• Journal of Korea Port Economic Association
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• v.25 no.3
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• pp.21-42
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• 2009

This paper analyses the industrial structure and economic effects of wide-regional zones port logistic industry. The analysis on regional economic impacts is conducted in two ways, among which one is the analysis on the effects of final demand of the industry on regional economy and the other is the analysis on the effects of the industry's production activity with using input-output analysis. Main results of this study are as follows: first, wide-regional zones port logistic industry has lower value-added rate relative to other industries. Busan-Ulsan regional zone has relatively higher value-added rate than other regional zones. Second, the economic effects of final demand and production activity of the industry are found to be the largest in Jeolla regional zone and the lowest in Sudo regional zone.

• Economic Analysis
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• v.26 no.4
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• pp.65-97
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• 2020

The purpose of this paper is to analyze the effects of exports on Korea's employment and to decompose driving factors of change in Korea's employment embodied in exports (EEX). This study uses a multi-regional input-output (MRIO) and structural decomposition analysis (SDA) for empirical analysis, and uses a dataset of World Input-Output Tables (WIOTs) and Socio-Economic Accounts (SEAs) from the World Input-Output Database (WIOD). The main findings of the empirical results are summarized as follows. First, Korea's EEX continues to increase and Korea's share of EEX compared to total employment shows an upward trend. However, Korea's employment inducement coefficient of value-added exports showed a downward trend during the 2000-2014 period. Second, final demand from three countries (China, the United States, and the Rest of the World (RoW)) has affected a significant portion of Korea's EEX. Finally, from the results of the SDA, the effect of changes in final demand was the most important driving factor for the increase in Korea's EEX. Based on the results of this empirical analysis, this study discusses useful policy implications that could increase domestic employment in Korea.

• Korean Journal of Social Welfare Studies
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• v.40 no.1
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• pp.261-296
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• 2009

I constructed the 2003 Korean 'social accounting matrix'(SAM) to analyze the multipliers of total demand for each economic activity. I find that the relative magnitude of the influence of the welfare policy to the national economy measured by input-output production multipliers tends to be underestimated compared to SAM multipliers. This is because the total demand multipliers of SAM include the private sector effects, which is not considered in the input-output model. The result also support that income inflows in public service areas including education, health and social work, generate gains in the relative income of households.

• International Area Studies Review
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• v.14 no.1
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• pp.33-53
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• 2010

This study has analysed riffle effect of shipbuilding business on regional economy in Jeonnam. For the analysis on connection to regional business, the most favored way to estimate economic effect of a certain industry in the nation and overseas, has been adopted. As a result of analysis, in case of 1,908,800 million won turnover in shipbuilding in Jeonnam, it would induce about 3,038,624 million won of production, about 940,656 million won of added value, about 13,361 employment and about 702,056 million won of income. Seeing production riffle effects of shipbuilding industry in Jeonnam on other businesses in the same area, it is found out to influence in order of on the primary industry metal products 458,784 million won, chemical products 128,250 million won, metal products 71,498 million won and on petrol and coal products 50,829 million won. Like this, shipbuilding industry is highly connected with metal and chemical industries, which make a cluster in eastern area of Jeonnam, suggesting that growth of shipbuilding industry in Jeonnam would maximize inter-industrial synergy effect in the region.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.1381-1384
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• 2006

본 연구는 21C 프론티어사업과 같이 상용화를 전제로 하는 기술개발사업의 파급효과 정량화를 위하여, 기술의 분석뿐이 아닌 기술개발로 인하여 산출되는 제품과 이를 수요하게 될 산업 간의 연관도의 작성을 제안한다. 그 사례로서 기술 개발의 실용화를 통하여 물관리 효율을 높이고 친환경적으로 신규 수자원을 개발하여 예상되고 있는 한국의 물부족 나아가서는 세계의 물문제의 해결을 목표로 하고 있는 수자원의 지속적 확보기술개발사업단의 기술을 분석한다. 기술개발사업의 최종목표가 상용화를 통하여 달성된다면 개발하고 있는 기술의 경제적 가치 분석 작업에는 당연히 최종수요자에 대한 고려가 있어야 할 것이다. 그러나 일반적으로 기술개발자는 기술의 개발 시 수요자에 대한 고려가 미흡하며, 수요자 역시 개발자에게 충분한 정보를 주지 못하고 있다. 이로 인하여 수많은 정부주도 기술개발사업에는 이른바 Valley of Death, 즉 기술은 개발되었으나 상용화의 벽을 넘지 못하고 사라져 가는 현상이 매우 빈번히 나타나고 있다. 이를 해결하기 위하여 개별기술평가에 기존의 기술연관도나 산업연관도와 달리 이들을 기술개발단계별로 연결하여주는 가칭 '기술-제품-산업연관도'의 작성을 제안한다. 이를 통하여 기술개발로 인하여 궁극적으로 산출되는 제품과 이들을 수요하는 산업들간의 연관관계를 확인할 수 있어 연구 포트폴리오 구성, 기술가치평가 및 공정분석기법의 적용범위 체계화, 수자원의 지속적 확보 기술의 기술이전 및 실용화를 촉진하기 위한 전략 마련에 도움을 줄 수 있을 것이다. 본 연구에서 제안하는 기술-제품-산업 연관도를 통해 수자원의 지속적 확보기술의 정량적 성과평가가 더욱 용이하여지며, 특히 수요자간의 의견수렴절차에서 매우 긴요하게 쓰일 수 있어, 기술개발사업의 타당성을 확보할 수 있으며, 개발기술의 상용화율 제고 및 잠재수요층 개발과 기업 투자자와 정부관계자의 이해도 중진을 통한 사업진행효율 증대를 기대할 수 있다. 또한 본 연구는 각종 개발기술의 파급효과 분석의 가이드라인으로 활용될 수 있으며 다른 기술분야 평가에도 객관적이고 타당성 있는 평가 틀로서 활용 가능할 것이다.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.1-10
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• 2013

The value added network service industry has played and important role in the telecommunication service industry and in the economic development of Korea. This study uses input-output analysis to investigate the role of value added network service sector in the Korean national economy for the period 2000, 2005, 2009, focusing on four topics in its application: production inducing effects, value-added inducing effect, employment-inducing effects by demand-driven model and supply shortage effect by supply-driven model, inflation impacts by the Leontief price model, finally analysing inter-industry linkage effects. The results of this study are as follows: production inducing effects analysis 2000 0.5253won to 2009 1.31314won, value-added inducing effects 0.25112won to 0.5337won employment inducing effects from 0.09749 to 0.21025 people grew, the supply shortage effect from 1.29003 to 2.12048won, price impact of Leontief price model was increased from 0.0022% to 0.00258%. Finally, inter-industry linkage effects, appeared to have the characteristics of final demand raw industrial.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.1
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• pp.70-77
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• 2021

This paper was reclassified industries related to the 4th industrial revolution into manufacturing, information and communication services, finance and insurance services, and science and technology services by comparing the industry association table with the Korean standard industry classification. And the economic ripple effect was analyzed by exogenizing the four sectors of the industry using a demand-driven model. The wholesale and retail and product brokerage services were measured to be large in the manufacturing, information communication services, and science technology service sector according as a result of analysis of the production inducement effect, added value inducement effect, and employment inducement effect. And the financial and insurance services were analyzed to be large in the financial and insurance services sector. The import inducement effect was analyzed to be the largest in all sectors of the fourth industry. As a result of the forward and backward linkage effect, it was confirmed that the manufacturing and the information communication services sector were the intermediate primary production type sensitive to economic fluctuations. Also it was confirmed that the financial and insurance services and the science technology services sector were the final primary production type.

• Environmental and Resource Economics Review
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• v.22 no.4
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• pp.817-841
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• 2013

The purpose of this study is to examine feasibility of the 'Master Plan of 2013 Slow Food Expo(2013 AsiO Gusto), Korea' and to analyze the following economic effect. To this end, we used existing data and statistics, and estimated the demand by means of survey for people's traveling and questionnaires for ordinary Koreans. For examining financial feasibility for hosting the Expo, BC ratio (Benefit-Cost Ratio) and NPV (Net Present Value) was applied. For estimating the economic effect following the Expo, the effect on all over the country and the Gyeong-gi province was analyzed, using the MRIO (Model of Regional Input-Output). Specifically, with the net effect of Expo, the economic feasibility test shows 1.04~2.15 BC ratio with 10% free admission, and 1.02~2.27 BC ratio in Finance analysis. Furthermore, the Expo feeds through Gyeong-gi (including Nam-yang-ku) regional economies with production induction effect, value-added induction effect, and employment induction effect. The amounts of regional effects are 373.6~738.7 billion won, 166.2~327.4 billion won, and 1,971~2,009 persons, respectively. Also, the "2013 Slow Food Expo, Korea" was analyzed profitable in general. Residents in Nam-yang-ju expects the Expo to bring vitalities into their hometown. The Expo is highly related to the positive economic effectiveness of Nam-yang-ju.

• Korean Journal of Construction Engineering and Management
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• v.16 no.4
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• pp.12-20
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• 2015

Construction industry has played a pivotal role in the national economy, but the crisis situation of a construction industry has been worse due to the lack of recognition of the contribution of a construction industry. In particular, the transport sector is responsible for a critical function in the movement of humans and material resources, and has a profound impact on national competitiveness and the peoples' welfare, which requires quantitative analysis. In this study, economic contribution and impact of the transportation sector are measured based on the input-output model. Road and railway facilities account for 1.03% and 0.165% of the total industry respectively, and consist of a final demand and total output. Although value-added inducing effect is small, production inducing effect and backward linkage effect has been high. The results in this study will be used as the basic information for validity of investment and policy decisions.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.299-311
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• 2021

The purpose of this study is to analyze the ripple effect of the Chinese education industry on the national economy by using the industry-related table of 2017 by the China Statistical Office to use it as policy data for revitalization of the Chinese education industry in the future. To achieve this purpose, 149 industries in the basic classification of the industry-related table were classified into 32 industries. Based on these classifications, by analyzing the production induction coefficient, sensitivity coefficient, influence coefficient, yield inducement coefficient, production tax induction coefficient, and labor induction coefficient, etc. The purpose of this study is to understand the relationship between different industries and to find out the economic impact of the Chinese education industry. The analysis results show that in 2017, the total production induction coefficient of China's education industry was 1.7188, the row total was 1.0626, the sensitivity coefficient was 0.01211, the influence coefficient was 0.01958, the income induction coefficient was 0.6667, the production tax induction coefficient was 0.035, and the final demand was 1 billion yuan. When this occurs, the labor induction coefficient shows a total of 31,254 persons (indirect 15,541 persons, direct 15,713 persons). Based on the analysis results, this study suggested the implications that government support, technology introduction and application of new operating models, policy regulations, and efficient supervision of the system and president are required for further development of the Chinese education industry.