• 유통과학연구
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• 제11권8호
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• pp.31-37
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• 2013

Purpose - This study aims to strengthen the economic cooperation between Korea and Japan by studying the pattern of trade between them and identifying drawbacks. Thus, it aims to enable trade expansion by analyzing the factors that affect trade and identifying ways to improve them. If economic cooperation is improved, transport and communication costs, as well as the transaction cost of economic exchanges, can be minimized. Research design, data, methodology - The trade intensity index developed by the Japanese economist Yamazawa under his trade intensity theory was used to analyze the trade decision factor of Korea and Japan. Trade structure and decision factors were analyzed for the target period of 2000 to 2012, and the period ranging from 2000 to 2005 was compared with the period ranging from 2005 to 2012. This paper is an analysis of the resultant time series. The data were collected from Korea Traders Association, Korea Customs Office, and UN Comtrade (2000, 2005, 2012) and whole table indexes were calculated by the author. Trade related index was used to analyze the comparative advantage based on time-series analysis statistics data (2000. 2005, 2012) through an analysis of the trade intensity index (TII), revealed comparative advantage index (RCA), and trade specialization index (TSI). Results - The trade intensity index of the industries of Japan and Korea is 1.814 in 2000. The export ratio of Japan against China was slightly higher at 2.128. TII is indicated to be 1.600 in both 2005 and 2012, which means export ratio of Japan against China is considerably maintained in 2005; however, export ratio of Japan against China is diminishing gradually as its index is 1.600 in 2012. Second, as per the trade specialization index of the ship industry in Japan and China, TSI is indicated to be -0.818 in 2000, -0.308 in 2005, and -0.847 in 2012. Generally, it is still closer to -1 and especially, we can see it is more closer to -1 in 2012. Third, as per the revealed comparative advantage index of the ship industry in Japan and China, the RCA index in 2012 is 0.007, which is quite far from 1 as compared to the value in 2000 and 2005. Hence, the Japanese ship industry has a significant comparative disadvantage against the Chinese ship industry. Conclusions - Both countries invest most of their capital in the shipping industry. It is the shipping industry that receives the most capital investment in the two countries is invested and governmental policy funds are needed. As both countries have large shipping industries, this research project is very valuable. Japan and China are compared because they are Korea's neighbors. Also, Korea is strategically located in Northeast Asia and has a history of foreign intrusion from several countries. Therefore, the purpose of this research study is to understand the trade structures of both countries and intensify the economic cooperation between Japan and China.

• 한국콘텐츠학회논문지
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• 제18권9호
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• pp.390-398
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• 2018

본 연구는 지역경제와 지역대학의 산학협력효과를 일자리창출을 중심으로 분석하고자 하였다. 이를 위해 2018년도 한국의 산학연 연구개발사업이 국내 부문별 산업에 미치는 파급효과를 2014년 산업연관 연장표를 이용하여 생산 및 고용유발효과를 추정하였다. 생산유발의 부문별 파급효과로는 전문 과학 및 기술서비스 관련부문의 생산증가가 10조 6,130억 원, 교육서비스업 9조 5,080억 원, 정보통신 및 방송업 1조 2,500억 원, 전력, 가스, 및 증기업 8,990억 원 등의 순으로 나타났으며 이렇게 유발된 생산증가액은 약 30.2조 원으로 최초 지출액의 약 1.5배로 추정되었다. 고용유발효과로는 역시 전문 과학 및 기술서비스 부문이 13,691명으로 가장 높게 나타났으며, 다음으로 교육서비스 부문이 13,026 명, 그리고 정보통신 및 방송업 부문이 1,287명의 순으로 총 35,000여명의 유발효과를 보였다. 이들의 효과를 종합하여 보면 2018년도 정부의 산학연 연구개발사업비 지출로 연간 창출되는 생산과 고용창출효과가 상대적으로 큰 분야는 전문 과학 및 기술서비스분야, 교육, 정보통신 및 방송업 등으로 나타났다. 따라서 산학연 연구개발사업은 일자리창출 효과가 크게 나타날 수 있는 이들 첨단산업기술 분야에 지역대학과의 산학연 협력을 통하여 일자리 창출효과를 극대화 할 수 있도록 해야 한다고 본다.

• 유통과학연구
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• 제12권6호
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• pp.21-29
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• 2014

Purpose - This research undertakes to understand the competitiveness of the steel distribution industry of both Korea and China to strengthen Korea-Sino economic cooperation, examines impediments to trade between the two countries to analyze causes which affect trade, and examines improvements in these areas to identify means of trade expansion. Through this survey of a defined period, we can identify the structural factors of trade dependence in the relationship between Korea and China. Research design, data, and methodology - The data were collected from the Korea Traders Association, the Korea Customs Office, and UN Comtrade, from which whole table indexes are calculated. The research methodology uses trade-related indexes to focus on analyzing comparative advantages based on time-series analysis statistics data (2000-2012) by using the analysis index of trade intensity index (TII), the revealed comparative advantage index (RCA), and the trade specialization index (TSI). Results - The export ratio for Korea to China was slightly higher in 2000 at 2.867, and the export ratio for Korea to China was sustained in 2005. However, it diminished gradually, reaching 1.263 in 2012. During the period 2000-2012, the indexes were maintained without any significant change. However, they still remain close to -1. In particular, in 2012 it is the closest it has ever been to -1. Therefore, China has a comparative advantage in export specialization. On the other hand, Korea has a comparative advantage in import specialization. For the research period, all indexes were much lower than 1, which means that Korea has consistently had a comparative disadvantage against China for the past 10 years when compared to other industries, even though it experienced improvement in 2000. Conclusions - The summary of conclusions based on empirical analysis research are as follows: First, per the trade intensity index of industries between the two countries, we conclude that the export ratio index in 2000 is 2.867, which means the export ratio of Korea to China is slightly higher. Furthermore, the ratios of 2.259 and 1.263 held in 2005 and 2012, respectively, meaning that the export ratio of Korea to China was maintained in 2005, but was diminishing gradually as the index in 2012 was 1.263. Second, per the trade specialization index of the steel distribution industry between Korea and China, the value was -0.379 in 2000, -0.368 in 2005 and -0.568 in 2012. Looking at the whole period of 2000-2012, the indexes remained without any significant change. However, they are still moving closer to -1. In particular, in 2012 it is the closest it has ever been to -1. Third, regarding the revealed comparative advantage index of the steel distribution industry between Korea and China, the RCA indexes in 2005 and 2012 are 0.246 and 0.306, respectively, which are still far from 1, even though the index has improved compared to the 2000's value of 0.0001. Therefore, the Korean steel distribution industry is at a significant comparative disadvantage to that of the Chinese steel distribution industry.

• 한국항만경제학회지
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• 제34권2호
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• pp.17-30
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• 2018

지역이 가진 특성과 자원을 그 지역의 핵심전략산업으로 연결하는 지역산업추진체계는 지역의 산업자원을 유기적 네트워크 형태로 확산시키고 있다. 충청권 항만 중에서 국제여객터미널과 부두가 완비된 곳은 서산 대산항이 유일하며 2018년 룽청시 룽옌항과 취항을 앞두고 있다. 본 연구는 지역산업발전을 위해 충청권에서 최초로 진행 중인 국제여객선 취항이 지역경제에 미치는 영향에 대해 2013년 지역산업연관표를 활용하여 충남지역 관광산업과 항만산업에 대한 파급효과를 분석하였고, 분석결과 관광산업과 관련하여 연간 생산유발 47,815백만원과 부가가치 유발 23,423백만원에 대한 효과가 있는 것으로 나타났으며, 항만산업에서는 컨테이너 화물 처리와 부가가치 수입을 합하여 12,567백만원의 효과가 나타나는 것으로 분석되었다. 현재 타 지역 한중 항로 국제여객선의 특성상 여객보다는 화물에 대한 의존도가 높은 편으로 서산에 국제여객선이 취항되면 우선 여객을 통한 관광에 따른 고용창출효과의 극대화를 위해 관광객 유치를 위한 전략적인 마케팅이 요구되며 수입화물과 수출화물의 균형을 유지하는 등 꾸준한 화물의 확보도 필요하다. 또한 더 큰 부가가치의 창출을 위해 다른 지역과의 신규항로 개설이나 취항횟수를 늘리는 등의 노력도 요구된다.

• 인터넷정보학회논문지
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• 제21권3호
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• pp.71-81
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• 2020

디지털바이오헬스케어 산업은 문재인 정부의 3대 중점육성산업의 하나이다. 본 연구의 목적은 디지털바이오헬스케어산업의 연관 산업에 대한 파급효과와 투자효과를 비교분석하는 것이다. 디지털바이오헬스케어산업의 연관산업에 대한 파급효과를 분석하는 것은 산업 및 기술개발 정책의 수립에 매우 중요하다. 연구방법은 첫째, 표준산업분류 상의 33개 산업을 재분류하여 35개 산업대분류표로 재작성하였다. 둘째, 산업연관표의 분석틀을 활용하여 각종 유발계수와 파급효과계수들을 재작성하였다. 셋째, 디지털바이오헬스케어산업의 생산, 투자, 부가가치, 일자리부문에서 연관산업에 대한 파급효과를 비교하였다. 넷째, 투자효과측면에서 자체산업과 연관 산업과의 효과를 비교하였다. 이 연구의 결과가 산업정책 및 기술개발정책 수립에 용이하게 활용되기를 기대한다.

• 자원ㆍ환경경제연구
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• 제24권1호
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• pp.109-139
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• 2015

현행 국가통계인 에너지밸런스 표는 우리나라 에너지 부문의 현황파악의 기초지표임에도 불구하고 IEA 기준의 에너지밸런스 표와 체계 및 수치상의 큰 차이가 있다는 선행연구를 근거로, 본 연구에서는 서로 다른 통계체계를 갖는 2009년 에너지경제연구원(KEEI) 기준의 에너지밸런스 표와 국제에너지기구(IEA) 기준의 에너지밸런스 표의 비교를 위한 기초적인 틀을 마련하고, 그 구체적인 차이를 백분율 값으로 비교 분석하여 보았다. 에너지원별, 세부 용도별로 그 구체적인 차이를 산정해 본 결과, 1차에너지공급과 에너지전환에서 에너지유가 32% 이상의 큰 차이가 나타났고, 최종에너지소비에서는 비에너지의 납사가 석유 화학에서 14.58%의 차이를 보이고 있는 등 최종에너지소비 기준으로 KEEI 에너지밸런스 통계가 IEA 통계에 비해 3.58% 크게 나타남을 확인하였다. 에너지통계는 이를 기반으로 하는 연구 및 정책 결정에 중요한 기초자료가 된다는 점에서 추가 연구와 개선을 위한 대책 마련이 필요해 보인다.

• 유통과학연구
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• 제12권2호
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• pp.105-112
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• 2014

Purpose - This research undertakes to understand the trade structures of both China and Japan to strengthen Sino-Japan economic cooperation and examines impediments to trade between the 2 countries to analyze causes which affect trade and to examine improvements in these areas to find out ways of trade expansion. Through this survey of a defined period of time, we can identify the structural factors of trade dependence in the relationship between China and Japan. Research design, data, methodology - The data were collected from Korea Traders Association, Korea Customs Office and UN Comtrade, from which whole table indexes are calculated by author. This research methodology uses trade related indexes to focus on analyzing comparative advantages based on time-series analysis statistics data (2000~2012), by using the analysis index of Trade Intensity Index (TII), Revealed Comparative Advantage Index (RCA) and Trade Specialization Index (TSI). Results - The export ratio for China against Japan was a little higher in 2000 at 2.867 and the export ratio for China against Japan was sustained in 2005. However, it diminished gradually and reached 1.263 in 2012. During the whole period of 2000~2012, the indexes were maintained without any significant change. However, they are still moving closer to -1. Especially, in 2012 it is the closest it has been to -1. Therefore, Japan has a comparative advantage toward export specialization. On the other hand, China has a comparative advantage toward import specialization. For the whole research period, all indexes were much smaller than 1, which means that China has comprehensively had a comparative disadvantage against Japan for the past 10 years when compared to other industries, even though it had improved in 2000. Conclusions - The summary of conclusions based on empirical analysis research are as follows: First, per the Trade Intensity Index of industries between the 2 countries, we can conclude that export ratio index is 2.867, based on the formula, in 2000, which means the export ratio of China against Japan is a little bit higher. Furthermore, the ratios of 2.259 and 1.263 are indicated in 2005 and 2012 respectively which mean the export ratio of China against Japan was maintained in 2005 but was diminishing gradually as the index is 1.263 in 2012. Second, per the Trade Specialization Index of the shipping industry between China and Japan, -0.379 is indicated in 2000, -0.368 in 2005 and -0.568 in 2012. Looking at the whole period of 2000~2012, the indexes were maintained without any significant change. However, they are still moving closer to -1. Especially, in 2012 it is the closest it has been to -1. Third, per the Revealed Comparative Advantage Index of the automobile industry between China and Japan, the RCA indexes in 2005 and 2012 are 0.246 and 0.306 respectively which are still far from 1 even though the index is improved compared to 2000's value of 0.0001. Therefore, the Chinese automobile industry is very much at a comparative disadvantage to that of the Japanese automobile industry.

• 대한영양사협회학술지
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• 제14권2호
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• pp.166-175
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• 2008

The effects of nutrition label education on the perception, nutrition knowledge, understanding and applicability of labeling for 81 5$^{th}$ grade students was assessed. Prior to the education, the students' purchasing behavior of processed food was assessed by self-administered questionnaires. The evaluation of subjects' perception and understanding on nutrition label was completed prior to and following four education sessions utilizing materials developed by Korea Food and Drug Administration and Korea Health Industry Development Institute. More than 90% and 15% of subjects purchased processed food weekly and daily, respectively. Considering the nutrition label became an important factor in food purchases following the education sessions. Perception of the value of nutrition label improved from 2.93 to 3.32, although the belief that nutrition labels contributed to the maintenance of good food intake was not significantly increased. The total nutrition knowledge score increased from 5.47 to 7.14 and understanding nutrients composition table was significantly improved (3.17 to 4.80). The results indicate that a school-based nutrition label education program might be an effective aid for adoption of healthier food choices by children.

• 대한가정학회지
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• 제48권9호
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• pp.125-136
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• 2010

The purpose of this study is the systematization of the contents analysis to develop school dietary education based on the government-published textbooks for elementary school students. The components of the content are divided into several categories that include a general perspective of the pages, illustrations, table of contents, introductory remarks, summary evaluation, and etc. This study carried out as basic fundamental research to propose a theoretical framework for the elementary school dietary education. We examined and analyzed the nature and characteristics, the educational goals, and the structural framework of the contents of the textbooks. We have developed a systematic structure with 4 large content elements for dietary education as foods & cooking, nutrition & health, dietary environment & consumption, and food culture & industry. This analysis will definitely play an important role in establishing a standard framework and the curriculum contents for school dietary education in elementary school.

• 한국수산과학회지
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• 제53권5호
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• pp.740-751
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• 2020

In the aquaculture industry, few studies are analyzing big data for intrinsic meaning. Fishcare Laboratory (www.fishcare.kr) diagnostic data from 2016-2018 was analyzed for scuticociliatosis (caused by Miamiensis avidus) outbreak patterns in cultured olive flounder Paralichthys olivaceus in Jeju, Korea. The scuticociliatosis monthly occurrence ratio is reported in the summary table after preparing and filtering the basic dataset model. Nonparametric test results suggest differences in the water temperature, body length, and weight between groups with and without scuticociliatosis. Data distribution visualization revealed that shorter body length and lighter weight increased the occurrence of scuticociliatosis. The association rule mining technique was applied to determine the primary clinical signs of mixed scuticociliatosis and bacterial infections. Venn diagrams were used to report clinical signs and suggest commonalities. These results may help diagnose and treat fish and provide a decision-making reference.