• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.413-421
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• 2021

Government expenditure on education has attracted much attention because it plays an important role in the economic development. The question is whether government expenditure on education has a positive or negative impact on the economic growth and vice versa. This study aims to provide reliable estimates of the relationship between government expenditure on education and economic growth with empirical evidence in Vietnam for the period 2006-2019. The data was taken from the official statistics of the General Statistics Office of Vietnam. The authors have used the VAR model and Granger causal model to determine the relationship between government expenditure on education and the economic growth. Research results show that there is a two-way nexus between the economic growth and government spending on education with a lag of about two years. From the results obtained from this research, the authors have made some policy suggestions for the Vietnamese government as how to increase investment for education. If there is a one-way causal relationship between expenditure on education and the economic growth, the government can use spending as a growth factor. However, if there is a bi-directional relationship between the government expenditure on education and the GDP growth, the government needs to ensure that resources are appropriately managed and allocated effectively to promote growth.

• Food Engineering Progress
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• v.22 no.4
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• pp.283-294
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• 2018

Food allergy is a chronic disease that is increasing all over the world, and it can even lead to a loss of life. To prevent any incidents resulting from food allergies, most countries keep strengthening their food allergen labeling requirements domestically and internationally, with a constant monitoring system against undeclared allergens and recall of offending products. In order to avoid economic losses to industry and damages to international relations from undeclared allergens, it is necessary to confirm each country's regulatory policy on food allergen labeling prior to exportation. Another required action is to try for a reduction of the cross-contamination risk of the allergens during manufacturing and storage, which should be verified by using an accurate and reliable analysis of food allergens. This paper is intended to provide an introduction to the regulation of food allergen labeling by country, allergen management methods to avoid cross-contamination, and allergen detection methods using ELISA, PCR, and LC/MS. Changes of allergenicity during thermal or nonthermal processing also will be investigated in our review. This review will be helpful for the food industry to better understand patients suffering from food allergies and to manage food allergens in food manufacturing.

• Journal of Contemporary Eastern Asia
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• v.20 no.1
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• pp.1-23
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• 2021

With regard to the recent developments in public diplomacy, the increasing fusion of strategic communication appears necessary. China engages in public diplomacy with a strategic purpose to shape its national image abroad. Hosting diplomatic advocacy event is regarded as an instrument with expectations to present reliable and responsible image and promote international collaborations. The present research focuses on the Belt and Road Forum (BRF) in May 2017 with the objective to analyze its outcomes and influence on the international news agenda, news frames, and foreign citizens' comments online. The quantitative content analyses are used to compare the media reports (N=364) and Facebook users' comments on the selected news (N=957) between the US and Pakistan. Results reveal that Pakistani media provided more diverse frames and attributed more positive evaluations to the BRF than the US media. However, Facebook comments expressed more unfavorable opinions toward the BRF and China's image with rare differences between two countries. In conclusion, the BRF has served as an eye-catching advocacy of Chinese foreign policy, as it influenced the news agenda in two selected countries. However, news frames vary due to the differences in media system and the involvement in the BRF. China's public diplomacy practices follow a traditional top-down communication which needs meticulous subdivision of target stakeholders, delicate messaging strategies, and integrated tactics.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.225-233
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• 2022

The recent outbreak of corona virus (COVID-19) infectious disease had made its forecasting critical cornerstones in most scientific studies. This study adopts a machine learning based time series model - Auto Regressive Integrated Moving Average (ARIMA) model to forecast COVID-19 confirmed cases in Botswana over 60 days period. Findings of the study show that COVID-19 confirmed cases in Botswana are steadily rising in a steep upward trend with random fluctuations. This trend can also be described effectively using an additive model when scrutinized in Seasonal Trend Decomposition method by Loess. In selecting the best fit ARIMA model, a Grid Search Algorithm was developed with python language and was used to optimize an Akaike Information Criterion (AIC) metric. The best fit ARIMA model was determined at ARIMA (5, 1, 1), which depicted the least AIC score of 3885.091. Results of the study proved that ARIMA model can be useful in generating reliable and volatile forecasts that can used to guide on understanding of the future spread of infectious diseases or pandemics. Most significantly, findings of the study are expected to raise social awareness to disease monitoring institutions and government regulatory bodies where it can be used to support strategic health decisions and initiate policy improvement for better management of the COVID-19 pandemic.

• Journal of Korean Academy of Dental Administration
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• v.9 no.1
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• pp.1-6
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• 2021

Measuring and quantifying the burden of disease (BoD) is crucial for healthcare policy-related decisions. For this purpose, summary measures of population health (SMPH) have been proposed to overcome the limitations of prevalence, incidence, and mortality. Oral health remains separated from the mainstream healthcare system, and the lack of reliable epidemiological data has been pointed out as the cause. In this study, we aimed to understand the flow of international and domestic BoD research related to oral disorders and the direction in which those studies should advance in the future. It is necessary to continuously revise the previously measured BoD of oral disorders and calculate the BoD by performing subdivisions, starting from the development of lay descriptions. Furthermore, developing elaborate BoD measurement methodologies that reflect the complexity of the oral cavity is essential.

• Nuclear Engineering and Technology
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• v.54 no.9
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• pp.3299-3309
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• 2022

Nuclear energy has the potential to play an influential role in energy transition efforts than is now anticipated by many countries. Realizing sustainable human development and reducing global climate crises will become more difficult without significantly increasing nuclear power. This paper aims to probe the role of nuclear energy, external debt, and financial globalization in sustaining human development and environmental conditions simultaneously in BRICS (Brazil, Russia, India, China, and South Africa) countries. This study applied a battery of second-generation estimation approaches over the period from 1990 to 2019. These methods are useful and robust to cross-countries dependencies, slope heterogeneity, parameters endogeneity, and serial correlation that are ignored in conventional approaches to generate more comprehensive and reliable estimates. The empirical findings indicate that nuclear energy and financial globalization contribute to human development, whereas external debt inhibits it. Similarly, financial globalization accelerates ecological deterioration, but nuclear energy and external debt promote environmental sustainability. Moreover, the study reveals bidirectional feedback causalities between human development, carbon emissions and nuclear energy consumption. The study offers useful policy guidance on accomplishing sustainable and inclusive development in BRICS countries.

• Journal of Korea Trade
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• v.23 no.7
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• pp.113-127
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• 2019

Purpose - This paper investigates whether financial crises could be the indicators of capital outflow waves or vice versa in Korea. Korea has experienced two severe financial crises, which are the Asian Crisis and the global financial crisis. Although there were many variables associated with these two remarkable events, one notable variable was gross capital outflows, which had significantly increased around them. Motivated by existing literature which built theoretical frameworks explaining the relationship between capital flight and financial crises, we examine the empirical evidence for this relationship. Design/methodology - We use panel data from 61 countries including Korea from 1980 to 2009 to study the associations between capital flight and diverse financial crises such as banking, currency, debt, and inflation crises. To be specific, we use the complementary log-log model to see whether capital outflow waves are reliable indicators for domestic financial crises. Findings - The results show, first, that banking, currency, and inflation crises are associated with capital flight. Second, debt crises are also associated with capital flight, but the result is not robust to different specifications. And, third, the positive associations between capital flight and crises are mainly driven by banking flows rather than FDI and portfolio flows. Originality/value - This paper is one of a few studies that investigates domestic (not foreign) investors' behavior during financial turmoil. Furthermore, theoretical studies which provide contradictory explanations on the movements of gross capital outflows during financial crises emphasizes the importance of empirical evidence in this paper.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.156-156
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• 2022

Explicitly spatially distributed and reliable data on industrial water demand is very much important for both policy makers and researchers in order to carry a region-specific analysis of water resources management. However, such type of data remains scarce particularly in underdeveloped and developing countries. Current research is limited in using different spatially available socio-economic, climate data and geographical data from different sources in accordance to predict industrial water demand at finer resolution. This study proposes a random forest regression (RFR) model to predict the industrial water demand at 0.50× 0.50 spatial resolution by combining various features extracted from multiple data sources. The dataset used here include National Polar-orbiting Partnership (NPP)/Visible Infrared Imaging Radiometer Suite (VIIRS) night-time light (NTL), Global Power Plant database, AQUASTAT country-wise industrial water use data, Elevation data, Gross Domestic Product (GDP), Road density, Crop land, Population, Precipitation, Temperature, and Aridity. Compared with traditional regression algorithms, RF shows the advantages of high prediction accuracy, not requiring assumptions of a prior probability distribution, and the capacity to analyses variable importance. The final RF model was fitted using the parameter settings of ntree = 300 and mtry = 2. As a result, determinate coefficients value of 0.547 is achieved. The variable importance of the independent variables e.g. night light data, elevation data, GDP and population data used in the training purpose of RF model plays the major role in predicting the industrial water demand.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.104-108
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• 2015

Delay on State-Funded Construction Projects (SFCPs) in Dong Thap - a province in Mekong Delta of Vietnam, as many provinces of Vietnam, have caused budget overrun through many recent years. The budget-overrun situations, in turn, have deepened the delay. Identifying critical factors affecting delay SFCPs plays a key role to mitigate negative impact of delay. 134/160 questionnaires were collected from personals working for project owners, consultants, supervisors and contractors in Dong Thap Province. Convenient sampling method was used. EFA was resulted in critical 04 factors with 20 variables caused delay in SFCPs, including: "Project technic, contractor's financial capacity and adjustment role of the government", "Regulation and Policy", "Mutual benefit support and concern between the government and residents", and "Disadvantage of construction site and weather season". Reliable measures to reduce delay on SFCPs are discussed to establish legal corridors to strictly controlling the process, consider mutual benefit between the government and its residents, and evaluating construction conditions. Those measures are considered could be applied in not only Dong Thap province, but most provinces of Vietnam as well.

• Journal of Korean Library and Information Science Society
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• v.54 no.3
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• pp.1-32
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• 2023

This article intends to explore both progress and problems in local library policies of South Korea, with emphasis on public libraries. Special concerns are given to analyze the strength and weakness of local library regulations and implementation plans, prepared for the promotion of local public libraries. Also investigated are the structural problems in both current procedures and systems for library policy making. The final discussion includes the customized solutions to make local library policies be healthy and reliable, as well as the analysis on the indigenous factors to make local library policies be weak and defective.