• International Area Studies Review
• /
• v.12 no.2
• /
• pp.297-324
• /
• 2008

As greenhouse gas (hereinafter GHGs) emissions have been increasing, the world's climate is also rapidly changed. $CO_2$ is the most important artificial GHGs and the annual emissions amount was increased approximately 80% between 1970 and 2004. After suggesting Kyoto Protocol, EU is the second largest emissions embodiment in the world, set the emissions trading scheme (hereinafter EU-ETS) and is trying to reduce $CO_2$ emissions aggressively. This study focuses on the EU-ETS and EU-ETS market to examine their emissions reduction policy and review the result of their efforts. EU-ETS which is composed of 2-step phases had already completed the first phase and is running on the second phase in 2008. Up to now EU-ETS has been proceeding successfully and the amount of $CO_2$ emissions has been decreased. To prepare for their coming events, countries excluded from Kyoto Protocol fulfillment need to have some implication from EU and have to make up their own plans.

• International Area Studies Review
• /
• v.14 no.2
• /
• pp.25-40
• /
• 2010

Accurate forecasting of volatility is of considerable interest in financial volatility research, particularly in regard to portfolio allocation, option pricing and risk management because volatility is equal to market risk. So, we attempted to delineate a model with good ability to forecast and identified stylized features of volatility, with a focus on volatility persistence or long memory in the Australian futures market. In this context, we assessed the long-memory property in the volatility of index futures contracts using three conditional volatility models, namely the GARCH, IGARCH and FIGARCH models. We found that the FIGARCH model better captures the long-memory property than do the GARCH and IGARCH models. Additionally, we found that the FIGARCH model provides superior performance in one-day-ahead volatility forecasts. As discussed in this paper, the FIGARCH model should prove a useful technique in forecasting the long-memory volatility in the Australian index futures market.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.2
• /
• pp.119-126
• /
• 2021

The purpose of this study is to see if cultural contents that are characterized by experience goods have different types of One Source Multi Use (OSMU) phenomena. This study classified original works into web-novels and webtoons, and studied how OSMU evolution paths can be different between the two types of originals. In addition, this study compared Korean and Chinese examples. Using eight original works created between 1999 and 2012, which were later used for OSMU, this study investigated how web-novels and webtoons took different OSMU evolution paths in Korea and China. As a result, this study found that web-novels are more actively used in different formats than webtoons, probably because web-novels can more easily stimulate people's imaginations. In addition, Korea was found to use story-centered OSMU before character-centered OSMU, whereas China showed both types of OSMU simultaneously.

• Journal of the Korea Convergence Society
• /
• v.12 no.2
• /
• pp.279-285
• /
• 2021

The materials, parts, and equipment industries are the backbone of the manufacturing industry and a key element of competitiveness. However, in the case of Korea, as it relies on foreign countries for core materials, parts, and equipment, it is in danger of not only industrial competitiveness, but also security. This study first looked at the outline and current address of the materials, parts, and equipment industries, identified problems and improvements, and examined the efforts and achievements so far for the localization of materials, parts, and equipment in Korea. In addition, after looking at the improvement measures for the government's material, parts, and equipment industry at the institutional level or at the ecological level, the current status and actual condition of localization of local materials, parts and equipment were investigated, and problems and improvements were analyzed. Lastly, this study presented a technology development plan for localization of parts and materials in the region and various institutional improvement plans related to commercialization.

• The Journal of Industrial Distribution & Business
• /
• v.12 no.2
• /
• pp.41-52
• /
• 2021

Purpose: This study aims to provide implications for the government's housing supply policy by analyzing the factors that determine the type of real estate holding and household debt. This study started from the awareness that the determinants of household debt differ depending on the type of real estate holding. Research design, data and methodology: Real estate ownership type was classified and analyzed into 4 models: model 1 (1 household 1 house and self-resident), model 2 (1 household multiple real estate ownership and self-resident), model 3 (1 household 1 house and rent residence), model 4 (1 household holds a large number of real estate and rent residence). The analysis method used multiple regression analysis. The dependent variable was household total debt. As independent variables, household debt, annual gross household income, financial assets, real estate net assets, annual repayment, demographic & residential characteristics were used. Results: 1) Model 4 has the highest household debt and the highest gross income, Model 2 has the most real estate mortgage loans and real estate net asset, and Model 1 has the highest real estate mortgage payments. 2) The positive factor of common household debt determinants is real estate net assets, and the negative factor is financial assets. 3) It was the net assets of real estate that acted as a positive factor in common for the four models. In other words, the more financial assets, the less household debt. It was analyzed that the more net assets of real estate, the more household debt. The annual repayment of financial liabilities had no influence on household debt, while the annual repayment of loan liabilities and household debt had a positive relationship. Conclusions: 1) It is necessary to introduce benefits and systems that can increase the proportion of household financial asset. Specific alternatives include tax benefits and reduced fees for financial asset investment. 2) In the case where a homeless person prepares one house for one household, it is necessary to prepare various support measures according to the income level. The specific alternative is to give additional points for pre-sale or apply an interest rate cut incentive for mortgage loans.

• Journal of Digital Convergence
• /
• v.19 no.1
• /
• pp.151-165
• /
• 2021

The purpose of this research is to explore the impact of managers' leadership on organizational innovation behavior in Star-Rated hotels. 244 valid Chongqing hotels' questionnaires were obtained. Through SPSS 23.0, the model structure was verified between the four variables. The results as below. First, transformational, transactional leadership has a positive impact on organizational innovation behavior. Second, transformational, transactional leadership has a significant effect on empowerment. Third, empowerment has a positive impact on organizational innovation behavior. Lastly, empowerment plays a mediation effect between transformational, transactional leadership, and organizational innovation behavior. In conclusion, managers can contribute to organizational innovation behavior by improving the abilities of leadership.

• Journal of Digital Convergence
• /
• v.19 no.3
• /
• pp.47-54
• /
• 2021

This study shows that consumers' attitudes and behaviors are rapidly changing due to the COVID-19 outbreak in a situation where consumption patterns are already changing due to demographic changes such as an increase in the number of single-person households and dual-income couples. To this end, the results of an online survey conducted on 500 panels of Nielsen Korea were used in this study. In particular, consumers were divided into two generation groups (Generation Z vs. Millennial) and analyzed and presented changes in consumption activities and food purchasing behaviors changed by COVID-19. As a result, the existing online distribution trend has been strengthened, and its impact has been amplified by COVID-19. These changes also resulted in different consumption behaviors depending on the degree of concern for COVID-19 by generation. Based on the results of this study, it turns consumers' behavioral changes into new opportunities, focusing on the accelerating a new 'contactless' lifestyle, which will provide managerial implications for the food industry's response strategies in relation to the theoretical significance and in practice.

• International Journal of Knowledge Content Development & Technology
• /
• v.11 no.4
• /
• pp.7-34
• /
• 2021

The purpose of the study was to explore the uses and gratification of social media among first-year student groups at a satellite campus of a public university in Ghana. The study employed a descriptive survey design. The study involved all 1061 first-year university students in six academic departments of the College. A total of 680 (64%) participants returned validly completed copies of the questionnaire. Descriptive statistics and thematic analysis were employed for data analysis. The findings indicate that WhatsApp was the most popular application for social media groups, while a need for information-sharing, peer-tutoring and learning, and finding and keeping friends were the primary motivations for joining social media groups. First-year students are involved mainly in reactive activities, as most engage when solving an academic assignment through group discussions. Though challenges persist, such as posting of unwanted images, inadequate participation, and ineffective and irrelevant communication, most are willing to continue their social media groups' membership in the long term. This study provides valuable insight into transitioning students' lived experiences on social media from the group perspective. These insights are valuable conceptually and practically to academic counsellors, librarians and student affairs officers who are expected to provide on-going education on (social) media literacy to first-year students to enhance the adjustment process. The study is the first of its kind in Ghana that investigates social media group participants' exit intentions.

• Journal of Digital Convergence
• /
• v.20 no.4
• /
• pp.699-704
• /
• 2022

The purpose of this study is to determine the relating factors of the Budgeting for Korean Medicine health promotion in the Integrated Community Health Promotion Program as of 2020 targeting 226 basic local governments nationwide. Descriptive statistics, Difference tests, and Binary logistic regression analysis were conducted to analyze the factors relating Budgeting for Korean Medicine health promotion in the Integrated Community Health Promotion Program in local communities using regional budgets in 2020. As a result of the analysis, the difference in the Budgeting for Korean Medicine Infertility Treatment Support, Number of Korean Medicine Doctor, Number of Population people over 65 years old, and Aging Population Percentage. And there was a influencing factors, Budgeting for Korean Medicine Infertility Treatment Support, Aging Population Percentage, Whether to join a healthy city, so expected to be used as a reference in organizing policies and business budgets related to Korean Medicine in the future.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.45 no.2
• /
• pp.65-76
• /
• 2022

Recently, not only traditional statistical techniques but also machine learning algorithms have been used to make more accurate bankruptcy predictions. But the insolvency rate of companies dealing with financial institutions is very low, resulting in a data imbalance problem. In particular, since data imbalance negatively affects the performance of artificial intelligence models, it is necessary to first perform the data imbalance process. In additional, as artificial intelligence algorithms are advanced for precise decision-making, regulatory pressure related to securing transparency of Artificial Intelligence models is gradually increasing, such as mandating the installation of explanation functions for Artificial Intelligence models. Therefore, this study aims to present guidelines for eXplainable Artificial Intelligence-based corporate bankruptcy prediction methodology applying SMOTE techniques and LIME algorithms to solve a data imbalance problem and model transparency problem in predicting corporate bankruptcy. The implications of this study are as follows. First, it was confirmed that SMOTE can effectively solve the data imbalance issue, a problem that can be easily overlooked in predicting corporate bankruptcy. Second, through the LIME algorithm, the basis for predicting bankruptcy of the machine learning model was visualized, and derive improvement priorities of financial variables that increase the possibility of bankruptcy of companies. Third, the scope of application of the algorithm in future research was expanded by confirming the possibility of using SMOTE and LIME through case application.