• International Commerce and Information Review
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• v.12 no.1
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• pp.225-250
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• 2010

The purpose of this study is to grasp the ripple effect of food industry, which is rising as the prominent industry of the future and has a high forward & backward ripple effect, on domestic economy and other industries through Industrial Input-Output Analysis and suggest the export connection method for the development of food industry in the future. As an analysis result, it was found that the effect on product inducement and employment inducement was very high. Like that, it is necessary to establish export connection strategy to escape from narrow domestic market and advance into world market in order to develop food industry, which has a high ripple effect on domestic market. For the export connection of food industry, it is possible to enlarge overseas market demand of domestic food industry by providing domestic food companies with export-concerned information such as overseas export market information and food market information, advertising world market for domestic food industry actively through the globalization of Korea food, securing food processing technology, removing export unavailability risk through the export insurance policy and advertizing the safety of food industry through the reinforcement of food safety control standard and penalty standard.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.11
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• pp.3506-3513
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• 2009

This study is to analyze the ripple effects of Jeju International Wind Ensemble Festival on Jeju regional economy and to explain the influence of the festival on Jeju regional society and culture. This study analyzed the economic ripple effects of the tourism industry with the Jeju inter-industry relation table. To explain the influence on Jeju regional society and culture, this study examined society-integrating part, policy-advertising part, culture-developing part, and industry-developing part.

• Land and Housing Review
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• v.11 no.4
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• pp.15-26
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• 2020

This study analyzes the Domestic Economic Ripple Effect (DERE) of the Donghae-Bukpuseon Railway (DBR). Input-Output Analysis and Scenario Analysis are employed. First, the future demand is approximately 6.86 billion people, 1.4 billion tons of logistics, and future forecast production is 1.2 trillion won for passengers, and 0.15 trillion won for logistics. Second, the production inducement (PI) coefficient of the railway industry is 2.080, the value-added inducement (VAI) coefficient is 0.680, the import inducement (II) coefficient is 0.32 and the employment inducement (EI) coefficient is 6.45. Third, for the DERE, PI is 2.846 trillion won, VAI is 0.939 trillion won, II is 0.446 trillion won, and EI is 8,737 people/1 billion won. Fourth, PI is approximately 2.8 trillion won, and the payback period is 35 years. Scenario 1 (a 50% increase in the demand for tourism) takes approximately 27 years, Scenario 2 (an 100% increase), 20 years, and Scenario3 (an 150% increase), 16 years. The successful way of the DBR is to enlarge the linkage effect of trans-railways for which international cooperation and agreements are needed. Also, even if the DBR is isolated due to worsening inter-Korea relations, the development of tourism resources is important for public investment feasibility.

• Journal of the Korean Solar Energy Society
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• v.32 no.5
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• pp.18-24
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• 2012

This study is to propose the quantitative methods instead of total results on New & Renewable energy R&D investments. To do that, this study used KETEP R&D investment profile, National R&D investment profile, and ISTANS industrial census results. From the analysis, this study firstly showed that the R&D investment on New&Renewable energy is higher than that of other industrial parts. And the investment increase ratio on New&Renewable energy is also very higher during past 10 years. And finally showed that the ripple effects(relatively the employee number, the amount of sales, and the amount of export) of the focus energy group including feul cell, photovoltaic, and wind power was higher than those of general manufacturing industry. This approach was firstly conducted using the poor census results, so other analysis methods will be developed and performed to exact;y show the investment ripple effect.

• Journal of Energy Engineering
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• v.25 no.3
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• pp.1-8
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• 2016

North Korea is currently undergoing an economic crisis of industrial productivity reduction, which resulted from decreased energy production and economic sanctions due to conflicts with the international society. This paper examined the technological status of North Korea's natural gas and coal industries which are essential sectors for recovery of the economy and North-South cooperation on energy industry. This paper also analyzed investment strategies in North Korean energy industries and calculated the size of economic ripple effect of the investment on North and South Korea. In order to analyze the effect of the investment on North Korean economy, we constructed an inter-industry relation table of North Korea for year 2014 and used an input-output model. The ripple effect of the investment in natural gas and coal industries turned out to be 1.012 billion dollars and 2.742 billion dollars respectively. In order to analyze the ripple effect of the investment on South Korean economy, we constructed an inter-industry relation table of South Korea for year 2013 and used a demand-driven model for inter-industry analysis. As a result, production, added-value and employment inducement coefficients of the investment were calculated as 2.02073, 0.62697 and 8.99409 for the natural gas industry and 2.02130, 0.62701 and 9.00413 for the coal industry respectively.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.3
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• pp.424-436
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• 2012

While local autonomy is settled, each local government plans and fulfills policy to foster local industry for local development so it is important to establish industry location and economic foundation which is fitting to local conditions. Local development requires the development of local industry and it is necessary that this industry fits to the local conditions in order to be focused and developed. The regional input-output tables contain very useful data to understand the structure of local industry and interregional industry and also the analysis of linkage by industrial ripple effect among regions is needed. The study divided the country into 7 units and conducted factor analysis by using sum data of inducement coefficients in 78 parts of 2005's regional input-output tables, and as conclusion extracted 8 factors.

• 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.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.8B
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• pp.1241-1250
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• 2010

With the expanding concept of Smart Grid, it is widely used by mixing with various industries, and therefore the potential and value of Smart Grid should be verified and evaluated. To this end, this study is conducted to look at industrial fields that can be expanded by mixing with Smart Grid, and based on it, draw an economic ripple effect of the Smart Grid industry. To grasp the spread direction of the Smart Grid industry, Our study focused on Smart Grid participants and new businesses that can be derived. Through this, energy, construction, home appliances, and automobile industries are selected as convergence businesses. Our study estimated an economic effect by drawing generation rates from input-output tables that applies the selected industry fields and Korean projections. According to the result, effect on total production inducement will be about 77 trillion won, effect on total value added inducement will be about 24 trillion won, and effect on total employment inducement will be about 31 trillion won. Through this, various functions of Smart Grid and the ripple effects on national economy could be expected.

• Health Policy and Management
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• v.30 no.4
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• pp.438-443
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• 2020

The digital treatment technology industry is one of the core fostering industries of the Moon Jae-in government along with the global trend. The purpose of this study is to compare and analyze the investment and economic ripple effect on the related industries. To this end, we used the industry-related table, which is the actual measurement data for 2015 that the Bank of Korea actually measured and released every 5 years in 2019. The digital treatment technology industry was not clearly classified within Korea's industrial classification system, so the contents of the industry-related survey were analyzed, and the digital treatment technology industry was reclassified and then analyzed. As a result of the analysis, it was analyzed that the production induction effect of the digital treatment technology-related industry in 2015 was 1.770, the value-added induction effect was 0.875, and the employment induction effect was 19.128, which was higher than that of other industries in Korea. As a result of the analysis of the economic ripple effect (scenario 1), the production inducing effect was about 370 billion won, the added value inducing effect was about 185 billion won, and the employment inducing effect was 4,044 people. The results of this study are expected to play a large role in economic revitalization as the effect of inducing production, increasing employment, and creating added value through fostering the digital treatment technology industry is expected to play a large role in activating the economy. It is expected to play a large role in providing central medical services. Therefore, it is expected that policy support for revitalizing the digital treatment technology industry through active investment support and tax benefits from the government to foster the digital treatment technology industry is necessary.

• Journal of Information Management
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• v.42 no.3
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• pp.55-69
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• 2011

In the modern scientific R&D, the efficient acquisition, curation, analysis and visualization are core elements of the science development. The value of scientific data is very important in data intensive research. An output of scientific data is drastically increasing. However we have only each individual system of scientific data in now. Therefore We feel a lack of efficiency of scientific data. In this paper, We analyze an economic ripple effects in terms of production inducement effect, added value inducement effect, labor inducement effect and forward backward linkage effect of national scientific data center construction using an input-out analysis of the bank of Korea(2009). We also examine an economic propriety of national scientific data center construction.