• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.216-230
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• 2018

In this paper, we analyze the economic ripple effects of technology related to the unmanned aerial vehicle industry by applying industry association analysis. Specifically, the effects of employment creation, value added inducement, sensitivity coefficient, and influence coefficient can be calculated, and implications for the analysis result are presented. As a result, the employment inducement effect was confirmed to be 10.017 persons per 1 billion won of investment. The value added inducement effect was much higher than the other manufacturing industry average (employment inducement coefficient: 2.285, value added inducement coefficient: 0.581) when the 1 won budget was added, resulting in 0.9771 won added value. In the unmanned aerial vehicle industry, the coefficient of sensitivity, which means the front chain effect, is 0.7870, which is lower than the manufacturing average (sensitivity coefficient 1.125), and the coefficient of influence, which means the backward chain effect, is 1.161, which is higher than the manufacturing average (influence coefficient: 1.116). Therefore, it is classified as the final demand manufacturing industry. This means that the unmanned aerial vehicle industry is an industry that is less affected by economic fluctuations and can be interpreted as an industry with a greater economic impact than other sectors. Based on these data, it can be used to establish the R&D investment direction policy of the unmanned aerospace industry.

• Journal of the Korean Regional Science Association
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• v.40 no.3
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• pp.63-74
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• 2024

Ths study aims to analyze the economic impact of smart city construction project and operation project on the regions. The study used case studies to analyze the economic impact of smart city construction projects such as Busan EDC and Sejong 5-1, and operation projects such as Jeonju and Daejeon smart city plans. The study used a regional input-output model as its analysis model. The data used for the analysis was the 2015 regional input-output table published by the Bank of Korea. The industry was reclassified from 83 mid-category industries into 8 industries. The analysis results are summarized as follows. First, the construction project of smart cities was found to have a spillover effect (production inducement effect) not only in Seoul and Gyeonggi Province, but also in the surrounding areas of the target regions such as Gyeongnam (Busan EDC) and Chungnam (Sejong 5-1). Second, smart city operation projects had the greatest impact (production, value-added and employment) on the target areas (Daejeon and Jeonju), but the proportion of economic impact in regions other than Seoul and Gyeonggi was low. Third, the ripple effect was more concentrated in the Seoul and Gyeonggi regions when the smart city operation project was promoted rather than the smart city construction project. This is due to the concentration of major smart city-related companies, industrial clusters, and research and development infrastructure in the Seoul and Gyeonggi regions.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.4
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• pp.771-778
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• 2014

In this study, we have measured the effects on production inducement, added value inducement, employment inducement and backward and forward linkage regarding the knowledge service industry in Korea. It turns out that the knowledge service industry greatly contributes to increase of added value and employment creation while highly withholds to effect on production inducement and backward and forward linkage effects. In recent, government seeks out new growth driver out of the knowledge service industry. We have found the fact that its direction should be 'production growth of the knowledge service industry' through this study.

• Journal of Distribution Science
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• v.19 no.4
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• pp.37-51
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• 2021

Purpose: The purpose of this study is to provide a basis for establishing a policy to promote the export of Korean goods through the economic ripple effect of the Korean Wave. From 2001 to 2017, cultural goods exports and consumer goods exports data to 102 countries were used to estimate the effect of cultural goods exports on domestic consumer goods exports. Research design, data and methodology: Based on the Gravity Model, we analyzed the effects of domestic film, publishing, music, broadcasting, clothing, cosmetics, processed food, IT products, and automobiles on the export of consumer goods. Results: The empirical analysis estimated the trade creation effect of exports of cultural products driving exports of consumer goods and found that a 1% increase in exports of cultural products increased 0.136% in exports of consumer goods. Conclusions: The average rate of change in consumer goods exports due to changes in cultural product exports was 22.44, which could be interpreted as an increase of $2,244 in exports of consumer goods such as IT products, cosmetics, clothing, and processed foods. According to the analysis of export-driven effects of each consumer item by dividing cultural products by sector, the effects of export of processed foods, clothing, cosmetics, IT products, and film, music, publishing exports were statistically significant.

• 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.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.325-338
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• 2018

This study investigated the effects of $6^{th}$ industry, which can be developed in various forms, on the Korean economy by classifying it as distribution and tourism type, and compared the difference between industrial characteristics and economic effect by $6^{th}$ industry type. To this end, the effects of production inducing effects, value added inducing effects, supply shortage effects and price ripple were analyzed using domestic input-output table to the latest published in 2014. As a result of the analysis, in the case of production inducing effect, the tourism in the $6^{th}$ industry as a whole was 0.4094KRW, the distribution was 0.4673KRW, and the tourism was 0.4715KRW. The value added inducing effect was 0.1527KRW in the $6^{th}$ industry, 0.1738KRW in distribution and 0.1696KRW in tourism. In the case of supply shortage effect, distribution effect was larger than that of production inducing effect and value added inducing effect, which was 0.5254KRW in the $6^{th}$ industry, 0.6704KRW in distribution, and 0.5070KRW in tourism. Finally, the effect of price ripple was 0.0959% for the $6^{th}$ industry, 0.0981% for distribution, and 0.0617% for tourism, which was lower than other $6^{th}$ industry types.

• Journal of Korea Port Economic Association
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• v.24 no.2
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• pp.193-208
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• 2008

This study aims to analyse the ripple effect of Physical distribution service industry on national economy using input-output tables and present the results as data for political plans in this field. For the analysis, it uses input-output tables developed and published by Sank of Korea in 1998, 2000, and 2003. To sum up the results, production inducement effects are 1757 for railroad transport, 1688 for road transport and 1617 for loading. Import inducement effects of assistant services, loading, storage, warehouse and other transport-related services are low while the effects of water and air transport are high as follows: 0.679 and 0.558 respectively. Then, added-value inducement effects are presented as follows: 0.841 for railway transport, 0.828 for road transport, 0.962 for transport assistant service, 0.939 for loading, 0.938 for storage and warehouse, and 0.942 for other transport-related services. Sensitivity dispersion index of road transport is high while that of water transport, storage and warehouse is low. And influence coefficient of railway and road transport is high while that of water and air transport is low. In respect to the employment structure of Physical distribution service industry, 744,000 are employed for road transport industry, which is the largest number, 19,000 for air transport and 20,000 for assistant services, which is the least number.

• Archives of design research
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• v.19 no.4 s.66
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• pp.163-174
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• 2006

The purpose this study is to discuss effects of product design innovations on small and medium enterprises' business accomplishments and further on raising those enterprises' international competitiveness through reviewing previous studies that quantitatively analyzed economic and technological performance and ripple effects of products developed through design innovations. To determine how much design innovations are influential and contributing to small and medium enterprises' international competitiveness, then, the researcher took most advantage of statistical data from quantitative analyses of business accomplishments brought by design innovation development and investment, or economic effects like sales and exports increase. Results of the study can be summarized as follows. First, product design innovations by small and medium enterprises directly contribute to creating plenty of technological and economical achievements, for example, improved product quality, increased product profitability, the effect of product differentiation, improved price competitiveness and increased business sales and exports. Second, technological and economic achievements brought by product design innovations can directly lead to ripple effects like accumulating related knowledge and know-hows, strengthening the competitiveness of products, improving corporate image, increasing business sales and net profit, and meeting many different consumer requirements. Third, technological and economic achievements and ripple effects brought by product design innovations all become very important factors and sources on which small and medium enterprises strengthen their international competitiveness in world markets and maintain their sustainable competitive advantage. Fourth, business accomplishments or economic effects brought by design innovations can be quantitatively measured and analyzed with statistical data. Additional data from the moves can help understand and express the very value or nature of design in a quantitative way. This study is significant in that its results was made based on statistical data from empirical, objective measurements and quantification. The researcher hopes that the study contributes to promoting design innovations by small and medium enterprises and helps CEOs of those businesses better understand the very value and nature of design.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.7
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• pp.375-383
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• 2018

This study was carried out to grasp the economic effects of the social welfare foundation by establishing and operating it. For this purpose, the effects of the social welfare law of Daegu Metropolitan City on the regional economy were analyzed using the input-output analysis model. As a result, the effects of GDP was 43,445 billion won, the total value-added effect was 1,940 billion won, and the total employment inducement effect was 37,411. Based on these results, the future direction of the social welfare corporation is suggested as follows. First, it is necessary to shift the perception of consumer-oriented welfare toward welfare that contributes to the activation of the local economy. Second, efforts should be made to continuously expand employment linked to social welfare services, to create an environment where jobs can be created from a long-term perspective, and to establish a separate support system. Third, the value-added created by the social welfare foundation should be newly recognized and sought to be expanded in various fields. Fourth, efforts should be made to secure the legitimacy of social service provision and ensure accountability by appropriately promoting the economic ripple effects of social welfare foundation to the local community.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.3
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• pp.45-52
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• 2010

The relationship between climate changes and transportation could be separated by two approaches. One of methods was to find how climate changes affected transportation, and the other way was how transportation affected climate changes. In this study, we reported from the former standpoint, how climate changes affected transportation fields. When there is a lot of snowfall in Seoul, it starts ripple effect through the travel patterns. They can be explained by travel time and operating cost. The travel costs were calculated in this paper for analysing the effect of disbenefit by climate changes. Snow Melting System was also studied for relieving negative influences under the unpredictable weather condition. As a result, the system was effective for minimizing disbenefit by climate changes.