• Title/Summary/Keyword: 지역R&D

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Analyzing the economic impact of leading industry R&D for economic region with regional input-ouput tables (지역산업연관표를 활용한 광역경제권 선도산업 R&D의 경제적 파급효과 분석)

  • Choi, Seung-Il;Kim, Jin-Ho
    • Proceedings of the KAIS Fall Conference
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    • 2011.12a
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    • pp.37-39
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    • 2011
  • 광역경제권 선도산업은 지역 간 협력 및 연계를 통해 산업 경쟁력을 높이는 것을 정책 목표로 하고 있어 R&D 경제적 파급효과에 대한 권역별 분석이 요구된다. 본 연구에서는 충청광역경제권 선도산업 중 'New IT' 분야 '차세대무선통신 단말기 부품소재 글로벌 경재력 강화' 프로젝트에 대한 경제적 파급효과를 한국은행에서 발간한 지역산업연관표를 활용하여 분석하였다.

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Composition of Federal R&D Spending, and Regional Economy : The Case of the U.S.A

  • Lee, Si-Kyoung
    • Journal of the Korean Regional Science Association
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    • v.9 no.1
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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.

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Isolation and Identification of Yeasts from Jeju Island Soils (제주도 토양에서 효모의 분리 및 동정)

  • Han, Sang-Min;Bae, Sang-Min;Han, Jae-Won;Kim, Ji-Yoon;Lee, Jong-Soo;Kim, Ha-Kun
    • The Korean Journal of Mycology
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    • v.43 no.4
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    • pp.267-271
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    • 2015
  • Significant differences in annual precipitates on Jeju island have been reported depending on the location. We collected soil samples from east and west areas of Jeju Island to identify yeasts by plating on yeast peptone dextrose plates and subsequent analysis for the polymerase chain reaction amplified D1/D2 region of 26S rDNA of colonies. As a result, 20 yeast strains of 12 species were isolated from 7 different sampling sites in east area and 13 yeast strains of 6 species from 5 different sampling sites in west area. Some differences in yeast flora were observed depending on the sample collection sites having different annual precipitates.

Characteristics of Technological Innovation and Methods for Innovation Capability in Daegu-Gyeongbuk's Mobile Industry (대구.경북 모바일산업의 기술혁신 특성 및 혁신역량 제고방안)

  • Jeon, Ji Hye;Lee, Chul Woo
    • Journal of the Korean association of regional geographers
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    • v.20 no.1
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    • pp.16-29
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    • 2014
  • This study aims to suggest methods for improving innovation capability in Daegu-Gyeongbuk's mobile industry. Before offering suggestions, it analyzes the characteristics of technological innovation based on the mobile industry's value chain in Daegu-Gyeongbuk in relation to R&D workforce, R&D expenditures, and R&D networks. Support for R&D workforce in the Daegu-Gyeongbuk's mobile industry is concentrated in the mobile device and contents sectors. In addition, it is difficult for companies to finance R&D expenditures because most are SMEs, except for some large enterprises in the mobile device sector. R&D networks are structured mainly inside of companies, and linkages among universities, research institutes, and supporting institutes are weak in all sectors. To strengthen the innovation capability in Daegu-Gyeongbuk's mobile industry, therefore, human resource projects should be dispersed, and financial support should also be spread across value chain sectors rather than concentrated. Aside from this, a place for industry, academia, institutes, and government to build and enhance innovative networks should be created in all sectors.

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Effectiveness of R&D Tax Credit for SMEs (중소기업 R&D 조세지원의 효과성 분석 및 개선방안)

  • Noh, Meansun;Cho, Hosoo;Baek, Chulwoo
    • Journal of Korea Technology Innovation Society
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    • v.21 no.2
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    • pp.663-683
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    • 2018
  • This study aims to analyze the effectiveness of R&D tax credit for SMEs. We surveyed to collect the information on firm's financial statements and R&D tax credit during 2014-2016, and implemented fixed effect model, random effect model and panel negative binomial model. The results show that the effect of R&D tax credit is 5.3 times larger in terms of R&D expenditure and 4.3 times bigger in terms of number of researchers than that of R&D subsidy. In addition, the effect of tax credit on non-metropolitan area companies is higher than that in the metropolitan area. Based on these results, we suggests three ways to improve the R&D tax incentive system for SMEs; To convert unused R&D tax credit of the start-ups to tax points, to exempt the minimum tax rate on R&D expenditure in equipment, and to unify the operation of various R&D tax credit institution.

Research on Characteristics Classification of Regional Operation System of the Shared Research Instrument: Exploratory Case Study of Gyeonggi Region, Korea (지역 연구 공용장비 운영체계 개선을 위한 특성 분류 연구: 경기도 지역에 대한 탐색적 사례연구를 중심으로)

  • Hong, Jae-Keun;Chung, Sun-Yang
    • Journal of Korea Technology Innovation Society
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    • v.14 no.4
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    • pp.833-859
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    • 2011
  • This study aims to draw the characteristics of the regional operation system of the shared research instrument service, which contributes to the R&D investment efficiency by the avoidance of duplicated research instrument investment and the enhancement of the network collaboration. So from the perspective of technology infrastructure policy and regional innovation system, Gyeonggi region of Korean metropolitan area has been analyzed for the case study. The case study has been conducted by 2 step process of within-case analysis and cross-case analysis. Firstly, the characteristics of operation system of the shared research instrument have been examined through various research methods. Secondly, in the cross-case analysis, the examined issues and problems have been organized by the matrix of 3 organizational governance characteristics and 4 issues to facilitate the regional policy approach. The issues deducted by the cross-case analysis have been deducted as (1) 'usage fee charge system', 'relevant method for the performance index and measurement of the instrument service management' for the regional policy led case, (2) 'performance management issue', 'financial and managerial accounting system for the instrument operating division', and 'change of budget support scheme' for the joint operation case and lastly (3) 'usage facilitation after the expiration of research lab support project' for the university led case.

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A Study on Efficiency of Community Problem-solving Type R&D and Influencing Factors (지역사회 문제해결형 R&D 효율성 및 영향요인에 관한 연구)

  • Min, Hyun-Ku
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.17 no.4
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    • pp.161-175
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    • 2021
  • This study analyzed the efficiency and influence factors according to the main research institute type of R&D Program for the local community problem-solving. This study applied data envelopment analysis (DEA) method and Tobit regression analysis by using 20 institutions that participated in R&D Program. The results are summarized as follows. First, Analysis results according to the research institute type of R&D project, Efficient DMUs showed more regional innovation institutions than social economy enterprises. But regional innovation institutions were the lowest in the CCR and BCC model. However, efficiency dose not differ between regional innovation institutions and social economy enterprises. Second, as a result of the analysis relation between efficiency and allocation characteristics of R&D input, the participation of regional innovation organizations as participating organizations has a negative effect on efficiency. It was found that the higher the proportion of government subsidies and the higher the employment rate of the vulnerable, which is a social achievement, the positive effect on efficiency. The implication of this study is that the participation of social economy enterprises as the main R&D institution and government R&D support can provide social economy enterprises with opportunities to accumulate R&D capabilities and experience successful commercialization.

Species Diversity Analysis of the Aquatic Insect in Paddy Soil

  • Eom, Ki-Cheol;Han, Min-Soo;Lee, Byung-Kook;Eom, Ho-Yong
    • Korean Journal of Soil Science and Fertilizer
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    • v.46 no.3
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    • pp.163-172
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    • 2013
  • The aquatic insect collected at six areas (each 2 for mountain area, plain field, and urban area) from 2009 to 2011 were classified to analyze the distribution and diversity of species. Frequency (number of aquatic insect: N), number of species (S), similarity index (C), richness index (R1, R2), variety index (V1, V2), evenness index (E1, E2, E3, E4, E5), and dominance index (D1) were investigated. Total N and S were 143 and 84, respectively. C matrix of 153 combinations was constructed with the average of 0.542. The average C of 3 years (0.659) was 9.9% P, more higher than the average C of 6 areas (0.560). The average values of the index of 18 plots were 2.28, 0.17, 1.24, 1.08, 0.07, 0.06, 0.01, 0.87, 0.31, 0.93 for R1, R2, V1, V2, E1, E2, E3, E4, E5, D1, respectively. The order in the coefficient of variation (CV) of the indicator for 18 plots was N (70.0%) > E3 (54.9%) > E1 (49.6%) > R2 (40.5%) > S (35.3%) > R1 (33.7%) > E2 (28.4%) > E5 (15.9%) > V1 (11.1%) > E4 (6.3%) > V2 (5.1%) > D1 (4.8%). The correlation matrix with 66 combinations between the indexes was constructed with statistical significance for 33 combinations. However, R1, V1, E2 and D1 were the proper indexes to represent species diversity of aquatic insect based on the correlation matrix and the theory of statistical independence. The richness index was highest in mountain, variety index in urban area, and evenness index in plain field. However, the dominance index was lowest in urban area.