• Journal of the Economic Geographical Society of Korea
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• v.13 no.2
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• pp.181-195
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• 2010

The policy of industrial complexes (innovative clusters) is being changed to build the linkage structure within Mega Economic Region according to the national policy of Mega Economic Region. The aim of this analysis is to draw the hypothetical linkage structure of industrial complexes in the internal and external Capital Region. First, with the survey data of firms located in the industrial complexes, we can catch the regional linkages of firms in the local area and internal and external Mega Economic Region. Next, the measure of structural similarity between industrial complexes is calculated with the number of employees by industrial sectors. After considering the geographical distance between industrial complexes, the percentage of industrial sectors and the location quotient synthetically, the idea of hub-and-spoke type linkage structure between clusters is deduced.

• Journal of Korea Technology Innovation Society
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• v.10 no.1
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• pp.98-120
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• 2007

This study analyzed the linkage relations of technological innovation between Daedeok Innopolis and other seven innovative clusters in industrial complexes which have played important roles as innovative centers in Korea. To begin with, we selected major technologies of Daedeok Innopolis for which the linkage with other clusters of innovative activities was analyzed quantitatively and graphically with association matrices, network analysis and dendrogram. Based on this network analysis, we analyzed the technological linkage among clusters and found the direction and strength of technological cooperation of the Daedeok Innopolis with other innovative clusters by technology field. This study analyzed the technological network between the Daedeok Innopolis and other clusters on 6 technology fields in which Daedeok has innovative capabilities. In the analysis was measured the centrality of Daedeok compared with that of other clusters in areas where Daedeok is relatively active in innovative activities. As a result, Daedeok showed the highest centrality with the active innovative activities. Except Daedeok, Banwol-Sihwa cluster showed the highest centrality in all of the 6 technology fields. Putting all the centrality of each innovative cluster and the linkage relations of Daedeok Innopolis together, it need to consider the following policy directions to strengthen the innovative linkage with other clusters. In Daedeok's main technology areas, it needs to increase the regional linkage with the clusters with relatively high centrality and relatively low linkage with Daedeok. For Changwon, Wonju and Gunsan with which Daedeok has the relatively low innovative linkage, it need to examine a new policy to improve the linkage with technologies related with the industry other clusters are nurturing. When Daedeok formulates a plan to cooperate with other clusters, it does not only have to consider the linkage relations of technological innovation analyzed in this study and but also has to examine the cooperative strategies from the comprehensive point of view considering every aspect of their strategic industries, supportive policies, industrial base and competitiveness. This study analyzed the linkage relations between regions based on the network analysis of patents only by co-invention. Consequently, it did not examine the factors inducing the co-invention, which is a limitation of the study and is to be investigated in the future. Also, the exploratory analysis on determinants of linkage intensity and the strategies to get synergy effects through solidified linkage will be the issues of further study.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.1
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• pp.45-58
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• 2008

This study aims to analyze the interregional trade and industrial linkage between the Incheon regional economy and the rest of the nation. An interregional input-output table developed by the Bank of Korea's Incheon branch(2007) was employed for this. The analysis of interregional trade shows that Incheon regional economy is strongly interrelated with Seoul and Gyeonggi regional economies. The Incheon's interregional relationship with other regions was analyzed in terms of output dependency rate, output inducement rate, backward linkage, and forward linkage. The results indicated that while the output of Incheon is more dependent on final demands in Seoul and Gyeonggi, changes of the final demand in Incheon cause more output in the rest of nation than that in Seoul and Gyeonggi. Also, while Incheon's backward linkage to Seoul and Gyeonggi is weaker than that to the rest of nation, Incheon's forward linkage to Seoul and Gyeonggi is stronger than that to the rest of nation.

• Journal of the Economic Geographical Society of Korea
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• v.21 no.2
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• pp.77-89
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• 2018

The purpose of this paper is to analyze the industrial linkage between manufacturing and service industries in Seoul and Busan. In this paper, the industrial linkage between the manufacturing and the service industry is analyzed through input-output coefficient and production inducement coefficient. The results are as follows. First, the linkage of the service industry to the manufacturing in Seoul was higher than that of Busan. Second, Busan had a low input proportion of the service industry supplied by its own area to the manufacturing, so that the effect of the growth of Busan manufacturing on the regional economy is limited. Third, the linkage of manufacturing to service industry in Busan was found to be higher than that of Seoul. Finally, policy directions for improving the industrial linkage between manufacturing and service industries were suggested based on the results.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.5
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• pp.103-118
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• 2018

This study compared the production inducement effects of primary industries between Korea, China, and Japan for the period from 2000 to 2014, by examining the forward and backward linkage effects using the World Input-Output Tables. Although research on the industrial effect of primary industries has been conducted actively, this study is contributive since it compares the differences in industrial linkage effects between Korea, China, and Japan. According to Fisher(1939)'s and Clark(1957)'s classifications of primary industries, this study classified agriculture, forestry, fishing, and mining industries as primary industries. The analysis methodology of this study is to use the World Input-Output Tables to create the industry linkage model between Korea, China, and Japan, and then conduct a comparative analysis. According to the results of this study, the forward and backward linkage effects of agriculture industry between Korea, China, and Japan are significantly different, while the forward and backward linkage effects of forestry and fishing industries between Korea, China, and Japan are partially different. By comparing the changes in industrial dependencies of primary industries due to the 4th Industrial revolution between the three countries, this study suggested the future development direction of primary industries.

• Korea Trade Review
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• v.47 no.1
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• pp.115-130
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• 2022

In this study, I focus on analyzing how the effects of implementing ETS are different depending on whether Korean ETS linking with carbon markets in other countries. The global computable general equilibrium (CGE) model built in this study analyzes the chages in the production and trade of industrial sectors according to the international linkage of ETS compared to the reference scenario of emissions reduction targets and implementation of ETS. From the analysis of internatioanl linkage of carbon markets scenarios, Annex B countries-South Korea carbon market linkage with individual ETS in China worse the economic outcomes in South Korea the most. This means South Korea lose the international competitiveness compared to China in this scenario. On the other hand, Annex B-China carbon market linkage with Korean individual ETS implementation reduce the decreases in production and trading. The most effective way is to join a global emissions trading market with China. The results are consistent in most industries of South Korea. These results are caused by that the supply of emission allowance is increased and the price of emissions allowances is dropped by China's participation to the carbon market, which can be understood to reduce the carbon reduction cost for industrial sectors. In addition, it can be also concluded that the determinant of the negative impact of ETS on changes in production and trade is more sensitive to the price of emissions allowances than to the characteristics of production and trade structure.

• Journal of Agricultural Extension & Community Development
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• v.22 no.1
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• pp.25-30
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• 2015

This study established administrative districts of Myeon based on linkage analysis for Chungwa-myeon, Oksan-myeon, Naesan-myeon and Yanghwa-myeon which have the population of less than 2,000 among 15 Myeons in Buyeo-gun, Chungcheongnam-province. As the result of the analysis, it was analyzed that Chungwa-myeon was the most highly linked with Imcheon-myeon. Oksan-myeon had high linkage with Hongsan-myeon while Naesan-myeon had high linkage with Guryong-myeon. Lastly, it was analyzed that Yanghwa-myeon had high linkage with Chunghwa-myeon and Imcheon-myeon. It can be judged that this result comparatively agrees with the local history and policy of Buyeo-gun. Since the average area of a 'Myeon' is much larger than that of 'Dong', it will be difficult to provide administrative services if they are forced to be consolidated based only on population. Thus, it is necessary to establish standards which consider the population and area simultaneously.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.spc
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• pp.9-18
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• 2023

In the global manufacturing industry, digital transformation is emerging as an important issue for companies to improve productivity and strengthen industrial competitiveness. The government and shipbuilding companies drive research and development to attain advanced technologies through digital transformation for shipbuilding & offshore plants, one of Korea's representative manufacturing industries. Therefore, the digital transformation of the shipbuilding & offshore plant industry was defined using an input-output analysis model, and the economic interrelationships of industries linked to the digital transformation of the shipbuilding & offshore plant industry were analyzed. According to the analysis, the shipbuilding & offshore plant industry ranks second among all 34 industries regarding the forward linkage effect. The backward linkage effect was ranked 27th, making it a mid-demand industry with a robust forward linkage effect. In addition, the production-induced effect was 0.455, the value-added-induced effect was 0.174, and the employment-induced effect was 1.779 people per billion won. The contribution of this study is that it will provide the basis for establishing policies necessary to strengthen the competitiveness of the shipbuilding & offshore plant industry. Also, it will help analyze the economic effects of digital transformation in other manufacturing industries.

• Journal of Korea Technology Innovation Society
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• v.15 no.1
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• pp.47-75
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• 2012

Basic research have contributed to technological growth or economic growth in U.S. Specially recent studies say that universities also contribute to economic development through scientific activities like science research, education, technology transfers. But we can not assure whether scientific knowledge was connected to real technology or economic performance, and it is difficult to figure out the effect of scientific output. "What is the exact performance of scientific knowledge?" It is still obscure. In this context, this paper analyzes characteristics of the linkage of science and technology. Data are U.S. R&D expenditure, scientific articles, citation of articles in U.S. patents by fields and sectors. As a result, university sector has the most weight of the linkage of science and technology. But, in relative connection rate analysis, industrial sector's is stronger than any other sectors. In the field analysis, linkage of science and technology is very strong in Chemistry, Physics, Biological sciences fields. And recently the linkage was increased in the fields of Computer science, Agricultural science, Engineering. Finally, this paper supports funding policy or estimation policy of government to product of scientific knowledge. University sector is still important because it has the most weight of the linkage. Scientific knowledge of industrial sector is also important. The connection rate of industrial science is the strongest in all sectors. And this research classify the R&D type by science fields. Considering the differences of science fields is needed to product science knowledge effectively.

• Proceedings of the Technology Innovation Conference
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• 1999.12a
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• pp.197-215
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• 1999

With the advent of knowledge-based economy and information society, information and telecommunications(IT) industry is reckoned as the crucial sector for the creation and diffusion of technological knowledge. In this study, we analyze the process of 'industrialization of IT'and 'informatization of industries' based on the technology linkage structure, or technological knowledge network. The former is defined as the process whereby IT industry absorbs technological knowledge from other industries to grow as an independent industrial sector. The latter is defined as the process whereby other industries adopt IT technology to enhance productivity and upgrade industrial structure, We employ the R&D stock as a proxy for technological knowledge of respective industries and measure the flow of technological knowledge between industries in terms of I/O relationship. By applying the network analysis, we examine the changing pattern of technology linkage structure of the Korean industry throughout the years from 1983 to 1997. Some policy implications are presented based on the findings from the analysis.