• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.426-426
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• 2017

국가간 지역간 물의 이동을 개념화하여 물 부족 현상을 정치경제학적 관점에서 접근하려는 가상수(virtual water) 연구가 국제적으로 진행되고 있다. 가상수를 양적 측면에서 산정하여 정확한 물 수지를 파악하면 수자원에 대한 국가의 계획과 전략 수립에 매우 유리한 여건이 조성된다. 우리나라의 국가계획인 수자원장기종합계획은 국가 간의 물 이동을 고려하지 않고 국내에서 발생하는 용수의 수요와 공급 측면만을 산정하고 있다. 그러나 현재에도 국내에서 소비하는 농산물과 축산물의 상당량은 수입에 의존하고 있으며, 향후 국제교역과 FTA의 확대 등으로 그 의존도는 더욱 증대될 것으로 추산된다. 따라서 국가 간 물 이동에 대한 양적 규모를 파악하여 국가전략을 수립하는 기초자료로 활용하기 위한 연구가 필요하다. 이에 본 연구에서는 산업연관분석법을 활용하여 국내 산업별(제조업, 서비스업) 가상수를 산정하여 국가 수자원계획 수립에 필요한 기초자료로서 제공하고자 한다. 산업연관분석(Inter-industry analysis)은 산업연관표를 바탕으로 산업 간의 상호 연관관계를 수량적으로 파악하는 방법이다. 이를 가상수 산정에 활용하여 직접수와 간접수를 포함한 물의 전체 사용량을 산정할 수 있다. 본 연구에서는 각 산업의 용수량을 총 생산량으로 나누어 물 강도($m^3$/원)를 계산하고, 생산유발계수와 최종수요를 곱하는 방식으로 산업별 가상수량을 산정하였다. 산업별 가상수 산정 결과는 경제총조사의 용수비와 산업연관표의 생산유발계수를 적용하였으며, 제2차 산업인 제조업 분야의 연간 가상수량은 60.4억 $m^3$, 제3차 산업인 서비스 분야의 가상수량은 연간 43.1억 $m^3$으로 분석하였다. 또한 향후 10년의 OECD 기술수준 제품군별 무역수지 전망을 고려한 결과, 기술수준 중 및 고 기술제품의 가상수 수출량이 2020년에는 2010년에 비해 약 3배 증가하는 것으로 산정하였다. 이와 같은 방법으로 산정된 산업별 가상수는 각 산업의 물 사용량을 추정하고 산업 전반의 수자원 활용도를 파악하는데 이용 가능하다. 더불어 국제 환경 및 기후변화가 반영된 가상수 시나리오 연구를 통해 장래 용수 수요변화예측 등 효과적인 물 관리 정책 수립에 기여할 수 있다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.42 no.9
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• pp.739-744
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• 2014

Space exploration project usually consists of so many fields of sub projects that it has a diverse ripple effect throughout the economy. Further studies could not consider the complexity of the space exploration project because they regarded it as one project in spite of the diversity. This study found a way to consider complexity of space exploration project using the concept of WAC(weighted average coefficient). The moon exploration project (2014~2020) is the subject of this study. We classified the moon exploration project into 8 industries and calculated the WAC of production inducement coefficient, value added inducement coefficient, and employment inducement coefficient. The result of analysis using these WACs is that production inducement effect amounts to 1,229.6 billion won, value added inducement effect 324.6 billion won, employment inducement effect 4,844 men. And the linkage effect analysis shows that moon exploration project has more backward linkage effect than forward linkage effect.

• 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.

• Proceedings of the Korean Nuclear Society Conference
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• 1998.05b
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• pp.981-987
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• 1998

원자력 발전 산업의 산업연관분석 결과에 의하면, 원자력 발전의 운영을 통하여 1993년에 국내총산출액 및 국내총생산의 0.5%를 생산하고 있는 것으로 나타났다 원자력 발전 산업의 생산물인 전력은 다른 산업의 생산활동을 위한 중간재로서 활발히 이용되고 있는 바, 이에 대한 지표인 중간수요비 즉 전방연관효과가 전체 산업평균 보다 높은 것으로 나타났다. 반면에 원자력 발전 산업 자체의 생산활동에서 필요로 하는 중간재에 대한 수요 즉, 후방연관효과는 전체 산업평균 보다 상당히 낮은 것으로 나타났다. 한편 원자력 발전 산업의 부가가치율은 다른 발전 산업 중에서 가장 높아서 경쟁관계에 있는 화력 발전산업에 비해 2배 이상의 부가가치를 창출하는 것으로 분석되었다. 원자력 건설 산업의 경제활동이 국민경제에 미치는 파급효과를 살펴보면 생산유발계수가 정부투자와 민간투자에 비해 높아 생산파급효과가 상대적으로 더 큰 것을 알 수 있다 그러나 수입유발계수는 정부투자와 민간투자에 비해 다소 높은 것으로 나타났다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.12B
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• pp.1087-1098
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• 2006

This study is unlike common Input-Output Analysis in the point that both RAS and methods are applied to the dynamic Input-Output Model simultaneously. We have analyzed the propagation effects on the regional economy from the investment generated by u-City construction in Wha-sung and Dong-tan City. The main results of the study are as follows. The total induced effect on production according to u-City construction in Wha-sung and Dong-tan City is estimated about 2.9 times. On the other hand, u-City industry is appreciated as a industry which a forward linkage effect is very high while a backward linkage effect is not that high.

• Journal of the Korean association of regional geographers
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• v.8 no.4
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• pp.480-491
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• 2002

The purpose of this study is to construct interregional input-output table for multi-regions using non-survey methods. Despite of wide use of interregional input-output table, there have been continuing debates with respect to it's accuracy mostly when it is constructed by non-survey method. The best ideal one is to construct through real survey, while we must pay much time and cost. With regard to this concern, Hulu and Hewings developed a step by step method for the estimation of interregional input coefficients for the Indonesian economy which might be a challenge for the limitation of location quotient method, for which Round pointed out earlier. A five regions interregional input-output table for Korea is developed in this study by expanding Location Quotient method. Some development was made, however, according to the degree of collection of data and the assumption in treating the interregional flows. Finally, a comparison was made for the accuracy of input coefficients between the real surveyed and derived ones.

• Annual Conference on Human and Language Technology
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• 2011.10a
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• pp.79-82
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• 2011

본 논문은 다양한 주제 분야의 연구 성과물을 제공하는 학술DB에서 주제어(Keyword) 정보를 바탕으로 SNA(Social Network Analysis)기법을 적용해 검색어와 연관도가 높은 연관검색어를 제공하는 것을 그 목적으로 한다. 이를 위해 주제어들 간의 가중치(Weight)를 계산한 뒤 Ego Network 분석을 통해 검색어와 연관된 연관주제어를 추출하고 이를 기존 학술DB에서 제공한 연관검색어와 비교 정리하였다. 그리고 정리된 결과를 연관규칙 마이닝기법, 유사계수를 적용해 연관도측면에서 비교 평가하였다.

• Journal of the Korean Data and Information Science Society
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• v.24 no.2
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• pp.267-275
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• 2013

Among data mining techniques, the association rule is the most recently developed technique, and it finds the relevance between two items in a large database. And it is directly applied in the field because it clearly quantifies the relationship between two or more items. When we determine whether an association rule is meaningful, we utilize interestingness measures such as support, confidence, and lift. Interestingness measures are meaningful in that it shows the causes for pruning uninteresting rules statistically or logically. But the criteria of these measures are chosen by experiences, and the number of useful rules is hard to estimate. If too many rules are generated, we cannot effectively extract the useful rules.In this paper, we designed a variety of non-linear regression equations considering all association thresholds between the number of rules and three interestingness measures. And then we diagnosed multi-collinearity and autocorrelation problems, and used analysis of variance results and adjusted coefficients of determination for the best model through numerical experiments.

• Journal of the Korean Data and Information Science Society
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• v.23 no.6
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• pp.1127-1135
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• 2012

Association rule mining is the method to quantify the relationship between each set of items in a large database. One of the well-studied problems in data mining is exploration for association rules. There are three primary quality measures for association rule, support and confidence and lift. We generate some association rules using confidence. Confidence is the most important measure of these measures, but it is an asymmetric measure and has only positive value. Thus we can face with difficult problems in generation of association rules. In this paper we apply the similarity measures by probabilistic interestingness measure to find a solution to this problem. The comparative studies with support, two confidences, lift, and some similarity measures by probabilistic interestingness measure are shown by numerical example. As the result, we knew that the similarity measures by probabilistic interestingness measure could be seen the degree of association same as confidence. And we could confirm the direction of association because they had the sign of their values.

• 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.