In addition to simply providing quality food to the people, the fishery industry must be maintained and developed because it has various functions such as national food security, preservation of natural scenery, protection of national territory, and revitalization of the local economy. However, risk factors such as climate changes and environmental destruction have raised concerns about the sustainable development of the industry. Since these risk factors are becoming larger and more complex over time, it is time to conduct research related to the risk of the fishery industry. Therefore, the purpose of this study is to explore the risk factors facing the fisheries at this point, to analyze the economic ripple effect of regional fishery product supply shortage, and to draw implications. As a result of this study, the economic ripple effect of fishery product shortage per won was highest in Busan, followed by Gangwon, Gyeongnam, and Gyeongbuk. Considering the size of the local fishery industry, Busan had the highest supply shortage per 1% of local fisheries production. It is also necessary to prepare special risk management and countermeasures for these regions since the effect of supply shortage in regions such as Jeonnam, Gyeongnam, and Jeju is large compared to other regions.

The purpose of this study is to analyze the structure, status and economic ripple effects of the fisheries processing industry in Korea using interindustry analysis. Five input-output tables published over the past twenty years have been reclassified with a focus on the fisheries processing sector. Through these multi-period tables, we analyzed changes in the inducing effects in production, value added and employment as well as the backward-forward linkage effects. As a result of the analysis, it was found that the industrial scale of the fisheries processing industry is very small compared to other food manufacturing industries. The backward linkage effect of the fisheries processing industry was greater than that of other industries, but the forward linkage effect was rather low. This means that the fisheries processing industry can be greatly affected by industrial depression of the downstream industries such as fishery and aquaculture. Production and employment-inducing effects of the fisheries processing industry have shown a decreasing trend in recent years. This reflects the reality that intermediate inputs are gradually being replaced by imports from domestic production due to the expansion of market opening and the depletion of fishery resource. In the future, it is necessary to prepare a strategy to increase the value-added productivity of the fisheries processing sector and foster it as an export industry.

This study attempted to propose a method of determining a project implementation area according to the purpose of the Offshore Project for Fishery Stock Enhancement after analyzing the regional economic effects in advance targeting the candidate regions for the Offshore Project for Fishery Stock Enhancement. The main results of this study can be summarized as follows: first, in comparison with the overall effect of the Offshore Project for Fishery Stock Enhancement to 2013, the production inducement coefficient increased by 0.08 in the region, but decreased by 0.39 in other regions and by 0.33 in the whole country. The value-added inducement coefficient increased by 0.01 in the region and by 0.06 in other regions, increasing 0.27 for the whole country. In the case of the employment inducement coefficient, the number of workers in the region decreased by 9.48 and increased by 0.3 in other regions, resulting in a decrease of 9.1 people in the whole country. Second, depending on the purpose of the Offshore Project for Fishery Stock Enhancement, an aggregating indicator of economic effects within the region, an aggregating indicator of economic effects in other regions, and an aggregating indicator of economic effects across the country were prepared to be used to determine the priority of the project implementation region. There was a little difference between the 2013 and 2015 regional rankings according to the standardization method, indicating that the analysis results were somewhat consistent. In conclusion, the results of this study may contribute to determine the project implementation area according to the purpose of a specific project after analyzing the regional economic effect in advance.

본 연구는 4차 산업혁명의 핵심 산업으로 주목받고 있는 스마트홈 관련 산업의 국민경제적 파급효과를 정량적으로 분석하여 그 잠재성을 평가하였다. 이를 위해 선행연구들에 대한 문헌검토(literature review)를 통해 스마트홈 관련 산업을 제조업과 서비스업으로 분류하고 외생화하였다. 그리고 2018년 산업연관표를 이용하여 이들 산업이 유발하는 생산, 부가가치, 고용 및 취업효과와 산업간 연쇄효과를 분석하였다. 분석결과 스마트홈 제조업과 서비스업은 각 산업 영역에서 타 산업에 비해 높은 수준의 부가가치유발효과를 보였으며 스마트홈 산업 내부적으로는 제조업의 서비스업 생산 견인 기능이 상대적으로 더 크게 나타났 다. 또한 4차 산업혁명기술을 활용하는 산업답게 기술집약적인 산업과의 연관성이 높을 뿐만 아니라 스마트시티, 스마트카, 핀테크 등을 구현하기 위한 서비스 부문과도 깊이 연관되어 있음을 확인하였다. 한편 스마트홈 제조업은 후방파급효과가 전방파급효과에 비해 상대적으로 높은 최종 수요적 산업인 반면 스마트홈 서비스업은 전방파급효과가 후방파급효과에 비해 상대적으로 높게 나타나 중간재 산업으로서 타 산업으로의 공급 기능이 높은 산업임을 알 수 있었다.

The purpose of this study is to provide logical and policy justification for the feasibility and sustainability of the project through analysis of economic ripple effects of the fishing village new deal 300 project. To do this, we applied the industry-related analysis, which is mainly used to analyze the economic ripple effects, to the fishing village new deal 300 project. The industry association analysis classifies the detailed project of the preliminary plan for the selection of the business into the software business such as the hardware business and the capacity enhancement in the construction field and analyzes the economic ripple effect through the inter-industry association. As a result, it is expected that the fishing village new deal 300 project will have a positive economic impact. When the total investment of 3 trillion won is invested in the project, it is estimated that the production inducement effect and the value added effect are 5,545.3 billion won and 2,102.7 billion won, respectively. In addition, 62,005 get job inducements, where 10,952 employment inducements were associated with job creation. The analysis of the above impacts seems to have secured the logical justification for the implementation of the fishing village new deal 300 project.

The private sector is currently reviewing the feasibility of the project or deciding economic policies by analyzing the economic ripple effects. However, the arms acquisition project focuses on the need for the national defense weapons system by analyzing the costs and the effectiveness of the analysis and reviewing the necessity and feasibility of the project. In order to analyze the economic ripple effects, KB (the Bank of Korea) prepares and publishes an analysis table of industrial associations in a given unit. IAAR (the industrial association analysis report) is difficult to apply directly to the defense weapons system. Therefore, research on the economic ripple effects applicable to the defense arms procurement project was needed. In this study, we propose the generic methodology for estimating economical and technical ripple effects resulted in acquiring new weapon systems. Based on the analysis of inter-industrial relations, economical ripple effects are estimated with production inducing effects, value-induced effects, employment-induced effects and export-induced effects. Also, the technological ripple effects are estimated with technological intensity represented by investment cost in research and development. To show the validity of proposed methodology, a case study of acquiring new weapon systems such as GR (guided rocket), destroyer, and helicopter is accomplished. From the case study, it is concluded that these economical & technological ripple effects can be used as a reference to decision making in the course of acquiring major future defense weapons systems.

본 논문은 한국의 연구개발투자가 제조업구분에 따른 파급효과들을 산업연관분석을 이용하여 분석하고 있다. 연구 방법은 2010∼2014년 국내 산업연관표 상에서 연구개발투자 부문을 외생화하고, 경제협력개발기구(OECD)의 기술수준 분류표에 입각하여 기술수준별로 제조업을 분류하여 연구개발투자가 미치는 생산유발효과와 부가가치유발효과를 분석하였다. 분석결과, 연구개발투자의 기술수준별 제조업 구분에 따른 생산유발효과는 중고기술과 중저기술에 속한 제조업에서 높은 것으로 나타났으며, 부가가치유발효과 역시 중고기술 제조업에서 높은 것으로 나타났다. 반면 연구개발투자가 가장 많은 고기술제조업에서 생산유발효과와 부가가치유발효과가 상기 2부문보다 낮은 것으로 분석되었다. 이러한 결과들은 한국 제조업이 연구개발투자를 통해 기술수준의 제고를 달성하고 이를 산업구조의 고도화로 이어간다는 품질사다리론과 연계되지 않았음을 의미한다. 이러한 분석결과로부터 한국의 연구개발투자가 고기술제조업의 생산유발과 부가가치효과의 증대를 위해 구조조정이 필요하다는 시사점을 얻었다. 본 논문은 산업연관표의 구조적 특성으로 인해 연구개발투자의 시차를 고려하지 못한 한계를 안고 있다.

본 논문에서는 한국은행에서 발표한 4년(2010-2013) 동안의 산업연관표로부터 해양환경산업의 시장규모 및 부가가치액을 추계하여 국민경제적 지위를 따져보고, 산업연관분석을 적용하여 해양환경산업의 경제적 파급효과를 분석하였다. 해양환경산업의 시장규모를 추계한 결과, 총 산출액은 2010년 1조 3,406억원에서 2013년 1조 9,723억원으로 증가하였으며, 총 산출액 전체에서 차지하는 비중 또한 0.04%에서 0.05%로 증가하였다. 부가가치액은 2010년 6,185억원에서 2013년 8,415억원으로 증가하였으며, 국내총생산에서 해양환경산업의 부가가치가 차지하는 비중은 0.05%에서 0.06%로 증가하였다. 또한 수요유도형 모형을 이용하여 경제적 파급효과를 분석한 결과, 해양환경산업에서의 1원 생산 또는 투자가 국민경제 전체에 야기하는 생산유발효과는 2010년 1.8845원에서 2013년 1.8115원으로 소폭 감소하였다. 해양환경산업에서의 1원 생산 또는 투자로 발생하는 부가가치 유발효과는 2010년 0.7680원에서 2013년 0.7063원으로 감소하였다. 해양환경산업에서의 10억원 생산 또는 투자의 취업유발효과는 2010년 10.17명에서 2013년 9.18명으로 감소하였다. 요컨대, 해양환경산업의 산출액 및 부가가치는 증가 추세를 보이고 있지만, 경제적 파급효과의 원단위는 감소 추세를 보였다.

The purpose of this study is to find out the economic impacts of the CASSAVA project, IPM project, Post-Harvest project, and RICE project among 12 projects that are being worked on by the Asian Food & Agriculture Cooperation Initiative(AFACI) established in 2009. Reliable data such as FAO STAT etc. was utilized for the analysis on the economic impacts of each project and the data of an investigation on principal investigators of the nation who participate in each project was used for the analysis of the additional necessary information. According to the economic impacts analysis result, the economic impacts will occur and can be measured as an economic costs as follows: a total of $1,187,404 in Thailand for the next 19 years through the CASSAVA project, $2,358,299 in Indonesia for the next 18 years through the Post-Harvest project, $62,451,317 in Vietnam for the next 13 years through the Post- Harvest project and $60,629,555 in Nepal for the next 13 years through the RICE project. The AFACI project is a small project that annually supports each country that participates each project with approximately $ 10,000. Despite the small-scale project, the estimated result of economic impacts showed that great economic impacts occurred for its scale of the support. Thus, it is deemed that a search for ongoing methods that contribute to the role expansion of Korea and the agricultural development of the recipient country will be needed through the expansion and complementation of a low-cost and high efficiency Official Development Assistance(ODA) such as the AFACI project.

창조경제는 새정부 출범과 함께 제시된 새로운 경제발전의 패러다임이다. 정 부가 창조경제 정책을 추진한지 3년째를 맞이하고 있으나 창조경제의 규모와 추진 성과에 대한 실감형 분석체계는 부족한 편이다. 이에 본 연구에서는 창조경제 정책 추진의 경제적 파급효과를 정량적으로 추정하기 위한 새로운 방법을 제안한다. 먼저 국내외 창조경제 문헌 검토를 통해 문화⋅콘텐츠, SW 산업 등 외국에서 정의되었던 창조경제의 범위를 협의의 창 조산업군으로 정의하고, 우리 정부에서 제시한 고기술⋅첨단제조업, 과학기술서비스업 등을 추가적으로 포괄하여 광의의 창조산업군을 정의하였다. 다음으로 각 산업군 별로 창조경제 의 핵심 동인 중 하나인 ICT기반 혁신에 따른 투입-산출의 연도별 증감액을 추정하고 산업 연관분석을 통해 창조산업 내 ICT 기반 혁신이 전체 산업에 미치는 경제적 파급효과를 추 정하였다. 분석 결과 2013년 이후 전반적인 경기 하락세에서도 광의의 창조산업에서의 ICT기반 혁 신이 전 산업의 생산, 부가가치 및 고용유발효과의 상승세를 견인하고 있음을 확인할 수 있 었다. 그러나 협의의 창조산업군에서는 ICT기반 혁신의 경제적 파급효과의 증가가 미미한 것을 확인하였다. 본 연구는 크게 두 가지 관점에서 이론적, 정책적 의의가 있다. 첫째로 기 존의 창조경제 성과지표가 투입 역량 중심으로 되어 있어 가시적 효과를 산정하기 어려운 상 황에서 산업연관분석을 통한 산출 중심의 성과를 추정하는 새로운 방법론적 토대를 제공하 였다. 두 번째로 기존의 창조산업 파급효과가 단순히 해당 산업군의 규모 추정에 그쳐 추상 적이고 모호하였다면, 본 분석에서는 창조산업의 전체 규모 중에서 ICT기반 혁신활동이 설 명하는 파급효과를 구체적으로 산출하여 효과 산정의 타당성과 신뢰성을 높였다는 점이다.

The economic effects of sewage and wastewater treatment service (SWTS) sector on other sectors have been rarely investigated in the literature. This paper attempts to apply an inter-industry analysis to looking into the economic effects of the SWTS sector. To this end, the most recently published 2012 input-output table is used here. In particular, the SWTS sector is specified as exogeneous to identify the economic effects of the SWTS sector on other sectors. Production-inducing effect, value-added creation effect, and employment-inducing effect are quantified based on demand-driven model. Supply shortage effect and price pervasive effect are also analyzed employing supply-driven model and Leontief price model, respectively. The results show that production-inducing effect and value-added creation effect of a unit of investment or production in SWTS sector are estimated to be 1.7076 and 0.7392, respectively. The employment-inducing effect of one billion of investment or production in the SWTS sector is computed to be 11.0498 persons. The shortage effect of the SWTS sector amounts to 0.8417 won. The overall price effect of the 10% increase in the price of SWTS sector is calculated to be 0.0115%. This quantitative information can be utilized in predicting the economic effects of the SWTS sector-related activities or policy-making.

This paper to empirical examine the date from 2007 to 2010 China's ODI in 103 countries, found that a lot of overseas theory and experience hypotheses to explain China's ODI is not suitable for a large part. China's outward FDI to the investing countries are the main factors that affect the size and potential of the markets, the open level of market, such as the degree of technological development. But China's enterprises towards the presence of exchange and other financial risks that are not realize. The average wage level, the exchange rate of the traditional FDI determinants influenced the theory and existing research findings conflicting results were obtained. The strategic implications for Korean government and enterprises are as follow: First, China to take advantage of new investment source need to target strategies. Second, the extension of Korea's market should be expanded. Third, the investment environment should be open for the Chinese capital in Korea. Fourth, the response to M&A of China's enterprises should be prepared in advance. Fifth, we should be prepared that compete with foreign manufactured products by China's enterprises.

SW industry is important at entire industry in Korea and also one of new growth engine industry. This paper deals with the economic effect of SW industry through input-output analysis. We reconstruct the SW industry by extracting and combining SW portion from other industries of the inter-industry relation table. We obtain that production inducement coefficients, value added inducement coefficients, employment inducement coefficients, and job position inducement coefficients are higher than average inducement coefficients of all industries.

Technical Barriers to International Trade are emerging as main non-tariff barriers and so MRA is getting widespread. In addition, a significant amount in international trade occurs as intra-industry trade instead of inter-industry trade. Based on the cost reduction of testing and certification except many other effects of MRA, we compute the economic impact of MRA quantitatively. First, we use a Cournot model for intra-industry trade to compute the effect of trade balance caused by the cost reduction of testing and certification. Second, we estimate the effect on production inducement, value added inducement and employment inducement via input-output analysis.

Incheon Port has many advantages for import of log and timber for furniture. More than 50% of lumber which was imported is through Incheon Port. However, most companies move and set up their business by taking lease of workshop. Because of expensive cost of transportation, it is suggested to construct a lumber Industrial district in the North Port in Incheon. By researching the national plans about the North Port and Incheon Ports, an adequate acquaintance of lumber industry in Incheon has been realized. ills study conducted the economic effect analysis for lumber industry clustering and the necessity of cluster composition is derived. Then effectiveness analysis for lumber industry cluster composition is sequentially operated.