• Title/Summary/Keyword: Technological Spillover

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Technological Regime, Knowledge Spillover and Innovation (산업의 기술체제 특성이 지식전파와 기술혁신에 미치는 영향)

  • Hong, Jang-Pyo
    • Journal of Technology Innovation
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    • v.18 no.2
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    • pp.147-174
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    • 2010
  • This paper aims to analysis sectoral innovation patterns of technological innovation and localized knowledge spillover in Korean manufacturing sector. Sectoral innovation system approach proposed that the specific pattern of innovative activity and knowledge spillover in an industry can be explained as the outcome of different technological regimes. Technological regime is defined by the particular combination of technological opportunities, appropriability of innovations, cumulativeness of technical advances and properties of the knowledge base. Based on a sample of 2,882 firms in manufacturing sector, this paper provides empirical estimates of the relationships between firm's product innovation and localized knowledge spillover. Results of the analysis provide considerable support to the hypothesis that firm's product innovation and localized knowledge spillover are related to the nature of the underlying technological regime. In the industry based on the tacit and specific knowledge, firm's product innovation is positively related to the localized knowledge spillover. This paper also shows that high stability in the ranking of innovators are related to high degrees of cumulativeness and appropriability.

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Technological Difficulty, Technological Spillover, and Private Incentive for Cooperative R&D (기술개발의 난이도와 기술적 파급효과가 기업의 공동연구개발 선호에 미치는 영향 -비용분담형 공동연구개발과 연구배증형 공동연구개발간 기업의 선호조건 비교-)

  • 유평일;최상채;임광선
    • Proceedings of the Technology Innovation Conference
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    • 1996.12a
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    • pp.141-153
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    • 1996
  • Firms prefer in some specific conditions cooperative R&D to non-cooperative for developing technology. Previous studies on the conditions show firms want to choose cost-sharing type of cooperative R&D (the CS-RJV) rather than non-cooperative one when target technology is either 'relatively easy'or 'relatively difficult', and to join multiple-research type of cooperation (the MR-RJV) than to compete each other if technology is only 'relatively easy'. However, by introducing technological spillover as well as difficult of technology, only if there shown that this seemingly contrasted phenomenon almost disappears : the MR-RJV can i3e also preferred by firms even in case of 'relatively difficult'technology only if there exists some extent of a technological spillover.

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Determinants of Technological Innovation and Spillover Effects: Using Count Data Model (국내 제조업 기업의 기술혁신 요인 및 기술파급효과 분석: 가산자료 모형을 이용하여)

  • Jang, Jeong-In;Yu, Seung-Hun;Gwak, Seung-Jun
    • Journal of Technology Innovation
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    • v.14 no.3
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    • pp.23-42
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    • 2006
  • This study investigates the determinants of output of a manufacturing firm's innovative activity (the number of patent applications) and spillover effects using a count data model. This paper attempted a negative binomial distribution In order to take into account unobserved heterogeneity. The results of our study suggested that Firm size, R&D intensity, technical network activity, and online business performance have significantly positive effects in the Korean manufacturing industry. Moreover, there are significantly positive spillover effects in the same industry sector.

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Innovation Height and Firm Performance: An Empirical Analysis from the Community Innovation Survey

  • ISOGAWA, DAIYA;NISHIKAWA, KOHEI;OHASHI, HIROSHI
    • KDI Journal of Economic Policy
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    • v.37 no.1
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    • pp.44-72
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    • 2015
  • This study evaluates the economic impact of product innovation by using firm-level data from the Community Innovation Survey conducted in Japan. It accounts for possible technological spillover from innovation activities and examines the extent to which new-to-market product innovations contribute to firm performance. Econometric analysis using a simultaneous equation model reveals that new-to-market product innovation is likely to increase a firm's sales without cannibalizing those of existing products and generate more technological spillover to other firms. Moreover, such innovation is more likely to emerge from firms collaborating with academic institutions. The paper concludes by discussing policy implications of these findings as well as points to the importance of cross-country comparison between Korea and Japan.

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Spillover Effects of Patents and strengthening of Intellectual Property Rights on Productivity and Innovation: Intra- and Inter-industry Spillovers of IT Industry (특허권 강화와 특허출원 변화의 기술혁신 및 생산성 파급효과: 산업내 및 IT산업의 산업간 파급효과를 중심으로)

  • Kim, Jeong-Eon;Kang, Sung-Jin
    • Journal of Technology Innovation
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    • v.15 no.1
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    • pp.145-173
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    • 2007
  • Using patent and firm-level panel data for 1982-2001, this study investigates spillover effects of patents and the strengthening of intellectual property rights on Productivity and Innovation. As well as we consider the effect of intra-industry spillovers, we extend the effect to inter-industry spillovers which implies the effects of IT industries on non-IT industries. The empirical results are summarized as follows. First, allowing for firm-level variables, market competition and technological spillovers, the strengthening of intellectual property rights does not play a significant role on innovative activities. Second, while innovative activities of domestic firms affect significantly firms' innovative activities, those of foreign firms do not. Third, innovative activities of IT industries as inter-industry spillovers play a significant role on innovative activities and labor productivities of domestic firms.

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An Empirical Analysis on the Diffusion Impact of IT Technological Knowledge (정보통신 기술지식의 파급효과에 대한 실증분석)

  • 조형곤;박광만;이영용;박용태;김문수
    • Journal of Technology Innovation
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    • v.8 no.1
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    • pp.73-94
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    • 2000
  • The main objective of this research is to examine the spillover effects of technological knowledge from IT industry to other industrial sectors and, based on empirical findings, to draw policy implications and suggest policy directions. To this end, we divide IT industry into IT equipment and IT service, assuming that these two sub-sectors are considerably different each other in terms of technology knowledge flow. Other industries are classified into 17 different sectors based on the KSIC of 1990. As the proxy measure of technological knowledge, the notion of R&D stock is employed. The Input/output(I/O) Table is used to define the inter-industrial flow pattern and to draw the knowledge flow matrix. As the research methodology, cost function model is employed to gauge the spillover effects of technological knowledge of IT industry. Based on the results of analysis, it is found that the economic impact of technology diffusion also exhibits a different pattern between IT equipment and IT service. The diffusion of IT equipment tends to show labor-substitution effect whereas IT service displays labor-creation effect. This fact should be considered in devising industry, education, and labor policy. The expectations from this research are as follows. First, the sectoral pattern, difference between IT equipment and service in particular, identified from this research may shed light on the sector-specific policy direction. It is emphasized that a sector-specific approach, rather than an aggregate approach, is relevant for formulating IT policy. Second, it is expected that the importance of technology diffusion programs and policy measures are recognized among policy makers in IT industry.

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Spillover Effects of FDI on Technology Innovation of Vietnamese Enterprises

  • HOANG, Duc Than;DO, Anh Duc;TRINH, Mai Van
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.655-663
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    • 2021
  • This paper aims to develop a conceptual framework for determinants of spillover effects of FDI on technology innovation of Vietnamese enterprises. The research proposes a logistic regression model for assessing how enterprises' ability to implement technological innovation is affected by the presence of FDI enterprises as well as other factors that show the change through the indirect influence of FDI such as the size of the enterprise, the type of enterprise, and the skill level of the labor force or its research and development activities. Five forms of technology innovation are considered: improving production process; product quality improvement; product expansion; expanding business activities into a new field of production; and changing business activities into a new field of production. General Statistics Office of Vietnam provided survey data to collect information from 3,166 enterprises in the manufacturing and processing industry in Hanoi, which were valid for analysis. The results show that all variables of enterprise type, size, R&D, and industry have a positive impact on the selection of one of the innovation forms. Several recommendations are further suggested to take advantage of the positive effects and minimizing the negative effects of FDI for technological innovation of Vietnamese enterprises.

Exploring trends in blockchain publications with topic modeling: Implications for forecasting the emergence of industry applications

  • Jeongho Lee;Hangjung Zo;Tom Steinberger
    • ETRI Journal
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    • v.45 no.6
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    • pp.982-995
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    • 2023
  • Technological innovation generates products, services, and processes that can disrupt existing industries and lead to the emergence of new fields. Distributed ledger technology, or blockchain, offers novel transparency, security, and anonymity characteristics in transaction data that may disrupt existing industries. However, research attention has largely examined its application to finance. Less is known of any broader applications, particularly in Industry 4.0. This study investigates academic research publications on blockchain and predicts emerging industries using academia-industry dynamics. This study adopts latent Dirichlet allocation and dynamic topic models to analyze large text data with a high capacity for dimensionality reduction. Prior studies confirm that research contributes to technological innovation through spillover, including products, processes, and services. This study predicts emerging industries that will likely incorporate blockchain technology using insights from the knowledge structure of publications.

FDI Spillover Effects on the Productivity of the Indian Pharmaceutical Industry: Panel Data Evidence

  • DESAI, Guruprasad;SRINIVASAN, Palamalai;GOWDA, Anil B
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.8
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    • pp.109-121
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    • 2022
  • The study empirically examines the horizontal spillover effects of foreign direct investment (FDI) on the productivity of Indian pharmaceutical firms. Robust least squares and the Generalized Method of Moments estimators are applied for the firm-level panel data of Indian pharmaceutical companies whose shares were traded on the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE). The information was collected from the Centre for Monitoring Indian Economy (CMIE) Prowess database from 2015 to 2019. Based on the regularity in data availability, the sample firms are limited to 112 companies, 100 of which are domestic firms and 12 international firms. Firms with more than 10 percent foreign equity are classified as FDI firms, while those with less than that are classified as domestic firms. Estimation results show that foreign ownership does not contribute to the productivity of domestic firms. Due to increased competition, the Indian pharmaceutical companies with foreign equity participation are not more productive than local ones. Moreover, the findings reveal a negative and insignificant horizontal spillover effect from FDI on the productivity of domestic enterprises. The absence of horizontal spillovers may be attributable to foreign enterprises' ability to prevent technological outflow to competitors in the same industry.

Nonlinear Relationship Between Technological Entrepreneurship and National Competitiveness: The Moderation Effect of Innovation-driven Economy

  • Yang, Seung-Lin;Kim, Yong-Shin;Chung, Doohee
    • Journal of Technology Innovation
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    • v.27 no.3
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    • pp.113-142
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    • 2019
  • Based on the Knowledge Spillover Theory of Entrepreneurship, this study analyzes the relationship between technological entrepreneurship and national competitiveness. It also analyzes how innovation-driven economy moderates this relationship. Using data on technological entrepreneurship, national competitiveness indexes and economy development stages from 83 countries over 2011 to 2014, this study finds that a ratio of technology-based start-ups in a country has a U-shaped relationship with national competitiveness. this study also finds that countries that are in the innovation-driven economy strengthen this relationship. This finding shows that a higher ratio of technology-based start-ups of a country does not have unconditional positive effects on national competitiveness, thus, related environments and conditions should be elaborately matched. In particular, this finding also implies that policies related to technology-based start-ups should have a proper fit with the level of economic development of the country so that the positive effects of technological entrepreneurship on national competitiveness can be strengthened.