• Environmental and Resource Economics Review
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• v.15 no.3
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• pp.425-450
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• 2006

The index of energy intensity(energy/GDP) has been a primary policy concern since it can clarify industry sectors which use energy intensively and generate $CO_2$ emission heavily. Although energy intensity index may be suitable for estimating $CO_2$ emission from an isolated industry sector, we need an index for induced $CO_2$ emission since industrial activities are interconnected in terms of input and output. By employing Environmental Input-Output Table 2000, this paper analyses the flow of energy demand and pollutants after first estimating an induced $CO_2$ emissions from various industrial sectors and economic activities. The paper reports higher induced $CO_2$ emissions from industry sectors with larger energy intensity since they produces goods or services retaining relatively considerable environmental load. Furthermore, it is shown that environmental load and $CO_2$ emissions in overall economy are likely increasing when the products of energy intensive industrial sector is used as inputs for less intensive sectors' production process. The result suggests we need consistent policy efforts to reduce energy intensity to lower $CO_2$ emissions.

• 전기의세계
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• v.18 no.3
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• pp.15-23
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• 1969

A combinational circuit is one of the fundamental elements in digital circuits, containing electronic computers. W.A. Davis presented a new approach to the problem of assigning binary input codes so that the combinational circuits necessary to realize the given output functions may be minimized. This paper has derived an algorithm for determining the actual cost of a given assignment scheme in Davis method. First, the combinations of partitions realizing the output functions are obtained and then those among them implementing all of the output functions are found by using a table. In consequence it has been proved that by this algorithm the process of the assignment in a schcme with 16 states and 3 determined partitions can be reduced to 1/10$^{6}$ .

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.41
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• pp.169-183
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• 2009

This study has been conducted under the background of the high rocketed international oil price in the mid of the 2008 year. Korean logistics industry then suffered from a harsh labor strike which paralyzed temporarily Korean exports and imports activities mainly due to the rising motor fuel prices. The theme of this study started from the highly practical question: what would be the impact of the soaring crude oil price on the cost structure of the Korean logistics industry? For this practical question this study conducted an input-output analysis utilizing the 2003 year benchmark input-output table, published by the Bank of Korea in 2007.

• Korean Journal of Community Nutrition
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• v.8 no.5
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• pp.763-769
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• 2003

The food-service industry in Korea has experienced remarkable growth during the past few decades. The objectives of this study were to analyze the influence of the food-service industry upon the national economy by using an input-output analysis and to find the industrial position of the food service industry. This paper analysed the economic effect of the food-service industry using 168 items arranged in a transaction table based on producer's prices in the 1995 input-output tables. The results of this study showed that the food-service industry had a major influence on the national economy of Korea. Based on the calculation of the following five coefficients; Korea's production inducement coefficient ranked as 50, its import inducement coefficient ranked as 28, its value added inducement coefficient ranked as 32, its worker inducement coefficient ranked as 2 and its employee inducement coefficient per final demand ranked as 5 in a total of 168 industries.

• Economic and Environmental Geology
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• v.57 no.2
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• pp.129-141
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• 2024

This study derived production-production multipliers using a regional input-output table and estimated the induced effect of aggregates through the non-metallic minerals sector and the concrete products sector. In deriving the induced effect of aggregates, it is difficult to use the regional input-output table due to the sector classification problem. This study analyzed the non-metallic mineral sector, including aggregates, as aggregates sector, and the concrete products sector, which uses most of the aggregate production. By analyzing this, we attempted to alleviate difficulties caused by sector classification restrictions. In the process of estimating the induced effect, it was assumed that there was a decrease in aggregate production, and in the process of analyzing the concrete products sector, the effect of the decrease in concrete product production due to the decrease in aggregate production, that is, the decrease in production of one unit of aggregate was 0.8511 in the concrete product sector. The analysis was conducted on the premise of a decrease in unit production. Inducing effects within and between regions were calculated for the 17 metropolitan cities and provinces classified by the regional input-output table. The employment effect was also calculated, assuming a 10% production decrease to show differences according to the size of the aggregate and concrete product sectors in each region.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.11a
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• pp.81-86
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• 1997

It is proposed, for fuzzy combustion control system of refuse incinerator to find the relationship between inputs and outputs and to generate rules to control by using rough set theory. It is not easy to find out the corresponding inputs for each output and the control rules with incomplete or imprecise information consisting expert knowledge, process and manipulator values in the field, and operation manual for the given system. Most decision problems can be formulated employing decision table formalism. A decision table on fuzzy combustion control system for refuse incinerator is simplified and produces control(rules). The I/O realtions and the control rules found by rough set theory are compared with the previous result.

• Journal of Information Technology Services
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• v.17 no.3
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• pp.37-51
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• 2018

Recently, cloud computing market is growing geometrically in both private and public area, and many global companies in various domains have developed and provided cloud computing services. In such situation, Korean government made multiple plans for domestic cloud computing industry. However, most research institutes have focused on market size and status information, which makes actual effectiveness of cloud computing service hard to recognize. In this study, we define cloud computing Industry by rearranging Input-Output table published by the Bank of Korea to use Input-Output Analysis. The Input-Output Analysis was devised in 1963 by Leontief and it is used in many fields of study until now. It produces various coefficients that are able to identify production-inducing effect, value-added effect, labor-inducing effect, front and rear chain effect. The analysis results show that production-inducing effect, front and rear chain effect of cloud computing industry is low compared to other industries. However, cloud computing Industry possesses relatively high value-added effect and labor-inducing effect. It is because industry magnitude of cloud computing is smaller than other industries such as manufacturing, chemical industries. The economic effects of the cloud computing industry are not remarkable, but this result is significant to emerging markets and industries and presents the fresh way of analyzing cloud computing research field.

• Journal of Information Technology Services
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• v.17 no.1
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• pp.47-58
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• 2018

In this study, we define Fintech services as review previous literatures and identify the traditional Fintech service market for analysing the economic effects of the Fintech Industry by using the 2014 Input-Output Table. We can identify the current market of Fintech industry which consists of VAN, PG, financial SW, mobile banking and Fintech R&D and we conduct Input-Output analysis by using non-competitive import model. The Input-Output analysis results show that production inducement effect and front/rear chain effect of the Fintech Industry are below average of other industries. This is because the Fintech technology and industry were emerging in Korea at that time (2014), and thus the ripple effects are not significant. Especially, due to the existing white risk financial regulation, new business opportunities have not been open to adapt new ICT-financial technologies. Therefore, when the business ecosystem is build through deregulation and platforms of the financial sector, it is expected that the Fintech Industry will have a high ripple effect. In this study, we identify the current market of Fintech industry from ICT indusries and conduct Input-Output analysis. The economic effects of the Fintech industry are not remarkable, but it is significant to identify the emerging market and present the basic analysis of issued research field.

• Spatial Information Research
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• v.20 no.6
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• pp.69-76
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• 2012

In this study, we derived the characteristics of the geo-spatial information industry by using input-output analysis. For this analysis, we classified the geo-spatial information industry and reorganized the input-output table. And we derived the production inducement coefficient, index of the power of dispersion and index of the sensitivity of dispersion in the geo-spatial information industry. We confirmed that geo-spatial information industry has a small production inducement coefficient and a great forward linkage effect. Based on these facts, we suggested the strategy direction as follows: 1) building the industrial eco-system, 2) managing both advance and applicability enhancement, 3) Establishing from a long-term point of view.

• Transactions of the Korean hydrogen and new energy society
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• v.34 no.5
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• pp.398-412
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• 2023

The Korean government is actively promoting the hydrogen industry as a key driver of economic growth. This commitment is evident in the 2019 hydrogen economy activation roadmap and the 2021 basic plan for hydrogen economy implementation. This study quantitatively analyzes the economic impact of the hydrogen economy using input-output analysis based on the Bank of Korea's 2019 input-output table, projecting its size by 2050. Four parts dealt with production-inducing, value-added creation, employment-inducing, and wage-inducing based on a demand-driven model. The results reveal that transportation had the most remarkable economic effect throughout the hydrogen economy, and production was the least. The hydrogen economy is projected to reach 71.2 trillion won by 2050.