• Environmental Engineering Research
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• v.16 no.1
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• pp.19-27
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• 2011

This paper introduces an approach to identify the total energy consumption with subsequent $CO_2$ emissions, for both industrial and non-industrial sectors. Statistical data for 2005 were compiled in a national account system to construct an energy input-output table for investigating the influence between energy demand and supply activities. The methodological approach was applied to South Korea. Twelve types of energy and fifteen industrial and non-industrial sectors are formed as the compartments of the input-output table. The results provided quantitative details of the energy consumption and identified the significant contributions from each sector. An impact analysis on the $CO_2$ emissions for the demand side was also conducted for comparison with the supply side.

• Journal of Korea Water Resources Association
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• v.33 no.5
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• pp.647-658
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• 2000

The purpose of this study is to estimate the forward impact of water supply bottleneck using a supply-side input-output model. The failure cost analysed in this study can be used to estimate the values of the water supply reliability and can provide the bases of policy decision for the effective reallocation when water supply constraint will occur. So the position of water supply in the national economy is identified, and direct and indirect impacts are estimated by means of the interindustry analysis. Also the failure cost index is suggested to determine the prior order of water supply important in drought. By the way, the occurrence of drought having regional properties, the failure cost of the regional level using a national input-output table may be overestimated or underestimated. For the preceding reason, the failure cost estimated by a national input-output table is compared with and analysed to a regional input-output table for Kyung- Nam.g- Nam.

• Journal of Environmental Impact Assessment
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• v.26 no.3
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• pp.195-206
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• 2017

Recently, Discussion about BIM based LID (Low Impact Development) facilities management system is activated because interest of LID technique for urban water cycle restoration is increasing. For this reason, this paper developed the auto-checking module of the BIM (Building Information Model) based supply output table. This module will be the foundation of the BIM based LID facilities total management system. The research order is composed like next follows: (1) Select target area, (2) Make BIM model of LID facilities and extract supply output table, (3) Develop comparison module, (4) Analysis results. As a result, the authors made 27 LID facilities and developed the supply output table comparison automation module. So, the authors could find differences of 2D design documents based supply output table and BIm based supply output table. So, the authors made an improvement suggestion of the design plan and could construct foundation of the BIM based LID facilities total management system.

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.3
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• pp.115-125
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• 2014

This paper has two purposes. The first is to suggest the new and simple method to derive a regional input-output model from the national input-output table published by the Bank of Korea. The interregional input-output table has not been devised in spite of its potential use while the national table has been made every five years with the revised version during each five years. Second, this paper aims to derive Kangwon interregional input-output model from the national model using the regional supply proportion of industry and to analyze the effect of medical tourism industry on the regional economy of Kangwon Province. The paper measures, in particular, the effect of medical tourism industry on the financial self-sufficiency of Kangwon Province using the estimated output elasticity of tax revenue with the autoregressive distributed lag scheme ADL(1,1) in which the dependent variable and the single explanatory variable are each lagged once.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.411-417
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• 2009

This paper describes the development of integrated simulator for traction power supply system with GUI (Graphic User Interface). This simulator consists of a lot of calculation modules such as TPS, time table, line constant, and power supply system analysis. Each module has input and output structure respectively. The proposed simulator is tested on both high speed railway line and metropolitan subway line. The test has confirmed the function of the developed simulator.

• Journal of Information Technology Applications and Management
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• v.22 no.2
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• pp.201-217
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• 2015

In this paper, we report computational testing result to examine the validity of firm's bankruptcy risk estimation through quantification of supply chain risk. Supply chain risk in this study refers to upstream supply risk and downstream demand risk, To assess the firm's risk affected by supply chain risk, we adopt unit of analysis as industry level. since supply and demand relationships of the firm could be generalized by the industry input-output table and the availability of various valid economic indicators which are chronologically calculated. The research model to estimate firm's risk level is the linear regression model to assess the industry bankruptcy risk estimation of the focal firm's industry with the independent variables which could quantitatively reflect demand and supply risk of the industry. The publicly announced macro economic indicators are selected as the candidate independent variables and validated through empirical testing. To validate our approach, in this paper, we confined our research scope to steel industry sector and its related industry sectors, and implemented the research model. The empirical testing results provide useful insights to further refine the research model as the valid forecasting mechanism to capture firm's future risk estimation more accurately by adopting supply chain industry risk aspect, in conjunction with firm's financial and other managerial factors.

• Journal of the Korea Convergence Society
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• v.7 no.4
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• pp.191-198
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• 2016

As the electricity produced from the electricity industry, a national key industry in Korea, are supplied to other industries as an intermediate goods, the supply shortage of electricity industry 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 electricity on the production of other industries. To this end, an input-output analysis using an input-output (I-O) table describing inter-industry flow of intermediate goods is applied. More concretely, the supply-driven model is applied subject to the OECD countries. The value of the supply effects interfere with Denmark's best large 1.682 was followed by South Korea, Japan, Australia, the UK.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.221-234
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• 2013

In this paper, we report bankruptcy risk level forecasting result for automobile parts manufacturing industry. With the premise that upstream supply risk and downstream demand risk could impact on automobile parts industry bankruptcy level in advance, we draw upon industry input-output table to use the economic indicators which could reflect the extent of supply and demand risk of the automobile parts industry. To verify the validity of each economic indicator, we applied simple linear regression for each indicators by varying the time lag from one month (t-1) to 12 months (t-12). Finally, with the valid indicators obtained through the simple regressions, the composition of valid economic indicators are derived using stepwise linear regression. Using the monthly automobile parts industry bankruptcy frequency data accumulated during the 5 years, R-square values of the stepwise linear regression results are 68.7%, 91.5%, 85.3% for the 3, 6, 9 months time lag cases each respectively. The computational testing results verifies the effectiveness of our approach in forecasting bankruptcy risk forecasting of the automobile parts industry.

• Korean Management Science Review
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• v.33 no.3
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• pp.105-117
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• 2016

In this paper, we present empirical testing result to examine the validity of inbound supply and outbound demand risk factors in the sense of early predicting the firm's bankruptcy risk level. The risk factors are drawn from industry uncertainty attributes categorized as uncertainties of input market (inbound supply), and product market (outbound demand). On the basis of input-output table, industry level inbound and outbound sectors are identified to formalize supply chain structures, relevant inbound and outbound uncertainty attributes and corresponding risk factors. Subsequently, publicly available macro-economic indicators are used to appropriately quantify these risk factors. Total 68 industry level bankruptcy risk forecasting results are presented with the average R-square scores of between 53.4% and 37.1% with varying time lag. The findings offers useful insights to incorporate supply chain risk to the body of firm's bankruptcy risk level prediction literature.

• Journal of Korea Technology Innovation Society
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• v.8 no.spc1
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• pp.499-524
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• 2005

The economic spillover effect from technology self-reliance of NSSS(nuclear steam supply system) by Korea Atomic Energy Research Institute was evaluated. Both production spillover effect and value added spillover effect were estimated by using Input-Output table. The production spillover effect from technology self-reliance of NSSS was estimated as 135 trillion Won during 1986-2015, while the value added spillover effect was 69 trillion Won during the same period. Besides, it was found that the technology self-reliance made great contribution to unquantifiable economic benefits such as enhancement of overall nuclear technology level, improvement of the role in international nuclear society, and improved potential to nuclear technology export.