• 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.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.363-373
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• 2021

The purpose of this research is to analyze the Spill-over economic effect of the cultural and creative industries(CCI) in Henan Province, China. The research object is the CCI of Henan Province, which is mainly based on five sectors out of 42 industries in the industrial association table of the Statistical Bureau of Henan Province, China in 2017 (culture, sports; recreation and research sector; experimental development and integrated technical services sector; information transmission, computer services and software sector; education sector, etc), and is analyzed through secondary integration and redefinition of the CCI of Henan Province. Through the analysis of Henan Province Industry Association Table, this paper provides some enlightenment to the future direction of the cultural and creative industries. The main analysis results are as follows. The total production inducement of the CCI in Henan province is 48,848 billion yuan, and in particular, the production inducement coefficient of the industry in Henan province is 2.72809, 2.23909 (total of columns and rows), Index of the power of dispersion is 0.26325, and the index of the sensitivity of dispersion is 0.87535. Income induction coefficient is 0.55211, production tax induction coefficient is 0.09291. Because CCI of Henan Province has full development potential, the government needs to provide active support and policy support, in addition to the need for legal provisions and supervision of market management. In order to improve the innovative development of the CCI, it is necessary to develop a new model of "CCI+X".

• 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 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.

• 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.

• Journal of Korean Society of Forest Science
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• v.102 no.4
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• pp.506-514
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• 2013

This study examined the feasibility on the construction of a wood industrialization service center for a wood industry cluster establishment in Jeollanam-do. Construction of the wood industrialization service center is based on a discount rate of 3.5%, an investment period of 4 years, a business operations period of 16 years and an investment cost of 24600 million won; the total amount of the net present value, the cost-benefit ratio and the internal rate of return were assumed to be 2.579 million won, 2.51%, and 10.1%, respectively. In addition, the production inducement coefficient, the induced production effect, the income-induced coefficient, the income inducement effect, the employment inducement coefficient, and the employment inducement effect were estimated 1.4345, 35287 million won, 0.1655, 4000.7 million won, and 0.4665, 1,145 people, in the effects of the wood related industries using the multi-regional input-output model, respectively. Financial independence of operating income to cover its own costs incurred in accordance with the operating project might be practicable.

• 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.

• The Journal of the Korea Contents Association
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• v.8 no.12
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• pp.98-108
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• 2008

The recent growth of the national film and broadcasting industry and the international success of korean films and dramas have resulted in enlarging the financial investment of overall film and drama producing system. Many of local governments contend in the inducement of the drama and movie production because building a drama or movie set help to grow the local business. However, the effort of local governments has rarely achieved the long-term effect. The purpose of this paper is to examine the successful examples of the local specialization as drama or movie set, to compare them with other countries, and to analyze the systematic cause of their success. Moreover, this paper tries to suggest few principles to preplan the successful inducement, to increase the positive outcome, and to invigorate the local area.

• Journal of the Korean Society for Railway
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• v.19 no.6
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• pp.815-825
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• 2016

The inter-industrial inducement effects of the Korean railway services on the output, value-added, and imports of 383 industrial sectors of the Korean economy have been computed by the input-output analysis technique utilizing the '2013 Input-Output Statistics', which was published most recently in December 2015 by the Bank of Korea. The research results are, then, compared and contrasted with the former research results with the '2003 Input-0utput Statistics', which were published in the Journal of the Korean Society for Railway, August, 2008. The economic inducement effects computed in this study are as follows. The Korean railway service industry produced \5,841 billion worth of passenger and freight railroad services in the year 2013, and it induced \8,511 billion worth of output, \84 billion worth of value-added, and \1,050 billion worth of imports for Korean industry as a whole.; the production inducement multiplier, value-added multiplier, and imports inducement multiplier of 2013 results are shown to be quite different from 2003 multipliers.; it has been shown that it is necessary to utilize the most recent Input-Output Statistics for the computation of the most recent inter-industrial analysis.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.945-956
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• 2013

The character industry is a high value-added industry, and is one of the strategic industries to be fostered. However, the character industry is struggling due to the lack of national consensus on the importance and value of the character industry. Therefore, in order to resolve this issue, the study used the character Input-Output Table of year 2009 of korea to analyze how much the character industry(Toys and games, Models and decorations) contributes to the national economy by measuring economic spreading effects of character industry on national economy. The results shows that character industry shows that production inducement coefficient is column 1.602, row 1.007, index of the sensitivity of dispersion is 0.543, Index of the power of dispersion is 0.864, value-added coefficient is 0.620, income inducement coefficient is 0.334, tax inducement coefficient is 0.066, employment inducement coefficient is 0.008.