• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.390-398
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• 2018

The purpose of this study is to analyze the relationship between local economy and local universities focusing on the job creation. The study estimates the impacts of industry-university cooperation expenditure in 2018 on the Korean industry using the 2014 input-output table released by the Bank of Korea in 2016. The results show that the effect of production inducement was 30.2 trillion Won which reached 1.5 times of the total industry-university cooperation expenditure 19.6 trillion Won. The effect of labor inducement was estimated to employ 35 thousand people. With respect to the effects of inter-industries, the professional, scientific and technical activities, information and communication, and education sectors showed much higher effect of both production and labor inducement in the Korean industry. Therefore, the industry-university cooperation expenditure in Korea has to be focused on those industries in order to increase job creation effects from industry-university cooperation.

• The Journal of the Korea Contents Association
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• v.12 no.9
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• pp.172-181
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• 2012

The film industry is a high value-added industry, boosts the self-esteem of the people as a measure of a country's culture industry, and is one of the strategic industries to be fostered. However, the film industry is struggling due to the lack of national consensus on the importance and value of the film industry. Therefore, in order to resolve this issue, the study used the film Input-Output Table of year 2009 of korea to analyze how much the film industry contributes to the national economy. The results shows that film industry induce 82,838.7 billion won of national production, especially the film industry(the sector of film product & distribution and film screenings) shows that production inducement coefficient is 2.324(2.240, 2.478), Index of the power of dispersion is 1.163(1.121, 1.240), index of the sensitivity of dispersion is 0.825(0.825, 0.501), value-added coefficient is 0.884(0.479, 0.547), income inducement coefficient is 0.454(0.211, 0.236), tax inducement coefficient is 0.110(0.090, 0.146) and employment inducement coefficient is 0.017(0.014, 0.022).

• Journal of Agricultural Extension & Community Development
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• v.23 no.3
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• pp.285-293
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• 2016

The increase in demand for leisure time by the public and the vitalization of agricultural tourism resulting from the expansion of the five-day work week are expected to greatly contribute to the rural economy, but actual studies analyzing the ripple effect of the agricultural tourism industry are lacking. In order to analyze the economic ripple effect, tourism or agricultural tourism must become an independent sector in the inter-industry relations table's sector classification, but because it is not, the study uses a method of analysis which involves creating a satellite account. However, because agricultural tourism has a clear main agent in farms unlike general tourism which does not, there is one method in which provisions are made by farms or farm villages and another method in which outside products are used. The purpose of the present is to measure the economic ripple effect of agricultural tourism with a focus on 162 subclasses by applying positive data from the education sector input into agricultural tourism. Satellite accounts which considered intermediate input were created and applied to positive data, the analysis of which revealed agricultural tourism to account for 462 billion won, which is 0.01% of the total production amount of 3,503,480 billion won, while the production inducement coefficient was 3.2895 units when the final demand of agricultural tourism occurs. When the production inducement coefficient is at 3.2895 units, highest sector was agricultural tourism at 0.9968 units followed by restaurants and bars at 0.3325 units, roadt transportation services at 0.3183 units, lodging services at 0.1520 units, and petroleum products at 0.1290 units.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.175-182
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• 2021

The purpose of this study is to establish the direction of industrial policy by comparing the employment inducement effect on the related industries of the digital bio-healthcare industry. The analysis data used the three-year input-output table measured by the Bank of Korea. First, the research method was rewritten into 7 major industries to compare statistical data by period. Second, the Bank of Korea's industry-related analysis methodology was utilized. Third, the weight was reflected and compared by employment, production, and investment sectors of the digital bio-healthcare industry. As a result of the analysis, first, the employment sector had a higher effect than the average of the entire industry, second, the production sector was low, and third, the investment sector required investment in the service sector. The conclusions drawn from the analysis showed that direct investment and continuous investment are required in the employment sector, the development of professional manpower is urgent, and direct investment and long-term investment are effective in the production sector.

• Journal of Korean Society of Forest Science
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• v.109 no.4
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• pp.521-531
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• 2020

In order to identify the economic impacts of forest-related industry on the national economy in general and the linkages between forestry and its related industries, an input-output analysis was conducted using the 2015 Input-Output Tables of the Bank of Korea. Production inducement effects are relatively high in paper products, lumber, and silviculture and relatively low in other wood industries. Value-added inducement effects are relatively high in silviculture and log production. With respect to the wood products industry, forward linkage effects are higher and backward linkage effects are lower. A Ritz-Spaulding multiplier analysis revealed that the growth of wood products production has only a modest impact on the growth of forestry. How to increase the linkage between forestry and the wood products industry is one of the most important policy tasks in Korea, given that it affects forest ecosystem management and climate change mitigation efforts.

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.390-399
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• 2013

The purpose of this study is to examine the impact of enterprise R&D investment on inter-industry technology spillover in Korea under the new Normal Era. In order to do this, we tested the effect of production inducement, backward and forward linkage effects, and the effect of technology spillover such as technology intensity effects and technology diffusion effects based on an input-output framework. The results show that the high index industries of the production inducement effect were professional, scientific and technical activities, manufacture of metal products, and general machinery. Some manufacturers of other non-metallic mineral products and transport equipment sectors appeared to have the strong effect of forward and backward linkages that were almost equivalent to high-tech manufacturing industries. In particular, the industries of professional, scientific and technical activities appeared to have the strong effect of both forward and backward linkages. Therefore, we need to drive a strong policy support to higher enterprise R&D investment in the those particular industries not only to increase global competitiveness, but also to widen up the technology spillover effect on other industries.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.7
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• pp.671-678
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• 2017

In this paper, we conducted an industry input-output analysis to examine the impact of the advertising industry on the movie industry. As a result, the production inducement effect increased from 1993 to 2008, and it decreased from 2009 to 2012. In 2014, the production inducement effect increased to 0.028 won. Value added effect is found that it fluctuated yearly. As a result of the sensitivity coefficient of the advertising industry, it decreased increasingly. In the case of the influence coefficient for backward linkage effect, it showed a decreasing tendency after 1998, but it increased from the beginning of 2009. This study examines the influence of the advertising industry on the input of the output by analyzing the impact of the advertising industry on the movie industry. As a follow-up study, it is necessary to compare the impact of the advertising industry on the movie industry and other industries such as publishing and broadcasting.

• 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.

• 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.

• The Journal of Fisheries Business Administration
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• v.43 no.3
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• pp.75-87
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• 2012

Today, the Korean fisheries is undergoing significant hardships, both domestically and internationally. While declining amount of catch, ascending international oil prices and others pose a compelling challenge to the fishing sector, the ever strengthening influence of international institutions related to fisheries and international trade organizations also compel to bring about myriad of changes in the realm of fishery products. Against the backdrop, this study attempted to examine the fisheries catch, aquaculture, service, processing fields in terms of its rippling effect and of how the industry has been changed by analyzing the past and present through an input-output analysis. As for research methods, 168 items of the input-output tables in 2000, 2005, 2009, and 2010 were integrated to form and classify 32 sectors (28 basic sectors + catch, aquaculture, fishery service, processed fishery products) so as to generate production inducement coefficient, sensitivity coefficient, and impact coefficient. The analysis results revealed that : though the linkage effect of fishery industry was not very sizable, the impact coefficient of the processed fishery products was high; the consumption and investment coefficient sector among production inducement coefficient was on an upturn trend ; the export coefficient was tended to decline. In the future research, it is necessary to carry out a study based on the integration of detailed classification (404 sector) and a study and analysis of fishery industry by different regions through the inter-regional input-output tables. The fishery industry is one of the crucial industries in Korea. The fishery industry is not only important in its own right but also significant as it exerts influence over other industries. Therefore, it is required that there should be more investment and supports for the development of the fishery industry, and pay efforts to ensure that the investment and development could lead to mutual growth for both the fishery and other various industries.