• The Journal of Fisheries Business Administration
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• v.42 no.1
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• pp.85-96
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• 2011

We have done the input-output analysis to see the over all impact of flounder industry of Jeju region on the domestic economy of Korea. To do the input-output analysis, we have constructed the data set for the input-output table by using the existing data set in the "2003 input- output table of Jeju regional area" published by the joint work of Jeju branch of Korea bank and the Jeju Development Institute, together with some raw data provided by Jejudo Marine Fish-Culture Cooperative. We have also produced input coefficient of flounder industry by making flounder industrial sector exogenous, separated from intermediate demand. To summarize our empirical results, the inducement effect of production, value added, and employment of Jeju flounder aquaculture industry are 300 billion won, 116 billion won and 1,800 people respectively. In conclusion, the results of this study suggest flounder industry of Jeju region contributes powerfully to not only Jeju economy but also all over the Korea economy.

• Journal of Korea Port Economic Association
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• v.38 no.3
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• pp.53-68
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• 2022

In this study, the economic value and economic ripple effect of the Jeju Inland Port redevelopment project were estimated. The economic value was estimated from the viewpoint of amenity, the value of non-market goods such as landscape improvement, environmental improvement, and recreation effects. As a result of the estimation, the population was divided into Jeju Island and other regions and the individual's willingness to pay was estimated to be 2,952.9 won in Jeju Island and 4,722.8 won in other regions. On the other hand, the economic ripple effect of the Jeju Inland Port redevelopment project was estimated during the project period and after the completion of the economic ripple effect was estimated. As a result of the estimation, the production inducement value was KRW 84,387 million, the value-added inducement effect was KRW 37,292 million, and the employment inducement value was 5,846 employment when the (direct employment + indirect employment) effect was combined. After the end of the project period, as of 2022, there were 518,000 foreign tourists, and the value-added inducing effect was estimated to be about 149,885 million won.

• The Korean Journal of Health Service Management
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• v.11 no.2
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• pp.55-64
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• 2017

Objectives : Recently, concerns about the smart healthcare industry has increased worldwide. This study estimates the economic effects of the smart healthcare industry by employing input-output analysis. Methods : In this study, $29{\times}29$ sector statistics were also used as the major research method for the industry. The main analysis tools of this study, thus, included a comparison of backward and forward-linkage effects and the inducement effects of the own-industry and other industries, as well as inducement coefficients, including production, value-added, employee's pay, operating surplus, production tax, and employment. Results : The results of the analysis show that the industry has an immense economic impact, affecting major macroeconomic factors including value-added and forward - linkage effects. Additionally, the inducement effects of the smart healthcare industry are significant compared to other industries in terms of production, employee's pay, operating surplus, production tax, and employment. Conclusions : The smart healthcare industry is a growth engines for national development, because it is the industry of high value-added services. This paper offers alternatives for efficient industrial policies.

• 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.

• Journal of Information Science Theory and Practice
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• v.10 no.spc
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• pp.66-75
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• 2022

The manufacturing industry is the foundation that drives economic growth, and manufacturing innovation is essential for sustainable growth advantage and the transition into a digital economy. Therefore, major countries actively support the field of simulations, which incorporate information and communication technologies into manufacturing, and announce various policies at the national level along with increasing investment. Simulation technology virtualizes product development processes to replace physical production and experimentation of products, dramatically reducing time and costs. In South Korea, the Korea Institute of Science and Technology Information (KISTI) has supported manufacturing companies for about 14 years by providing relevant technologies. This study uses the input-output table for the Bank of Korea to analyze the economic ripple effect. First, we identified the domestic industrial sector dealing with the supercomputing-based simulation industry. Then we analyzed its ripple effects by dividing them into the production inducement effect, value-added inducement effect, employment inducement effect, and forward/backward linkage effect. Consequently, when the supercomputing simulation budget of KISTI (28.3 billion won, 2007-2020) was set as an input coefficient, the analysis showed 45.1 billion won as the production inducement effect, 24.7 billion won as the value-added inducement effect, and 282 individuals per 1 billion won as the employment inducement effect. This study is significant in that it derived the effects of the inputs by analyzing the economic ripple effects of the projects of KISTI, which have been supporting South Korean manufacturing companies for the past 14 years with supercomputing-based simulations.

• 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.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.175-182
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• 2021

The purpose of this study is to establish the direction of industrial policy by comparing the employment inducement effect on the related industries of the digital bio-healthcare industry. The analysis data used the three-year input-output table measured by the Bank of Korea. First, the research method was rewritten into 7 major industries to compare statistical data by period. Second, the Bank of Korea's industry-related analysis methodology was utilized. Third, the weight was reflected and compared by employment, production, and investment sectors of the digital bio-healthcare industry. As a result of the analysis, first, the employment sector had a higher effect than the average of the entire industry, second, the production sector was low, and third, the investment sector required investment in the service sector. The conclusions drawn from the analysis showed that direct investment and continuous investment are required in the employment sector, the development of professional manpower is urgent, and direct investment and long-term investment are effective in the production sector.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.61-68
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• 2015

This study aims to estimate the economic effects of the simulation golf industry. Two steps are taken. Step 1 is to calculate the direct effect which includes input required to install the facility and consumer's fee to pay for the simulation golf, and the indirect effect which includes the introduction of the field golf course derived from simulation golf. Step 2 is to calculate the production, value added and employment inducement effect. As a result of this calculation, total production inducement effect is 3.6 trillion won, value-added inducement effect is calculated at about 1.66 trillion won, while employment inducement effect is 34.6 thousand people in 2011. This study is expected to contribute to providing a basis for the policy to support the simulation industry and for estimation of the economic effect in the different simulation industry such as the simulation baseball.

• The Journal of Fisheries Business Administration
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• v.51 no.4
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• pp.123-136
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• 2020

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.

• Journal of Forest and Environmental Science
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• v.30 no.1
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• pp.145-151
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• 2014

The study examines the feasibility of hosting the International Wood Industry EXPO as a part of the effort to establish Wood Industry Cluster in Jeollanam-do. The provisional EXPO period suggested by the study is 30 days between July 23 (Saturday) and August 21 (Sunday) 2016 and the proposed venues are Namdo International Education Center, Woodland, and Woodcraft Center, Jangheung-gun, Jeollanam-do, and so on. According to the study, it is calculated that the expected investment cost amounts to around 4.5 billion won and the number of total potential visitors reaches 1,627,478. The study also predicts that the EXPO generates various economic effects and outputs that can be quantified as following; a production inducement effect equivalent of 344.5 billion won, an income inducement effect of 77 billion won, an employment inducement effect corresponding to 3,899 jobs, a value-added inducement effect equivalent of 143 billion won, and an indirect tax inductive effect of 32 billion won. Then, emphasizing the need for the organizing committee that can play an important role in managing the overall EXPO events, the study, based on the figures, concludes that the International Wood Industry EXPO 2016 is to be promoted at the regional and national level.