• 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.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.651-660
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• 2016

This study analyzed the contribution of the national economy, China's textile industry by 2010 I-O Table issued by the Chinese Bureau of Statistics 2013. The results shows that the production inducement coefficient of China's textile industry is the column total 3.6228 and in line total 3.5452, is a key industry that leads the industry in China. Second, the index of the power of dispersion of the Chinese textile industry is 1.1982, index of the sensitivity of dispersion is 1.1725. Third, income inducement coefficient of China's textile industry 0.5228, tax inducement coefficient 0.1522, a value-added inducement coefficient 1. Especially China's textile industry induce 2993.6 trillion yuan(textile industry of 8.6 trillion yuan, up 3.0%) in the national production, value-added inducement 97.1 trillion yuan (textile industry 1.7 trillion yuan, up 2.0%), income inducement 42.8 trillion yuan (textile industry 0.9 one trillion yuan, 2.0%), also tax inducement 15.4 trillion yuan (textile industry 0.3 one trillion yuan, 2.0%).

• Journal of Energy Engineering
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• v.24 no.3
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• pp.164-172
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• 2015

As the petroleum products produced from the Oil refinery industry (ORI), a national key industry in Korea, are supplied to other industries as an intermediate goods, the supply shortage of ORI has a large impact on the national economy. This paper attempts to analyze the supply shortage effects which are defined as the negative impact of one won of supply failure in the ORI on the production of other industries. To this end, an inter-industry analysis using an input-output (I-O) table describing inter-industry flow of intermediate goods is applied. More concretely, the supply-driven model is employed over the period 1990-2012. In addition, the results are compared with those for shipbuilding, semiconductor, and steel industries. The results show that the supply shortage effects are computed to be 0.9205 won when using 2012 I-O table. More specifically, the supply shortage effects on chemical products and transportation industries are computed to be 0.2113 and 0.1140, which are relatively large, The supply shortage effect of ORI is smaller than that of steel industry (1.4131 won), but larger than that of shipbuilding industry (0.0586 won) and that of semiconductor industry (0.1111 won).

• 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).

• The Journal of Information Systems
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• v.20 no.3
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• pp.187-207
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• 2011

As the IT labor captures an increasing proportion of the total labor, it is important to analyze the contribution of IT labor to national economy. Although there has been abundant research about the effect of IT investments, it is difficult to find a research about IT labor's economic contribution. Most prior studies on the effect of IT investment have focused on the effect of IT capital investment. This paper empirically explores whether and how IT labor makes contribution to Korean economy. And also this paper examines the economic contribution of IT experts and semi-experts in Korean industries over the 2000 to 2007 period, using production function framework and panel data set for 24 industries constructed from 'Input-Output table' and 'Research on Wage Structure Survey'. Based on the full sample of 120 observations, this study finds that a 1% increase in IT labor wage is associated with 0.042190% increase in added value. In the case of non-manufacturing industries on the sample of 50 observations, this study finds that a 1% increase in IT labor wage is associated with 0.074908% increase in added value. And in the case of IT experts (separated from IT semi-experts), this study finds that a 1% increase in IT expert's labor wage is associated with 0.013957% increase in added value of all industry. This study provides implication for policy makers and managers. The results suggests that non-manufacturing industries can capture further benefits by increasing investment in IT labor. Building on this study, future research should examine the impact of IT labor at a more detailed industry level and the firm level.

• Journal of Digital Convergence
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• v.9 no.6
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• pp.137-151
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• 2011

This dissertation aims to empirically analyze the effect of cultivation of software industry on the local economy through Inter-regional Software Input-Output Analysis. The temporal range of analysis of effect of software industry on the local economy shall be for the year 2005 since analysis is made on the basis of the Regional Industrial Input-Output Table published by the Bank of Korea in 2005, and spatial domain shall be limited to the 16 metropolitan cities and provinces, which are the standards for each administrative zone. Results of analysis of this dissertation are as follows. Firstly, average inverse matrix coefficient of software industry for each region was computed to be 1.6248, which is lower than the average inverse matrix coefficient of 1.7979 for the entire industries. Secondly, among these, inverse matrix coefficient of software industry for each region on other industry within the same region was 0.1794, which is higher than that of entire industries at 0.1382. However, average inverse matrix coefficients of software industry for each region on self-industry within the same region and entire industries in other regions were found to be 1.0119 and 0.4335, respectively, which is lower than those of entire industries at 1.0982 and 0.5616, respectively. Thirdly, domestic produces induced by final demand items of software industry for each region was the highest for Seoul with 17.3309 trillion Korean won, accounting for 81.0% of the total, followed by Gyeonggi with 2.3370 trillion Korean won, 10.9% of the total. Fourthly, distribution ratios of domestic produces induced by final demand items of software industry for each region were found to be 19.1%, 72.1% and 8.8% with respect to the weight of consumption, investment and export, respectively, thereby illustrating very high level of distribution ratios of domestic produces being induced by investment in comparison to the distribution ratios of domestic produces being induced for the entire industries at 47.3%, 19.8% and 32.9%, respectively.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.77-77
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• 2020

2019년 12월 발병한 코로나19(COVID-19)는 높은 전파력을 바탕으로 세계적으로 대유행하면서 사람들의 생명, 건강을 비롯하여 생산·소비활동까지 위협하고 있다. 코로나19는 치료제 개발 전까지 실물경제에 직접적으로 타격을 주면서 국내외 경제 전반에 악영향을 지속적으로 미칠 것으로 예상된다. 특히 외부활동 및 소비심리 위축으로 숙박, 음식, 관광, 문화, 여행 등의 대면서비스 업종의 심각한 매출 감소 및 고용악화가 발생하고 있으며, 이 외 대부분의 산업에서도 생산과 소비활동이 위축되고 있다. 이러한 소비·생산활동의 위축은 각 산업에 필요한 중간재 수요, 특히 필수재인 물이용에도 영향을 미치게 된다. 이에 본 연구에서는 코로나19 확산으로 소비가 감소할 경우 전산업과 물산업에 미치는 경제적 손실을 1년간의 모든 실물거래 관계를 행렬로 기록한 통계표인 산업연관표(input-output table)을 활용하여 분석해보았다. 이를 위해 전월대비 3월 소비자심리지수 하락 폭을 참고하여 소비 감소에 따른 시나리오 분석을 산업연관분석을 통해 실시하다. 분석결과, 5개월 동안 소비가 20% 감소하는 경우 전산업과 물산업에서 각각 48.3조원과 886억원의 생산감소가 발생하며, 부가가치는 각각 21.7조원과 451억원이 감소하는 것으로 분석되었다.

• Journal of Korean Society of Water and Wastewater
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• v.29 no.2
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• pp.171-182
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• 2015

The economic effects of sewage and wastewater treatment service (SWTS) sector on other sectors have been rarely investigated in the literature. This paper attempts to apply an inter-industry analysis to looking into the economic effects of the SWTS sector. To this end, the most recently published 2012 input-output table is used here. In particular, the SWTS sector is specified as exogeneous to identify the economic effects of the SWTS sector on other sectors. Production-inducing effect, value-added creation effect, and employment-inducing effect are quantified based on demand-driven model. Supply shortage effect and price pervasive effect are also analyzed employing supply-driven model and Leontief price model, respectively. The results show that production-inducing effect and value-added creation effect of a unit of investment or production in SWTS sector are estimated to be 1.7076 and 0.7392, respectively. The employment-inducing effect of one billion of investment or production in the SWTS sector is computed to be 11.0498 persons. The shortage effect of the SWTS sector amounts to 0.8417 won. The overall price effect of the 10% increase in the price of SWTS sector is calculated to be 0.0115%. This quantitative information can be utilized in predicting the economic effects of the SWTS sector-related activities or policy-making.

• Journal of Energy Engineering
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• v.22 no.2
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• pp.184-196
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• 2013

We need to develop new renewable energy that could fundamentally replace fossil fuel, since the volume of economy and industry of our time becomes uncontrollably enormous. One of the alternative is to develop energy based on marine biomass, which would meet environment and energy needs at the same time. The marine bio-energy productions is supposed to occupy 50% to 500 million TOE in bio-energy production that is based on the Korean 3rd new renewable energy technology development, utilization, supply plan until 2030. This study attempts to apply input-output analysis to investigating the economic impacts of marine bio-energy development project in the Korean national economy. More specifically, this study shows what national economy effect of production-inducing effect, value-added inducing effect, employment-inducing effect, and R&D-inducing effect are explored with demand-driven model. Furthermore, this study attempts to define and classify the marine bio-energy development project sector from I-O table. Also, this study pays particular attention to marine bio-energy development project by taking the industry as exogenous specification and then investigating its economic impacts. The Marine bio-energy development project case 223 billion won, production-inducing effect, value-added inducing effect, and employment-inducing effect are 312 billion won, 87 billion won, 1,151 persons, and 5 billion won respectively. These quantitative information can be usefully utilized in the policy-making for the industrialization of marine bio-energy development project.

• Journal of Energy Engineering
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• v.25 no.3
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• pp.95-103
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• 2016

The government is trying to expanding the manufacture and utilization of solid refuse fuel (SRF) facilities in order to mitigate greenhouse gases reducing and eco-friendly waste-to-energy recovery. In this regard, this study attempts to look into the economic effects of expanding the manufacture and utilization of SRF facilities by applying an inter-industry analysis using a 2014 input-output table. Specifically, by applying the demand-driven model presents the results for the production-inducing effect, value-added creation effect, and employment-inducing effect. In particular, this study attempted to redefine for the SRF. In addition, it was accessed by exogenous around the manufacture and utilization of SRF sector. The results show that production-inducing effect and value-added creation effect of expanding the manufacture and utilization of SRF facilities for the investment of 1.0 won are estimated to be 1.9993 and 0.6747, respectively. The employment-inducing effect of one billion of investment in the expanding the manufacture and utilization of SRF facilities is computed to be 11.1982 persons. This information can be utilized in predicting the economic effects of the manufacture and utilization of SRF.