• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.657-664
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• 2020

We investigate the impact of roads and highways within the provinces on the regional trade of China using the augmented Gravity Model and theory of modeling trade. We take a panel data covering 31 provinces of China over 20 years period (1998-2017) for the estimations. We apply ARMA-OLS model, fixed and random effects, and robust findings by Hausman test. The results imply that road and highway lengths within the provinces have a significantly positive impact on the value of the province-wise exports. The positive impact is due to the fact the increased coverage of roads and highways increase accessibility to resources and mobility of goods and services within the regions. Moreover, employment in the transportation sector, per capita GDP and population of the provinces also illustrate positive and significant influence on regional exports and trade. The impact of China's WTO accession on regional exports has been positive, while the financial crisis has had a negative impact. The year dummies show that, in the years following the financial crisis, China was able to regress from the external shock as trade within the provinces increased. The increase in exports after financial crisis is mainly due to the government policies and support to every province.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.323-331
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• 2020

The study aims to assess the impact of foreign direct investment (FDI) and international trade (export and import) on Vietnam's economic growth for the 2000-2018 period. Secondary data is taken from the General Statistics Office of Vietnam. Ordinary least-square method is used in analyzing the impact of FDI, export and import on economic growth of Vietnam. Empirical test results show that FDI and international trade are related to Vietnam's economic growth. However, each economic variable has a different impact. FDI has a positive and statistically significant influence on economic growth of Vietnam. Export also has positive and statistically significant impact to the economic growth, while import has a negative but not statistically significant effect. The result is useful for the policy makers of Vietnam on foreign economic relations. In order to improve the effect of FDI and international trade on growth of the economy, the government of Vietnam should: (1) continue applying preferential policies to attract FDI; (2) select foreign investors aiming to quality, efficiency, high technology and environmental protection; (3) continue pursuing export-oriented policy; (4) enhance the added value of exported goods and control the type of imported goods; (5) further liberalize trade through signing and implementation of international trade commitments.

• Asian Journal of Business Environment
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• v.8 no.4
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• pp.37-44
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• 2018

Purpose - The artificial intelligence industry plays an increasingly significant role in stimulating the development of United States of America's economy. On account of this background, this paper attempts to explore the impact of artificial intelligence industry on United States of America's macroeconomy. Research design, data, and methodology - This paper mainly focuses on the impact of artificial intelligence industry on GDP, employment, real income, import, export and foreign direct investment. Furthermore, the Phillips-Perron test and Canonical cointegrating regression will be employed to examine the impact of artificial intelligence industry on United States of America's macroeconomy with a sample form 2010-Q1 to 2017-Q4. Results - Via the empirical analysis, the results reveal that the artificial intelligence industry has a positive effect on United States of America's GDP, employment, real income, export and foreign direct investment. Conversely, the artificial intelligence industry has a negative effect on United States of America's import. Conclusions - In summary, the impact of artificial intelligence industry on United States of America's macroeconomy is positive and significant in statistics. Therefore, the government of United States of America should put more input into artificial intelligence industry.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.769-779
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• 2020

Self-efficacy has been extensively evaluated, but no studies have investigated the effect of self-efficacy on the self-reliance of women in poor-households economic productivity. This study analyzes self-efficacy as a personal factor, learning processes, and social support as an environmental factor towards the achievement of self-reliance in women from poor-households in productive economy businesses. Despite the dominant logic of this scheme, there is a need for field-based data regarding whether the variable really supports the sustainable empowerment of poor-households women. This study used the quantitative method through the survey technique. The samples of this study included 250 people collected from five regencies in Indonesia by using a multiple-stage random sampling. The data were analyzed with structural equation modeling. The results show that social support has a significant positive impact on the learning process; social support has a direct negative impact on self-efficacy. The learning process has a direct positive influence on self-efficacy, while social support has a non-significant impact on self-reliance. The learning process has a direct influence on self-reliance. Social support and the learning process both have significant positive impact on self-efficacy. Social support, learning process, and self-efficacy simultaneously have a positive impact on self-reliance in productive economic activities.

• Journal of Korean society of Dental Hygiene
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• v.9 no.2
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• pp.221-228
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• 2009

The purpose of this study was to evaluate the impact of oral health impact profile in two urban area The respondents enrolled in this study were elderly people aged 65years from Gwang-ju city, Sunchon city. A total of 371 participants(Gwang-ju city 161, Sunchon city 210) analyzed. The contents of the research were social demographic characteristics, self perceived need for dental care, attributes related to denture, dental visiting pattern, the perceptions regarding dental health condition, and OHIP-14. 1. In the comparison Two urban area, the perceptions regarding dental health condition, self perceived need for dental care, dental visiting pattern was statistically significant difference(p<0.05). 2. Among the 7 OHIP-14 subscales, the mean scores of physical disability were significantly higher in two urban area(p<0.05). 3. The Social demographic characteristics, OHIP-14 represented a statistically significant difference related to gender, age and denture use(p<0.05). Through this research, Both Gwang-ju city and Sunchon city was found that elderly people was more negative impact of physical disability on oral health related quality of life. Therefore need to oral health program for improving oral health in the elderly people.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.45-53
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• 2020

Past literatures have not studied the impact of real-world events or information on the return and volatility of virtual currencies, particularly on the COVID-19 event, day-of-the-week effect, daily high-low price spreads and information flow rate. The study uses the ARMA-GARCH model to capture Bitcoin's return and conditional volatility, and explores the impact of information flow rate on conditional volatility in the Bitcoin market based on the Mixture Distribution Hypothesis (Clark, 1973). There were 3,064 samples collected during the period from 1^st of January 2012 to 20^th April, 2020. Empirical results show that in the Bitcoin market, a daily high-low price spread has a significant inverse relationship for daily return, and information flow rate has a significant positive relationship for condition volatility. The study supports a significant negative relationship between information asymmetry and daily return, and there is a significant positive relationship between daily trading volume and condition volatility. When Bitcoin trades on Saturday & Sunday, there is a significant reverse relationship for conditional volatility and there exists a day-of-the-week volatility effect. Under the impact of COVID-19 event, Bitcoin's condition volatility has increased significantly, indicating the risk of price changes. Finally, the Bitcoin's return has no impact on COVID-19 events and holidays (Saturday & Sunday).

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.159-167
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• 2020

The study examines the impact of corporate social responsibility (CSR) activity on the firm market value, in particular, market capitalization of tour operators listed on Chinese stock markets. This study employs panel data analysis methods to examine endogeneity concerns in observational data. The balanced panel data includes a total of 1,296 observations with 27 cross-sections of tour operators listed on Chinese stock markets and with 48 time-specific periods from March 2006 to December 2017. The results indicate that CSR activity has a negative impact on the market value of the firm for the concurrent period, but from one-period time lag and afterwards CSR activity has a strong positive impact on the market value and sustains its positive impact on the market value even for a two-period time lag. The findings suggest that the economic effect of CSR activity on the firm market value tends to take some degree of lagged effects to be fully showcased in the market capitalization of tour operators and travel companies listed on Chinese stock markets. The findings suggest that, though CSR activity may carry some financial risk for an immediate short-term, tour operators must put a lot of time and effort into making CSR actions effective.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.583-593
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• 2021

The objective of this paper is to investigate the impact of economic growth (per capita real GDP), the square of per capita real GDP, energy use, financial development (FD), and foreign direct investment (FDI) on ecological footprint (EF) in the case of Malaysia over the period 1971-2014, by employing the ARDL approach. The long-run results revealed that economic growth has a significant positive impact on the ecological footprint and it implies that the economic growth deteriorates the environmental quality in Malaysia. Conversely, the square of GDP showed a negative and significant impact on the EF in the long run. As the coefficient of GDP in our study is positive and statistically significant while the coefficient of squared GDP is negatively significant, thus, this study supports the presence of the environmental Kuznets curve (EKC) hypothesis in the case of Malaysia. Furthermore, the result indicates that FDI has a positive and significant impact on the EF in the long run, which means a rise in FDI will enhance the environmental pollution level. Thus, it confirms the pollution haven hypothesis. Hence, it suggests that Malaysia imposes stricter environmental policies. Further, FDI and FD are causing GDP in Malaysia, but through increasing EF.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.355-364
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• 2021

The main objective of this study is to examine the interactive effect of technology spillover channels on business efficiency within the case study of manufacturing industry of Vietnam during the period from 2012 to 2018. The research model was developed with business efficiency as dependent variable and the relevant factors affecting the technology spillover capacity as independent variables. With a sample of 2,776 cross-sectional enterprises, panel data analysis approach was adopted to estimate the impact of technology spillover issue. Different spillover channels were also included in the analysis to enhance the empirical result. The study reveals that technology spillovers positively influence manufacturing business efficiency, in which horizontal spillover channel produces negative impact and vertical spillover channel, creates positive impact. Several factors that negatively affect the technology spillover capacity of businesses could be mentioned such as limited skills and experiences of workers, methods of implementing R&D, and the existence of FDI enterprises. Meanwhile, the rise of other factors related to joint-venture activities can help to increase the technology spillover capacity of businesses. In addition, skill and experience transfer makes a partial impact since this variable only positively affect the vertical spillover channel and provide no evidence of impact regarding horizontal spillover channel model.

• The Korean Journal of Emergency Medical Services
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• v.23 no.1
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• pp.135-146
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• 2019

Purpose: The aims of this study were to identify the relationships among alcohol level, impact of event, occupational stress, and distress disclosure and to determine the influences on alcohol level among fire officials. Methods: Participants in this cross-sectional, descriptive study were 241 fire officials. Data were collected from June 2018 to July 2018 using self-reported questionnaires and were analyzed using IBM SPSS 22.0 software (IBM, Armonk, NY, USA). Results: The results revealed significant positive relationships between alcohol level and impact of event, and impact of event and occupational stress, and a negative relationships between occupational stress and distress disclosure. Regression analysis revealed that alcohol level accounted for 9.2% of the variance by gender, and impact of event(e.g., sleep problems and emotional numbness). Conclusion: These findings provide information that can be used in the development of mental health promotion programs for fire officials.