• Journal of the Korean Society for Aviation and Aeronautics
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• v.14 no.3
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• pp.30-39
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• 2006

The purpose of this study is to analyze how much Air Transportation Industry contribute to national economy by measuring economic spreading effects of Air Transportation Industry on national economy. To achieve the purpose of the study, the study uses an Air Transportation Input-Output Table of year 2000 of korea. The results shows that Air Transportation Industry induce 274,530.8 billion won of national production, import inducement 13,7073.7 billion won, value-added 110,994.9 billion won, especially Air Transportation Industry shows that production inducement coefficient is 1.36803, import inducement coefficient is 0.60581, value-added coefficient is 0.45189, income inducement coefficient is 0.18599 and employment inducement coefficient is 0.00841.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.1
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• pp.72-80
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• 2020

The information security industry is increasing in importance and market size due to the development of the fourth industry such as artificial intelligence, IoT and etc. This paper was analyzed the impact of the increasing information security industry on the domestic economy by using the Input-Output table. It was classified industrial sectors into information security products and information security services industries, and then reclassified the Input-Output table into 35 industries. And it was estimated the production inducement coefficient, the value-added inducement coefficient, employment inducement coefficient, and etc. The production inducement coefficients of the information security product and service industry are each 1.571, 1.802, and the value-added inducement coefficients of them are each 0.632, 0.997, and the employment inducement coefficients of them are each 2.494, 7.361. Only the value-added inducement coefficient of the information security service industry is slightly higher than the total industry, and the remaining inducement coefficients are all lower than the total industry. In addition, the information security product industry has no the forward and backward linkage effect, and the information security service industry has no the backward linkage effect. But it has the forward linkage effect. As a result of analyzing the economic ripple effect of the information security industry, the production inducement amounted to 359.9 trillion won, value-added inducement amounted to 164.8 trillion won, and employment inducement amounted to 803 thousand people.

• Journal of Information Technology Services
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• v.13 no.3
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• pp.165-181
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• 2014

This study proposes the accurate labor inducement coefficient (employment inducement coefficient/hiring inducement coefficient) of Korea software industry by analyzing the inter-industry relation using the modified inter-industry table. To rewrite the inter-industry table of Korea, some previous studies related to the inter-industry analysis were reviewed and the key problems were identified. First, in the current inter-industry table published by the Bank of Korea, the output of software industry includes not only the pure software related output but also the output of non-software section due to the misclassification of the industry. This causes the output to become bigger than the actual output of software industry. Therefore, if the inter-industry table is not modified, the labor inducement coefficient would be overestimated too much. Second, during rewriting the inter-industry table, the output is changing. The inter-industry table is the table in the form of rows and columns, which records the transactions of goods and services among industries which are required to continue the activities of each industry. Accordingly, if only an output of a specific industry is changed, the reliability of the table would be degraded because the table is prepared based on the relations with other industries. This possibly causes the labor inducement coefficient to be over or underestimated. This study tries to correct these problems to get the more accurate labor inducement coefficient of the software industry. First, to get the output of the pure software section only, the data from the Korea Electronics Association (KEA) was used in the inter-industry table. Second, to prevent the difference in the outputs during rewriting the inter-industry table, the difference between the output in the current inter-industry table and the output from KEA data was identified and then it was defined as the non-software section output for the analysis. The followings are the labor inducement coefficient obtained when the output is divided into the pure software section (package software, and IT service) and non-software section. As of 2011, the employment inducement coefficients of pure software section, package software section and IT service of Korea were 8.616, 13.998, and 7.773 respectively while the labor inducement coefficients of pure software section, package software section and IT service of Korea were 7.979, 13.332, and 7.083, respectively.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.358-368
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• 2016

The kimchi industry is a high value-added industry, boosts the self-esteem of the people as a measure of a country's culture industry, and is one of the strategic industries to be fostered. However, the kimchi industry is struggling due to the lack of national consensus on the importance and value of the kimchi industry. Therefore, the purpose of this study was to analyze how much the kimchi industry contributes to the national economy by measuring economic effects of the kimchi industry on national economy. To achieve this purpose, the study used the kimchi industry Input-Output Table of year 2013 of korea. The results shows that kimchi industry induce 510,013 billion won of national production, especially the retail trade distribution industry shows that production inducement coefficient is 1.8418(row), 1.1760(column), Index of the power of dispersion is 0.9611, index of the sensitivity of dispersion is 0.6136, income inducement coefficient is 0.1820, tax inducement coefficient is 0.0084 and employment inducement coefficient is 0.003. With the help of information technology.

• 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.

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.147-155
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• 2013

The purpose of this study is to analyze how much performance industry contribute to national economy by measuring economic effects of performance industry. To achieve the purpose of the study, the study uses an performance industry(theater, music and other arts, 390 sectors) Input-Output Table of yaer 2009 of korea bank. The results shows that performance industry induce 391.6 trillion won in the national production, 65.1 trillion won in the income inducement, 16.3 trillion won in the tax inducement. Especially the performance industry shows that production inducement coefficient is 1,387, Index of the power of dispersion is 0.020, index of the sensitivity of dispersion is 0.025, value-added inducement coefficient is 0.662, income inducement coefficient is 0.455, tax inducement coefficient is 0.046 and employment inducement coefficient is 0.010.

• Journal of Broadcast Engineering
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• v.26 no.5
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• pp.575-582
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• 2021

This study would analyze the economic impact of the new financial input to the National Assembly FM Radio. Recently, with the 4th industrial revolution and the change in the new media paradigm, there are changes into multi-media and multi-channels, such as mobile, Internet, and OTT, etc. Reflecting these changing internal and external conditions, National Assembly Television, too, should introduce FM radio broadcasting so that the viewers can use the public services without spatial and temporal constraints. Thus, this study would conduct an analysis, estimating the budget required for investing the new government funding in the National Assembly FM Radio. As for the main analysis results, the coefficient of production inducement was 1.661; that of added value, 1.141; and that of employment inducement, 7.1. In the capital district, the effect on production inducement was 6.928 billion won; that on added value inducement, 4.758 billion won; and that on employment inducement, 28.4 persons. In addition, in the whole country, the effect on production inducement was 13.257 billion won; that on added value inducement, 9.106 billion won; and that on employment inducement, 49.7 persons.

• 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 Distribution Science
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• v.19 no.3
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• pp.25-34
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• 2021

Purpose: The purpose of this study is to analyze the economic ripple effect(ERE) of logistics industry by construction of Trans-Korea Railway (TKR) and present policy measures to minimize the economic loss of South Korea (SK). Research design, data and methodology: As the analysis method, exponential smoothing was used for demand forecasting, Input-Output analysis was used to estimate the economic ripple effect coefficient, and scenario analysis was used to an efficient way to invest in TKR to minimize SK's economic losses. Results: 1) the production(logistics fares) of TKR for 10 years after its completion is about 11.42 trillion won in positive relations, and 26.89 billion won in negative relations. 2) the ERE of SK in positive relations is 24.32 trillion won in production inducement effect, 8.1 trillion won in value-added inducement effect, 3.54 trillion won in import inducement effect, and 70,930 persons in employment inducement effect. But the ERE was insufficient in the negative relations. 3) SK's efficient investment method is providing materials and equipment by SK and building the TKR by North Korea in positive inter-Korea relations. Conclusions: For the successful operation of TKR, international cooperation, legalization and stable peace settlement on the Korean Peninsula are required.

• Culinary science and hospitality research
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• v.23 no.5
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• pp.169-177
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• 2017

Smoking bans at restaurants and bars have recently been introduced in Korea. Researchers and stakeholder are interested in the resulting changes in sales of restaurants and bars and their impact on overall national economy including employment. We examined the input-output tables (2013) issued by The Bank of Korea. The result showed that the production inducement coefficient was about 2.16; employment inducement coefficient was 13.1 for the restaurant and bar industry. The amount of inducement in the national production was calculated by 93,100 billion KRW. Employment inducement was calculated by 1,219,610 persons overall industries for a year. Assuming there comes a change (3%, 5%, 10%) in restaurant and bar production in consequence of the smoking bans, we computed following change in the national production and employment. The resulting changed in national production was 6,033 billion, 10,055 billion, and 20,110 billion KRW, respectively. The impact of employment overall industries was calculated 79,032, 131,720 and 263,441 persons, respectively.