• Journal of Korea Port Economic Association
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• v.39 no.2
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• pp.77-95
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• 2023

The regional infrastructure industries of Gwangyang City, the subject of this study, are Gwangyang Port and Gwangyang Steel Mill. Therefore, it is necessary to analyze the regional economic ripple effects of the port logistics industry in Gwangyang City. In this study, a multi-stage approach using the RW and the LQ methodology using the national input-output tables in 2015 and 2019 is used to prepare the regional interindustry analysis chart in Gwangyang City, and an exogenous demand induction model that reclassified the port logistics industry was applied. Through this, the purpose of this study was to provide policy implications by figuring out the regional economic ripple effects of the port logistics industry quantitatively in Gwangyang City. As a result of the analysis, the industries with high production inducement effect and forward/backward linkage effect of the port logistics industry in Gwangyang City were analyzed as manufacturing, transportation, land and air logistics sectors. And the industries in which the added value inducement effect and the employment inducement effect were analyzed as an industry related to the service industry. Therefore, it is necessary to prepare support measures to foster the port logistics industry as a way to promote these industries and revitalize the local economy of Gwangyang City. To this end, it is desirable to improve policies and systems for the vitalization of the Gwangyang port maritime cluster and provide various policy support for the port logistics industry in Gwangyang City. This study is meaningful in suggesting policy implications for the regional economy of Gwangyang City based on the results of exogenous analysis of the port logistics industry in small and medium-sized cities. However, It seems that further studies related to this will be needed in the future.

• Journal of Biomedical Engineering Research
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• v.17 no.3
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• pp.395-401
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• 1996

In this paper a new neural network model, time delayed counterpropagation neural networks (TDCPN) which have high recognition rate and short total learning time, is proposed for electromyogram(EMG) recognition. Signals the proposed model increases the recognition rates after learned the regional temporal correlation of patterns using time delay properties in input layer, and decreases the learning time by using winner-takes-all learning rule. The ouotar learning rule is put at the output layer so that the input pattern is able to map a desired output. We test the performance of this model with EMG signals collected from a normal subject. Experimental results show that the recognition rates of the suggested model is better and the learning time is shorter than those of TDNN and CPN.

• Environmental and Resource Economics Review
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• v.22 no.1
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• pp.31-52
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• 2013

The recent analyses of carbon emissions embodied in international trade are related with discussions on who is responsible for the carbon emissions causing global warming. Some authors insist that the countries importing carbon-intensive goods should share the responsibility with the suppliers of those goods. In order to determine which countries are net importers of carbon dioxide embodied in traded goods, we need to construct the multi-regional input-output (MRIO) model incorporating national input-output tables and data on bilateral trades. The paper calculates consumption-based as well as production-based inventories by using MRIO model whose global database is GTAP version 8 to get the picture of carbon footprints in international trades of Korea and other regions in the world.

• Journal of the Economic Geographical Society of Korea
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• v.14 no.4
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• pp.616-627
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• 2011

The study aims to analyze the effects of attracting companies from Seoul Metropolitan Area on regional value-added and employment using a regional input output model and to suggest the most appropriate categories in attracting business based on the result from the analysis. It is assumed that large manufacturing companies in Seoul Metropolitan Area are relocated to 5+2 supra-economic region in this paper. The result shows that selection of categories in attracting businesses should be depend on the characteristic of regional industrial structure. Also, it is derived that establishing a differentiated strategy in attracting businesses is essential.

• Journal of Korea Game Society
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• v.11 no.4
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• pp.117-126
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• 2011

This study has an objective to analyze economic impact of building game industrial complex in Incheon. There are few studies about economic impact of game industry, despites of the high expectations for game industry development as important cultural content in the regional economy. Therefore, this study gives value as an intuitive analysis in terms of understanding the game industry. Regional input-output analysis was conducted based on construction sector, game related manufacturing and game related service sector in case of fulfilling establishment of game industrial complex in the Incheon Free Economic Zone. From results of this study, we find out the importance of game industry's effects on both regional and national level and it is expected a big impact on the future direction of related studies.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.151-159
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• 2023

In the digital age, innovation is at the heart of information technology development. This paper explores the differences of regional innovation capabilities from within the innovation system from a new perspective. By applying the coupling coordination degree model, the coupling coordination degree analysis is conducted for the three systems of innovation (innovation input, innovation output, and innovation environment) in 31 provinces, municipalities, and autonomous regions of China. The results show that: the overall level of coupling coordination degree in China is low, and the number of provinces in good coordination and quality coordination is low number, but they are all distributed in the eastern economically developed regions, showing a high correlation between regional innovation and regional economic development. The overall trend of China's innovation coordination is on the rise. The research results of this paper can provide a new perspective for the evaluation of innovation capability, and also provide an important impact of innovation on promoting the development of ICT industry.

• Journal of Korean Society of Rural Planning
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• v.16 no.4
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• pp.131-138
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• 2010

The purpose of this paper is to identify the determinants of spillover effects of regional regeneration projects. This finds that the effects are positively determined by population sizes of regions and degree of industrial specialization of regeneration related industries. In particular, the improvement of accessibility through the development of transportation infrastructure facilities can contribute to increases of economic impacts of regeneration projects of high-income regions on the lagged regions. Microeconomic approaches and dynamic modelling need to be integrated for this impact analysis as further research fields.

• Korean Journal of Agricultural Science
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• v.23 no.2
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• pp.272-284
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• 1996

The present study has quantitatively assessed the regional production, income and employment impact resulting from the construction and operation of nuclear power plant (NPP) upon the domestic local areas by applying the regional input-output analysis model to the case of Wolsong unit-l site. The conclusions regarding the most likely regional economic impacts upon the wolsong site are summarized as follows: 1. The income multipliers are calculated to be 1.563 for the construction phase and 1.500 for the operation phase. These values are relatively high compared with those of other conventional facilities. 2. The level of total employee's wage induced employment associated with the construction phase has been estimated to be 37,000 while that with the operational phase in 1990 to be 5,610. 3. With relation to the aspect of resident welfare it is found that the industrial sector associated with electricity, gas and water supply have remarkably improved with the construction of the NPP. 4. The NPP siting has induced substantial changes in interindustry (input-output) structures of the Wolsong unit-l site which is one of the rural areas where all the domestic NPPs are sited. Such changes are attributed to the industrial recomposition of the region. 5. With the application of other regional economic analysis models and the use of more sufficient regional data, other detailed studies on the economic impact analysis of domestic NPP-related facility sitings are suggested to be carried out further since the influence of NPP sitings is significant to the national economic impact as well as the regional economic impact.

• Journal of the Economic Geographical Society of Korea
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• v.12 no.2
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• pp.142-158
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• 2009

The purpose of this paper is to identify determinants of regional export in Korea using the interregional input-output table and SUR(Seemingly Unrelated Regression) model. Regional exports are classified into four groups; intraindustry intraregional export, interindustry intraregional export, intraindustry interregional export and interindustry interregional export. Labor productivity, scale economies, market size, and international trade volumes have positively influenced regional exports while the interregional distances having a negative effect on them. These results imply that it is necessary to operate regional strategies to enhance productivities and market size and to reduce transportation and distribution costs for revitalize a regional economy by increasing regional exports.

• Journal of Korea Planning Association
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• v.53 no.6
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• pp.117-130
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• 2018

Heavy snow is a natural disaster that causes serious economic damage. Since snowfall has been increasing recently, there is a need for measures against heavy snowfall. In order to make a policy decision on heavy snowfall, it is necessary to estimate the precise amount of damage by heavy snowfall. The direct damage of the heavy snow is severe, however the indirect damage caused by the road congestion and the urban dysfunction is also serious. Therefore, it is necessary to estimate indirect damage of snowfall. The purpose of this study is to estimate the effects on the regional economy from the limitation in traffic logistics caused by heavy snow using the transport demand model and inoperability input-output Model. The result shows that the amount of production loss caused by the heavy snow is KRW 2,460 billion per year and if the period of snowfall removal is shortened by one day or two days, it could be reduced to KRW 1,219 or 2,787 billion in production loss.