• Journal of the Korean Geographical Society
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• v.28 no.4
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• pp.356-378
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• 1993

This study examines the competitiveness of urban industrial structure and its changing characteristics. Cluster analysis of Arizona towns based on economic functions revealed the changing characteristics of urban functions over time. The relationship between the changes of urban functions and industrial competitiveness was confirmed through shift-share analysis. The level of industrial specialization has become more closely related to urban size in terms of both population and employment, but the relationship between metropolitan location and specialization level is not clear. Also, it is validated that the economies of Arizona towns have become more diversified and, consequently, have tended to converge toward the state average in industrial structure over time.

• Journal of Korean Society of Transportation
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• v.26 no.4
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• pp.275-285
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• 2008

The "logistics industry" is recommended as an economic growth power in the future in Korea. In the past, Korea has handled China's freight volume overflow as a transfer hub. However, recently China has been constructing its own port facilities and many mega fleets have been moving to China's ports. As a result, the position of Korea's hub-ports facing a crisis. Now, new strategies are necessary for renovating Korea's logistics industry and international competitiveness. This study proposes a "value-added logistics cluster" as a new strategy. In particular, this study proposes a Korean value-added logistics cluster that maximizes Korea's locational and industrial advantages. Additionally, a model for a value-added logistics cluster is proposed for the rehabilitation of Korea's ports as logistics hubs in Northeast Asia. Many analyses are executed step-by-step to develop a Korean value-added logistics cluster model, such as an analysis of the relationship between the logistics industry and other industries for the definition of cluster components. Lastly, the Korean value-added logistics cluster model is applied to Kwangyang port, which is currently confronted with a crisis because of the decrease of freight volume.

• 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 Spatial Information System Society
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• v.9 no.1
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• pp.15-30
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• 2007

The purpose of this study is to explore essential factors of influencing user's usage intentions on telematics services and to find relationships among factors. This study derives several variables and hypotheses through literature reviews on the extended research model based on Davis's Technology Acceptance Model. With the objective of statistical verification, derived variables were sorted into meaningful categories through various statistical packages. These were included multiple regression analysis to improve the reliability of survey data. The demand analysis was conducted by targeting on users who have previously experienced telematics services. Indicated analyzed results which 'suitability', 'localization', and 'instant connectivity' variables were positively related to the user's usage intentions, especially accuracy of information variable. The factors of influencing the usage intention on telematics services can be useful empirical data in order to analyze the market trends and to suggest industrial or political guideline of telematics services.

• The Korean Journal of Applied Statistics
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• v.21 no.1
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• pp.125-140
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• 2008

The purpose of this study is to analysis the economic impacts of regional cultural festival via using the regional input-output model. In order to achieve this purpose, calculate output, value added and employment multiplier impacts of the Jeonju International Film Festival. The impacts of the JIFF on regional economic follow as ; Output is 112 hundred million won, value added is 53 hundred million won and employes is 254 labors. We need a new following strategies to obtain highly positive impacts from regional cultural festival. It needs to made networks among sight-seeing places, cultural remains, restaurants, hotels and entertainment institutions, in order to made visitors and customers expend much.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.1
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• pp.70-77
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• 2021

This paper was reclassified industries related to the 4th industrial revolution into manufacturing, information and communication services, finance and insurance services, and science and technology services by comparing the industry association table with the Korean standard industry classification. And the economic ripple effect was analyzed by exogenizing the four sectors of the industry using a demand-driven model. The wholesale and retail and product brokerage services were measured to be large in the manufacturing, information communication services, and science technology service sector according as a result of analysis of the production inducement effect, added value inducement effect, and employment inducement effect. And the financial and insurance services were analyzed to be large in the financial and insurance services sector. The import inducement effect was analyzed to be the largest in all sectors of the fourth industry. As a result of the forward and backward linkage effect, it was confirmed that the manufacturing and the information communication services sector were the intermediate primary production type sensitive to economic fluctuations. Also it was confirmed that the financial and insurance services and the science technology services sector were the final primary production type.

• Journal of the Korean Institute of Gas
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• v.20 no.4
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• pp.7-14
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• 2016

The economic crisis in North Korea has reduced its capacity to invest in the energy industries. The country is going through a vicious cycle of decreased investment in the energy industries and reduced energy production. This suggests that the energy industries would come to the top priority of investment once the economy improves. This paper calculated the economic ripple effect of the investment on North and South Korean economies based on the assumption that 390 billion won was invested in the construction of a natural gas combined-cycle power plant in Gaesong Industrial Complex. In order to analyze the economic ripple effect of the investment on North Korean economy, we constructed the inter-industry relation table of North Korea for year 2014 and used the input-output model. The ripple effect of the investment in the natural gas industry turned out to be 1.012 billion dollars. In order to analyze the effect of the investment on South Korean economy, we constructed the inter-industry relation table of South Korea for year 2013 and used the demand-driven model for inter-industry analysis. As a result, production, added-value and employment inducement coefficients of the investment in the natural gas industry were calculated as 2.02073, 0.62697 and 8.99409 respectively.

• 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.

• Environmental and Resource Economics Review
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• v.15 no.4
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• pp.643-672
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• 2006

This study has assessed the industrial human toxicity index by means of toxic substances emissions in South Korean industry. The data used in analysis are the 146 kinds of the toxic chemicals emissions and final demands, total outputs in the input-output table. As a results, human carcinogenic index was $11.86198{\times}10^3$ for overall industries, and $0.26360{\times}10^3$ for average. The industries of higher human toxicity index can be ranked as follows: Mother vehicles and parts (7.85033) > Pig iron and crude steel(4.57409) > Primary iron and steel products(4.36668) > Other transportation equipments and parts(3.43293) > Inorganic basic chemical products(2.64379), etc. Such result can be considered as the priority order of regulation based on industrial characteristics, when the demand and industrial policies should be carried out for the deduction fof toxic substances.

• Transactions of the Korean hydrogen and new energy society
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• v.34 no.5
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• pp.398-412
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• 2023

The Korean government is actively promoting the hydrogen industry as a key driver of economic growth. This commitment is evident in the 2019 hydrogen economy activation roadmap and the 2021 basic plan for hydrogen economy implementation. This study quantitatively analyzes the economic impact of the hydrogen economy using input-output analysis based on the Bank of Korea's 2019 input-output table, projecting its size by 2050. Four parts dealt with production-inducing, value-added creation, employment-inducing, and wage-inducing based on a demand-driven model. The results reveal that transportation had the most remarkable economic effect throughout the hydrogen economy, and production was the least. The hydrogen economy is projected to reach 71.2 trillion won by 2050.