Distribution of Factors Affecting Foreign Direct Investment in ASEAN Countries

Anh Thi Lan NGUYEN(Anh Thi Lan NGUYEN ),Chau Thi Minh PHAM(Chau Thi Minh PHAM ),Hanh Hong NGUYEN(Hanh Hong NGUYEN ),Dat Ngoc NGUYEN(Dat Ngoc NGUYEN ),Duy Van NGUYEN(Duy Van NGUYEN ) 한국유통과학회 2023 유통과학연구 Vol.21 No.2

Purpose: Research on attracting foreign direct investment plays an important role in ASEAN countries. ASEAN has needed FDI capital for development and integration with many developing countries. Research design, data and methodology: This study is conducted to assess the impact of factors: inflation (INF), economic growth (GDP), population (POP), and trade (TRADE) on attracting foreign direct investment (FDI) of ASEAN countries. The study will find out how factors distribution contributes to FDI attraction. The study collects data from 10 ASEAN countries from 2010 to 2020. With data collected for ten countries from 2010 to 2020, data analysis with panel data will be used in this study. The Regression with Driscoll-Kraay standard errors correction model will be used in the study. Results: Panel data analysis shows that economic growth and population positively impact FDI attraction in ASEAN countries. However, two factors: INF and TRADE, do not affect FDI. Conclusions: Countries need to focus on economic development, create many good conditions for people and domestic enterprises and create opportunities for foreign investors to pay more attention. improving the quality of domestic human resources will help to better improve the working quality factor when the demand for high-quality human resources increases.

A Multiple Variable Regression-based Approaches to Long-term Electricity Demand Forecasting

Lan Dong Thi Ngoc,Khai Phan Van,Ngo-Thi-Thu-Trang,Gyoo Seok Choi,Ha-Nam Nguyen 한국인터넷방송통신학회 2021 Journal of Advanced Smart Convergence Vol.10 No.4

Electricity contributes to the development of the economy. Therefore, forecasting electricity demand plays an important role in the development of the electricity industry in particular and the economy in general. This study aims to provide a precise model for long-term electricity demand forecast in the residential sector by using three independent variables include: Population, Electricity price, Average annual income per capita; and the dependent variable is yearly electricity consumption. Based on the support of Multiple variable regression, the proposed method established a model with variables that relate to the forecast by ignoring variables that do not affect lead to forecasting errors. The proposed forecasting model was validated using historical data from Vietnam in the period 2013 and 2020. To illustrate the application of the proposed methodology, we presents a five-year demand forecast for the residential sector in Vietnam. When demand forecasts are performed using the predicted variables, the R square value measures model fit is up to 99.6% and overall accuracy (MAPE) of around 0.92% is obtained over the period 2018-2020. The proposed model indicates the population's impact on total national electricity demand.

A Multiple Variable Regression-based Approaches to Long-term Electricity Demand Forecasting

Ngoc, Lan Dong Thi,Van, Khai Phan,Trang, Ngo-Thi-Thu,Choi, Gyoo Seok,Nguyen, Ha-Nam The Institute of Internet 2021 International journal of advanced smart convergenc Vol.10 No.4

Electricity contributes to the development of the economy. Therefore, forecasting electricity demand plays an important role in the development of the electricity industry in particular and the economy in general. This study aims to provide a precise model for long-term electricity demand forecast in the residential sector by using three independent variables include: Population, Electricity price, Average annual income per capita; and the dependent variable is yearly electricity consumption. Based on the support of Multiple variable regression, the proposed method established a model with variables that relate to the forecast by ignoring variables that do not affect lead to forecasting errors. The proposed forecasting model was validated using historical data from Vietnam in the period 2013 and 2020. To illustrate the application of the proposed methodology, we presents a five-year demand forecast for the residential sector in Vietnam. When demand forecasts are performed using the predicted variables, the R square value measures model fit is up to 99.6% and overall accuracy (MAPE) of around 0.92% is obtained over the period 2018-2020. The proposed model indicates the population's impact on total national electricity demand.

Effect of salicylic acid and yeast extract on curcuminoids biosynthesis gene expression and curcumin accumulation in cells of Curcuma zedoaria

Lan, Truong Thi Phuong,Huy, Nguyen Duc,Luong, Nguyen Ngoc,Quang, Hoang Tan,Tan, Trinh Huu,Thu, Le Thi Anh,Huy, Nguyen Xuan,Loc, Nguyen Hoang The Korean Society of Plant Biotechnology 2019 식물생명공학회지 Vol.46 No.3

The aim of this study is to evaluate the effect of yeast extract (YE) and salicylic acid (SA) on the expression of curcuminoid-biosynthesis genes (CzDCS and CURS1-3), and accumulation of curcumin in Curcuma zedoaria cell cultures. The results showed that, in cells treated with YE or SA, the expression levels of curcuminoid genes were 1.14- to 3.64-fold higher than the control (untreated cells), in which the YE exhibited a stronger effect in comparison with SA. Curcumin accumulation also tended to be similar to gene expression, curcumin contents in YE- or SA-treated cells were 1.61- to 2.53-fold higher than the control. The SA treatment at the fifth day of culture stimulated the curcumin accumulation and expression in all four genes compared to that at the beginning. While the YE treatments gave different results, the CzCURS1 and CzCURS3 genes were expressed strongly in cells that were treated at the beginning. However, the CzDCS and CzCURS2 genes showed the opposite expression pattern, they were activated strongly in the treatments at day five of the culture. However, the content of curcumin reached its maximum value on the fifth day of culture in all investigations.

A Study on the Structural Relations among Factors Influencing the Adoption Intention of Grab Ride-Hailing Service in Vietnam

Nguyen Thi Lan Ngoc,Ju-sik Park 한국마케팅관리학회 2021 한국마케팅관리학회 학술대회 Vol.2021 No.05

승차 호출 서비스는 베트남 전역에서 폭발적인 교통 수단으로 간주됩니다. 대도시의 대부분의승차 호출를 수락했지만 여전히 소규모 및 비도시에 많은 비 사용자가 있습니다. 이 서비스의 사용을 장려하기 위해서는 베트남에서그래브 승차 호출 서비스 대한 채택 의도에 영향을 미치는 요인을 분석하는 것이 특히 중요합니다. 본 논문은 비 이용자의 채택 의도를 예측하기 위해인지 된 가치 이론,인지 된 위험 및 혁신 수용 이론의 조합에 기반한 구조적 틀을 제안한다. 인지 된 가치는 실용적 혜택과 쾌락 적 혜택 (PU (지각 된 유용성) 및 PEOU (지각 된 사용 편의성) – 전자, 인지 된 즐거움 – 후자) 로 측정됩니다. 인지 된 위험은 개인 정보 위험, 보안 위험 및 성능 위험의 세 가지 변수로 개념화됩니다. 주관적 규범은 또한 채택 의도를 뒷받침합니다. 새로운 가변 자동차 의존도가 추가되어 채택 의도에 대한 긍정적 인 영향을 조사합니다. 데이터는 베트남에서 수집되었으며 응답자는 소규모 또는 비도시의그래브 승차 호출 서비스의 비 사용자 또는 간접 사용자입니다. 그 결과인지 된 유용성,인지 된 사용 편의성,인지 된 즐거움, 주관적 규범이인지 된 가치에 직접적인 영향을 미치며, 이는 채택 의도에 직접적인 영향을 미친다는 것을 보여줍니다. 또한 인식 된 위험은 채택 의도에 상당한 영향을 미치고 인식 된 가치와 채택 의도 간의 관계를 조절합니다. 마지막으로, 자동차 의존성은 그래브 승차 호출 서비스의 채택 의도에 영향을 미칩니다. The ride-hailing service is considered as an exploding transportation mean throughout Vietnam. While most of citizens in big cities have accepted ride-hailing service, there are still a significant number of non-users in small and non-cities. Analyzing the factors that influence the adoption intention toward Grab ride-hailing service in Vietnam is especially critical to encourage the usage of this service. This paper proposes the structural framework based on the combination between the theory of perceived value, perceived risks and theory of innovation acceptance to predict the adoption intention of nonusers. The perceived value is measured by utilitarian benefits and hedonic benefits (perceived usefulness (PU) and perceived ease of use (PEOU) – the former, perceived enjoyment – the latter). The perceived risk is conceptualized by three variables: privacy risk, security risk, and performance risk. Subjective norms also support the adoption intention. The new variable automobile dependency is added to examine its positive impact on adoption intention. The data was collected in Vietnam, the respondents are non-users or indirect users of Grab ride-hailing service from small or non-cities. The result shows that perceived usefulness, perceived ease of use, perceived enjoyment, subjective norms directly affect perceived value, which directly affect the adoption intention. Additionally, perceived risk also significantly impacts the adoption intention and moderates the relationship between perceived value and adoption intention. Finally, the automobile dependency influences the adoption intention of Grab ride-hailing service.

A regional approach for health risk assessment of toxicants in plastic food containers

Nguyen Lan Binh Thi,Thanh Truc Nguyen Thi,Nguyen Ngoc Tran Thi,Vu Dinh Khang,Lee Byeong-Kyu 한국독성학회 2023 Toxicological Research Vol.39 No.4

Plastic food containers are being used popularly, generating a waste of about 115 million tons in Vietnam. Such waste is causing environmental and health issues. This study conducted a field survey with 250 local people and selected 59 samples out of 135 plastic food containers collected in Go Vap district, Vietnam. Collected plastic samples identified compositions were PET 13.6%, PP 28.8%, PS 16.9%, and 40.7% undefined plastics. Collected plastic samples were classified based on the plastic type using recycling code and quantitatively analyzed with X-ray fluorescence spectroscopy method to assess concentrations of Cd, Sb, Pb, Hg, Sn, Cr, Br, Cl, and S. Most of these collected plastic samples (91.5%) were found to contain 8/9 hazardous substances and most elements contained in these plastics were below their standard thresholds. These elements in plastic samples could be divided as the result into three hazard groups: (1) high hazard group (Sb, Cl, and S); (2) medium hazard group (Cr, Br and Hg); and (3) low hazard groups (Cd, Pb and Sn). Among substances in the high hazard group, element Sb was assessed for its migration because only Sb is regulated in Vietnam in QCVN 12-1: 2011/BYT. Substances of Cl, S, Cr, Br, and Hg (group 1, 2) do not have regulations related to the method of decontamination. Thus, additional health risks need to be assessed using the USEtox model. Finally, this study proposed a screening process to assess the risk of toxicity of elements contained in plastic food containers through ISO 31000:2018.

The Determinants of Profitability in Listed Enterprises: A Study from Vietnamese Stock Exchange

NGUYEN, Thi Ngoc Lan,NGUYEN, Van Cong Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.1

The research aims to investigate the determinants of the financial performance of 1343 Vietnamese companies categorized into six different industries listed on the Vietnamese Stock Exchange over a four-year period from 2014 to 2017 using STATA software. Those determinants include firm size, liquidity, solvency, financial leverage, and financial adequacy while the financial performance is evaluated by three different ratios: return on assets (ROA), return on equity (ROE), and return on sales (ROS). The research results from these companies during the given period indicate that: (1) Firm size has a positive impact on both ROA and ROS, especially ROA but it has the opposite effect on ROE, (2) Adequacy ratio impacts positively on ROA and ROS but negatively on ROE, (3) Financial leverage considerably negative influences on ROE and ROS but positively impacts on ROA, (4) Liquidity has a positive effect on both ROA and ROE but a negative one on ROS and (5) Solvency has a positive impact on ROA and ROS but the negative impact on ROE. Furthermore, agriculture accounted for the highest percentage of profitability at the beginning, which was replaced by service for ROA but manufacture for ROE from 2016 to 2017 as opposed to the least in transportation.

Development of Copper Corrosion Products and Relation between Surface Appearance and Corrosion Rate

( Tran Thi Ngoc Lan ),( Nguyen Thi Thanh Binh ),( Nguyen Nhi Tru ),( Tsujino Yoshino ),( Maeda Yasuki ) 한국부식방식학회(구 한국부식학회) 2008 Corrosion Science and Technology Vol.7 No.2

Factors Affecting Financial Independence of Young Adults: An Empirical Study in Vietnam

Lan NGUYEN,Quyen Thi TRINH,Thao Ngoc Minh TRAN 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.10

Nowadays, with the constant enhancement in the health of the economy, the average income and living standard have accordingly increased, making the need for financial independence a favorable choice. This research aims to identify the factors affecting the financial independence of young people. The authors implement quantitative analysis, with a set of primary data collected from a survey of 2664 Vietnamese people aged from 18 to 28. The research results demonstrate the considerable impact of monetary, psychological, group-related, and family-related factors on the financial independence of young people. The results of the sample analysis provide adequate evidence to reject the correlative relationship between family and group factors and the financial independence of young people. In addition, there are 3 factors, including demographic factors, monetary factors, and psychological factors, all have varying degrees and directions of influence on young people’s financial independence. Most of the mentioned variables reflect a positive effect on financial independence. The only exception is the education variable, illustrated by its negative standardized beta value. A significant difference in financial independence between genders also is reported, suggesting that males seem to have a higher level of financial independence than females.

Environmental-friendly method for preparing CoFe2O4 coated biopolymer extracted from dragon fruit peel: Characterization and application as nanocomposite adsorbent for removal of As(III) pollutants from aqueous solution

Lan Huong Nguyen,Van Son Le,Luu Dung Tran,Nam Van Thai,Ho Thi Ngoc Tram,Bui Quang Minh,Van Huy Nguyen 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.118 No.-

This study successfully developed a low-cost adsorbent from compositing between magnetic nanoparticle(CoFe2O4) and dragon fruit peel-derived biopolymer (DFP-BP) and applied it to remove arsenite (As(III)) from contaminated water. The batch experiments were designed to study the influence of operationalparameters on As(III) adsorption by nanocomposite (CoFe2O4@DFP-BP). With mapping analysis,the synthesized CoFe2O4@DFP-BP was characterized using SBET, SEM, FTIR, XRD, and EDS mapping. TheAs(III) adsorption mechanism was discussed based on material property data and isotherm and kineticanalysis. The result suggests that 5% is the best modification ratio on the CoFe2O4@DFP-BP for As(III)adsorption. The highest adsorption capacity of As(III) under the optimal conditions of pH 7, adsorbentdosage of 1.6 g/L, initial As(III) concentration of 2000 lg/L and the best described by the Sips modelwas 1922.7 lg/g. The adsorption kinetic followed pseudo-second-order, proving As(III) adsorption processcontrolled by chemisorption. The primary reaction pathway of As(III) adsorption on theCoFe2O4@DFP-BP5 was inner-sphere complexation through exchange between the nanoadsorbent’s surfaceand As(III) ions via oxygen-containing functional (carboxyl and hydroxyl) groups. The CoFe2O4 magneticnanoparticles coated by biopolymer overcame drawbacks, including low stability and mechanicalstrength of biopolymer and agglomerate trend of magnetic nanoparticles. The adsorption process washighly reversible and accessible in the separation of nanoadsorbent after adsorption by the magnet. Therefore, the nanocomposite formed from solid waste has excellent potential as a material for removingAs, contributing to sustainable development and feasibility in practical application.