• Journal of Digital Convergence
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• v.13 no.1
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• pp.191-203
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• 2015

IT is based industry on finance and insurance services and is essential equipment of survival for competitive on market. The importance of IT industry on finance and insurance is bigger than other industries. So, This study examinate effects of hardware and software divided by IT industry on each 6 finance and insurances. Research models are production inducing effects of Demand-Driven model, Shortage effects of Supply-Driven model finally, Leontief's price model by using data for analysis is Input-Output table for 2000~2009. Results are that IT Service effects are more impact than IT hardware effects on Finance and Insurance Service. Especially, IT service's supply shortage effects is 0.0847KWR to produce 1KRW of finance and insurance service for 2-fold increase compared to 2000. In addition, Central Bank and banking institutions of finance and insurance services are the greatest impact from IT industry. These are which is increasing to interdependence between IT industry and finance and insurance service.

• Journal of Korea Port Economic Association
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• v.25 no.3
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• pp.303-320
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• 2009

Korea has achieved a remarkable growth by pursuing externally-oriented growth policy since 1960s. That is, we imported raw materials and spare parts, manufactured them into products and exported them, which led to successful economic development. Therefore, our marine business has played an important roles as one of key industries. The development of marine business has contributed to efficient distribution and cost reduction in addition to production of added value and creation of employment creation, which improved external competitive power. In spite of economic importance of marine business, national perception on it is in general low and its developmental conditions are considerably poor. Therefore, this study aims to speculate the effect of Port-related business on regional economy using regional input-output tables.

• Journal of Advanced Navigation Technology
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• v.22 no.2
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• pp.148-153
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• 2018

This paper proposes a single-input multiple-output (SIMO) self-resonant wireless power transmission system for transmitting power to multiple receivers and the characteristics are simulated and measured. A 600 mm diameter transmission single loop, a 600 mm diameter helical transmission resonant coil, an external diameter 900 mm planar spiral reception resonant coil, and an $80{\times}60mm^2$ flat plate square coil as a receiver are used to form a wireless power transmission system 600 mm away with the table structure. For optimal characteristics, the wireless power transmission coils are designed by EM simulation and equivalent circuit analysis, and the characteristics are simulated and measured. The variation of the efficiency with distance from the center of the spiral resonant coil is analyzed and the measured efficiency is 57% for one receiver and for the two receivers, the efficiency is 37% for each receiver.

• Journal of Korea Trade
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• v.25 no.3
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• pp.48-64
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• 2021

Purpose - This study examined the effect of tariff cuts on productivity in Korea's manufacturing industries and the effect of initial productivity level before tariff cuts on productivity improvement after tariff cuts. We also attempted to identify whether import-driven or export-driven factors are more important for productivity improvement, especially in low productivity industries. Design/methodology - Since tariff reduction is a policy decision that can affect cross-industry, its impact is spread across all industries beyond the scope of a single firm through the input and output network of industry structure. Accordingly, we proposed a new method to measure the change in productivity to reflect the impact of tariff cuts across industries. Through an Armington CGE analysis, changes in endogenous variables can be directly measured after the exogenous shock of tariff reduction, and the amount of movements in productivity triggered by tariff cuts can also be calculated. We can thus assess the effectiveness of exogenous policy, such as tariff cuts, through the difference between the benchmark and counterfactual values of endogenous variables. Findings - This study confirmed that tariff reduction positively affected productivity improvement in Korea's manufacturing industries. It also confirmed that productivity gains occur in Korea's leading export industries. Finally, greater productivity gains were recorded in the group with additional high-export-share or high-import-share conditions for low productivity industries. These results are, in a limited sense, consistent with the existing studies that emphasize the importance of exports and imports on productivity improvement, especially for low productivity industries. Originality/value - The results of our experiments are different from those of non-CGE studies, which measure the industry-level change in productivity with dummy coefficients, in terms of directly calculating the amount of change in productivity. In addition, we propose that the Armington CGE model is more appropriate than the Melitz CGE model to directly measure the productivity after tariff cuts. This is because the Melitz CGE model assumes the given specific productivity density, which does not change after an overall drop of tariffs. To the best of our knowledge, this approach to directly calculating productivity by reflecting the impact of tariff reduction across industries through CGE analysis, is unprecedented in this literature.

• Journal of Korea Trade
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• v.25 no.2
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• pp.58-74
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• 2021

Purpose - This paper research on the embodied carbon emission in Sino-Korea trade. It calculates and analyzes the carbon emission coefficient and specific carbon emissions in Sino-Korea trade from 2005 to 2014. Design/methodology - This paper conducted an empirical analysis for embodied carbon emission in Sino-Korea trade during the years 2005-2014, using a multi-region input-output model. First, direct and complete CO2 emission coefficient of the two countries were calculated and compared. On this basis, combined with the world input-output table, the annual import and export volume and sector volume of embodied carbon emission are determined. Then through the comparative analysis of the empirical results, the reasons for the carbon imbalance in Sino-Korea trade are clarified, and the corresponding suggestions are put forward according to the environmental protection policies being implemented by the two countries. Findings - The results show that South Korea is in the state of net trade export and net embodied carbon import. The carbon emission coefficient of most sectors in South Korea is lower than that of China. However, the reduction of carbon emission coefficient in China is significantly faster than that in South Korea in this decade. The change of Korea's complete CO2 emission coefficient shows that policy factors have a great impact on environmental protection. The proportion of intra industry trade between China and South Korea is relatively large and concentrated in mechanical and electrical products, chemical products, etc. These sectors generally have large carbon emissions, which need to be noticed by both countries. Originality/value - To the best knowledge of the authors, this study is the first attempt to research the embodied carbon emission of ten consecutive years in Sino-Korea Trade. In addition, In this paper, some mathematical methods are used to overcome the error problem caused by different statistical caliber in different databases. Finally, the accurate measurement of carbon level in bilateral trade will provide some reference for trade development and environmental protection.

• Environmental and Resource Economics Review
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• v.33 no.3
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• pp.291-314
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• 2024

The International Maritime Organization (IMO) has strengthened environmental regulations, leading to an increase in demand for LNG-powered ships. To enhance the competitiveness of ports and promote the use of LNG-powered ships, establishing LNG bunkering infrastructure is necessary. However, no ports in Korea currently have such infrastructure. This study used the 2015 regional input-output table to examine the economic impact of establishing LNG bunkering infrastructure in Busan Port, the largest port in Korea. The estimated cost of the project in 2023 was KRW 21.09 billion. The average production, value-added, and employment inducement coefficients were 1.223, 0.372, and 7.58, respectively.

• Journal of Agricultural Extension & Community Development
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• v.17 no.1
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• pp.25-43
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• 2010

The objectives of this study are to estimate the number of employed persons related to agriculture in agribusiness, to determine any factors affecting changes in employed persons, based on the Input-Output Tables in 1995, 2000, and 2005. The number of employed persons related to Crops in the input industry of agriculture was 184,076 in 1995, 186,616 in 2000, and 193,394 in 2005. The sectors with higher number of employed persons were in; Agriculture, forestry and fishing related services, Wholesale and retail trade, Fertilizers and agricultural chemicals, and Forest products, etc. The number of employed persons related to Animals in the input industry of agriculture was 46,6166 in 1995, 28,886 in 2000, and 35,714 in 2005. The sectors with higher number of employed persons were in; Wholesale and retail trade, Prepared livestock feeds, Agriculture, forestry and fishing related services, and Forest products, etc. The number of employed persons related to Crops in post-farm gate industries was 184,076 in 1995, 186,616 in 2000, and 193,394 in 2005. The sectors with higher number of employed persons were in; Accommodation and food services, Other food products, Wholesale and retail trade, and Polished grains, flour and milled cereals, etc. The number of employed persons related to Animals in the post-farm gate industries was 184,076 in 1995, 186,616 in 2000, and 193,394 in 2005. The sectors with higher number of employed persons were in; Meat and dairy products, Wholesale and retail trade, Accommodation and food services, and Land transport, etc. In 2005, the number of employed persons related to agriculture in agribusiness per 1,000 employed persons in agriculture was 211, in the input industries in agriculture it was 53, and in the post-farm gate industries it was 158.gribusiness.

• Korean Journal of Construction Engineering and Management
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• v.7 no.2 s.30
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• pp.53-61
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• 2006

Korean Government started to publish Korean CCI(Construction Cost Index) again at February 2004 since CAK(Construction Association of Korea) stopped publishing it 1994. CCI is developed using the verified statistical data, that is, input-output table and producer price index by Korean Bank and labor unit cost by CAK. Though the method is available as it uses the verified statistical data, there is a limitation to reflect the characteristics of construction. For overcoming this limitation, this study suggests CCI development method investigating the input structure of labor and material cost for each type of construction project and applying the cost variations of the items.

• Journal of Distribution Science
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• v.13 no.12
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• pp.85-94
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• 2015

Purpose - The purpose of this paper is to provide a political registration point for analyzing the economic impacts on the national economy from the REITs distribution industry in our country. The REITs distribution industry was introduced in 2001 to accelerate the corporate restructuring process and advance the real estate market. During its establishment, the REITs distribution industry faced difficulties; however, the industry grew rapidly through interest from institutional investors, thus mitigating the establishment problems by 2006. In Korea, more than 108 REITs were operating as of the end of June 2015. REITs contribute significantly to the national economy. The economic impacts on the national economy of the REITs distribution industry was analyzed using input-output (I-O) analysis with respect to production, imports, value-added, and employment. Research design, data, and methodology - The research used an I-O analysis of the activities of the REITs distribution industry in the national economy. The I-O analysis methodology analyzes the economic effects that influence other industries with respect to one unit of external investment. The data for this analysis were the I-O table of 2013 as published by the Bank of Korea in 2014. Results - The findings of this study are as follows. First, if an external input to the REITs distribution industry is 1 won, the overall impact of the product is 1.3869 won, the import induction is 0.0002 won, and the value-added induction is 0.7656 won. A new investment of 659.9 billion won into the REITs industry was estimated to produce a gross effect of 915.2 billion won. Second, if an external input to the REITs distribution industry is 1 billion won, the employment-inducing effects are estimated at 19.6394 individuals. The employment-inducing coefficient of 19.6394 for the REITs distribution industry indicates that the industry created significant employment-more than other industries-because the coefficient was 2.2 times the 2013 industry average employment-inducing coefficient of 8.8. Third, the investment effects of the REITs distribution industry on production induction, value-added induction, and employment induction are assumed to be large in business support services, financing, communications and broadcasting, and professional, scientific, and technical services. Conclusions - The REITs distribution industry was analyzed as having a strong employment inducing, high value added effect. The REITs distribution industry is an excellent alternative for the government authority to create multilateral jobs. Because the REITs distribution industry has a significant positive impact on the national economy, it should be developed. However, the I-O methodology has restrictions with respect to the fixation and timing of the input coefficient. Follow-up research is expected to supplement the analysis method at a specific point in time.

• Proceedings of the Technology Innovation Conference
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• 1996.12a
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• pp.265-295
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• 1996

This paper investigates empirically the relationship between various business portfolio properties (particularly technological properties) and chaebol′s performance using data on the 50 largest chaebols in Korea. In addition to the traditional indexes to measure diversification such as entropy index we calculated inter-industry technological similarity using R&D expenditure data by industry and 1990 Input-output Table in Korea, and obtained chaebol-level technological relatedness and internal transaction proportion from chaebols′business profile, inter-industry technological similarity and 1990 input-output table. We applied factor analysis on 13 business portfolio property indexes and showed that they could be grouped into 3 dimensions, diversification scope, inter-business relatedness and degree of vertical integration. In this paper, using 50 largest chaebols′financial data (1989-1994), we analyzed empirically the effect of business portfolio properties on ROS (Return On Sales) which is conventional index for firm performance and on TFP(Total Factor Productivity) growth which is a pure measure of firm performance. To utilize the advantage of panel data, FEM(Fixed Effect Model) and REM(Random Effect Model) were used. The empirical result shows that the entropy index as a measurement of inter-business relatedness is not significant but technological relatedness index is significant. OLS estimates on pooled data were considerably different from FEM or REM estimates on panel data. By introducing interaction effect among the three variables for business portfolio properties, we obtained three findings. First, only VI (Vertical integration) has a significant positive correlation with ROS. Second, when using TFP growth as an dependent variable, both TR(Technological Relatedness) and f[ are significant and positively related to the deepened variable. Third, the interaction term between TR and VI is significant and negatively affects TFP growth, meaning that TR and VI are substitutes. These results suggest strategic directions on restructuring business portfolio. As VI is increased, chaebols will get more profit. A higher level of either TR or W will increase TFP growth rate. but increase in both TR and VI will have a negative effect on TFP growth. To summarize, certain business portfolio properties such as VI and TR can be considered "resources" themselves since they can affect profit rate and productivity growth. VI and TR have a synergy effect of change in profit rate and productivity growth. VI increases ROS and productivity growth, while TR increases productivity growth representing a technological synergy effect.