• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.295-302
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• 2020

The paper aims to investigate the impact of foreign direct investment (FDI) on private investment with a sample having 49 developing countries in Asia (17 countries) and Africa (32 countries) during the period of 1990-2017. Unlike previous studies, we split the data into three groups for further analysis, including the Asian, African and the full-panel samples. The results confirm a crowding-in effect which shows that foreign direct investment promotes private investment on all three research samples. Besides, the lagged private investment has a positive and significant effect on itself in the next period which reflects the inertia in the trend of private investment in recipient countries. In the full-panel sample, there are some macro factors such as GDP per capita, trade openness, and electricity that also have a positive and statistically significant impact on private investment. Besides, when more deeply estimate with smaller samples, we find that trade openness and labour force have a positive and significant in Africa, on the other hand, not in Asia. However, the domestic credit variable has a negative and significant effect on private investment only in Asian developing countries. Furthermore, there is only a positive and significant impact of the electricity variable on private investment in Asia.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.9
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• pp.261-272
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• 2021

Rapid economic growth in recent years has caused a surge in energy consumption among Southeast Asian countries and laid a considerable burden on the already inadequate power infrastructure. As a result, frequent blackouts and prolonged outages have become common and weakened firm productive performance in those years. The main objective of this study is to examine the impact of power infrastructure quality on the performance of Southeast Asian manufacturing firms. In this study, the World Bank Enterprise Surveys was employed as the training dataset of 4723 manufacturing firms in the period of 2015-2016. The results of this study reveal that industrial firms that suffered from power outages had consistently lower productivity. As measured by the length of such events, more severe outages tend to be more harmful to the firm. Furthermore, the findings also indicated that most firms relied on self-generated electricity to reduce the negative impact of power outages, but this does not bring many benefits when operating at a small scale in some countries. Consequently, this study contributes to a growing literature that examines the economic impact of public infrastructure and how detrimental the poor state of such services is to a firm's downstream operations, productivity, and growth.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.285-294
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• 2022

Using the ARDL approach, this study examined the impact of macro factors on Vietnam's stock market in the short and long run from 2010 to 2021. The State Bank of Vietnam and the International Monetary Fund provided time series data for this study. Research results show that in the long run, money supply and exchange rate respectively affect the stock market. The money supply had a positive effect on the VN-Index, while the exchange rate showed the opposite effect. However, the study did not find a relationship between world oil price and interest rates on VN-Index in the long run. On the other hand, in the short term, there are relationships between variables; specifically, interest rates and exchange rates have a negative impact on the VN-Index, while the world oil price and the fluctuation of money supply M2 of the previous one and two months showed an impact in the same direction on this index. The differences in the regression results on the impact of exchange rate and oil price on the VN-Index compared to previous studies come from the characteristics of Vietnam's stock market, with the large capitalization of companies in the oil and gas sector, and the structure of Vietnam's economy with export heavily depends on FDI sector.

• Korean Journal of Health Education and Promotion
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• v.22 no.2
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• pp.111-124
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• 2005

Objectives: The purpose of this study is to evaluate the impact of psycho-social factors on smoking especially the impact of a social support and stress on smoking among boy's high school students. Methods: This study was conducted by administering a questionnaire to 442 boys' high school students living in Deajeon, Korea. This data were analyzed with the SPSS statistical package using t-test and logistic regression. Major findings of this study are as follows: Results: 1. Analysis of the relationship of smoking, stress and social support: The relationship between stress and smoking and between friend's support and smoking had a positive correlation. But the relationship between parents' support and smoking and between teacher's support and smoking had a negative correlation. 2. Multiple logistic analysis of the impact of stress, social support and general characteristics on smoking: The relationship between stress and smoking had a positive correlation as social support and general characteristics were controlled. In contrast, the relationship between social support -parents', friend's, teacher's support- and smoking had no significant correlations as stress and general characteristics were controlled. The risk factors of smoking of boy's high school students were smoking friends, drinking, a type of school, pocket money per month, and stress. And the most powerful predictor of smoking was smoking friends(OR=12.35). Conclusions: The results showed that the variables affecting mainly on smoking were the personal background -smoking friends, drinking, a type of school, pocket money per month- and stress. Therefore, these findings give useful information for constructing a program against smoking or educating about smoking.

• The Journal of Economics, Marketing and Management
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• v.2 no.1
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• pp.18-28
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• 2014

In this research we investigate the effect return on assets, return on equity, profit margin and earnings per share on working capital management. Current ratio and quick ratio used as proxies for working capital management. The research sample includes 451 year -firm of Tehran Stock Exchange (TSE) listed companies for period 2007-10. The multiple linear regressions were applied to test the research hypotheses. The results showed that, return on assets and earnings per share have a negative impact on working capital management. The results also show that earnings per share and profit margin positively associated with the firm performance.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.1
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• pp.135-144
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• 2012

The purpose of this research study is to find factors associated with burnout in social workers in public sector. This study examined the impact of social support and job-related tension on burnout of social workers in public sector. A participant of 300 social workers in public sector were recruited from Inchen city and completed the questionnaires during August, 2011. Data were entered into simple regression and hierarchical multiple regression analyses. First, women had a little higher mean score of burnout than men. However, this was not a statistically significant difference. Job Classification and year of work experiences were very important predictors for burn-out of social workers in public sector. Second, there was a strong positive relationship between job-related tension and burnout. Third, there was a strong negative relationship between social support and burnout. As the perception about social support by social workers increased, the level of burnout tended to decrease. Finally, the set of analyses examined the impact of social support after controlling for effects of demographic variables and job-related tension. Perceived social support, job-related tension made a significant contribution in burnout. The results of this research study provide several implications for social work practices. More research is needed regarding the effects of social support and job-related tension on burnout of social workers in public sector. For social works in public sector, supervision from supervisors appeared to have a protective effect against social workers' burnout.

• Fire Science and Engineering
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• v.34 no.4
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• pp.125-134
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• 2020

This paper aimed to statistically analyze the impact of fire needs not considered in previous reports based on preventive and preparedness strategies of fire administration and fire budget.. The panel data came from 16 metropolitan councils from 2008 to 2018 and was statistically analyzed based on the preventive measures of the fire administration (agreement for building permission, specific target for fire-fighting, public use facilities, and special fire inspection [SFI]), preparedness of the fire administration (fire safety education [FSE]), response of the fire administration (mobilization for fire suppression [MFS] and mobilization for ambulance service [MAS]), and fire budget. In the results, SFI, FSE, and MFS had a significant negative influence on the fire budget. Meanwhile, MAS had a significant positive effect on the fire budget (p < 0.01). These results reflect public policy in Korea; there has been a paradigm shift in fire administration: from disaster acceptance (focusing on recovery) to disaster response (focusing on field response) to disaster preparedness (focusing on preparedness).

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.26-33
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• 2024

With the start of COVID-19 in 2020, the MBTI test became popular among Korean young generation and then developed into a nationwide hot topic. This paper aims to investigate the characteristics of the MBTI popularity in Korea and the public opinions toward this phenomenon. With the analysis of the reports contents, 231 news reports related to MBTI were selected from KINDS (Korea Integrated News Database System) as research samples. The general attitude of the media towards MBTI tests and the reasons for the formation of positive and negative evaluations will be discussed from three perspectives: media attention, media attitudes and cognitive sources. The research finds that the increasing interest in MBTI among the younger generation in Korea is driven by a post-epidemic desire for self-exploration, emotional planning, and online group affiliation. MBTI has gained quasi-scientific status, similar to horoscopes, influenced by celebrities and a substantial fan base in online communication. While widely used for entertainment and social currency, there are concerns that extensive labeling may unconsciously impact individuals' self-perception and hinder the development of a holistic and objective cognitive framework.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.109-115
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• 2021

This study aims to examine the effect of Operating Costs and Income, Loan to Deposit Ratio on the Return on Asset (ROA) of Public-Private Foreign Exchange Banks listed on the Indonesia Stock Exchange (IDX) during the 2015-2018 period. This study is a quantitative study using financial reports of Public-Private Foreign Exchange Banks listed on the IDX as a data source. This study's population is 25 Public-Private Foreign Exchange Banks listed on the IDX. This study uses purposive sampling to determine the sample to produce 21 banking companies. Data was analyzed using multiple linear regression methods and descriptive statistics. The F Test calculation results state that all the variables of free operating expenses, operating income, and the loan to deposit ratio simultaneously and significantly affect the return on assets (ROA) variable in Public-Private Foreign Exchange Banks listed on the IDX. This study's results indicate that simultaneously Operational Costs, Operational Income, and Loan to Deposit Ratio have a significant effect on ROA. Operational Costs and Operational Income have a significant negative impact on Return on Assets. The third hypothesis shows that the Loan to Deposit Ratio has a positive and insignificant effect on Return on Assets.

• Asia pacific journal of information systems
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• v.24 no.2
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• pp.233-253
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• 2014

Can the stock market really be predicted? Stock market prediction has attracted much attention from many fields including business, economics, statistics, and mathematics. Early research on stock market prediction was based on random walk theory (RWT) and the efficient market hypothesis (EMH). According to the EMH, stock market are largely driven by new information rather than present and past prices. Since it is unpredictable, stock market will follow a random walk. Even though these theories, Schumaker [2010] asserted that people keep trying to predict the stock market by using artificial intelligence, statistical estimates, and mathematical models. Mathematical approaches include Percolation Methods, Log-Periodic Oscillations and Wavelet Transforms to model future prices. Examples of artificial intelligence approaches that deals with optimization and machine learning are Genetic Algorithms, Support Vector Machines (SVM) and Neural Networks. Statistical approaches typically predicts the future by using past stock market data. Recently, financial engineers have started to predict the stock prices movement pattern by using the SNS data. SNS is the place where peoples opinions and ideas are freely flow and affect others' beliefs on certain things. Through word-of-mouth in SNS, people share product usage experiences, subjective feelings, and commonly accompanying sentiment or mood with others. An increasing number of empirical analyses of sentiment and mood are based on textual collections of public user generated data on the web. The Opinion mining is one domain of the data mining fields extracting public opinions exposed in SNS by utilizing data mining. There have been many studies on the issues of opinion mining from Web sources such as product reviews, forum posts and blogs. In relation to this literatures, we are trying to understand the effects of SNS exposures of firms on stock prices in Korea. Similarly to Bollen et al. [2011], we empirically analyze the impact of SNS exposures on stock return rates. We use Social Metrics by Daum Soft, an SNS big data analysis company in Korea. Social Metrics provides trends and public opinions in Twitter and blogs by using natural language process and analysis tools. It collects the sentences circulated in the Twitter in real time, and breaks down these sentences into the word units and then extracts keywords. In this study, we classify firms' exposures in SNS into two groups: positive and negative. To test the correlation and causation relationship between SNS exposures and stock price returns, we first collect 252 firms' stock prices and KRX100 index in the Korea Stock Exchange (KRX) from May 25, 2012 to September 1, 2012. We also gather the public attitudes (positive, negative) about these firms from Social Metrics over the same period of time. We conduct regression analysis between stock prices and the number of SNS exposures. Having checked the correlation between the two variables, we perform Granger causality test to see the causation direction between the two variables. The research result is that the number of total SNS exposures is positively related with stock market returns. The number of positive mentions of has also positive relationship with stock market returns. Contrarily, the number of negative mentions has negative relationship with stock market returns, but this relationship is statistically not significant. This means that the impact of positive mentions is statistically bigger than the impact of negative mentions. We also investigate whether the impacts are moderated by industry type and firm's size. We find that the SNS exposures impacts are bigger for IT firms than for non-IT firms, and bigger for small sized firms than for large sized firms. The results of Granger causality test shows change of stock price return is caused by SNS exposures, while the causation of the other way round is not significant. Therefore the correlation relationship between SNS exposures and stock prices has uni-direction causality. The more a firm is exposed in SNS, the more is the stock price likely to increase, while stock price changes may not cause more SNS mentions.