• 한국아동복지학
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• 제55호
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• pp.1-29
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• 2016

본 연구는 서울아동패널 3차년도 데이터를 활용하여 가구소득이 아동의 학업성취에 미치는 영향을 확인하고, 그 과정에서 부모의 시간적 물질적 투자가 매개효과를 지니는지를 살펴보았다. 그 결과, 가구의 소득은 아동의 학업성취에 통계적으로 유의한 정적인 영향을 미치는 것으로 나타났다. 특히 가구소득과 아동 학업성취의 관계를 설명하는 구체적인 매개 경로를 파악하기 위해 부모의 시간적 투자와 물질적 투자가 아동의 학업성취에 미치는 영향을 분석하였다. 그 결과, 부모의 물질적 투자를 나타내는 변수들(인지적 자극물 제공, 교과 외 활동 투자)을 통해 가구소득이 아동의 학업성취에 미치는 영향이 매개되는 것을 확인할 수 있었다. 그러나 부모의 시간적 투자를 나타내는 변수들(부모와의 외부활동, 부모의 학교생활 관여)에서는 통계적으로 유의한 매개효과가 확인되지 않았다. 이러한 결과를 바탕으로 교육불평등에 대한 사회복지 영역에서의 정책적 실천적 개입 방안을 제언하였다.

• 한국콘텐츠학회논문지
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• 제22권2호
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• pp.514-528
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• 2022

본 연구는 중국기업의 해외직접투자 특징을 Dunning의 OLI 패러다임 관점에서 파악하고자 하였다. 중국기업의 해외직접투자는 중국 정부의 정책과 중국경제의 내부적 요인 그리고 투자대상국의 경제 및 제도적 환경의 영향을 받으며 이루어졌다. 그리고 그 과정에서 나타난 중국기업의 해외직접투자 특징은 지역적으로 아시아지역에 편중된 가운데 선진국의 투자가 증가하고 있고, 업종별 투자에서는 3차 산업 업종의 투자 비중이 높은 가운데 2차 산업의 구조가 변화되는 양상을 띠고 있다. 이밖에 해외투자지역 선택에서는 우선 투자대상국의 경제적 요소와 정치적 요소를 고려한 후, 중국의 체제와 문화적 차이가 크지 않은 지역을 선택하여 점진적으로 확대해 나가는 특징을 나타내고 있다. 중국기업의 이러한 해외직접투자 특징은 기본적으로 Dunning의 OLI 패러다임에 부합하고 있는 것으로 평가된다. 다만 차이가 있다면, 중국기업의 해외직접투자는 기업의 장점을 이용한 해외 진출만이 아니라 단점을 보완하기 위한 진출도 많다는 점이다.

• 디지털융복합연구
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• 제10권2호
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• pp.11-23
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• 2012

본 연구는 우리나라 과학기술정책 기조 변화에 관한 중장기적 비교 분석을 통해 정책기조의 변화를 파악하고 있다. 과학계량학(scientometrics)적 접근 방법을 이용하여 국가연구개발투자 효율성 관련 정책의 기조변화 및 이슈를 유형화하고, 시기별 과학기술투자 효율화 정책 기조의 방향을 분석한다. 정책기조의 변화 분석은 과학기술혁신5개년계획(1999-2002)부터 MB정부 과학기술기본계획(2008-현재)의 과학기술기본계획 문서를 이용하여, 과학기술투자 효율화 정책기조 변화에 관해서 공통단어분석을 수행하고 있다. 구체적으로 한 단락 안에 연구개발투자 효율성과 관련된 공통출현단어들을 추출하여 단어별로 빈도수, 상대빈도, 시기별 관련성 등을 분석한다. 연구개발투자 효율성과 공통으로 출현하는 공통출현단어의 순위유사성 분석과 중복률 분석을 종합하면, 연구개발투자 효율성 관련 정책기조의 변화는 Regime 1(과학기술혁신 5개년 계획과 참여정부 과학기술기본계획), Regime 2(과학기술기본계획과 참여정부 과학기술기본계획), Regime 3(MB 정부의 과학기술기본계획)로 구분할 수 있었다.

• STI Policy Review
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• 제1권1호
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• pp.1-21
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• 2010

To achieve the "low carbon green growth" vision, the first step is securing core technologies. Therefore, S&T policy direction for green technology development is urgently needed. As of 2008, investment in green technology (GT) development hovered around 10% of the government's total R&D budget. Thus, the Korean government developed a plan to increase that percentage to 15%, by 2013. To develop reasonable investment strategies for green technology development, targeted strategies that reflect technology and market changes by green technology area are needed. However, the overall planning and coordination of national GT development is currently split among, approximately, 10 government ministries. To establish an efficient green technology development system, the so-called "Green Technology R&D Council" should be launched in collaboration with the Presidential Committee on Green Growth and the National Science and Technology Council. Furthermore, to build a solid foundation for commercializing the outcomes of GT development projects and promote GT transfer, the government should undertake two initiatives. First, the government should reinforce GT R&D performance management, by establishing a GT R&D performance management and evaluation system. Second, the government should implement the "customized packaged support for promoting green technology business rights and commercialization" and present "e-marketplace for market-oriented green technologies". Creating a pan-ministerial policy for GT development policy would necessitate restructuring the HR(Human Resources) development system, which is currently separated by technology area. Based upon mid/long-term HR supply and demand forecasts, the government should design differentiated HR development projects, continuously evaluate those projects, and reflect the evaluation results in future policy development. Finally, to create new GT-related industries, the "Green TCS (Testing, Certification, and Standards) System" needs to be implemented. For objective evaluation and diffusion of R&D results by green technology area, a common standardization plan for testing, analysis, and measurement, like the "Green TCS", should be developed and integrated.

• 기술혁신연구
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• 제11권1호
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• pp.79-97
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• 2003

R&D expenditure of Korean firms has been increasing drastically since 1980 and occupied 84% of total R&D expenditure in 1994. After 1994, however, the growth rate of industry R&D expenditure has dropped below single digit. R&D concentration rate of upper 20 companies declined from 61.9% in 1999 to 49.8% in 2001. The technology trade balance has diverged by 2.8 billion dollars in 2000 compared to around 0.3 billion dollars in 1985. We find several reasons on declining the industry R&D growth rate in Korea. First, we carefully say there might be an crowding out effect in increasing government R&D investment from Granger causality test between industry R&D and government R&D. Second, the decreasing benefit of tax credit since 1992 on industry R&D expenditure has caused the decrease of industry R&D growth rate. Third, the type of R&D cost becomes to similar to matured countries type of cost, which means the portion of capital expenditure has been decreased since late of 1980s. Therefore, industry R&D growth rate gets to saturation point. We draw several policy implications from the changing structure of business R&D of Korean company. Firstly, to stimulate industry R&D investment Korean government needs to strengthen tax credit policy. Secondly, to induce foreign direct investment Korean government needs to establish technology infrastructures and high quality of manpower. To utilize foreign technology resources Korean government need to introduce global R&D program executed by foreign scientist as an Project Leader.

• 기술혁신연구
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• 제15권1호
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• pp.203-233
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• 2007

This study investigates how characteristics in the value-chain industrial cluster affect the R&D investment and the output of firms in each industries. For this, we try to extract the inter-industrial networking structure from the input-output table in which 17 manufacturing sectors are included. In particular, we will give shape to the "unit structure" which shows the intermediary flows of goods and services between industries in order to get an unit of final demand in a certain industry. Using this "unit structure", we can try the inter-industrial networking analysis and get some indices of centrality and centralization related to the characteristics of each industries in the value-chain industrial cluster. The results show that the centrality in the value-chain industrial cluster does not have any consequence for the R&D investment and the output in each industries. However, there is a correlation between the centralization in the value-chain industrial cluster and the R&D investment and the output of firms in each industries. These results may be very suggestive in bringing up a new frame of industrial cluster policy in a macro level.

• The Journal of Asian Finance, Economics and Business
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• 제3권4호
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• pp.25-37
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• 2016

This study aims to investigate the determinants of dividend payout of Oil and Gas industry of Pakistan using secondary data from published annual reports from 2008 to 2014 listed on KSE (Karachi Stock Exchange). Dividend payout can be affected by profitability, firm size, financial leverage, sales growth, investment opportunities, liquidity, business risk, and ownership structure. Panel data technique used due to panel characteristics of available data with ordinary least square regression model to find out the impact of set of explanatory variables on the dividend payout using the Stata. Financial leverage, sales growth and business risks are the most significant variables of the study where financial leverage and business risk have significant negative effect on dividend payout while sales growth has favorable positive impact on dividend payout. Results revealed significant positive link of profitability and firm size with dividend payout whereas government ownership is negatively associated with dividend payout. Investment opportunities, liquidity and managerial ownership showed insignificant relationship with dividend payout. This Suggests that dividend payout policy is dependent on business strategies including both investment and financing decisions. Financial managers should consider these factors while formulating dividend policy of the firm.

• Asian Journal of Innovation and Policy
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• 제7권1호
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• pp.9-29
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• 2018

Japan's manufacturing is mostly dependent on the automotive industry in Toyota-Kariya cities. However, the nearby city of Hamamatsu is the home of a start-up ecosystem known as Japan's Silicon Valley. How is it possible to evaluate the innovative potential of each regional industry? What kind of guidelines exist for continuing R&D investment when companies' net incomes are negative in the face of the 'Valley-of-Death' or financial crisis? Is it possible to measure the regional resilience ability in the context of the financial crisis? Entrepreneurial innovation is defined as a real-option portfolio consisting of investment decision to commercialize R&D findings. The subcontractor system implies a vertical and tight industrial group. However, a start-up ecosystem means a platform for horizontal and flexible partnership. In this research, the data include the financial indices of each of 18 public companies in both regions between FY2009 and FY2017. The objective of this paper is to clarify the call option or resilience function of equity for R&D investment in the context of the financial crisis in both regions by using Bayesian MCMC analysis.

• 경제분석
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• 제17권2호
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• pp.56-89
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• 2011

금융시장이 불완전하면 기업투자가 현금흐름에 대해 민감하게 반응한다. 한국의 기업 자료를 이용하여 투자의 전환회귀모형을 추정한 결과, 기업투자의 현금흐름 민감도가 통계적으로 유의하게 나타났다. 재벌소속기업과 대기업의 경우에 고민감도체제로 전환될 가능성이 크며, 회사채등급과 유동비율은 양호할수록 저민감도체제로 전환될 수 있다. 외환위기 이후에 기업투자의 현금흐름 민감도는 약화되었으나 회사채등급과 유동비율이 민감도에 미치는 영향은 더욱 유의해졌다. 또한 경제 전체의 투자-현금흐름 민감도는 통화 긴축기간에 커지는 것으로 나타났다. 이는 한국경제에서 통화정책의 신용경로가 작동하고 있다는 증거로 해석된다. 통화정책은 경제 전체에 영향을 미칠 뿐 아니라 기업특성에 따라 차별적인 효과를 나타낸다는 점을 통화당국은 고려해야 할 것이다.

• 대한교통학회지
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• 제5권1호
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• pp.25-31
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• 1987

This article shows that, in the logit models, the(conditional) expected utility of the decision makers choosing an alternative is invariant across all alternatives. This property of the logit model implies that the logit model can not explain the distributional wealfare effects of a transportation policy (or transportation investment) among different alternatives, and thus the logit model is not proper for evaluating transportation policy in equity aspects.