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An Empirial Study on Vietnam’s Trade Faclilitation in the Digital Economy
Thanh Huong Vu(Thanh Huong Vu ),Thi Thuy Hanh Lam(Thi Thuy Hanh Lam ),Ha Phuong Nguyen(Ha Phuong Nguyen ) The International Academy of Global Business and T 2023 The International Academy of Global Business and T Vol.19 No.2
Purpose - Vietnam is among the fastest growing digital economies in the Southeast Asian region, and has made enormous efforts to adopt digital measures to facilitate trade. The paper aims to assess Vietnam’s performance of digital trade facilitation and estimate the impact of digital trade facilitation on Vietnam’s exports to the Association of Southeast Asian Nations (ASEAN). Design/Methodology/Approach - Vietnam’s implementation of digital trade facilitation is assessed through a constructed framework based on two groups of indicators, including Information Availability and Formalities Automation extracted from the OECD Trade Facilitation database. Further, a gravity model was adopted to estimate the impact of digital trade facilitation on Vietnam’s exports. Findings - The results show that Vietnam performs a slightly better than the average level of ASEAN countries. However, Vietnam’s implementation of digital trade facilitation tends to be ỉmproving at a slower rate than other ASEAN countries’ implementations, as well as the country’s overall implementation of other trade facilitation. The paper is among leading studies to quantify the impact of digital trade facilitation on Vietnam’s exports to ASEAN countries, and finds that if Vietnam and ASEAN countries increase trade facilitation through Information Availability measures by 1%, Vietnam’s exports will increase more than proportionately by 1.29% and 1.01%, respectively. Meanwhile, the digitalization of trade formalities so far has had no effect on Vietnam’s exports to this region. Research Implications - Vietnam should place priority on enhancing automation in trade-related administrative procedures, especially in customs procedures. Furthermore, it should pay more attention to promote the electronic publication of trade-related information, enhance the transparency of government policymaking, and increase the quality of enquiry points.
Predicting Financial Distress Distribution of Companies
Giang Huong VU(Giang Huong VU ),Chi Thi Kim NGUYEN(Chi Thi Kim NGUYEN ),Dang Van PHAM(Dang Van PHAM ),Diu Thi Phuong TRAN(Diu Thi Phuong TRAN ),Toan Duc VU(Toan Duc VU ) 한국유통과학회 2022 유통과학연구 Vol.20 No.10
Purpose: Predicting the financial distress distribution of an enterprise is important to warn enterprises about their future. Predicting the possibility of financial distress helps companies have action plans to avoid the possibility of bankruptcy. In this study, the author conducted a forecast of the financial distress distribution of enterprises. Research design, data and methodology: The forecasting method is based on Logit and Discriminant analysis models. The data was collected from companies listed on Vietnam Stock Exchange from 2012 to 2020. In which there are both companies suffer from financial distress and non-financial distress. Results: The forecast analysis results show that the Logistic model has better predictability than the Discriminant analysis model. At the same time, the results also indicate three main factors affecting the financial distress of enterprises at all three research stages: (1) Liquidity, (2) Interest payment, and (3) firm size. In addition, at each stage, the impact of factors on financial distress differs. Conclusions: From the results of this study, the author also made several recommendations to help companies better control company operations to avoid falling into financial distress. Adjustments to current assets, debt, and company expansion considerations are the most important factors for companies.
Melvyn WB Zhang,Bach Xuan Tran,Huong Lan Thi Nguyen,Huong Thi Le,Nguyen Hoang Long,Huong Thi Le,Nguyen Duc Hinh,Tran Dinh Tho,Bao Nguyen Le,Vu Thi Minh Thuc,Chau Ngo,Nguyen Huu Tu,Carl A. Latkin,Roger 대한의료정보학회 2017 Healthcare Informatics Research Vol.23 No.2
Objectives: The average alcohol consumption per capita among Vietnamese adults has consistently increased. Although alcoholrelated disorders have been extensively studied, there is a paucity of research shedding light on this issue among Internet users. The study aimed to examine the severity of alcohol-related disorders and other associated factors that might predispose individuals towards alcohol usage in a sample of youths recruited online. Methods: An online cross-sectional study was conducted with 1,080 Vietnamese youths. A standardized questionnaire was used. Respondent-driven sampling was applied to recruit participants. Multivariate logistic and Tobit regressions were utilized to identify the associated factors. Results: About 59.5% of the males and 12.7% of the total youths declared that they were actively using alcohol. From the total sample, a cumulative total of 32.3% of the participants were drinking alcohol, with 21.8% and 25.0% of the participants being classified as drinking hazardously and binge drinkers, respectively. The majority of the participants (60.7%) were in the pre-contemplative stage. Conclusions: A high prevalence of hazardous drinking was recognized among online Vietnamese youths. In addition, we found relationships between alcohol use disorder and other addictive disorders, such as tobacco smoking and water-pipe usage. Our results highlighted that the majority of the individuals are not receptive to the idea of changing their alcohol habits, and this would imply that there ought to be more government effort towards the implementation of effective alcohol control policies.
EXISTENCE THEOREMS FOR CRITICAL DEGENERATE EQUATIONS INVOLVING THE GRUSHIN OPERATORS
Huong Thi Thu Nguyen,Tri Minh Nguyen Korean Mathematical Society 2023 대한수학회논문집 Vol.38 No.1
In this paper we prove the existence of nontrivial weak solutions to the boundary value problem -G<sub>1</sub>u = u<sup>3</sup> + f(x, y, u) in Ω, u ≥ 0 in Ω, u = 0 on ∂Ω, where Ω is a bounded domain with smooth boundary in ℝ<sup>3</sup>, G<sub>1</sub> is a Grushin type operator, and f(x, y, u) is a lower order perturbation of u<sup>3</sup> with f(x, y, 0) = 0. The nonlinearity involved is of critical exponent, which differs from the existing results in [11, 12].
Huong Nguyen 한국사회복지학회 2018 Asian Social Work and Policy Review Vol.12 No.2
With 80% of Vietnamese people holding key Buddhist beliefs, Buddhism has great impact on the thoughts, emotions, and behavior of Vietnamese people. However, almost no Buddhism-based psychosocial interventions are offered at formal psychiatric hospitals across Vietnam, nor is there any plan to incorporate these interventions into mental health care. This exploratory study examines the perceptions of mental health clients and staff regarding the effectiveness of Buddhism-based therapies (BBTs) in mental health treatment in Vietnam, using ethnographic observation and in-depth interviews with 24 patients and eight professionals at the only psychiatric hospital employing BBT. Participants strongly believed in the positive impact of BBT to help clients manage or improve their symptoms. However, clients and staff advised that BBT should not be used alone; rather it should be used in combination with medication and was best employed for stress-related disorders. They unanimously supported incorporating BBT into the formal mental health system, especially if the therapies were well developed through collaboration between Buddhist monastics and mental health professionals. Results of the paper suggest that Vietnam should think strategically about developing and incorporating BBT into the formal mental health care system.
Huong, Truong Thu,Bac, Ta Phuong,Thang, Bui Doan,Long, Dao Minh,Quang, Le Anh,Dan, Nguyen Minh,Hoang, Nguyen Viet International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.6
Since machine learning was invented, there have been many different machine learning-based algorithms, from shallow learning to deep learning models, that provide solutions to the classification tasks. But then it poses a problem in choosing a suitable classification algorithm that can improve the classification/detection efficiency for a certain network context. With that comes whether an algorithm provides good performance, why it works in some problems and not in others. In this paper, we present a data-centric analysis to provide a way for selecting a suitable classification algorithm. This data-centric approach is a new viewpoint in exploring relationships between classification performance and facts and figures of data sets.