• 수산경영론집
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• 제46권1호
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• pp.109-119
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• 2015

This paper is to estimate the economic effect of benefits of the R&D and recreational fishing as well as input-output analysis in the Tae-an Trial Sea Farm Project(TTSFP). We use B/C model to indicate the effects of economic valuation. B/C analyses model consists of Benefit Cost Ratio(BCR), Net Present Value(NPV) and Internal Ration of Return(IRR). Using 5.5% discounting rates and the survey data, the sub-models show economically feasible in the all of analysis and analyzed the results as follows. NPV is 42,147 million won, BCR is 3.29 and IRR is 34.30%. This study attempts to apply input-output(I-O) analysis in connecting the economic effect of TTSFP. I-O model was constructed, focusing on three effects; the production-inducing effect, the value-added-inducing effect and employment-inducing effect. There are positive effects on economic value and job creation in Tae-an and Nation.

• 지역연구
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• 제9권1호
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• pp.65-78
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• 1993

In this study, the significant and enduring concentration of federal R&D spending in metro-scale clusters across the nation is treated as evidence of the operation of a distinct industrial infrastructure defined by the ability of R&D performers to attract external funding and pursue the sophisticated project work demanded. It follows, then, that the agglomerative potential of these R&D concentrations -- performers and their support infrastructures -- requires a search for economic impacts guided by a different stimulative effects attributable to federal R&D spending may be that substantial subnational economic impacts are routinely obscured and diluted by research designs that seek to discover impacts either at the level of nation-scale economic aggregates or on firms or specific industries organized spatially. Therefore, this study proceeds by seeking to link the locational clustering of federal contract R&D spending to more localized economic impacts. It tests a series of models(X-IV) designed to trace federal contract R&D spending flows to economic impacts registered at the level of metro-regional economies. By shifting the focus from funding sources to recipient types and then to sector-specific impacts, the patterns of consistent results become increasingly compelling. In general, these results indicated that federal R&D spending does indeed nurture the development of an important nation-spanning advanced industrial production and R&D infrastructure anchored primarily by two dozed or so metro-regions. However, dominated as it is by a strong defense-industrial orientation, federal contract R&D spending would appear to constitute a relatively inefficient national economic development policy, at least as registered on conventional indicators. Federal contract R&D destined for the support of nondefense/civilian(Model I), nonprofit(Model II), and educational/research(Mode III) R&D agendas is associated with substantially greater regional employment and income impacts than is R&D funding disbursed by the Department of Defense. While federal R&D support from DOD(Model I) and for-profit(Model II) and industrial performer(Model III) contract R&D agendas are associated with positive regional economic impacts, they are substantially smaller than those associated with performers operating outside the defense industrial base. Moreover, evidence that the large-business sector mediates a small business sector(Model VI) justifies closer scrutiny of the relative contribution to economic growth and development made by these two sectors, as well as of the primacy typically accorded employment change as a conventional economic performance indicator. Ultimately, those regions receiving federal R&D spending have experienced measurable employment and income gains as a result. However, whether or not those gains could be improved by changing the composition -- and therefore the primary missions -- of federal R&D spending cannot be decided by merely citing evidence of its economic impacts of the kind reported here. Rather, that decision turns on a prior public choice relating to the trade-offs deemed acceptable between conventional employment and income gains, the strength of a nation's industrial base not reflected in such indicators, and the reigning conception of what constitutes national security -- military might or a competitive civilian economy.

• 융합경영연구
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• 제8권4호
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• pp.1-12
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• 2020

Purpose- The purpose of this study is to increase the effect of public technology transfer through government R&D support to secure the competitiveness of public technology startups. The government's R&D budget in 2019 is over 20 trillion won, and there is a legitimate need to increase the performance of technology startups through such R&D results. Research design, data, and methodology- In this paper, we comprehensively analyzed the current status of public research institutes and R&D support projects suitable for founders and analyzed and presented cases of follow-up research conducted by the Institute of Science and Technology Jobs to analyze actual performance cases of R&D support institutes. Results- In this conclusion, a developmental model of public technology entrepreneurship was proposed to increase the performance of public technology commercialization with the scalability of research institutions. In order to create a public technology information system between consumers and suppliers, a Steinweiss-type technology commercialization model for public technology commercialization, and a job-creating enterprise-type linkage R&D support business model were presented to create the results of R&D support organizations. Conclusions- Through the results of this study, it is meaningful to analyze the performance cases of technology commercialization of R&D support institutions, which have not been studied so far, to build competitiveness of research institutions and to present a growth model for the spread of technology startups. This study has implications in terms of suggesting a way to build competitiveness in technology commercialization between market demanders and suppliers by linking existing public technology startups, which deviated from the simple commercialization support system, with job creation by expanding the R&D support system.

• 정보관리연구
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• 제43권3호
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• pp.43-59
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• 2012

급변하는 환경변화에 대응하고 과학기술정보 관리 유통사업에 대한 연구수행의 효율화 및 성과 활용, 확산을 극대화하기 위해 경제성 분석 모델을 수립하였다. 과학기술정보 관리 유통사업은 일반적인 연구개발과 그 목적 자체가 다르다. 경제적 성과를 창출하기 위한 상업용 연구개발이 아닌 공공서비스 제공을 목적으로 한 연구개발이 대부분인 상황에서 경제적 성과를 분석하기 위한 경제성 분석 모델을 개발했다는 데 본 논문의 의의가 있다. 특히 이질적인 연구사업에 대한 경제성 분석 모형 및 절차적 방법론의 사전 구축을 통하여 향후 국가 과학기술정보 관리 유통사업에 대한 경제성 분석과 R&D 효율성 제고에 기여할 것으로 기대된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권8호
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• pp.4133-4145
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• 2017

Advances in science and technology are driving us to the better life but also forcing us to make more investment at the same time. Therefore, the government has provided the investment to carry on the promising futuristic technology successfully. Indeed, a lot of resources from the government have supported into the science and technology R&D projects for several decades. However, the performance of the public investments remains unclear in many ways, so thus it is required that planning and evaluation about the new investment should be on data driven decision with fact based evidence. In this regard, the government wanted to know the trend and issue of the science and technology with evidences, and has accumulated an amount of database about the science and technology such as research papers, patents, project reports, and R&D information. Nowadays, the database is supporting to various activities such as planning policy, budget allocation, and investment evaluation for the science and technology but the information quality is not reached to the expectation because of limitations of text mining to drill out the information from the unstructured data like the reports and papers. To solve the problem, this study proposes a practical text mining methodology for the science and technology trend analysis, in case of aerospace technology, and conduct text mining methods such as ontology development, topic analysis, network analysis and their visualization.

• 한국전자거래학회지
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• 제25권1호
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• pp.203-214
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• 2020

최근 들어 기술개발 현황, 신규기술 분야 출현, 기술융합과 학제 공동연구, 기술의 트렌드 변화 등을 파악하기 위해 R&D 과제정보, 특허와 같은 기술문서의 분류정보가 많이 활용되고 있다. 이러한 기술문서를 분류하기 위해 주로 텍스트마이닝 기법들이 활용되어 왔다. 그러나 기존 텍스트마이닝 방법들로 기술문서를 분류하기 위해서는 기술문서들을 대표하는 특징들을 직접 추출해야 하는 한계점이 있다. 따라서 본 연구에서는 딥러닝 기반의 BERT모델을 활용하여 기술문서들로부터 자동적으로 문서 특징들을 추출한 후, 이를 문서 분류에 직접 활용하는 모델을 제안하고, 이에 대한 성능을 검증하고자 한다. 이를 위해 텍스트 기반의 국가 R&D 과제 정보를 활용하여 BERT 기반 국가 R&D 과제의 중분류코드 예측 모델을 생성하고 이에 대한 성능을 평가한다.

• 대한산업공학회지
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• 제40권1호
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• pp.84-99
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• 2014

In this study, determinant input-output variables are identified for calculating Data Envelopment Analysis (DEA) efficiency scores relating to evaluating the efficiency of government-sponsored research and development (R&D) projects. In particular, this study proposes a systematic framework of design and analysis of experiments, called "all possible DEAs", for pinpointing DEA determinant input-output variables. In addition to correlation analyses, two modified measures of time series analysis are developed in order to check the similarities between a DEA complete data structure (CDS) versus the rest of incomplete data structures (IDSs). In this empirical analysis, a few DEA determinant input-output variables are found to be associated with a typical public R&D performance evaluation logic model, especially oriented to a mid- and long-term performance perspective. Among four variables, only two determinants are identified : "R&D manpower" ($x_2$) and "Sales revenue" ($y_1$). However, it should be pointed out that the input variable "R&D funds" ($x_1$) is insignificant for calculating DEA efficiency score even if it is a critical input for measuring efficiency of a government-sonsored R&D project from a practical point of view a priori. In this context, if practitioners' top priority is to see the efficiency between "R&D funds" ($x_1$) and "Sales revenue" ($y_1$), the DEA efficiency score cannot properly meet their expectations. Therefore, meticulous attention is required when using the DEA application for public R&D performance evaluation, considering that discrepancies can occur between practitioners' expectations and DEA efficiency scores.

• 한국정보통신학회논문지
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• 제13권8호
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• pp.1623-1636
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• 2009

현재 국내의 정부 R&D 사업은 300여개에 이르고 있고, 이를 사업의 특성별로 16개 국가R&D 관련 부처 청의 15개 대표연구관리 전문기관에서 각각 관리하고 있다. 이로 인하여 발생하는 국가 R&D에 대한 중복 투자와 체계적인 R&D연구과제 및 성과관리의 미흡으로 R&D 투자의 효율성에 대한 문제가 계속해서 제기되고 있다. 그러한 가운데 이러한 문제를 해결하기 위하여 교육과학기술부는 국가연구개발의 기획에서 성과활용에 이르기까지 연구개발의 효율화를 지원할 수 있는 국가 R&D 포털시스템으로써 국가과학기술종합정보시스템(NTS)을 구축하고 있다. NTIS와 같이 분산된 데이터의 통합시 동일한 의미의 데이터들이 각 조직에서 달리 명명되고 다른 데이터 유형으로 되어 있기에 통합된 데이터의 정확성과 높은 수준의 품질을 달성하는 것이 어려운 문제이다. 본 논문에서는 NTIS 시스템의 인력/과제/성과 정보의 통합DB 구축 및 연계방식과 이를 통해 수집된 데이터의 품질관리를 위한 데이터정제 프로세스를 고찰해 본다. 그 과정에서 발생할 수 있는 데이터 품질문제의 요인을 분석하여 NTIS의 데이터 품질향상을 위한 개선방안을 제시한다.

• 한국산학기술학회논문지
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• 제22권1호
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• pp.159-170
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• 2021

연구개발(R&D)의 주요 목적이 과거 지식 창출 중심에서 기술이전 및 사업화를 통한 경제적 이익 창출 중심으로 변화함에 따라 공공성(public character)을 내재한 공공기술 역시 사회적 기여와 더불어 경제성을 확보할 수 있는 방안이 요구되고 있다. 한국 또한 대학 및 정부출연연구소의 기술창업 활성화를 위해 2015년부터 '공공기술 기반 시장연계 창업탐색 지원사업(한국형 아이코어 사업)'을 실시하여 기초·원천 연구성과의 사업화를 선도할 수 있는 핵심인력 양성에 힘을 기울이고 있다. 본 연구는 기업가정신 교육 관련 선행연구와 동 사업의 성과분석을 목적으로 실시한 설문조사 결과를 토대로 '창업학습', '적용도', '비즈니스 모델', 그리고 '재무적 자원' 등 사업성과와 관련한 4개의 요인을 도출하였고, 가설 검증 및 구조방정식모델 분석을 통해 이러한 영향요인 간의 관계를 실증하였다. 연구결과를 요약하면, 아이코어 사업의 성과인 '재무적 자원'에 미치는 '창업학습'의 직접적인 영향은 통계적으로 확인되지 않았지만, '창업학습'으로부터 유의한 수준에서 긍정적인 영향을 받는 '적용도'와 '비즈니스 모델'이 '재무적 자원'에 긍정적인 영향을 미침에 따라 결과적으로 '창업학습'이 '재무적 자원'에 미치는 간접효과가 검증되었다. 특히 '창업학습'이 '적용도'에 미치는 높은 수준의 영향과 '적용도'가 '비즈니스 모델'과 '재무적 자원'에 미치는 영향 역시 유의한 수준에서 긍정적으로 나타남에 따라 '재무적 자원'에 긍정적인 영향을 미치는 핵심요인들이 확인되었다. 따라서 이러한 분석 결과를 바탕으로 본 연구는 공공기술기반 창업교육에 대한 이론적 및 실무적 시사점을 도출하였고, 향후 효과적인 공공기술 사업화를 위한 지원사업의 개선 방향을 제시하고 있다.

• STI Policy Review
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• 제9권1호
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• pp.55-76
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• 2018

This study analyzed the effect of the government R&D subsidy program on long-term firm survival. In order to estimate the average treatment effect for the treated group, we used the survival analysis and matching method by constituting a comprehensive dataset of more than 90,000 observations. The analysis results show that the government R&D subsidy has a negative impact on long-term firm survival. In particular, not only the subsidy does not have a statistically significant effect on firm survival in the relatively short-term, the survival probability of the subsidized firms is statistically significantly lower than the non-subsidized firms after six years. These results can be seen as weakening the justification of government R&D support. There may be problems in the subsidy policy itself and the process of selection of subsidy awardees; however, the more fundamental problem is that the subsidy policy is concluded as the one-time event. Admittedly, it would be difficult for the government to precisely manage the subsidized projects over a long term period. However, in the case of a project in which short-term performance is detected, it would be necessary to provide a step-by-step support to strengthen the firm's competitiveness through further support and continuous development of performance. Of course, mid- and long-term evaluations of subsidy support policy should be performed in parallel with such phased support.