• Journal of Information Technology Applications and Management
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• v.21 no.4_spc
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• pp.381-401
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• 2014

This study proposes the accurate economic effect (employment inducement coefficient, hiring inducement coefficient, index of the sensitivity of dispersion, index of the power of dispersion, and ratio of value added) of Korea software industry by analyzing the inter-industry relation using the modified inter-industry table. Some previous studies related to the inter-industry analysis were reviewed and the key problems were identified. First, in the current inter-industry table publishedby the Bank of Korea, the output of software industry includes not only the output of pure software industry (package software and IT services) but also the output of non-software industry due to the misclassification of the industry. This causes the output to become bigger than the actual output of the software industry. Second, during rewriting the inter-industry table, the output is changing. The inter-industry table is the table in the form of rows and columns, which records the transactions of goods and services among industries which are required to continue the activities of each industry. Accordingly, if only an output of a specific industry is changed, the reliability of the table would be degraded because the table is prepared based on the relations with other industries. This possibly causes the economic effect coefficient to degrade reliability, over or under estimated. This study tries to correct these problems to get the more accurate economic effect of the software industry. First, to get the output of the pure software section only, the data from the Korea Electronics Association(KEA) was used in the inter-industry table. Second, to prevent the difference in the outputs during rewriting the inter-industry table, the difference between the output in the current inter-industry table and the output from KEA data was identified and then it was defined as the non-software section output for the analysis. The following results were obtained: The pure software section's economic effect coefficient was lower than the coefficient of non-software section. It comes from differenceof data to Bank of Korea and KEA. This study hasa signification from accurate economic effect of Korea software industry.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.6
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• pp.1361-1368
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• 2009

This study attempts to present investment priorities and select industry for regional economic reinvigorating by analysing regional inter-industry of Chungchong area(including Chungnam and Chungbuk region) After the regional inter-industry table of Chungchong area has been made using a location quotient(LQ) method based on national inter-industry table of 2006 derived from national inter-industry table of 2003 using RAS method, various kind of impacts to Chungchong area are analysed. Manufacturing has the highest result in the result of production-inducing effect and value-added-inducing effect and hotels and restaurants has the highest result in employ-inducing effect. Sensitivity coefficient is highly analysed in mining and quarrying and influential coefficient is highly analysed in manufacturing.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.4
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• pp.39-44
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• 2015

The VHTR (Very High Temperature gas-cooled nuclear Reactor) has been considered as a major heat source and the most safe generation IV type reactor for mass hydrogen production to prepare for the hydrogen economy era. The VHTR satisfies goals for the GIF (Generation IV International Forum) policy such as sustainablility, economics, reliability and proliferation resistance and physical protection, and safety. As a part of a VHTR economic analysis, we have studied the VHTR construction cost and operation and maintenance cost. However, it is somewhat difficult to expect the ripple effect on the whole industry due to the lack of information about Inter-industries relationship. In many case, the ripple effect are based on experts' knowledge or uncertain qualitative assumptions. As a result, we propose quantitative analysis techniques for ripple effects such as the production inducement effect, added value inducement effect, and employment inducement effect for VHTR 600MWt${\times}$4 modules construction and operation ripple effect based on NOAK (Nth Of A Kind). Because inducement effect values have been published annually, we predict inducement effect's relation function and estimated values including production inducement effect value, added value inducement effect value, and employment inducement effect value using time series and estimated values are verified with published inducement effects' value. This paper presents a new method for the ripple effect and preliminary ripple effect consequence using a time series analysis and inter-industry table. This ripple effect analysis techniques can be applied to effect expectation analysis as well as other type reactor's ripple effect analysis including VHTR for process heat.

• Journal of Technology Innovation
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• v.15 no.1
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• pp.145-173
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• 2007

Using patent and firm-level panel data for 1982-2001, this study investigates spillover effects of patents and the strengthening of intellectual property rights on Productivity and Innovation. As well as we consider the effect of intra-industry spillovers, we extend the effect to inter-industry spillovers which implies the effects of IT industries on non-IT industries. The empirical results are summarized as follows. First, allowing for firm-level variables, market competition and technological spillovers, the strengthening of intellectual property rights does not play a significant role on innovative activities. Second, while innovative activities of domestic firms affect significantly firms' innovative activities, those of foreign firms do not. Third, innovative activities of IT industries as inter-industry spillovers play a significant role on innovative activities and labor productivities of domestic firms.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.3
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• pp.831-839
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• 2008

The steel industry is becoming more important around the world and the demand of steel is increasing. Korea is the 5th country of steel producing in the world and the attention in the steel industry is growing. The steel industry is one of the key industry in leading the economic growth in Korea. This study attempts to analyze by time-series the economic impacts of the steel industry using an inter-industry analysis Specifically, the study investigates production-inducing effect, value added inducing effect and employ-inducing effect of the steel industry based on demand-driven model and the study deals with supply shortage effect and sectoral price effect of the steel industry by using supply-driven model and Leontief price model.

• Journal of Korean Society of Transportation
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• v.28 no.1
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• pp.107-114
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• 2010

This study aims to identify the impact of the logistics industry on the Korean national economy. To do this, we used a MRIO table provided by the Bank of Korea which includes inter and intra regional relationship of the production and consumption for 6 areas - the Seoul Metropolitan, Gangwon, Chungcheong, Jeonra, Gyeongbuk, Gyeongnam area, but an original MRIO table was recomposed of 29 sectors focused on logistics industry for the purpose of this study. we analyzed producing-inducing effects, supply-shortage effects and inter-industry linkage effects based on logistics industry by region and industry. As a result, the logistics industry has more supply-shortage effect rather than production-inducing effect and has a higher ripple effect on the automotive in Gyeongnam area and petrochemical industry in Jeonra area. In particular, the ripple effect of th Metropolitan logistic industry was far smaller than that of other areas, because the Seoul Metropolitan industry was identified as the primary and middle demand industry.

• The Journal of Fisheries Business Administration
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• v.39 no.3
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• pp.67-90
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• 2008

In this study, we aimed to build the basic calculation model for linkage effects of fishery industry among Korea, China and Japan. For the calculation, we reconstructed the asian international input-output table, and on the basis of the reconstructed table, we made some analyses on the inter-relations among 3 nations focusing fishery industry. As the results, some positive backward linkage offsets of the fishery industries were found among 3 nations, and especially, production inducing effect of Chinese fishery industry to Japanese supplier was remarkable.

• Journal of Labour Economics
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• v.33 no.2
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• pp.135-164
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• 2010

This paper compares the earnings effect of inter-industry technology differences between the self-employed and wage earners. It is assumed that primary skills utilized by the self-employed and paid workers differ in nature, and thus the earnings effect of technology differences and its skill-biasness also differ for each type of workers. For the empirical analysis. Heckman's two-stage method and quantile regressions are fitted to Korean panel data. The earnings effect of technology differences turns skill- biased for wage earners (job-specific skills), but prevails for all self-employed workers (entrepreneurial skills) regardless of their schooling level. This sectoral difference holds for each different quantile of earnings distribution.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.247-255
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• 2010

The media industry is becoming more important around the world and there are changes over this industry. Therefore this is the time that the economic impacts is needed about media industry. This study attempts to examine the economic impacts of the media industry using an inter-industry analysis. Specifically, the study investigates production-inducing effect, value added inducing effect and employ-inducing effect of the media industry based on demand-driven model and the study deals with supply shortage effect and sectoral price effect of the media industry by using supply-driven model and Leontief price model. The results of this analyses are presented; 0.5461 won in production-inducing effect, 0.3143 won in value added inducing effect when 1 won is produced by media industry, 5.0459 persons in employ-inducing effect when 1 billion won is produced, 1 won of supply shortage in this industry results 0.7353 won in supply shortage effect which affect the other industries. Sectoral price effect is 0.2389% due to the 10% increase of price.

• ETRI Journal
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• v.27 no.2
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• pp.206-218
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• 2005

We measure and compare externalities of IT and R&D capital stocks in different Korean industry sectors using inter-industry input-output tables of 1985, 1990, 1995 and 2000. We also compute the multiplier effects that relate to the directions of future economic effects. The key findings are as follows. First, we observed continuous capital deepening in all nine industries over the period of 1985 to 2000. Second, the backward multipliers of IT capital were the highest in the manufacturing industry. As for inter-industry externalities, the indirect backward multipliers, which exclude intra-industry backward multiplier effects within the industry, were also the highest in the manufacturing industry. Third, the forward multiplier effects of IT capital stock were the most substantial in the construction industry during the 1980s and in the manufacturing industry thereafter. Finally, using the transition multiplier matrix reflecting the backward effects of the two capitals in the past, the economic backward effects, especially the external economic effects, are predicted to increase through 2010 among all industries. The above findings suggest that, in order to maximize the forward and backward effects of the ever-increasing IT capital, we need to formulate an industry policy reducing the cost of capital accumulation in the manufacturing industry through improvement in productivity of the IT industry.