• The Journal of Fisheries Business Administration
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• v.54 no.3
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• pp.45-67
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• 2023

The purpose of this study is to construct a regional-sector-fishery-offshore and inshore fishery competitiveness index, examine the types and changes of competitiveness, and derive implications by processing data of the Survey on the Current Status of Offshore and Inshore Fishery from 2013 to 2020 for this study. The main results of this study can be summarized as follows. First, considering the competitiveness of offshore and inshore fishery by region and year, Jeonnam, Jeju, and Incheon were relatively competitive. Second, considering the competitiveness of inshore fishery by region and year, we found that Jeonnam, Chungnam, Jeonbuk, and Jeju were relatively competitive. Third, looking at the types of competitiveness based on the competitiveness index in the management sector of offshore and inshore fisheries by region and year, Ulsan, Jeonnam, and Gyeongbuk were relatively competitive between 2014 and 2020. Fourth, Jeonnam and Jeju were relatively competitive between 2014 and 2020 based on the competitiveness index in the fishing sector of offshore and inshore fisheries by region and year. Fifth, we found that Jeonnam, Jeju, and Chungnam were relatively strong in the competitiveness of offshore and inshore fishery, combining the offshore and inshore fishery indexes by region and year. The results of this study have some limitation on outlier treatment, grade assignment, and weight for aggregation, so research considering these needs to be done in the future. In conclusion, the results of this study which were derived objectively and scientifically in the era of the 4th industrial revolution, when evidence-based decision-making was becoming critical, are expected to help the central or local governments determine the priority of support projects or investments.

• International Commerce and Information Review
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• v.17 no.3
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• pp.93-114
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• 2015

In this study, the national competitiveness of Korean and Chinese medical device industry was analyzed through RCA index, MCA index, and TSI index in order to draw the export specialized items possessing the national competitiveness of Korea in Chinese market. The drawn national competitiveness index was grouped and the change progress was examined by years. Korea should analyze the tendency of Chinese medical device market, confirm our market share in the Chinese market, apprehend the competitive superiority, and draw and excavate the specialized export item in order to strengthen the competitiveness of Korean medical device in the Chinese market.

• Korean Journal of Agricultural Science
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• v.45 no.4
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• pp.871-878
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• 2018

The government of Gyeongbuk in Korea increased the financial input in the agricultural sector by 43% from 2008 through 2012. However, the productivity of the agricultural sector in Gyeongbuk rose only about 3.6% during the same period. This study evaluated the agricultural competitiveness of each city or county in Gyeongbuk using six evaluation indices (scale, productivity, finance input, location quotient, technical education, and total) and investigated the relationship between the indices and total values of agricultural productions. The results show that Sangju, Gyeongju, Andong, Uiseong, and Seongju have high competitiveness for the scale index. For the productivity index, Gimcheon, Mungyeong, Ulleung, Yeongju, and Seongju were highly evaluated. For the location quotient index, Yeongcheon, Uiseong, Cheongdo, Seongju, and Sangju have high competitiveness. Uiseong, Yeongdeok, Cheongsong, Gunwi, and Yeongyang were highly evaluated for the agricultural finance input index. For the agricultural technical education index, Chilgok, Sangju, Mungyeong, Uiseong, and Gyeongju have high competitiveness. Finally, Sangju, Euiseong, Yeongcheon, Gyeongju, and Andong were highly evaluated for the total competitive index, while Yeongdeok, Yeongyang, Goryeong, Uljin, and Cheongsong have a low competitiveness for the total competitive index. This study also found that out of five indices, scale, location quotient, and technical education indices have a positive and statistically significant effect on the total values of agricultural production. However, we did not find any statistically significant effect of the productivity and finance input indices on the total values of agricultural production. Hence, we can conclude that the government should focus their agricultural policy on scale, location quotient and education to improve total agricultural production.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.283-293
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• 2022

One of the important areas of state policy in the socio-economic and cultural development of the country is cultural diplomacy. It contributes to the information dissemination about the country, strengthens interstate relations, and forms a positive image. Through cultural diplomacy, we achieve a positive perception of the world community of the country, determined by its place in the modern system of international relations. The aim of the study is a comparative analysis of cultural diplomacy opportunities for sustainable development at different levels of public relations, as well as the impact of cultural diplomacy opportunities on the indicators of the Global Sustainable Competitiveness Index and the Global Sustainable Development Index. Regarding the results of the research on the impact of cultural diplomacy opportunities on the indicators of the Global Index of Sustainable Competitiveness and the Global Index of Sustainable Development, four groups are identified among the countries of the European Union: countries with a very high level of sustainable competitiveness and sustainable development; countries with a high level of sustainable competitiveness and sustainable development; countries with low levels of sustainable competitiveness and sustainable development.

• International Area Studies Review
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• v.15 no.3
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• pp.285-306
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• 2011

This paper analyzed the effects the regional competitiveness index on the characteristics of the regional growth. This study divides the regions in the US based on the static and dynamic standard of income for the characteristics of the regional growth. The results of the analysis are as follows. First some regions such as Alaska, Connecticut, Maryland, Massachusetts, Virginia, Washington and Wyoming have higher levels of SCI and both the rate of growth and per capita income than the national average. These are considered prosperous regions based on their high level of SCI. Second, in regards to the relation between the income level and regional competitiveness index for the regional growth, the variables such as human resource, science technology, business incubation, openness, safety and environmental policy are significant. Third, infrastructure, human resource, science technology and openness are the significant variables concerning the relation between the rate of income growth and regional competitiveness index for the regional growth.

• Journal of Information Technology Services
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• v.13 no.4
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• pp.79-91
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• 2014

The purpose of this study is to analyze the status and the competitiveness improvement of game contents industry comparing to relative LQ index of the no. of character company, the no. of employee and the amount of revenue of 2011, 2012, and 2013 between including Metro area and regional blocks(kangwon, chungchung, daekung, honam, dongnam and jeju region. The results of this research are as follows. In case including metro regional analysis, no. of employee suggested Metro and Chungchung have high competitiveness in during the 3 years. And in case of no. of game company suggested honam, dongnam and jeju area have high competitiveness between 2012 and 2013. The amount of revenue of game industry indicated the only Metro area have over LQ 1.0 which relative higher competitiveness than the other culture contents industry. But in case of except of Metro, no. of game company indicated honam, jeju have relative high competitiveness over LQ 1.0 and the no. of employee indicated kangwon, chungchung, honam and jeju showed relative competitiveness during 3 years. The amount of revenue of game industry indicated kangwon, chungchung and honam suggested high competitiveness. Honam area have strong competitiveness among three category by regional longitudinal analysis. Kangwon and jeju area suggested 2nd strong regional competitiveness. The main competitiveness of game industry were well established among national industry cluster.

• The Journal of Information Systems
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• v.28 no.3
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• pp.141-158
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• 2019

Purpose Artificial Intelligence (AI) is a core technology, leading the 4th industrial revolution. This study aims to diagnose the Korean's national competitiveness for AI technologies through patent analyses. Design/methodology/approach In this study, KIWEE and Derwent Innovation databases were used as data source of patents. we extracted 10,510 AI patents data with keywords and classified them into 15 subcategories of AI technology. We executed patent analyses for activity index, patent intensity index, technology strength, and patent family size and diagnosed Korea's national competitiveness in AI industry. Findings The results showed that Korea is less competitive than the United States and Japan in AI industry. However, patent amount has increased since 2010, which is encouraging result. This study has implication on the need for human and R&D investment in AI industry.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.55-68
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• 2014

In this study, we performed an empirical research on how cultural power affects soft power as one of the elements of National Power. To fully exert the force of cultural power, appropriate level of "resources for power" need to be disseminated into cultural elements. Utilization of these resources need to appropriately developed and produced in quality and quantity when needed. This activity should be ensured with "composite support competence"; which is the combination of support organizations and their potentials. Indicators of cultural power includes society favorability rating, cultural favorability rating, E&D industry competitiveness index, and T&T competitiveness index. According to analysis of cultural power by each country, cultural industry (E&D) competitiveness index and travel and tourism (T&T) competitiveness index shows relatively high correlation. This research aims to analyze the "cultural power as soft power" of South Korea, China and US, and how they are different and how their resources of power are represented in their E&D and T&T competitiveness.

• Korea Trade Review
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• v.46 no.2
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• pp.141-160
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• 2021

The scale of global FDI has been decreasing since 2016 due to the ongoing US-China trade dispute, the strengthening of FDI inflow screening regulations with concern over strategic technology leaks, and the spread of reshoring trends due to the reinforcement of national preferences. Eventually, the competition to attract FDI between countries is expected to become more intense. Therefore, in order to attract high-quality FDI for Korea that will contribute to the development of the national economy, it is pressing to evaluate and improve the domestic FDI attraction environment. This study aims to analyze which areas of Korea's economic and non-economic environments need improvement for gaining advantage amid the fierce competition to attract FDI between countries, by the relative comparison between Korea and the U.S., and based on the ranking indicated in key FDI attractiveness indices. As a result, improvement is needed in the following areas. First, according to IMD's "World Competitiveness Ranking 2020," Korea was inferior to the US in terms of business efficiency, productivity, finance and business legislation in terms of government efficiency. Second, according to INSEAD's "Global Talent Competitiveness Index 2020," Korea was inferior to the US in terms of internal openness, external openness, employability, lifelong learning, access to growth opportunity, and business and labor landscapes. Third, according to WEF's "Global Competitiveness Index 2019", Korea was inferior to the US in terms of product market, labor market, business dynamism and workforce skills.

• Journal of the Korean Regional Science Association
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• v.33 no.4
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• pp.3-17
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• 2017

This study ranks by developing an urban competitiveness index of major global cities, including seven cities in Korea using data from the Global Cities Forecast (2013) provided by Oxford Economics. The City competitiveness index is selected from 18 indicators including scale index, ratio index, growth rate index while Gini coefficient is used for distribution index. In order to analyze the relationship between the competitiveness index and the distribution index, we use the LOGIT panel regression model. As a result, the increase in income inequality (Gini coefficient) has a negative effect on the economic growth rate in 5-year time lag shown statistically significant. We have compiled global rankings of 770 city competitiveness based upon 19 indicators by combining the global competitiveness index and the distribution index. The trend of rank shows that 7 Metropolitan Korean Cities are expected to decline substantially over the period. In particular, Seoul ranked $59^{th}$ in 2010 and $74^{th}$ in 2015. Its ranking is expected to be decline to $185^{th}$ in 2030. The declining competitiveness of Korean cities is expected to lead to a weakening of Korea's national competitiveness in the long run. Accordingly, it is imperative to identify problems and seek strategic plans to secure global urban competitiveness.