• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.195-220
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• 2018

In this study, we conducted an empirical analysis of the factors that affect the change of Bitcoin Closing Price. Previous studies have focused on the security of the block chain system, the economic ripple effects caused by the cryptocurrency, legal implications and the acceptance to consumer about cryptocurrency. In various area, cryptocurrency was studied and many researcher and people including government, regardless of country, try to utilize cryptocurrency and applicate to its technology. Despite of rapid and dramatic change of cryptocurrencies' price and growth of its effects, empirical study of the factors affecting the price change of cryptocurrency was lack. There were only a few limited studies, business reports and short working paper. Therefore, it is necessary to determine what factors effect on the change of closing Bitcoin price. For analysis, hypotheses were constructed from three dimensions of consumer, industry, and macroeconomics for analysis, and time series data were collected for variables of each dimension. Consumer variables consist of search traffic of Bitcoin, search traffic of bitcoin ban, search traffic of ransomware and search traffic of war. Industry variables were composed GPU vendors' stock price and memory vendors' stock price. Macro-economy variables were contemplated such as U.S. dollar index futures, FOMC policy interest rates, WTI crude oil price. Using above variables, we did times series regression analysis to find relationship between those variables and change of Bitcoin Closing Price. Before the regression analysis to confirm the relationship between change of Bitcoin Closing Price and the other variables, we performed the Unit-root test to verifying the stationary of time series data to avoid spurious regression. Then, using a stationary data, we did the regression analysis. As a result of the analysis, we found that the change of Bitcoin Closing Price has negative effects with search traffic of 'Bitcoin Ban' and US dollar index futures, while change of GPU vendors' stock price and change of WTI crude oil price showed positive effects. In case of 'Bitcoin Ban', it is directly determining the maintenance or abolition of Bitcoin trade, that's why consumer reacted sensitively and effected on change of Bitcoin Closing Price. GPU is raw material of Bitcoin mining. Generally, increasing of companies' stock price means the growth of the sales of those companies' products and services. GPU's demands increases are indirectly reflected to the GPU vendors' stock price. Making an interpretation, a rise in prices of GPU has put a crimp on the mining of Bitcoin. Consequently, GPU vendors' stock price effects on change of Bitcoin Closing Price. And we confirmed U.S. dollar index futures moved in the opposite direction with change of Bitcoin Closing Price. It moved like Gold. Gold was considered as a safe asset to consumers and it means consumer think that Bitcoin is a safe asset. On the other hand, WTI oil price went Bitcoin Closing Price's way. It implies that Bitcoin are regarded to investment asset like raw materials market's product. The variables that were not significant in the analysis were search traffic of bitcoin, search traffic of ransomware, search traffic of war, memory vendor's stock price, FOMC policy interest rates. In search traffic of bitcoin, we judged that interest in Bitcoin did not lead to purchase of Bitcoin. It means search traffic of Bitcoin didn't reflect all of Bitcoin's demand. So, it implies there are some factors that regulate and mediate the Bitcoin purchase. In search traffic of ransomware, it is hard to say concern of ransomware determined the whole Bitcoin demand. Because only a few people damaged by ransomware and the percentage of hackers requiring Bitcoins was low. Also, its information security problem is events not continuous issues. Search traffic of war was not significant. Like stock market, generally it has negative in relation to war, but exceptional case like Gulf war, it moves stakeholders' profits and environment. We think that this is the same case. In memory vendor stock price, this is because memory vendors' flagship products were not VRAM which is essential for Bitcoin supply. In FOMC policy interest rates, when the interest rate is low, the surplus capital is invested in securities such as stocks. But Bitcoin' price fluctuation was large so it is not recognized as an attractive commodity to the consumers. In addition, unlike the stock market, Bitcoin doesn't have any safety policy such as Circuit breakers and Sidecar. Through this study, we verified what factors effect on change of Bitcoin Closing Price, and interpreted why such change happened. In addition, establishing the characteristics of Bitcoin as a safe asset and investment asset, we provide a guide how consumer, financial institution and government organization approach to the cryptocurrency. Moreover, corroborating the factors affecting change of Bitcoin Closing Price, researcher will get some clue and qualification which factors have to be considered in hereafter cryptocurrency study.

• Journal of the Korean association of regional geographers
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• v.9 no.1
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• pp.86-96
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• 2003

The purpose of this paper is to explore the relationship between central city and suburban areas. In particular, we examine the relationship of construction activities in suburban areas with construction activities in central city. That is because if the construction activities in central city are correlated with those in suburban areas, the economic trends in those two parts would become interdependent. The construction permit data in 114 Metropolitan Statistical Areas (MSAs) for the past 11 years are used as a central explanatory variable of influencing the relationship, as construction permits issued would reflect population growth, economic growth and housing price in certain area. The main findings of our analysis are as follows. First, MSAs classified as showing high population growth has higher correlation between central city and suburban area than MSAs showing low population growth rate except for only office construction. However, there is little difference in correlation characteristic by the size of MSA Second, most of the MSAs show little causality between the central city and suburban area in lagged situation. Therefore, it is hard to say that the past trend of construction activity in central city reflects in direct the future trend of construction activities in suburban area.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.19-31
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• 2022

Currently, the role of public accelerators in the domestic accelerator market is gradually expanding. Accordingly, in order to establish relevant policies properly, it is necessary to check the effect and validity of public accelerators' investment. However, there is no quantitative research conducted on domestic accelerators, using their financial data, as domestic accelerators have a short history and quantitative data on them are not disclosed. Therefore, this study conducted an empirical analysis with financial data of the startups that received equity investments from public accelerators to confirm the effect of public accelerators'investment in startups. A regression analysis was conducted with financial data from 112 startups that acquired investments from public accelerators in the period of 2016~2020. And the findings are as follows: First, it was found that the initial investment of public accelerators had an effect on the growth and profitability of startups. Specifically, it was confirmed that the initial investment of public accelerators had a positive (+) effect on sales growth rates and total asset growth rates, which are growth indicators. Second, it was found that the joint investment of public accelerators had a significant positive (+) effect on profit margin, an indicator of profitability, rather than on growth. Therefore, it is deemed that it will be a great force for growth if investment in the early-stage startups that showed significant investment results in this study is continuously expanded in combination with support projects, which are a strength of public accelerators. Since this study has confirmed the investment effect of public accelerators, it is deemed necessary to actively promote policies that direct public accelerators' projects toward improving the performance of startups through joint investment with the private sector and supplementing private accelerators' deficiencies.

• 한국정보교육학회:학술대회논문집
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• 2010.08a
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• pp.211-219
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• 2010

In this paper we used Scratch, educational programming language, to teach algorithm to elementary school students. Scratch provides a graphical programming interface, so elementary school students can learn easily and immediately check the results of programming that can hold students' interest. Therefore, development of training material from Scratch using the algorithm can look forward to the Bloom's Mastery Learning. Also worksheets by level will give us excellence in education, growth of the ability to solve problems and creativity will be a great asset for student's future learning.

• Korean Institute of Interior Design Journal
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• v.27 no.1
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• pp.21-28
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• 2018

Environmental issues had arisen following industrialization with rapid physical growth of city and its consequences: widened metropolitan areas, uncontrolled reconstructions of new metropolitan areas, many social issues, such as declines of existing metropolitan areas. Due to these issues, new development policies have been made in order to find identities and reconstruct new images of cities. This research aims to remind the meaning of conservation of modern construction and building re-use, and to identify values of modern architectures in the context of a city. Regeneration of cities is not only finding national identities, but also expecting to increase inflow of foreign travellers. However, this regeneration hasn't stayed sustainable, focusing only on short-term curing of the problem in limited areas. This work analyzes cases of modern architecture, historic buildings from various cultures: Western, Japanese, Chinese. The result of the analysis shows that the value of existing buildings and citizen participation is necessary to revitalize cities. Four characteristics have been also identified: historic relationship, spatial identity, spatial presence, and approachable efficiency. For a potential solution, cities need to be viewed from multiple perspectives to find a method to generate new vitality for a city whose values should be recognized as an asset through sustainable re-use, by transforming modern construction as a heritage.

• Environmental Engineering Research
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• v.25 no.1
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• pp.71-79
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• 2020

This paper uses super-efficiency DEA model and Malmquist index to evaluate the carbon emission efficiency (CEE) values of the nine western provinces along the "Silk Road Economic Belt" for the period from 2000 to 2015, and analyses the influencing factors of the CEE. The major findings of this study are the following: (1) the overall CEE of the nine western provinces is not high, and there are significant inter-provincial differences in the CEE. Meanwhile, the provinces with higher levels of economic development generally have higher CEE. (2) The annual total factor productivity (TFP) of the nine western provinces, which is mainly determined by technological change, is greater than 1. Moreover, the total average growth rate of the TFP is 15.5%. (3) The CEE of the nine western provinces is not spatially dependent. In addition, the urbanization, openness, use of energy-saving technologies and research and development (R&D) investment have a significant positive impact on the CEE values, while the industrial structure, foreign direct investment, fixed asset investment, government expenditure levels and energy structure have a significant negative impact on the CEE. Among them, R&D investment is the primary factor in promoting the development of CEE, and the government expenditure has the greatest negative impact on the CEE.

• Architectural research
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• v.16 no.4
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• pp.185-192
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• 2014

As the cities developed and grew into larger metropolises, land value grew and land invariably became an asset. One of very critical causalities of such widespread need for development was the urban residence that got converted into cesspools of urban slum, major crime area and rapidly degraded. Incessant population growth of these cities called for more land to build residences especially the economically affordable and safe housings were needed for the citizens of none or low-income community. However, not enough attentions have yet been given to the essential basics of human habitation that exist within metropolitan limits by social, economical and political aspects. The following paper studies and elaborates the development motivation adopted by the government to develop public housing in the United States under the technical guidance of supporters and developers from national and international communities. The paper discusses current situation of public housing in the United States with a focus on understanding the present status of public housing and physical condition of their surroundings, strategies for fund mobilization, types of local involvement and community participation, ways of continuous monitoring and maintenance, etc. thereby creating a self-sustaining and integrated management plan for public housings in the future.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.2
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• pp.151-163
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• 2013

It goes without saying that the technology innovation plays an important role in the sustainable growth of the firm in the global economy. It, however, is not easy to fulfill this simple and obvious fact. Because there are a lot of barriers hindering innovation activities of firms and innovations are interrupted or don't even attempts by this barriers. So in this paper, I study barriers of firms that try to innovation and how much negative impact exist on firm's innovation performance by that. And also I try to find influence on firm's performance because of declined innovation activities. To prove this, KIS(Korean Innovation Survey) 2008, which was surveyed by STEPI(Science and Technology Policy Institute), is used to find relationships among variables; innovation barriers, innovation activities and firm's performance. In the result, I find that financial barrier influence negatively to the process innovation with small business, capable barrier influence negatively to the process innovation with large business and organizational barrier influence negatively to the process innovation with both small and large business. And, it also appear that organizational barrier has not moderating effect but process efficiency has moderating effect significantly with small business that have more positive effect.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.4
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• pp.133-143
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• 2020

The paper investigates the factors affecting the profitability of commercial banks in Asian developing countries, including Vietnam, Malaysia and Thailand. We use panel data of four entities; ten banks in Vietnam, eight banks in Malaysia, nine banks in Thailand and all 27 commercial banks from the period 2012 to 2016. Particularly, Return on Asset, Return on Equity and TOBINQ are defined as profitability indicators, which are impacted by three main types of independent variables, namely bank-specifics, which include CAR, NPL, Cost to income, Liquidity ratio and Bank size, industry-specific variable-concentration HHI and macroeconomic-specific variables, which consist of GDP growth and Inflation. Using panel data regressions, the paper identifies several similarities and differences among empirical results on the models of four entities, each of three countries and the overall sample. The most outstanding similarity is that all entities record the significantly negative relationship between operational risk and banking profitability. Likewise, the significantly negative influence of bank size to profitability is found on models of Vietnam and Thailand and no significant effect on the model of Malaysia. Meanwhile, the most controversial result comes up with the negative relationship between CAR and profitability indicators as well as the positive association between credit risk and banking profitability.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.11-18
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• 2020

This paper analyzes factors affecting enterprise's financial risk listed on the Vietnam stock market. The panel data of research sample includes 524 non-financial listed enterprises on the Vietnam stock market for a period of eleven years, from 2009 to 2019. The Generalized Least Square (GLS) is employed to address econometric issues and to improve the accuracy of the regression coefficients. In this research, financial risk is measured by the Alexander Bathory model. Debt structure, Solvency, Profitability, Operational ability, Capital structure are independent variables in the study. Firm Size, firm age, growth rate are control variables. The model results show that in order to prevent and limit financial risk for enterprises listed on the Vietnam Stock Market, attention should be paid to variables reflecting Liability structure ratio, Quick Ratio, Return on Assets, Total asset turnover, Accounts receivable turnover, Net assets ratio and Fixed assets ratio. The empirical results show that there are differences in the impact of these factors on the financial risk in state-owned enterprises and non-state enterprises listed on the Vietnam stock market. The findings of this article are useful for business administrators, helping business managers make the right financial decisions to improve the efficiency of financial risk management in enterprises.