• The Journal of Fisheries Business Administration
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• v.39 no.3
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• pp.67-90
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• 2008

In this study, we aimed to build the basic calculation model for linkage effects of fishery industry among Korea, China and Japan. For the calculation, we reconstructed the asian international input-output table, and on the basis of the reconstructed table, we made some analyses on the inter-relations among 3 nations focusing fishery industry. As the results, some positive backward linkage offsets of the fishery industries were found among 3 nations, and especially, production inducing effect of Chinese fishery industry to Japanese supplier was remarkable.

• Journal of Korean Society of Transportation
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• v.28 no.1
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• pp.107-114
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• 2010

This study aims to identify the impact of the logistics industry on the Korean national economy. To do this, we used a MRIO table provided by the Bank of Korea which includes inter and intra regional relationship of the production and consumption for 6 areas - the Seoul Metropolitan, Gangwon, Chungcheong, Jeonra, Gyeongbuk, Gyeongnam area, but an original MRIO table was recomposed of 29 sectors focused on logistics industry for the purpose of this study. we analyzed producing-inducing effects, supply-shortage effects and inter-industry linkage effects based on logistics industry by region and industry. As a result, the logistics industry has more supply-shortage effect rather than production-inducing effect and has a higher ripple effect on the automotive in Gyeongnam area and petrochemical industry in Jeonra area. In particular, the ripple effect of th Metropolitan logistic industry was far smaller than that of other areas, because the Seoul Metropolitan industry was identified as the primary and middle demand industry.

• Journal of Information Technology Services
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• v.17 no.2
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• pp.49-67
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• 2018

This study compares economic impact between Software and Medical industry through Input Output Table by Bank of Korea. We classify Software and Medical industry by The ninth Korea Standard Industry Classification and use linkage effects, value added inducement coefficient, and labor inducement coefficient to analyze economic impact. First, software and medical industry have different linkage effects between backward and forward. Second, They have higher value added inducement coefficient than average of all industry. Third, They not only have higher labor inducement coefficient than average of all industry but also simillar effect on labor induction. According to the result of this study, software and medical industry have high economic impact on Korea economy, and therefore are intensively fostered by policy support.

• International Commerce and Information Review
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• v.17 no.1
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• pp.241-264
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• 2015

This study analyzed backward and forward linkage effects among Korea, China and Japan by International Input-Output(I-O) tables. Index of dispersion power and sensitivity degrees were measured after making 'Korea, China and Japan International Input-Output(I-O) Table'. The study showed that the inter-dependency between Korea and China was increased while the influences of Japanese was decreased among the 3 countries. Under the de-industrialization, the 3 countries decreased influences over their domestic industry but increased the inter-dependency over the other countries. In addition, backward and forward linkage effects was significantly high in some industrial sectors such as petroleum, transportation, machinery equipment, service and public administration in 3 countries. In the case of service, the linkage effects among the 3 countries increased which means that the roles and inter-dependency of service was also gradually increasing in 3 countries.

• Environmental and Resource Economics Review
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• v.11 no.4
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• pp.581-608
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• 2002

The electric power industry has played an important role in dramatic economic development in Korea and the electricity has constituted a critical factor sustaining the well-being of the Korean people. This study uses input-output analysis to investigate the role of four electric power sectors (hydroelectric, fossil-fuels, nuclear and non-utility) in the Korean national economy for the period 1985~1998, focusing on four topics: the impacts of electricity supply investments, the electricity supply shortage effects, and the impacts of the rise in electricity rates, and the inter-industry linkage effect. The overall results reveal that non-utility electric sector is superior in terms of the national economy-wide effects to other three sectors throughout the period. Finally, potential uses of the results are illustrated from the perspective of policy instruments and some policy implications are discussed.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.1-10
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• 2013

The value added network service industry has played and important role in the telecommunication service industry and in the economic development of Korea. This study uses input-output analysis to investigate the role of value added network service sector in the Korean national economy for the period 2000, 2005, 2009, focusing on four topics in its application: production inducing effects, value-added inducing effect, employment-inducing effects by demand-driven model and supply shortage effect by supply-driven model, inflation impacts by the Leontief price model, finally analysing inter-industry linkage effects. The results of this study are as follows: production inducing effects analysis 2000 0.5253won to 2009 1.31314won, value-added inducing effects 0.25112won to 0.5337won employment inducing effects from 0.09749 to 0.21025 people grew, the supply shortage effect from 1.29003 to 2.12048won, price impact of Leontief price model was increased from 0.0022% to 0.00258%. Finally, inter-industry linkage effects, appeared to have the characteristics of final demand raw industrial.

• Spatial Information Research
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• v.21 no.1
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• pp.37-44
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• 2013

This study sets the boundary of U-City industry based on expert surveys. Based on this U-City industry boundary, an appropriate inter-industry analysis is performed. The result shows production inducement coefficients, value added inducement coefficients, employment & enter employment inducement coefficients, influence coefficients and induction coefficients. Based on these coefficients, overall characteristics and spillover effects of U-City industry are examined. The result of this study shows that U-City industry has bigger value added-induced effects and employee-induced effects than other industry. The result also shows that U-City industry also has a great forward linkage effect. This study has a meaning that could be used to make political decisions as a basic data.

• Environmental and Resource Economics Review
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• v.18 no.4
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• pp.637-652
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• 2009

We measure and compare inducements of energy consumption in different industry sectors using inter-industry input and output tables of 1995, 2000 and 2005. We also compute the multiplier effects that relate to the directions of future economic effects. Key Findings are as follows. First, we observe continues decreasing linkage effects in all industries over period of 1995 to 2007. Second, backward multiplier of energy consumption were highest in the material related industry and chemical industry. As for inter-industry inducements, the indirect backward multipliers were high in the other industry. Third, the forward multiplier effect of energy consumption were as same as the backward multiplier effect's sectors. The indirect forward multipliers, however, were highest in the material related industry and chemical industry. The above findings show that since implementing pro-environmental policy in 2000s, the industries structure for reducing energy consumption has been transformed.

• Knowledge Management Research
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• v.17 no.1
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• pp.73-89
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• 2016

The digital culture contents is one of the fastest growing industry in Korea and it accounts for 60% of the digital contents industry. This paper attempts to analyze economic impacts of the digital culture contents industry using input-output analysis. This study investigated the production-inducing effect, value-added-inducing effect and employment-inducing effect of the digital culture contents industry based on a demand-driven model. In addition, the study dealt with the supply shortage effect and sectoral price effect of the digital culture contents industry using a supply-driven model and the Leontief price model, including the inter-industry linkage effects of 29 sectors with the digital culture contents industry sector. Some interesting findings were drawn from the study. First, production of 1.0 won in the digital culture contents industry results in production-inducing effect of 2.39542 won, value-added effect of 1.29895 won and employment-inducing effect of 0.39657 persons in other industries. Second, the supply shortage of 1.0 won in the digital culture contents industry prevents other industries from producing 0.56631 won. Third, a 1% increase in the price level of the digital culture contents industry raises the overall price level by 0.06017%. Finally, very high backward linkage effects were found, but forward linkage effects were minimal.

• Ocean and Polar Research
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• v.32 no.4
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• pp.489-499
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• 2010

The securing of raw material is an important requirement for economic development. Many countries, including Korea, actively seek out a stable supply of minerals such as manganese. Manganese nodules are rock concretions on the sea bottom formed of concentric layers of iron and manganese hydroxides around a core and include several strategic minerals necessary for economic development. In particular, the manganese nodule development project (MNDP) plays an important role in the Korean national economy. This study attempts to apply input-output (I-O) analysis in investigating the economic impacts of the MNDP in the Korean national economy. A static I-O framework was employed, focusing on four topics in its application; the production-inducing impacts, the value-added-inducing impacts, the employment-inducing impacts and R&D-inducing impacts of MNDP investments on other sectors. To this end, several versions of the demand-driven models are utilized. In addition, inter-industry linkage analysis is performed to obtain information on the forward and backward linkage effects of industries, including MNDP, to quantify the strength of causation among these industries.