• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.155-166
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• 2021

This study examined the spillovers (economics) of domestic varieties. The analysis model used the supply-driven of inter-industry analysis (input-output analysis), and the scope of the study was limited to the varieties developed by rural development agencies. The spillovers were analyzed by dividing into the effects on production inducement and employment inducement. First, the effects on production inducement were the largest in Sindongjin, a rice variety, with 49,599.3 billion won. Seolhyang, a strawberry variety, was the second largest with 32,936.9 billion won. On the other hand, Baekma, a flower variety, was small at 87.7 billion won. On the other hand, this is a very large number considering the small area of cultivation of flowers and how most of the flower varieties depend on overseas varieties. Second, the effect on the employment inducement coefficient appeared in a similar order to the effect on production inducement. Sindongjin was the largest with 756,682, and Seolhyang was 701,403. Baekma was analyzed as 1,582 people. The results are of great significance in that it quantitatively analyzed the spillovers of the varieties developed by rural development agencies and ensured a justification for the development of varieties by national institutions through their value.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.61-68
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• 2015

This study aims to estimate the economic effects of the simulation golf industry. Two steps are taken. Step 1 is to calculate the direct effect which includes input required to install the facility and consumer's fee to pay for the simulation golf, and the indirect effect which includes the introduction of the field golf course derived from simulation golf. Step 2 is to calculate the production, value added and employment inducement effect. As a result of this calculation, total production inducement effect is 3.6 trillion won, value-added inducement effect is calculated at about 1.66 trillion won, while employment inducement effect is 34.6 thousand people in 2011. This study is expected to contribute to providing a basis for the policy to support the simulation industry and for estimation of the economic effect in the different simulation industry such as the simulation baseball.

• 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.

• 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.

• Journal of Korean Society of Forest Science
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• v.106 no.2
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• pp.219-229
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• 2017

Forest road is an essential infrastructure for forest management such as the composition and management of forest resources, timber and forest byproduct production & transportation. It has recently been utilized forest recreation and forest sports as well as also forest pest control, forest fire prevention and evolution. When you build a forest road, the economic function in the forest is activated, so that it can result in the ripple effect of induced employment, value-added creation and production inducement. The purpose of this study is to analyze the impact caused by forest road construction occurring as the overall economy. For analysis it was applied to inter industry analysis method that is a method for analyzing the quantitative cross-correlation. The data were used in the Input-Output Tables In 2014, the Bank of Korea. When you build a forest road, economic effect due to the construction of the forest road is generated and economic effects are also generated due to the increase in the production of forest products after the construction of the forest road. Therefore, we will analyze the economic impact of the two effects. The estimated economic value of forest products, which is the economic effect of forest product cultivation, was calculated through some assumptions and the economic ripple effect was analyzed. The forest road construction sector is defined as land clearing and reclamation, and irrigation project construction and the forestry forest products sector is defined as the sum of raw timber, edible forest products and misc. forest products. In total, 32 sectors were classified, and except for the two sectors defined as forest road construction and forestry forest products, the remaining sectors were integrated according to the classification system of 30 integrated classifications of the Bank of Korea. As a result, the production inducement coefficient for forest construction was analyzed to be 2.767 and the production inducement coefficient for forestry forest products was analyzed to be 1.565. This means that 2,767 times the production of forest road construction investment is induced in the whole industry and the production of 1.562 times the amount of forestry forest products is caused by the whole industry as the production of forestry forest products increases. The value added inducement coefficient for forest road construction was 0.977 and the value added inducement coefficient for forestry forest products was 0.985. Forest road are essential infrastructure for forestry development and should be continuously invested because they are essential elements of timber production and forest byproduct production with functions such as forest management, forest recreation, forest sports, and town connection.

• Journal of Distribution Research
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• v.16 no.5
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• pp.171-192
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• 2011

This paper focuses on the retail industry of industrial share of the GDP, productivity of distribution industry and input-out analysis between Korea and Japan, also results are summarized as follows. First, the share of GDP in agriculture, forestry and fisheries of the both countries is falling. That of manufacture increases in South Korea, while Japan is falling. While distribution industry shows vice versa. Employed population by industry is falling both countries also. The relative labor productivity shows that agriculture, forestry and fisheries, retail industry needs more labor, while manufacture has been met for both countries. Second, compare to Japan, the retail industry of Korea has been increased since 1990. Likewise, overall productivity of distribution industry in Korea has been increased while almost that of Japan has declined. Third, production inducement effects of Japan are greater than that of Korea. On the other hand, import inducement effects show vice versa. Fourth, as shown from the final demand of distribution industry and the rate of dependence on production inducement, we can see that the “increase in stocks” increases while gross government fixed capital formation shows vice versa. Korea's private consumption expenditure increases while Japan shows versa. South Korea's government consumption expenditure and exports are rising, on the other hand, that of Japan is declining. Fifth, the rate of dependence on distribution industry and import inducement shows the same tendency from both countries. As we can see from the private consumption expenditure, government consumption expenditure, gross government fixed capital formation, gross private fixed capital formation, increase in stocks, the rate of dependence on import inducement is more effective than the rate of dependence on production inducement. While the exports are comparatively ineffective. Sixth, the degrees of influence of retail industry are similar between Korea and Japan, while sensitivity of the Korean industry has been weakened. In this sense, strong policies are needed to boost the industry. Seventh, the investments in the retail industry of Korea showed the public-led trend, while Japan showed private sector-led investment trend. The investment trend of Korea's retail industry will be switched into private sector-led investment step by step in the future. This finding will be an important clue to set the policy direction of Korea distribution industry. Finally, both Korea and Japan are still in need of employment in retail industry. Not addressed in this paper, such as value-added-induced effects, employment inducement effect, will be remaining challenges in the following paper.

• Journal of Practical Agriculture & Fisheries Research
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• v.24 no.4
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• pp.45-52
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• 2022

This study suggest strategies to expand pork exports to Hong Kong through understanding characteristics of its pork market based on results from analysis on surveys on consumers and marketers. The survey results indicate that Hong Kong's consumers consider freshness and sanitation/safety of pork as the most important factors in their purchase. The consumers are found to be very satisfied with Korean pork and have intension to purchase it in the future. The importers suggest that Korean pork should improve its price competitiveness and build up its brand images. Based on results of surveys, this study suggests four strategies, which are systematic disease controls, establishment of its brand image, effective quality and sanitation/safety management and government supports. And, as results from deriving economic effects of 2021 Korean pork export to Hongkong, the production inducement effect is 42.5 billion won and the employment inducement effect is 266 persons.

• 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.

• 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 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.