evaluate the rates of return on graduate degree holders who major in science and engineering. The model of this study adopts the rate of return method considering unemployment as well as mortality rate. The data are collected by questionnaires and interviews. The results show that the social rate of return(SROR) of bachelors is lower than the rate of return on investment in physical capital which is assumed as a decision criterion of public investment in Korea, but the SROR of Ph.D. holders is balanced. The results also show that the private rates of return (PROR) of all the levels in postgraduate science and engineering education are higher than the private discount rate which is a decision criterion of private investment in Korea. It also indicates that the PROR on investment in graduate education is not likely higher than the SROR because an individual bears high share of the educational costs.

• 한국정보시스템학회지:정보시스템연구
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• 제28권4호
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• pp.333-358
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• 2019

Purpose The study aims to develop a data-based decision model for private bankers when recommending hedge funds to their customers in financial institutions. Design/methodology/approach The independent variables are set in two groups. The independent variables of the first group are aggressive investors, active investors, and risk-neutral type investors. In the second group, variables considered by private bankers include customer propensity to invest, reliability, product subscription experience, professionalism, intimacy, and product understanding. A decision-making variable for a private banker is in recommending a first-rate general private fund composed of foreign and domestic FinTech products. These contain dependent variables that include target return rate(%), fund period (months), safeguard existence, underlying asset, and hedge fund name. Findings Based on the research results, there is a 94.4% accuracy in decision-making when the independent variables (customer rating, reliability, intimacy, product subscription experience, professionalism and product understanding) are used according to the following order of relevant dependent variables: step 1 on safeguard existence, step 2 on target return rate, step 3 on fund period, and step 4 on hedge fund name. Next, a 93.7% accuracy is expected when decision-making uses the following order of dependent variables: step 1 on safeguard existence, step 2 on target return rate, step 3 on underlying asset, and step 4 on fund period. In conclusion, a private banker conducts a decision making stage when recommending hedge funds to their customers. When examining a private banker's recommendations of hedge funds to a customer, independent variables influencing dependent variables are intimacy, product comprehension, and product subscription experience according to a categorical regression model and artificial neural network analysis model.

• KDI Journal of Economic Policy
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• 제27권1호
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• pp.81-122
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• 2005

본고의 목적은 우리나라 기업의 연구개발투자의 특성을 파악하고 연구개발투자의 경제적 효과로 연구개발투자 수익률을 추정하는 것이다. 이를 위하여 695개 기업에 대한 8년간의 관측치가 존재하는 5,560개 표본으로 구성된 패널 데이터를 구축하였다. 패널 데이터를 이용하여 먼저 기업 연구개발투자의 특성을 파악하고자 하였다. 우리나라 기업의 연구개발투자의 특성은 선행 연구결과에서 정립된 이른바 정형화된 사실에서 벗어나지 않음을 확인할 수 있었다. 특히 강조할 점은 연구개발투자의 생산성 효과와 연구개발투자 자체의 생산성을 구별하여야 한다는 것이다. 즉, 연구개발투자를 많이 하는 기업이 생산성이 높은 것은 사실이지만 연구개발투자와 생산성 증가의 관련성은 높지 않으며, 연구개발투자에 있어서도 다른 실물투자와 마찬가지로 수익체증보다는 오히려 수익체감의 법칙이 작용한다는 점이다. Klette 모형을 이용하여 연구개발투자 수익률 및 지식스톡의 진부화율을 추정하였다. 실증분석결과에 의하면 이들 기업의 연구개발투자의 사적 수익률은 산업 전체로는 평균값 기준 7.7% 또는 중간값 기준 16.4% 수준으로, 제조업에 한정하면 평균값 기준 10.4% 또는 중간값 기준 16.4% 수준으로 추정되었다. 한편, 지식스톡의 진부화율은 산업 전체로는 32.9%로, 산업별로는 최하 11.6%(금속)에서 최대 49.5%(서비스) 범위로 추정되었다. 제조업 기업의 연구개발투자 수익률은 실질이자율의 두 배 정도로 추정할 수 있다. 자본시장이 효율적으로 작동한다면, 연구개발투자의 수익률은 자본의 기회비용에 추가하여 연구개발의 지대(rent)로 구성된다고 할 수 있다. 연구개발투자를 지속적으로 수행하는 우리나라 기업은 대체로 자본의 기회비용 이상의 초과 수익을 향유하고 있다는 결론이 가능하다.

• 한국기술혁신학회:학술대회논문집
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• 한국기술혁신학회 2000년도 추계 학술대회(The 2000 Autumn Conference of korea Technology Inovation Society)(한국기술혁신학회)
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• pp.346-356
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• 2000

This paper aims to analyse the relationship between R＆D investment and economic growth in Korea. The analysis result shows 38 percent of average economic growth rate(7.1%) of Korea between 1976 and 1998 was achieved by the growth of Total Factor Productivity (TFP), and the R&D investment during the period contributed in achieving the economic growth rate by as much as 9.86 percent. In the process of the estimate, the rate of return of the R&D investment from both government and private was calculated as 47 percent. The relationship between private R&D investment, government R&D investment and the GDP was also investigated, and it was estimated that the private sector invested 2.0 percent of the GDP in R&D during the period, and was found that 1 won of government R&D investment induced 0.202 won of private sector's R&D investment. However, the time-lag effect, which is naturally believed to exist between the R&D investment and the economic growth, could not be analysed in a mathematical form, because of the lack of the data to establish this relationship. However, this paper believe that the time-lag effect in this relationship was included implicitly by using the data of 23 years.

• 보건행정학회지
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• 제20권3호
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• pp.123-137
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• 2010

The main purpose of this article is for deriving functions related to the prediction of the closure of the hospitals, and finding out how the discriminant functions affect the closure of the hospitals. Empirical data were collected from 3 years financial statements of 41 private hospitals closed down from 2000 till 2006 and 62 private hospitals in business till now. As a result, the functions related to the prediction of the closure of the private hospital are 4 indices: Return on Assets, Operating Margin, Normal Profit Total Assets, Interest expenses to Total borrowings and bonds payable. From these discriminant functions predicting the closure, I found that the profitability indices - Return on Assets, Operating Margin, Normal Profit Total Assets - are the significant affecting factors. The discriminant functions predicting the closure of the group of the hospitals, 3 years before the closure were Normal Profit to Gross Revenues, Total borrowings and bonds payable to total assets, Total Assets Turnover, Total borrowings and bonds payable to Revenues, Interest expenses to Total borrowings and bonds payable and among them Normal Profit to Gross Revenues, Total borrowings and bonds payable to total assets, Total Assets Turnover, Total borrowings and bonds payable to Revenues are the significant affecting factors. However 2 years before the closure, the discriminant functions predicting the closure of the hospital were Interest expenses to Total borrowings and bonds payable and it was the significant affecting factor. And, one year before the closure, the discriminant functions predicting the closure were Total Assets Turnover, Fixed Assets Turnover, Growth Rate of Total Assets, Growth Rate of Revenues, Interest expenses to Revenues, Interest expenses to Total borrowings and bonds payable. Among them, Total Assets Turnover, Growth Rate of Revenues, Interest expenses to Revenues were the significant affecting factors.

• 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.

• 한국주거학회논문집
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• 제14권2호
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• pp.89-100
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• 2003

This study is identified the characteristics of housing product through housebuilders' strategies. As a methodology for this study, literature survey and questionnaire survey were used. Questionnaires have been done on mail to 232 housebuilders and return rate was 34.1%. In summary, housing product can be characterized long gestation period, periodically building cycle, future uncertainty of market volatility, maximization of land development gain, utilization of public fund for continuous building activity, moral hazard by accidentally bankrupcy. Therefore private housebuilding could be defined speculative industry.

• 기술혁신연구
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• 제5권1호
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• pp.206-222
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• 1997

The conventional analysis with which justifies government intervention of the private sector's innovation activities is the market failure approach. According to such analysis, fund allocation through autonomous market mechanisms is not optimal in technology financing because of the disparity between the desirable level of investment for society as a whole and that for private firms. To optimize the fund allocation, public policies such as subsidy, preferencial loan and venture capital investment programs are designed for technology development projects performed by private firms. They, however, have not been effective in increasing private investment for such projects. In most cases, it was found that little considerations given to the relationship between uncertainty embodied in technology development projects and each types of financing. With respect to optimizing fund allocation, technology development projects should be financed by different means according to their probability of success and the expected value of technology. Employing various theoretical models on financing decision-making we verify here that technology development projects to be supported by commercial banks or venture capital institutions is limited contingent upon levels of uncertainty adn expected value. Under the assumption that financial institutions are risk averse, loan or investment can be available only if the probability of success of the project is higher than the probability premium and the current market rate of interest. Therefore, the projects that have lower probability of success and/or small expected return are excluded from commercial loan or investment programs. However, the remaining projects, whose probability of success is low but with high expected return, may be applied under government subsidy programs. To achieve optimality of fund allocation and to activate technology financing, we conclude that there should be a systematic division of role among financial institutions including government commercial banks, and venture capital institutions.