• Title/Summary/Keyword: technological factor

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Innovation and Economic Growth: Factor Substitution, Technological Change and R&D Investment (기술혁신과 경제성장: 요소대체율, 기술진보율 및 연구개발투자)

  • Shin, Tae-Young
    • Journal of Technology Innovation
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    • v.15 no.2
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    • pp.1-24
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    • 2007
  • In this study, we estimated a CES production function for the Korean economy. We have found in the empirical results that the elasticity of the factor substitution is less than one and that the Korean economy exhibits labor-saving technological progress. In addition, we obtained the regression coefficient of R&D investment on technological change, i.e., the elasticity of R&D investment with respect to the technological change was 0.26% point. It implies that if R&D stock increases by 1%, labor efficiency increases 0.26% point through technological progress which is Hicksian non-neutral. It confirms that innovation-based growth strategy by increasing R&D investment would be effective on the one hand. Some policy consideration on the other might be needed for an increase in employment which is offset by technological progress.

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Revenue Determination Model of Raw Ginseng Production (원료삼 생산수익 결정모형)

  • Park, Hoon
    • Journal of Ginseng Research
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    • v.33 no.3
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    • pp.240-243
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    • 2009
  • To better understand how to increase a ginseng grower's revenue, a 4-factor revenue determination model (RDM) of raw ginseng production (R=A Y Q P) was proposed. The total revenue (R) is a multiplicative function of four factors: cultivation area(A), unit yield (Y), quality grade (Q) and unit price (P). The A appears to be a pure capital factor. Y and Q are technological factors and P is social and market factor. When P is constant, the technological term (YQ) is the revenue per unit area (R/A) production efficiency per capital. The RDM appears to be a linear model between R and A with the slope [YQ]. RDM was applied to three farmers' raw ginseng production for assessment of its dependency on capital and technological factors.

FDI and the Evolution of Directed Technological Progress Bias: New Evidence from Korean Outward Investment

  • Boye Li;Xiang Li;Yaokun Wu
    • Journal of Korea Trade
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    • v.27 no.5
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    • pp.1-22
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    • 2023
  • Purpose - Southeast Asia has been the focus of Korea's foreign investment. Korea has been helping developing countries in Southeast Asia achieve economic growth and win-win cooperation through capital exports. FDI is an important channel for technology diffusion. However, the impact of FDI on the bias of technological progress in the host country is dependent on the host country's own endowment structure and capital-labor factor substitution elasticity. Therefore, the central issue of this paper is to accurately evaluate the impact of Korea's FDI to the four Southeast Asian countries in various industries on their bias of technological progress. Design/methodology - The paper uses macroeconomic data for Korea and four East Asian countries to estimate capital-labor factor elasticities of substitution using nonlinear, seemingly uncorrelated regressions (NLSUR). Then, the biased technological change index (BTCI) is calculated for each country. Finally, panel data analysis is used to explore the impact of Korean FDI in various industries in the four Southeast Asian countries on their own directed technological progress, and a robustness test is conducted. Findings - There is a substitution relationship between capital and labor factors based on their elasticity in Korea, Singapore and the Philippines. There is a complementary relationship between capital and labor factors in Indonesia and Malaysia. According to the BTCI, there is a trend toward labor-biased technological progress in all countries. Korean investments in manufacturing, wholesale and retail trade in the host country trigger capital-biased technological change in the host country; investments in the finance, insurance and information and communication sectors trigger labor-biased technological change. In addition, this paper also confirms that directed technological progress can enable cross-country transmission. Originality/value - The innovation of this paper lies in three aspects. First, we estimate the BTCI for five countries and explore the trend and situation of directed technological progress in each country from each country's own perspective. Second, we explore the impact of Korean FDI in the host country on the bias to its technological progress at the industry level. Second, we explore the impact of Korean FDI in various industries in the four Southeast Asian countries on the four countries' own directed technological progress from a national perspective. Finally, we propose corresponding countermeasures for technological progress from the perspective of inverse factor endowment. These innovative points not only expand the understanding of technological progress and cross-country technology transfer in East Asia but also provide practical references for policy-makers and business operators.

Multivariate Analysis of Covariance on Characteristics Influencing Technological and Managerial Barriers of Technology Startups

  • Geonil Ko;Namjae Cho
    • Journal of Information Technology Applications and Management
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    • v.31 no.1
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    • pp.27-43
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    • 2024
  • This study investigated technological and managerial barriers in technology startups through a survey of 151 companies, yielding 118 responses (78.1% response rate). Factor and multivariate analyses identified two distinct barriers: technological and managerial. Reliability analysis validated the measurement tool. Using MANCOVA, 12 hypotheses were tested, incorporating six independent variables. Results revealed significant disparities in technological and managerial barriers based on establishment type, commercialization goals, growth stage, and commercialization stage, with 5 hypotheses supported. This study highlights the crucial role of these variables in understanding barriers within technology-based startups.

Technical Inefficiency Effects and Technological Change in Bangladesh Food Industry: A Stochastic Frontier Analysis

  • Rana, Md. Masud;Baten, Md. Azizul;Rabman, Mezbahur
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.4
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    • pp.1449-1463
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    • 2008
  • This paper considers three different models with two functional forms, Cobb-Douglas and Translog, for the stochastic frontier production function of food manufacturing industry of Bangladesh over the period 1981-1982 to 1999-2000. The models are proposed by Battese and Coelli (1992, 1995) and Huang and Liu (1994). The technical efficiency, total factor productivity, technological change and technical efficiency change have been estimated in the frontier models. The results indicate that 41.47%, 59.30% and 70.98% of the potential output are being realized in this sector. The mean increments in total factor productivity are approximately 2%, 9% and 4% respectively.

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An International Comparison of Technological Systems : The Case of CNC Machine Tools in Korea, Sweden, and U.S.A.

  • Sung, Tae-Kyung;Carlsson, Bo
    • Journal of Technology Innovation
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    • v.12 no.2
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    • pp.21-46
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    • 2004
  • Focusing on a product, this paper reconstructs the concept of technological systems first introduced by Carlsson and Stankiewicz (1991). Based on the model and our earlier works, we compare the salient features of technological systems for computer numerically controlled (CNC) machine tools in Korea, Sweden, and the United States.. We also try to measure the performance of the systems in an international comparison. Major findings are as follows: (1) The length of 'learning period' for local (national) technological system is substantial, even though it is a catching-up case. (2) The key success factor of the technological system appears to be the connectivity among various actors or infrastructures, rather than just the existence or formation of those. (3) In three countries' experience, the government played an important role in the formation of each own technological system. (4) The performance of Korea's technological system for CNC machine tools during the past two decades(1981-97) seems to be better than that of Sweden and the U.S. Lastly, many policy implication are presented.

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Technological Innovation Capacity Evaluation And Technology Diffusion Analysis Using Patent Data (특허정보를 이용한 기술혁신능력 평가 및 기술 확산 분석)

  • Nam, Ki-Woong;Park, Sang-Sung;Shin, Young-Geun;Jang, Dong-Sik
    • Proceedings of the KAIS Fall Conference
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    • 2009.05a
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    • pp.319-324
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    • 2009
  • Lately, knowledge-based society comes, it is important for enterprises to creatively utilize knowledge of technology for technological innovation. So, Technological innovation capacity of enterprises is important factor of business success. To improve technological innovation capacity, enterprises should well utilize their internal knowledges and external knowledges which come from technological diffusion. To well utilize external knowledges of enterprises they should well understand external knowledge flow. Especially knowledge flow also occurs frequently between nations, understanding of knowledge flow which occurs between nations is important to improve nation`s technological innovation capacity. So this paper presents comparison of technological innovation capacity and knowledge diffusion flow between nations.

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The Effects of Technological Capabilities and Entrepreneurship on Technological Innovation of Technology-based Start-ups in Korea

  • Ahn, Seungku;Kim, Juil;Lee, Kwang-Hoon
    • Asian Journal of Innovation and Policy
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    • v.10 no.1
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    • pp.90-107
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    • 2021
  • This paper analyses how technological capabilities and entrepreneurship of technology-based start-ups affect their performance. In this paper, a multiple regression analysis was conducted on 248 technology-based start-ups. The effects of indicators of technological capacity like R&D intensity, R&D organization, technology competitiveness, patents, and certification were analyzed. Factors affecting sales were R&D intensity and technological competitiveness. Technology competitiveness and patents were the significant factors influencing product competitiveness. The factor that positively influenced organizational performance, customer performance, and achievement of start-up goals was technological competitiveness. The results of such an analysis should be designed to discover and foster long-term innovation potential, rather than relying on short-term financial performance.

The Bottleneck Factors of Innovative Activities in Korean Manufacturing Firms (한국 기업의 기술혁신 애로요인과 그 중요도 분석)

  • 서규원;이창양
    • Journal of Technology Innovation
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    • v.12 no.1
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    • pp.115-134
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    • 2004
  • In this paper, we tried to find the bottleneck factors of firms' innovative activities using the KIS (Korea Innovation Survey) 2002 data. Employing the method of factor analysis, we identified five bottleneck factors of innovative activities: organizational bottleneck factor, innovative bottleneck factor, economic bottleneck factor, supply-chain bottleneck factor, and market-environment bottleneck factor. Using regression analysis which includes the five bottleneck factors, industry characteristics variables (market concentration, technological opportunity, appropriability), and other control variables, we found (1) that all the five bottleneck factors are negatively related with innovative activities, (2) that technological opportunity and appropriability conditions are positively related with innovative activities, (3) that there is an inverted-U relationship between market concentration and innovative activities, and (4) that firm size has no significant influence on firms' innovative activities.

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Screening of the Antigen Epitopes of Basic Fibroblast Growth Factor by Phage Display

  • Xiang, Junjian;Zhong, Zhenyu;Deng, Ning;Zhong, Zhendong;Yang, Hongyu
    • BMB Reports
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    • v.38 no.3
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    • pp.290-293
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    • 2005
  • In order to investigate the epitope of basic fibroblast growth factor (bFGF) and its immunogenicity, the epitopes of bFGF were screened from the phage display library with monoclonal antibody GF22, which can neutralize the bio-activity of bFGF. By three rounds of screening, the positive phage clones with bFGF epitopes were selected, which can effectively block the bFGF to bind with GF22. Sequence analysis showed that the epitopes shared a highly conservative sequence (Leu-Pro-Pro/Leu-Gly-His-Phe/Ile-Lys). The sequence of PPGHFK was located at 22-27 of the bFGF. The specific immuno-response of mouse could be highly induced by phage clones with the epitopes. And the anti-bFGF activity induced by LPGHFK was 3 times higher than the original sequence, which showed that the mimetic peptide LPLGHIK might be used as a tumor vaccine in the prevention and treatment of tumor.