• Journal of Korean Society of Rural Planning
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• v.25 no.3
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• pp.1-9
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• 2019

Population is important as a fundamental element of local industry and economy, and census data is essential to regional planning and policy making. Although there have been many researches on population and regional planning, there are few studies on population considering spatial unit. In this study, the population of three spatial scales were compared in order to establish the spatial unit suitable for the rural planning. The study area is Gangwon, Chungcheong-Nam, Chungcheong-Buk, Jeolla-Nam, Jeolla-Buk, Gyeonsang-Nam, Gyeonsang-Buk and Jeju province. Population were compared using statistical data analysis, GIS visualization, and spatial statistics. The mean, maximum, minimum, and variance of population were calculated and the coefficient of variation according to spatial unit was compared. The mean, maximum, minimum, and variance of population were calculated and the coefficient of variation according to spatial unit was compared. As the results, the census output area unit is difficult to interpret spatial analysis results. Administrative district unit has the limit that includes areas where the population does not live. The grid unit is well suited to the geographical characteristics but has many disadvantages of the grid with small population. Therefore, It is necessary to complement the limits of the Eup and Myeon-dong administrative district through the grid unit data.

• Asia-Pacific Journal of Business
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• v.12 no.2
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• pp.161-174
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• 2021

Purpose - The purpose of this study was to examine the recent popular consumption trend, the hocance phenomenon, using social media big data. The study intended to present practical directions and marketing measures for the recovery and growth of the hotel industry after COVID-19 pandemic. Design/methodology/approach - Big data analysis has been used in various fields, and in this study, it was used to understand the hocance phenomenon. For three years from January 1, 2018 to December 31, 2020, we collected text data including the keyword 'hocance' from the blog and cafe of NAVER and Daum. TEXTOM and UCINET 6 were used to collect and analyze the data. Findings - According to the results of analysis, the words such as 'hocance', 'hotel', 'Seoul', 'travel', 'swimming pool', 'Incheon', 'breakfast', 'child' and 'friend' were identified with high frequency. The results of CONCOR analysis showed similar results in all three years. It has been confirmed that 'swimming pool', 'breakfast', 'child' and 'friend' are important when deciding on the hocance package. Research implications or Originality - The study was differentiated in that it used social media big data instead of traditional research methods. Furthermore, it reflected social phenomena as a consumption trend so there was practical value in establishing marketing strategies for the tourism and hotel industry.

• Journal of Korean Society of Rural Planning
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• v.28 no.4
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• pp.11-18
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• 2022

Recently, the relevance of the Air Quality Index considering major factors related to the air environment and the local economy and community was analyzed in abraod. In Korea, a comprehensive air-quality index has been proposed. In this study, the comprehensive air-quality index and the index that can integrate Gross Domestic Product per capita were summarized as regional attractiveness. As a result of the analysis, Ulsan, Chungnam, Seoul, Chungbuk, and Jeonnam had the highest Gross domestic product per capita, and Jeju, Gyeongnam, and Gyeongbuk had the best Comprehensive air-quality index, and Ulsan had the highest attractiveness. As a result of the correlation analysis, it was found that there was no correlation between the two variables, Gross domestic product per capita and Comprehensive air-quality index, because various factors such as topographical characteristics, hazardous substances, and local government's efforts were not taken into account. As a result of sensitivity analysis, Ulsan had the highest sensitivity and variance for Gross domestic product per capita and Comprehensive air-quality index. As for the relative ratio of attractiveness between regions, Ulsan's attractiveness was 2.95 times that of Daegu's, indicating a large difference between regions.

• Korean Journal of Environmental Biology
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• v.40 no.4
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• pp.464-476
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• 2022

In recent years, macroalgal bloom occurs frequently in coastal oceans worldwide. It might be attributed to accelerating climate change. "Green tide" events caused by proliferation of green macroalgae (Ulva spp.) not only damage the local economy, but also harm coastal environments. These nuisance events have become common across several coastal regions of continents. In Korea, green tide incidences are readily seen throughout the year along the coastlines of Jeju Island, particularly the northeastern coast, since the 2000s. Ulva species are notorious to be difficult for morphology-based species identification due to their high degrees of phenotypic plasticity. In this study, to investigate temporal variation in Ulva community structure on Jeju Island between 2015 and 2020, chloroplast barcode tufA gene was sequenced and phylogenetically analyzed for 152 specimens from 24 sites. We found that Ulva ohnoi and Ulva pertusa known to be originated from subtropical regions were the most predominant all year round, suggesting that these two species contributed the most to local green tides in this region. While U. pertusa was relatively stable in frequency during 2015 to 2020, U. ohnoi increased 16% in frequency in 2020 (36.84%), which might be associated with rising sea surface temperature from which U. ohnoi could benefit. Two species (Ulva flexuosa, Ulva procera) of origins of Europe should be continuously monitored. The findings of this study provide valuable information and molecular genetic data of genus Ulva occurring in southern coasts of Korea, which will help mitigate negative influences of green tide events on Korea coast.

• Journal of Korea Port Economic Association
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• v.29 no.2
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• pp.81-111
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• 2013

Along with a general growth in living standards there has been a corresponding increase in the demand for tourism. Cruise based tourism, in particular, has become one of the most dynamic and dramatic growth sectors in the tourism industry over the last 20 years, including in the Northeast Asian region. In line with the growth of passenger numbers, the number of cruise ships and their berth capacities has increased significantly since the late 1970s. Korea, as a peninsular nation, has also experienced a rapid growth in cruise passenger numbers. The national economy has greatly benefited from this as the industry acts as an income generator, creating new jobs and potential investments and in developing local tourism. Ports play an important role in the development of any national cruise industry, providing not only ship berths but supply and bunkering facilities and a gateway to local tourism opportunities. The selection of the optimal cruise port location is an important and complex problem because the decision makers have to consider a large number of criteria which have a significant effect on the economy, environment, human life, and society. This paper investigates those criteria that are significant in developing a successful cruise port by employing a questionnaire survey of major cruise port users - shipping companies and tourism companies. The ports, surveyed in this study are Busan, Incheon, Yeosu and Jeju. All have been identified as important potential cruise ports in the Korean Government's 'The 3rd Port Basic Plan (2011-2020)'.

• Journal of Korea Port Economic Association
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• v.36 no.2
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• pp.87-108
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• 2020

The Korean logistics industry has grown with the development of domestic industries. The industry plays an important role in national and regional economic growth, and the government has continued policy efforts to foster the industry. This study analyzes the competitiveness of the regional logistics industry and its contribution to the regional economy. Location coefficients are used to analyze local specialization in each logistics industry. The value-added rate, GDP contribution, value-added induction coefficient, and net value-added income of regional logistics industries are analyzed using a regional input-output table. As a result, the logistics industry is found to have net value-added income and competitiveness in some regions, and there is no relationship between the location coefficient and the value-added contribution of the regional logistics industry. Seoul, Incheon, Gyeonggi, Busan, and Jeju have the competitiveness of each logistics industry. In addition, we identified the regions where the logistics infrastructure is well developed and those in which it needs to be supported. The regions where the logistics industry has developed require policies for making high value-added by logistics activity, and regions with insufficient growth need to support the development of the logistics industry by investing human resources and capital that can meet the local demand.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.306-314
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• 2014

It has been known that cruise tourism adds value in the local industry and its impacts on regional economy are tremendous. From this point of view, identifying services provided by a cruise ship port, cruise tourists' satisfaction, and their behavioral intentions are significant issues at cruse destinations. The main purpose of this study was to identify significant service factors at the cruise ship port that have an influence on cruise tourists' satisfaction and loyalty in Jeju Island. To achieve the study purpose, a structured survey questionnaire was developed on the basis of reviewing related literatures. The survey was conducted through personal interviews at the Jeju Cruise Ship Port. In total, 386 useable samples were collected during the period from September 11 to October 29, 2012. According to the factor analysis using 15 attributes related to services at a cruise ship port, three service factors were extracted: (1) infra-services, (2) shore excursion services, and (3) attributes affecting the selection of shore excursions. Regression analyses indicated that two service factors(shore excursion services and attributes affecting the selection of shore excursions) significantly influence cruise tourists' satisfaction and loyalty. Findings in this study may be insightful and useful information to marketers or managers at cruise ship ports.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.50-59
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• 2017

The purpose of this study is to analyze the development of regional balance of 16 metropolitan councils in Korea, using an indicator index analysis. In each council, 18 indicators of the year 2015 which reflect regional development have been selected to diagnose the performances of the three sectors: economy, social, and cultural infrastructure. For the index of economic indicators, Gyonggi-do records the highest number of the indicators and followed by Chungnam-do which reaches about 94% of Gyonggi-do. The lowest region is Gwangju Metropolitan City which shows only 57% of Gyonggi-do. In the social sector, Gyonggi-do and Seoul City have high indexes while Gyeongsangbuk-do and Gangwon-do show relatively low indexes. This implies that the national economic and social capitals are concentrated in Gyonggi-do and Seoul City. For the index of cultural infrastructure sector, Jeju-do is the highest council and higher about 58% than that of Gangwon-do which is in the second highest level. In particular, the greatest unbalanced sector among the councils is the cultural infrastructure in which Jeju-do is the five times higher than that of Gyonggi-do and Inchon Metropolitan City. As a result, the cultural infrastructure sectors are particularly concerned in establishing the national policy for the development of regional balance of Korea.

• Review of Culture and Economy
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• v.20 no.1
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• pp.129-161
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• 2017

Korea's entertainment industry laid its foundation in the early 2000s when global popularity of South Korean soap operas increased in Japan. K-pop has been recently leading the popularity in China. However, many Korean entertainment businesses are dying out. This study reviews factors influencing business survival for 42 chosen corporations listed in the Korea Stock Exchange based on organizational ecology. When all of the variables are analyzed at the same time, long period of public offering and high wages and global sales ratio positively affect business survival. When the individual variables are separately analyzed, long period of public offering and CEO incumbency and high wages and global sales ratio positively affect business survival. Meanwhile, size of businesses do not affect the survival. The results of this study imply that policies to help businesses list an entertainment corporation in the Korea Stock Exchange, increase sales and reciprocity with other culture are needed. Laws and institutions for evaluating intangible asset value should be improved. The results also suggest that a corporation should carefully consider change of CEO and make the best use of the popularity of Korean culture to increase global sales and pay competitive wages to attract professionals.

• Journal of the Korea Convergence Society
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• v.8 no.1
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• pp.19-23
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• 2017

Energy is a vital resource for the economic growth and the social development for any country. As the industry becomes more sophisticated and the economy more grows, the electricity demand is increasing. So forecasting electricity demand is an important for electricity suppliers. Forecasting electricity demand makes it possible to distribute electricity demand. As the market for Negawatt market began to grow in Korea from 2014, the prediction of electricity consumption demand becomes more important. Moreover, power consumption forecasting provides a way for demand management to be directly or indirectly participated by consumers in the electricity market. We use Genetic Algorithms to predict the energy demand of the fishing industry in Jeju Island by using GDP, per capita gross national income, value add, and domestic electricity consumption from 1999 to 2011. Genetic Algorithm is useful for finding optimal solutions in various fields. In this paper, genetic algorithm finds optimal parameters. The objective is to find the optimal value of the coefficients used to predict the electricity demand and to minimize the error rate between the predicted value and the actual power consumption values.