• Journal of Information Technology Applications and Management
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• 제21권4_spc호
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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.

• 한국IT서비스학회지
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• 제13권3호
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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.

• Journal of Korea Trade
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• 제23권2호
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• pp.14-33
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• 2019

Purpose - This paper aims to articulate determinants of inter-organizational cooperation based on to the extent to which inter-organizational tasks are related to product development and production processes. Design/Methodology - This research conducted OLS regression analysis based on the data acquired from questionnaire survey in Korean auto industry. Findings - Our analysis has verified that complementary and compatible resources, as well as physical and human asset specificities, positively affect inter-organizational product development cooperation. Conversely, in the production process, only complementary resources positively affect inter-organizational cooperation, whereas compatible resources and physical asset specificity have a negative influence. The changing characteristics of compatible resources (with IT innovations and AI), and physical asset specificity (influenced by a rising need to reduce production costs), cause inter-organizational cooperation in production to decrease. Originality/value - This research attempts to expound upon these determining factors of inter-organizational cooperation by considering both complementary-compatible resources and asset specificity in product development and production simultaneously. The reason why the impact of complementary-compatible resources and asset specificity on inter-organizational cooperation is critical in understanding the determinants of inter-organizational cooperation is that the attributes of complementary-compatible resources and asset specificity in production have changed drastically due to the continuing diffusion of IT innovations and AI (Artificial Intelligence).

• 한국산학기술학회논문지
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• 제10권6호
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• pp.1361-1368
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• 2009

본 연구는 충청지역를 대상으로 하여 지역산업연관분석을 실시함으로써 지역경제활성화를 위한 산업선정과 투자우선순위 등을 제시하고자 함이다. RAS기법을 이용하여 2005년 전국산업연관표를 바탕으로 2006년 전국산업연관표를 작성한 후에, 입지계수법을 이용하여 2006년 충청지역산업연관표를 작성하여, 충청지역의 각종 파급효과들을 분석하였다. 생산유발효과, 부가가치 유발효과 분석결과는 제조업부문이 가장 높게 나타났으며, 취업유발효과의 경우 음식점 및 숙박업이 가장 높게 나타났으며, 감응도계수는 광업, 영향력계수는 제조업부문에서 높게 분석되었다.

• ETRI Journal
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• 제27권2호
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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.

• 농촌지도와개발
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• 제22권2호
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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.

• 한국콘텐츠학회논문지
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• 제21권8호
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• pp.184-200
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• 2021

본 연구는 북측 경제특구인 개성공단을 활용한 신발전용단지 조성의 필요성과 가능성을 확보하고자 한다. 이는 남북 상생협력모델을 통해 한국 신발산업의 활성화를 위한 전략적 가치를 모색하는 정책제안이다. SWOT-AHP 분석 방법을 이용하여 신발산업의 지속가능성을 위해 개성공단 신발전용단지 활용 전략을 수립하고자 한다. 국내 신발산업이 직면한 산업구조적인 문제들을 남북협력의 가능성 측면에서 극복방향을 제시하고 있다. 분석결과로 'SO 전략'은 남북의 신발클러스터를 통한 남북협력 K-슈벨트 구축 제안이다. 'WO 전략'은 개성공단 신발전용단지의 국제화 전략이다. 'ST 전략'은 대북제재 해소를 위한 신발전용단지 조성의 유연한 거버넌스 활용이다. 'WT 전략'은 개성공단 재개를 위한 남북의 신발산업이 평화경제 인식의 패러다임 전환이다.

• 산업경영시스템학회지
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• 제38권4호
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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.

• 한국경제지리학회지
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• 제15권1호
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• pp.116-130
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• 2012

성장동력산업의 육성 정책에 따라 부가가치가 높은 산업을 광역 경제권단위에서 육성하는 정책이 진행되고 있다. 이 분석의 목적은 창조산업의 대표적 분야인 디자인산업을 발전시키고 있는 지식을 기반으로 한 네트워크의 공간적 특성과 기관별 네트워크 구조를 도출하고, 2000년에서 2010년까지의 시간적 변화에 초점을 두어 분석함으로서 앞으로 나아가야 할 방안을 모색해 보고자한다. 먼저 전국 디자인산업의 변화와 시도별 광역별 성장을 살펴보고 심층인터뷰를 실시하여 기관별 네트워크 현황을 파악하였다. 이를 기반으로 디자인산업과 관계된 공동연구 데이터를 가공하여 구조적, 공간적, 시간적인 측면을 고려하여 종합적인 판단으로 공간적 특성과 기관별 네트워크 구조의 변화에 대해 분석하였다. 또한 그룹분석에 활용되는 지표를 이용하여 네트워크의 밀도, 링크수, 집중도를 기준으로 다른 그룹과 상대적으로 변화하는 하는 과정을 비교 분석하였다.

• 지역연구
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• 제32권4호
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• pp.51-73
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• 2016

본 연구는 한 중 일 간 경제교류의 증대에 따른 한국 서비스업의 중국 및 일본 산업과의 연계 심화를 고려하여 한국 서비스업과 한 중 일 전 산업 간의 네트워크 변화를 실증적으로 분석하는데 목적을 두고 있다. 이를 통해, 한국 서비스업의 산업 간 네트워크가 한 중 일의 공간적 범위에서 설명될 수 있는지를 확인하고, 향후 한국 도시지역의 산업 정책 방향 설정에 도움이 될 수 있는 기초자료를 제공하고자 하였다. 구체적으로, 본 연구는 한국 서비스업이 집중되어 있는 수도권에 연구의 초점을 맞추어, 한국 수도권 서비스업이 지난 1995년~2010년 동안 한 중 일 20개 도시지역의 10개 산업부문과 어떠한 연관관계를 가져왔는지를 단위구조를 활용한 생산연계 분석 및 네트워크 분석을 통해 실증하였다. 분석 결과, 한 중 일 내에 형성되어 있는 한국 수도권 서비스업의 산업 간 네트워크는 아직 많은 부분을 국내 산업, 특히 제조업에 의존하고 있었다. 동시에 중국 및 일본 도시지역 산업들과의 연계 정도가 강하지 못한 것으로 분석되어 한 중 일 간에 산업 연계가 증가하였다고는 하나, 한국 수도권 서비스업과 관련한 산업 연계는 한 중 일 내에 크게 발달해 있지 않은 것으로 판단된다.