• Title, Summary, Keyword: Inter-industry Analysis

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New Growth Power, Economic Effect Analysis of Software Industry (신성장 동력, 소프트웨어산업의 경제적 파급효과 분석)

  • Choi, Jinho;Ryu, Jae Hong
    • 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.

A Study on the Labor Inducement Coefficient of Software Industry through Reclassification of the Inter-Industry Table (산업연관표의 재분류를 통한 소프트웨어산업의 노동유발계수 분석에 관한 연구)

  • Choi, Jinho;Ryu, Jae Hong;Lim, Gyoo Gun;Shin, Ik Ho
    • Journal of Information Technology Services
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    • v.13 no.3
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    • pp.165-181
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    • 2014
  • This study proposes the accurate labor inducement coefficient (employment inducement coefficient/hiring inducement coefficient) of Korea software industry by analyzing the inter-industry relation using the modified inter-industry table. To rewrite the inter-industry table of Korea, some previous studies related to the inter-industry analysis were reviewed and the key problems were identified. First, in the current inter-industry table published by the Bank of Korea, the output of software industry includes not only the pure software related output but also the output of non-software section due to the misclassification of the industry. This causes the output to become bigger than the actual output of software industry. Therefore, if the inter-industry table is not modified, the labor inducement coefficient would be overestimated too much. 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 labor inducement coefficient to be over or underestimated. This study tries to correct these problems to get the more accurate labor inducement coefficient 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 followings are the labor inducement coefficient obtained when the output is divided into the pure software section (package software, and IT service) and non-software section. As of 2011, the employment inducement coefficients of pure software section, package software section and IT service of Korea were 8.616, 13.998, and 7.773 respectively while the labor inducement coefficients of pure software section, package software section and IT service of Korea were 7.979, 13.332, and 7.083, respectively.

Industry Analysis of Chungchong area Using Regional Inter-Industry Table (지역산업연관표를 이용한 충청지역 산업분석)

  • Lim, Eung-Soon;Jung, Kun-Oh
    • 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.

Measuring Economic Externalities of IT and R&D

  • Rim, Myung-Hwan;Cho, Sang-Sup;Moon, Choon-Geol
    • 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.

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Employment Effects Evaluation of Naver Shopping in 2018 (2018년 네이버 쇼핑의 고용영향 평가)

  • KIM, Heung-Kyu;JUNG, Yeon-Sung
    • The Journal of Industrial Distribution & Business
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    • v.10 no.5
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    • pp.27-36
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    • 2019
  • Purpose - Naver has emerged as a new leader in the open market. While existing open markets such as Gmarket, 11th Street, and so on are suffering from profitability deterioration, Naver is attracting sellers based on low commission and powerful search engine. We would like to analyze the impact of Naver shopping on the national economy, especially on employment, in a situation where the market reaction to Naver's strength as a leader in online shopping is mixed. Research Design, Data, and Methodology - Through the demand inducing inter-industry analysis, we estimate the employment inducement effect by Naver shopping from its shopping transaction. In turn, through the supply inducing inter-industry analysis, we estimate the employment inducement effect by Naver shopping from its low commission and powerful search engine. For the purpose of inter-industry analysis, as of 2018, the most recently announced 2014 inter-industry table (extension table) from the Bank of Korea is used. Results - The results of this study are as follows. First, Naver Shopping is expected to generate 7.8 trillion won's trade in 2018, resulting in 244,225 of job inducement, and 158,598 of employment inducement. In addition, Naver Shopping is estimated to benefit KRW 213 billion to its sellers due to low commission and powerful search function, resulting in 8,667 of job inducement, and 5,655 of employment inducement. Second, in terms of job inducement and employment inducement due to Naver Shopping's trade, transportation, business support service, information and communication, broadcasting, restaurants and lodging were ranked. Third, in terms of job inducement and employment inducement due to Naver Shopping's low commission and powerful search function, restaurants and hospitality, f/b and cigarette manufacturing, construction, and transportation equipment manufacturing were ranked. Conclusions - The number of job inducement resulting from low commission and powerful search engine of Naver shopping in 2018 was 8,667 (3.7% of 244,225, which was caused by transaction in Naver shopping in 2018), and employment inducement was 5,655 (3.7% of 158,598, which was caused by transaction in Naver shopping in 2018), which can be considered as additional employment impacts of Naver Shopping compared to the other online shopping operators.

Agribusiness Areas on the Employment Sector of Graduates of Agricultural Science college (농학계열 대학 졸업생의 취업분야를 통해 본 농산업영역)

  • Kim, Jung-Tae;Lee, Jong-Sang
    • Journal of Agricultural Extension & Community Development
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    • v.22 no.2
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    • pp.175-190
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    • 2015
  • Most studies examining the sub-categories of agro-industry used to access an inter-industry analysis. However, These are some limitations that researchers set sub-categories differently according to their needs. Thus, This study aims to empirically explore the agro-industry sub-categories by area of academic research on agricultural science. The National Standard Science and Technology Classification(NSSTC) codes were used to classify academic research on agricultural science. This codes were examined the sub-categories using Korean input-output statistics industry and product classification by hiring 220 departments of 37 agricultural colleges. Results showed that studies using an inter-industry analysis coincided in terms of agricultural production, but showed differences in forward and backward linkage industries and services. Forward linkages industry were clearly limited to industries in which agricultural products are inputted as raw materials. Then, in terms of services related to agriculture, Previous studies represent fields such as transport and real estate, which are not included. Moreover, Research institutions overlooked by previous studies occupy an important position.

VHTR Construction Ripple Effect Analysis Using Inter-Industry Tables (산업연관분석을 통한 초고온가스로 건설 파급효과 분석)

  • Lee, Tae-Hoon;Lee, Ki-Young
    • Journal of the Society of Korea 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.

The Analysis on the Spatial Characteristics and Inter-organizational Network Structure Change in the Creative Industry: Focused on Design Industry (창조산업의 공간적 특성과 기관별 네트워크구조 변화 분석 : 디자인산업을 중심으로)

  • Choi, Hae-Ok
    • Journal of the Economic Geographical Society of Korea
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    • v.15 no.1
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    • pp.116-130
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    • 2012
  • This study focuses on analyzing the design industry in creative industry in the context of upbringing growth engine of regional development policy and strategy. This research probe the spatial characteristics and inter-organizational network structure change from 2000 to 2010 using social network analysis(SNA) in terms of structural, spatial and temporal aspects. first, with the statistical data of design industry, this research evaluate spatial distribution and agggglomeration compared with 16 cities and 7metropolitan scales in Korea. Next, the group of density in the knowledge network of design industry explained with the spatial characteristics and inter-organizational network evolution in time series. After considering the government policy and strategy providing as a result of establishing regional innovation center strengthen cooperation among industry-university-research center.

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Analysis on the Inter-Industry Network between the Service Industry in the Korean Capital Region and 10 Industrial Sectors in 20 City-Regions of China-Japan-Korea (한국 수도권 서비스업과 한·중·일 20개 도시지역 내 10개 산업부문과의 산업 간 네트워크 분석)

  • Han, Jihye;Kim, Kabsung;Jung, Hayoung
    • Journal of the Korean Regional Science Association
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    • v.32 no.4
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    • pp.51-73
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    • 2016
  • Considering the intensified ties between Korean service industry and the other industries in China and Japan, this study empirically analyzes the inter-industry network between the service industry in the Korean capital region and 10 industrial sectors in 20 city-regions of China, Japan, and Korea(CJK). Firstly, unit structures are constructed based on the estimated CJK interregional input-output tables to understand the production connection. Moreover, the reorganized unit structures are visualized as networks and examined from various angles. As the results of the analysis, the inter-industry network of the service industry in the Seoul Metropolitan Area is still mostly dependent on domestic industries, especially on manufacturing industry, while it shows the tendency to be weakly connected to the industries in Chinese and Japanese city-regions.

Role of the Korea Steel Industry in the National Economy Analysis (한국 철강산업의 국민경제적 파급효과 분석)

  • Jung, Kun-Oh;Lim, Eung-Soon
    • 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.