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Fiscal Decentralization, Corruption, and Income Inequality: Evidence from Vietnam
Hung Thanh NGUYEN,Thuy Hoang Ngoc VO,Duc Doan Minh LE,Vu Thanh NGUYEN 한국유통과학회 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.11
The objective of this research paper is to study the simultaneous relationship between fiscal decentralization, corruption, and income inequality among Vietnamese provinces. We use a balanced panel data set of 63 provinces/cities in Vietnam in the period from 2011 to 2018. The study used 3SLS-GMM (Three Stage Least Squares - Generalized Method of Moments estimator) and GMM-HAC (Generalized Method of Moments - Heteroskedastic and Autocorrelation Consistent estimator). Empirical evidence shows a strong simultaneous relationship: increased corruption will increase regional income disparities, income inequality, and increase fiscal decentralization. In addition, the results also suggest that an increase in per-capita income will reduce the level of corruption, or better control corruption of each province. The degree of increase in income inequality, which reduces fiscal decentralization, is the same for trade liberalization. All demonstrate that there is a simultaneous relationship between fiscal decentralization, corruption, and income inequality. In a region of high public governance quality, fiscal decentralization positively effects its economic growth. This issue will indirectly increase income inequality between provinces within a country. Our findings imply that a country’s fiscal decentralization strategy should be linked to improving corruption control and local governance effectiveness, indirectly improving income inequality between localities or regions.
( Vu Thi Thu Hang ),( Dinh Thi Quyen ),( Thi Tuyet Dao ),( Sy Le Thanh Nguyen ) 한국미생물 · 생명공학회 2012 Journal of microbiology and biotechnology Vol.22 No.3
A novel gene coding for an endo-β-1,4-mannanase (manA) from Bacillus subtilis strain G1 was cloned and overexpressed in P. pastoris GS115, and the enzyme was purified and characterized. The manA gene consisted of an open reading frame of 1,092 nucleotides, encoding a 364-aa protein, with a predicted molecular mass of 41 kDa. The β-mannanase showed an identity of 90.2-92.9% (≤95%) with the corresponding amino acid sequences from B. subtilis strains deposited in GenBank. The purified β- mannanase was a monomeric protein on SDS-PAGE with a specific activity of 2,718 U/mg and identified by MALDITOF mass spectrometry. The recombinant β-mannanase had an optimum temperature of 45oC and optimum pH of 6.5. The enzyme was stable at temperatures up to 50oC (for 8 h) and in the pH range of 5-9. EDTA and most tested metal ions showed a slightly to an obviously inhibitory effect on enzyme activity, whereas metal ions (Hg2+, Pb2+, and Co2+) substantially inhibited the recombinant β-mannanase. The chemical additives including detergents (Triton X- 100, Tween 20, and SDS) and organic solvents (methanol, ethanol, n-butanol, and acetone) decreased the enzyme activity, and especially no enzyme activity was observed by addition of SDS at the concentrations of 0.25-1.0% (w/v) or n-butanol at the concentrations of 20-30% (v/v). These results suggested that the β-mannanase expressed in P. pastoris could potentially be used as an additive in the feed for monogastric animals.
Thanh-Trung VU,Thi-Thu-Hang DOAN 국제이네비해양경제학회 2022 International Journal of e-Navigation and Maritime Vol.18 No.1
The concept of sustainability was first introduced a few decades ago, and it has gradually become the primary concern of many nations and firms around the world. Sustainability is a broad concept that encompasses three pillars, namely, economic, social, and environmental, represented as profit, people, and nature. It implies that firms can only sustainably develop if they grow without compromising the benefits of their stakeholders. Thus, this study aims to identify, through the participatory approach and the Delphi method, an appropriate set of sustainability indicators to strategically evaluate Hai Phong port's sustainable development achievements. The paper will critically review past studies on port sustainable development to find the most frequently used indicators for assessing port sustainability. These indicators vary because of the availability of data and the researcher's perceived level of importance given to each indicator. Finally, we employ the Delphi method to narrow down the initial set of sustainability indicators based on consensus on the importance of indicators and availability of data among experts. Some indicators that are not important and statistical data unavailable are eliminated. Therefore, the final set includes all crucial indicators for evaluating the sustainability of Hai Phong seaports with collected data.
Novel reassortant H5N6 highly pathogenic influenza A viruses in Vietnamese quail outbreaks
Thanh, Hien Dang,Tran, Van Trung,Nguyen, Duc Tan,Hung, Vu-Khac,Kim, Wonyong Elsevier 2018 Comparative immunology, microbiology and infectiou Vol.56 No.-
<P><B>Abstract</B></P> <P>Avian influenza A H5N6 virus is a highly contagious infectious agent that affects domestic poultry and humans in South Asian countries. Vietnam may be an evolutionary hotspot for influenza viruses and therefore could serve as a source of pandemic strains. In 2015, two novel reassortant H5N6 influenza viruses designated as A/quail/Vietnam/CVVI01/2015 and A/quail/Vietnam/CVVI03/2015 were isolated from dead quails during avian influenza outbreaks in central Vietnam, and the whole genome sequences were analyzed. The genetic analysis indicated that hemagglutinin, neuraminidase, and polymerase basic protein 2 genes of the two H5N6 viruses are most closely related to an H5N2 virus (A/chicken/Zhejiang/727079/2014) and H10N6 virus (A/chicken/Jiangxi/12782/2014) from China and an H6N6 virus (A/duck/Yamagata/061004/2014) from Japan. The <I>HA</I> gene of the isolates belongs to clade 2.3.4.4, which caused human fatalities in China during 2014–2016. The five other internal genes showed high identity to an H5N2 virus (A/chicken/Heilongjiang/S7/2014) from China. A whole-genome phylogenetic analysis revealed that these two outbreak strains are novel H6N6-like <I>PB2</I> gene reassortants that are most closely related to influenza virus strain A/environment/Guangdong/ZS558/2015, which was detected in a live poultry market in China. This report describes the first detection of novel H5N6 reassortants in poultry during an outbreak as well as genetic characterization of these strains to better understand the antigenic evolution of influenza viruses.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Two H5N6 influenza viruses were isolated from dead quails in central Vietnam in 2015. </LI> <LI> The whole virus genome was sequenced, and phylogenetic analysis was performed. </LI> <LI> A novel H6N6-like PB2 gene reassortant was identified from poultry. </LI> </UL> </P>
Hung, Tran Loc,Thanh, Tran Thien,Vu, Bui Quang Korean Mathematical Society 2008 대한수학회보 Vol.45 No.3
The main aim of this paper is to present some results related to asymptotic behavior of distribution functions of random variables of chi-square type $X^2_N={\Sigma}^N_{i=1}\;X^2_i$ with degrees of freedom N, where N is a positive integer-valued random variable independent on all standard normally distributed random variables $X_i$. Two ways for computing the distribution functions of chi-square type random variables with random degrees of freedom are considered. Moreover, some tables concerning considered distribution functions are demonstrated in Appendix.
A fault detection and diagnosis approach for multi-tier application in cloud computing
Khiet Thanh Bui,Len Van Vo,Canh Minh Nguyen,Tran Vu Pham,Hung Cong Tran 한국통신학회 2020 Journal of communications and networks Vol.22 No.5
Ensuring the availability of cloud computing services always concerns both service providers and end users. Therefore, the system always needs precautions for unexpected cases. Accordingly, cloud computing services mustbe capable of identifying faults and behaving appropriatelywhen it is abnormal to ensure the smoothness as well asthe service quality. In this study, we propose a fault detection method for multi-tier web application in cloud computing deployment environment based on the Fuzzy Oneclass support vector machine and Exponentially WeightedMoving Average method. And then, the suspicious metrics are located by using feature selection method whichbased on Random Forest algorithm. To evaluate our approach, a multi-tier application is deployed by a transnational web e-Commerce benchmark by using TPC-W (TPCBenchmark™ W, simulates the activities of a business oriented transaction web server in a controlled internet commerce environment) in private cloud and then it is injectedtypical faults. The effectiveness of the fault detection anddiagnosis are demonstrated in experiment results.