• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.355-364
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• 2021

The main objective of this study is to examine the interactive effect of technology spillover channels on business efficiency within the case study of manufacturing industry of Vietnam during the period from 2012 to 2018. The research model was developed with business efficiency as dependent variable and the relevant factors affecting the technology spillover capacity as independent variables. With a sample of 2,776 cross-sectional enterprises, panel data analysis approach was adopted to estimate the impact of technology spillover issue. Different spillover channels were also included in the analysis to enhance the empirical result. The study reveals that technology spillovers positively influence manufacturing business efficiency, in which horizontal spillover channel produces negative impact and vertical spillover channel, creates positive impact. Several factors that negatively affect the technology spillover capacity of businesses could be mentioned such as limited skills and experiences of workers, methods of implementing R&D, and the existence of FDI enterprises. Meanwhile, the rise of other factors related to joint-venture activities can help to increase the technology spillover capacity of businesses. In addition, skill and experience transfer makes a partial impact since this variable only positively affect the vertical spillover channel and provide no evidence of impact regarding horizontal spillover channel model.

• Journal of Technology Innovation
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• v.22 no.3
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• pp.225-260
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• 2014

In this paper, we present a literature review of the mechanisms and methodology for technology spillover, in order to provide a theoretical and practical foundation for estimating the technology spillover effect of public funded R&D programs. Our research consists of four parts. First, we investigate what technology spillover is and how it works. Second, we review the methodology used to empirically measure technology spillover, with a view to understanding the advantages and disadvantages of each method. Third, we identify the gap between the spillover phenomenon and its estimated results, caused by the limitations of the methodology, and discuss the challenges in measuring technology spillover. Finally, we present several considerations to improve the measurement of technology spillover in the context of public funded R&D programs. Our paper provides policy makers and researchers with basic knowledge about technology spillover and helps them suitably evaluate the results obtained from the literature review. In addition, it contributes towards improving the existing methodology by recognizing the gap between the spillover phenomenon and the methodology.

• 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.

• Journal of the Korean Institute of Gas
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• v.4 no.4 s.12
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• pp.34-41
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• 2000

The purpose of this paper is to assess the R&D investment of Korea Gas Corporation (Kogas) by combining several measures including R&D needs, technology spillover effects, and technology stock at the corporate level. This study has revealed that Kogas has concentrated its R&D resources on the operation and maintenance of gas supply facilities, and technology groups, which have higher fulfillment of R&D needs and technology spillover effects, have been on the relatively greater level of technology stocks.

• Korean Journal of Organic Agriculture
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• v.27 no.4
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• pp.391-408
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• 2019

The purpose of this study is to analyze the spillover effect of R & D investment focusing on agriculture sector. Therefore, the Korean industry is divided into 18 industries and the data period including 1970 ~ 2014 is analyzed. In addition, the method is based on the analysis of the production function, the growth contribution of the production factor, and the spillover effect of other industries that affect the agricultural output. The results of this study are summarized as follows. First, R & D investment has a positive effect on the production of Korean agriculture. Second, the impact of high tech industry R & D investment on Korean agriculture is positive. Third, the R & D investment in the public sector is relatively higher than the R & D investment in the private sector. In the R & D stage, the R & D investment of the first level technology has a great influence on the production of agriculture. As a result of this study, governments should consider the above mentioned research results to determine resource priorities based on limited resources in relation to R & D investments that contribute to production and economic growth.

• Journal of Korea Technology Innovation Society
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• v.7 no.2
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• pp.325-349
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• 2004

This paper tried to evaluate an economic analysis about research and development far areas of renewable resource in Korea. To evaluate this validity, we tried to calculate the spillover effect of R＆D investment through input-output table. In the first stage of spillover effect, we simply calculate the rate of return on R＆D investment for renewable energy resources in Korea through the input-output model, which can calculate the value added as well as output based upon the price of 2000 year. According to the first stage calculation, the rate of return on R＆B investment in solar heat is higher than any other renewable energy. In the second stage we tried to calculate the second round of spill over effect, which derives from the additional amount of supply of renewable resources due to the R＆D investment. The overall evaluation of R＆D invesment including the first stage as well as second stage spillover effect shows that bio-energy and waste energy generate 14 times as well as 2.5 times in the rate of return respectively.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.2
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• pp.71-80
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• 2014

Standard Industrial classification is a key factor of technology spillover effect. It is the result of the empirical study that is the IC(industrial classification) which influences the technology spillover effect by way of interaction term, or moderating effect combing independent variables and moderators. As relatively high technology industry is more important than the low counterpart in R&D management system. And the result of the study says that Government should support SME's considering the IC moderating effect and different subsidies which is appropriated to the SME's IC(industrial classification). This way of Government subsidy will improve the efficiency of industrial policy effect of SME's.

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.390-399
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• 2013

The purpose of this study is to examine the impact of enterprise R&D investment on inter-industry technology spillover in Korea under the new Normal Era. In order to do this, we tested the effect of production inducement, backward and forward linkage effects, and the effect of technology spillover such as technology intensity effects and technology diffusion effects based on an input-output framework. The results show that the high index industries of the production inducement effect were professional, scientific and technical activities, manufacture of metal products, and general machinery. Some manufacturers of other non-metallic mineral products and transport equipment sectors appeared to have the strong effect of forward and backward linkages that were almost equivalent to high-tech manufacturing industries. In particular, the industries of professional, scientific and technical activities appeared to have the strong effect of both forward and backward linkages. Therefore, we need to drive a strong policy support to higher enterprise R&D investment in the those particular industries not only to increase global competitiveness, but also to widen up the technology spillover effect on other industries.

• 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.

• Journal of Information Technology Applications and Management
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• v.21 no.4
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• pp.65-96
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• 2014

To have global competitiveness in newly growing industry, good quality R&D's in convergence technology arerequired. Korean government also started to emphasize the importance of convergence technology as a new engine of growth for the future development. Since 2008, worldwide energy crisis and concerns on low carbon green growth made people focus on the convergence between information technology (IT) and energy technology (ET). However, the R&D performance comparison among the convergence technologies is not well explored so far. Therefore, this study uses Korea's patent citation database to measure the R&D performance of convergence technologies. We adopt technology development cycle, technology spillover analysis, and technology diffusion analysis to see the knowledge flow from R&D industry to others. We find that IT_ET convergence technology generally shows higher R&D performance than other convergence technologies. Contrary to public belief, convergence R&D by big companies has relatively low performance especially measures in technology spillover and technology diffusion. This implies that they might concentrate on delicate Fuel Cell Energy/Environment Technology (FEIT) or Nano Environment/Energy Information Technology (NEIT) rather than general energy information technologies. We also find that Korea's chemical industry may play a crucial role for the growth of other convergence technologies.