• East Asian Journal of Business Economics (EAJBE)
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• v.7 no.4
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• pp.51-58
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• 2019

Purpose - This paper aims to analyze the difference of technological innovative pattern by industry. Research design and methodology - we try to identify the major factors which can exert an effective influence on actual innovation output, utilizing the result of Korean Innovation Survey. By doing so, this work can make a comparison with Pavitt (1984) and succeeding discussion on sectoral pattern of innovation Results - Analysis on major industry in Korea shows that there are substantial differences in terms of the source of innovation, organization-related factor, and appropriation mechanism among each industry, and differential strategy to be proper for the nature of each industry is needed. There is some variation within industries which deemed as same type of sector defined by Pavitt. Conclusions - This analysis call for elaborate analysis on sectoral pattern of innovation, considering the change and difference of innovative environment as well as differential business strategy and way to do innovate, which is proper considering the nature of innovative pattern in each industry for successful technological innovation in Korea. At the same time, proper policy measure considering the differential pattern of technological innovation is needed.

• East Asian Journal of Business Economics (EAJBE)
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• v.8 no.4
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• pp.67-77
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• 2020

Purpose - This work tries to analyze the transformation of sectoral innovation pattern as time goes by to enhance the understanding on sectoral innovative activities, particularly considering the change of the nature of knowledge, and the trend of convergence. Research design, data, and methodology - This work tries to identify main factors, which determine the output of technological innovation through the econometric analysis, utilizing the result of Korean Innovation Survey and find a stylized fact on the change of the innovation pattern. Result - As a result of estimation, some major elements show different effects for two discrete years, 2002 and 2010; in chemical industry the open information source and neutral basic research become more important with the appropriation mechanism such as patents, and in machinery industry, the importance of internal information has been getting decreased with rising importance of customers. Conclusion - This work presents that some elements show different effects for two discrete years. Among three major elements, the source of information and appropriation mechanism shows different features for both industries. This means that we should explicit consider the changing nature of innovative environment, which leads to and heavily influence whether the innovative activity would be effective or not when we design innovation strategy and innovation policy.

• Journal of Korean Society for Atmospheric Environment
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• v.28 no.4
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• pp.466-476
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• 2012

This study calculated monthly and sectoral (for industry, energy industry, transport, residential, commercial and public sectors) greenhouse gas (GHG) emissions of Seoul, Korea from 1999 until 2009 with following the IPCC 2006 Guideline for National Greenhouse Gas Inventories through an analysis on available monthly data of fossil fuel and electricity consumption for the period. The time series analysis showed that GHG emissions had significant cyclical pattern season by season with the highest peak in August and the lowest peak in January throughout the period. The analysis on monthly and sectoral energy consumption showed that residential, commercial and public sectors had emitted about 65% of total GHG emissions of Seoul and had consumed more energy in winter for heating. About 30% GHG of Seoul was emitted from transport sector but its monthly energy consumption showed irregular pattern and it consumed 80% petroleum (in 2009) of Seoul. Hopefully together with further study on this subject, it is expected that this study can be used as basic data for various research regarding Greenhouse gas baseline emission, energy consumption pattern and estimation for future GHG emission of Seoul.

• Journal of Technology Innovation
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• v.7 no.2
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• pp.119-144
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• 1999

Recently, knowledge management(KM) has attracted increasing attention from academicians and practitioners alike. Amongst others, technological knowledge(TK) is considered principal asset of KM and R,&D organization of private firms selves as primary actor of KM. It is also noted that the notion of sectoral pattern of innovation highlights idiosyncratic differences across industrial sectors in terms of TK management. That is, knowledge contents, knowledge generation and How pattern are considerably different among industries. This paper first analyzes the correlation between structural of R&D organization and industrial(sectoral) type to identify the dominant structure of R&D organization for each industry. Second, sector-specific architectures of TK management system are proposed. According to structural characteristic of R&D-organization type, test-practice forms of TK management system are suggested in terms of such factors as knowledge contents(technology information), knowledge generation activities, and knowledge storage/retrieval modes.

• Journal of Korea Technology Innovation Society
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• v.9 no.4
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• pp.776-795
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• 2006

This paper aims at examining technological catching-up in the Korean IT SoC industry using the theories of technological catching-up and sectoral system of innovation. The Korean IT SoC industry has accomplished rapid technological catching-up by the process of variety generation and selection. In the process, Korean fabless ventures have pursued the technological path-creative pattern in niche markets. But the cooperative networks among various firms are prerequisite for the coevolution of sectoral innovation system.

• 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.

• Korean Journal of Construction Engineering and Management
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• v.15 no.3
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• pp.120-127
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• 2014

Currently Welfare is emphasized and the trend of SOC investment shows downwards slopping. The pattern of SOC investment also changes focusing on railroad as environmental issues are critical. This study analyzes and compares the effects of sectoral SOC investments based on Input-Output Tables published by BOK (Bank of Korea). The production inducement, value-added inducement, and employment inducement effects of each sector SOC, which consist of road, railroad, port, and airport, are investigated. First, in view production inducement, sectoral SOC investments have stronger economic effects than manufacture sector. The investment of port and road show the highest value-added inducement in construction process. The investment of road records the highest employment inducement in construction and operation process. The empirical ananlysis of regional economic effects, using Regional Input-Output Tables, supports these explanation showing almost same results. As synthesizing these results, the SOC stocks have to be invested consistently for long periods. Especially the road investment is inevitable for employment. Which sector of SOC is invested depends on circumstances. If government emphasizes production inducement, railroad is invested. If focuses on value-added inducement, port.

• 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.

• Environmental and Resource Economics Review
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• v.20 no.2
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• pp.229-254
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• 2011

In this paper, we decomposed Greenhouse-Gas emissions of Korea's manufacturing industry using LMDI (Log Mean Divisia Index) method. Changes in $CO_2$ emissions from 1991 to 2007 studied in 5 different factors, industrial production (production effect), industry production mix (structure effect), sectoral energy intensity (intensity effect), sectoral energy mix (energy-mix effect), and $CO_2$ emission factors (emission-factor effect). By results, the structure effect and intensity effect has a role of reducing GHG emissions and The role of structure effect was bigger than intensity effect. The energy mix effect increased GHG emissions and emission-factor effect decreased GHG emissions. By time series analysis, IMF regime affected the GHG emission pattern. the structure effect and intensity effect in that regime was getting worse. After 2000, in the high oil price period, the structure effect and intensity effect is getting better.

• Journal of Korea Technology Innovation Society
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• v.13 no.2
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• pp.332-364
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• 2010

External linkages affect the performance of small and medium enterprises in diverse ways. This study delves into the impact of inter-organizational collaboration by looking at different facets of performance, such as innovation, sales growth, profit growth, and firm survival. In addition, it explores the influence of informal knowledge spillover from collaborative partners as well as from formal collaborations. The impact is carefully investigated by dividing firm samples into three different sectoral innovation categories: supplier-dominant, production-intensive, and science-based sector suggested by Pavitt (1984). The result highlights the different influence pattern of collaborative relations by partner types according to sectoral categories. The positive results of collaborating with universities and public institutions are identified, and the sales growth by customer linkage is witnessed. The impact is apparent in science-based sectors. The result implies that the risk associated with collaborating with competitors may be moderated by linking performance enhancing collaborative linkages with universities and government institutes.