• 한국산학기술학회논문지
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• 제9권3호
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• pp.831-839
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• 2008

전 세계적으로 철강산업의 중요성은 높아지고 있으며, 철강수요 역시 증가하고 있는 추세이다. 한국 철강산업의 철강생산량은 전 세계에서 5위를 차지하고 있어 국내에서는 철강산업에 대한 관심이 커져가고 있다. 또한 철강산업은 국내에서 경제성장을 이끌어 온 국가기간산업중의 하나이다. 이에 본 연구에서는 산업연관분석을 이용하여 철강산업이 국민경제에 미치는 파급효과들을 시계열로 분석하여 보고자 한다. 먼저 수요유도형 모형을 이용하여 생산유발효과, 부가가치 유발효과 그리고 취업유발효과를 살펴 볼 것이며, 아울러 공급유도형 모형 및 레온티에프 가격모형을 적용하여 철강산업의 공급지장효과와 물가파급효과에 대하여 살펴보고자 한다.

• Journal of Electrical Engineering and Technology
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• 제12권4호
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• pp.1566-1574
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• 2017

When the inter-turn short circuit (ITSC) fault occurs, the distortion of the magnetic field is serious. The motor loss variations of each part are obvious, and the motor temperature field is also affected. In order to obtain the influence of the ITSC fault on the motor temperature distribution, firstly, the normal and the fault finite element models of the permanent magnet synchronous motor (PMSM) were established. The magnetic density distribution and the eddy current density distribution were analyzed, and the mechanism of loss change was revealed. The effects of different forms and degrees of the fault on the loss were obtained. Based on the loss analysis, the motor temperature field calculation model was established, and the motor temperature change considering the loop current was analyzed. The influence of the fault on the motor temperature distribution was revealed. The sensitivity factors that limit the motor continuous operation were obtained. Finally, the correctness of the simulation was verified by experiments. The conclusions obtained are of great significance for the fault and high temperature demagnetization of the permanent magnet analysis.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2006년도 춘계학술대회 논문집
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• pp.611-612
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• 2006

Many data mining techniques have been proved useful in revealing important patterns from large data sets. Especially, data mining techniques play an important role in a customer data analysis in a financial industry and an electronic commerce. Also, there are many data mining related research papers in a semiconductor industry and an automotive industry. In addition, data mining techniques are applied to the bioinformatics area. To satisfy customers' various requirements, each industry should develop new processes with more accurate production criteria. Also, they spend more money to guarantee their products' quality. In this manner, we apply data mining techniques to the production-related data such as a test data, a field claim data, and POP (point of production) data in the automotive parts industry. Data collection and transformation techniques should be applied to enhance the analysis results. Also, we classify various types of manufacturing processes and proposed an analysis scheme according to the type of manufacturing process. As a result, we could find inter- or intra-process relationships and critical features to monitor the current status of the each process. Finally, it helps an industry to raise their profit and reduce their failure cost.

• 대한예방한의학회지
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• 제8권1호
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• pp.163-186
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• 2004

The purpose of this parer is to identify the input-output structure of oriental medicine and its alternative medicine industries in an inter-industry context and to estimate its forward and backward effects on macroeconomic variables such as production, employment and price level. Input-output tables released by The Bank of Korea were used as data in this research and inter-industry analysis was adopted as research methodology. The industry takes less share of production, price and trade in a Korean economy, compared with other industry. However, the industry's capability of creating value added is estimated to be well above that of other industry and that of making new employments is as more than 4 times as other industries. This result gives us policy implications that the government should enhance its subsidy policy and economic (tax) incentives for oriental medicine and its related alternative medicine industries.

• Ocean and Polar Research
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• 제38권1호
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• pp.71-79
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• 2016

In this study, we attempt to examine the economic impacts of the CCS marine geological storage demonstration project in Korea using Input-Output analysis utilizing the inter-industry relation table issued in 2013. In particular, this study defines the $CO_2$ ocean storage industry and then added the inter-industry relation table and treated the $CO_2$ ocean storage industry as exogenous. In addition, this study assumed two scenarios based on the means of $CO_2$ transport, which are pipe and ship. After defining the industry and scenarios, this study investigates the production-inducing effect, value added inducing effect, and employment-inducing effect of the industries associated with the $CO_2$ ocean storage industry based on a demand-driven model. The results pertaining to the scenarios are estimated as follows: total production-inducing effects, value added inducing effects, and employment-inducing effects are calculated as 1.9044 won, 1.2487 won and 16.7224 people/billion won, respectively. In addition, compared to other industries, the indirect economic impacts of the $CO_2$ ocean storage industry are ranked high: the rankings of production-inducing effects, value added inducing effects, and employment-inducing effects are fourth, second, and fifth, respectively.

• 산경연구논집
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• 제10권5호
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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.

• 대한교통학회지
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• 제28권1호
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• pp.107-114
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• 2010

본 논문은 국가 경제의 동맥역활을 하는 물류산업에 초점을 맞추고 권역별 물류산업의 특징과 경제적 파급효과를 분석하였다. 이를 위하여 물류산업을 중심으로 6개 권역(수도권, 강원권, 충청권, 전라권, 경북권, 경남권)으로 구분된 지역산업연관표(MRIO표)를 이용하여 지역별, 산업별로 경제권에 대한 분석을 수행하였다. 연구의 목적에 맞게 기존의 산업연관표를 중심으로 29개 부문으로 재구성하였고, 총산출액 비교 및 외생화 방법을 이용하여 생산유발효과, 공급지장효과, 전후방연쇄효과 등을 분석하였다. 분석결과, 물류산업은 생산유발효과보다 공급지장효과가 큰 산업으로 나타났고, 지역간의 거래보다는 지역내의 거래가 상대적으로 많은 것으로 나타났다. 그 밖에 수도권 물류산업은 중간수요적 원시산업 특성을 가지는 관계로 파급효과가 미약한 것으로 나타났고, 경남권의 자동차 및 석유화학, 전라권의 석유화학 등에 미치는 물류산업의 파급효과가 큰 것으로 나타났다.

• 한국산학기술학회논문지
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• 제18권6호
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• pp.110-118
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• 2017

본 논문은 재무관리 이론에서 현재까지 논의가 지속되고 있는 국내 유가증권시장 상장기업들의 최적자본구조 존재여부에 대한 실증론적 연구이다. 최적자본구조에 대한 주요 이론적 논리인 자금조달이론, 상충이론, 그리고 대리인 이론 등을 전제로, 모수적 그리고 비모수적 방법을 활용한 공분산모형의 분석을 통하여 표본기업들의 최적자본구조 존재 여부를 검정하였다. 구체적으로는, 상충이론과 대리인비용이론과 관련된 통제변수들이 해당모형에서 각각 활용되었으며, 이는 최적자본구조 존재를 위한 산업 간 그리고 산업 내 분석 자금조달이론 통제변수를 활용한 기존의 연구와도 대비될 수 있다. 연구결과 관련, 표본산업을 활용한 산업들 간 분석에서는 최적자본조가 존재하는 것으로 실증적으로 검정된 반면, 산업 내 분석에서는 해당 기업들 간의 통계적인 측면에서 최적자본구조가 존재하지 않는 것으로 나타났다. 이와 부합하여, 본 연구에서 도출된 결과가 잠재적인 투자가들의 측면에서 의미할 수 있는 바는, 향후 국내 기업들이 해당 산업 내의 최적부채비율에 점진적으로 접근할 경우, 기업가치 증대를 위한 재무적 기회가 상존한다는 것이다.

• 한국철도학회논문집
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• 제19권6호
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• pp.815-825
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• 2016

'2013년 산업연관표'를 활용하여 철도운송서비스산업의 위상과 국가 경제에 미치는 효과를 분석하였다. 이를 '2003년 산업연관표'를 이용한 분석결과와 직접 비교함으로써 지난 10년 동안의 변화를 살펴보았다. 지난 10년간 우리나라의 철도운송서비스 산업은 생산액, 부가가치, 수출입 등에서 많은 변화가 있었다. 이를 가장 선명하게 보여주는 지표는 생산, 부가가치, 수입유발 승수의 크기이다. 2013년에 철도여객서비스의 생산, 부가가치, 수입유발 승수는 2003년에 비해서 각각 2.1배, 0.03배, 1.29배 증가하였다. 그리고 철도화물서비스는 각각 1.17배, 0.02배, 0.64배씩 증가하였다. 이 수치들을 통해서 지난 10년 동안에 철도운송서비스산업과 다른 산업들 간의 투입산출구조가 상당히 많은 변화를 거쳤음을 알 수 있다. 그리고 산업연관분석 연구에는 무엇보다도 최신의 자료를 이용해야 더 시의적절한 결과를 도출 할 수 있음도 새삼 확인되었다.

• 한국의류산업학회지
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• 제20권4호
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• pp.369-378
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• 2018

This study started with the need for transition to competency-based education as well as the witness of fast changes in fashion industry's job environment. The goals of this study were (1) to explore fashion designers' competencies that are necessary for a successful careers in global fashion industry, and (2) to establish fashion designer competency model. In-depth individual interviews were conducted with 15 participants who have charged for design department and moreover have shown high performance in national, licence or designer brands in Korea fashion industry. Grounded theory was adopted to analyze data. As a result of analysis, the 4 core competencies emerged: problem-solving, research, inter-personal, and self-development. Each core competency has sub-competencies. Creativity, commerciality, control, decision making were sub-competencies for the problem-solving competency. Information management, innovation understanding & application, trend analysis & forecasting were sub-competencies for the research competency. Consumer, inside company, and outside company relationships were sub-competencies for the inter-personal competency. Self-awareness, self-management, expertise were sub-competencies for the self-development competency. In order to acquire these competencies, knowledge (academic, practical, multi-discipline), skills (sense, analysis, synthesis, communication), and attitude (interest, enjoyment, perseverance, personality) were essential. Based on these findings, implications for university fashion design education and further research areas were suggested.