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.

The paper aims to investigate the impact of foreign direct investment (FDI) on private investment with a sample having 49 developing countries in Asia (17 countries) and Africa (32 countries) during the period of 1990-2017. Unlike previous studies, we split the data into three groups for further analysis, including the Asian, African and the full-panel samples. The results confirm a crowding-in effect which shows that foreign direct investment promotes private investment on all three research samples. Besides, the lagged private investment has a positive and significant effect on itself in the next period which reflects the inertia in the trend of private investment in recipient countries. In the full-panel sample, there are some macro factors such as GDP per capita, trade openness, and electricity that also have a positive and statistically significant impact on private investment. Besides, when more deeply estimate with smaller samples, we find that trade openness and labour force have a positive and significant in Africa, on the other hand, not in Asia. However, the domestic credit variable has a negative and significant effect on private investment only in Asian developing countries. Furthermore, there is only a positive and significant impact of the electricity variable on private investment in Asia.

The study examines the impact of international integration on Vietnam's rural and urban income inequalities using the regression model. The data used for this study is based on the results of the Vietnam Household Living Standards survey from 2008 to 2016 of the General Statistics Office. These surveys conducted nationwide with a sample size of 46,995 households in 3,133 communes/wards which were representative at national, regional, urban, rural and provincial levels. The level of international economic integration used in the study is the proportion of import and export turnover of GDP, the proportion of FDI and GDP by province. Due to the heterogeneity and unobservableness of the single observant in the data set, we selected the models of random and fixed effects. The research results show that during the economic integration process, the Export/GDP factor is negatively related to income inequality. The remaining factors (GDP per capita, FDI/GDP, Educational level of households, Percentage of internet users, Aggregation of foreign cash inflow and GDP of the province) are all positively related to income inequality. The findings help assess the impact of international integration on rural-urban income inequality, but also provides a concrete basis to help policymakers address income inequality in the integration process.

This paper investigates the impact of working capital management on the firm’s profitability. The research sample includes 119 non-financial listed companies on Vietnam stock market over a period of 9 years from 2010 to 2018. Two statistical approaches include Ordinary least squares (OLS) and fixed effects model (FEM) are employed to address econometric issues and to improve the accuracy of the regression coefficients. The empirical results show the negative and significant impacts of the working capital management, which measured by cash conversion cycle (CCC) and three components of the CCC including accounts receivable turnover in days (ARD), inventory turnover in days (INVD), and accounts payable turnover in days (APD) on the firm’s profitability measured by return on assets (ROA) and Tobin’s Q. It implies that firms can increase profitability by keeping the optimization of the working capital management measured by the CCC, which includes shortening the time to collect money from clients, accelerating inventory flow and hold the low payment time to creditors. Besides, the profitability of firms was impacted by the sale growth rate, firm size, leverage, and age. Therefore, this paper provides a new insight to managers on how to improve the firm’s profitability with working capital management.

The study aims to investigate the impact level of earnings quality on firm value. The study has used data with 3,910 observations at listed firms on Vietnam Stock Exchange for the period from 2010 to 2018, and GLS regression analysis is employed in this research. Earnings quality is measured in the aspects of earnings management, earnings persistence, and timeliness of profitability. This study also considers a number of controlled variables that positively influence the firm's value such as firm size, fixed asset investment rate and dividend payout ratio. The results show that earnings quality is positively associated with firm value with having statistical significance. In contrast, some determinants negatively influence firm value such as financial leverage, ratio of market value to book value, and revenue growth. Determinants of firm size, the rate of investment in fixed assets, the rate of dividend payment positively affect the firm value. In contrast, determinants of financial leverage, revenue growth rate and market value to book value ratio are inversely related to firm value according to economic value, Tobin’s Q or Price. Based on the findings, some recommendations are proposed for investors, management and policy makers as well in the context of emerging countries including Vietnam.

Purpose: Agriculture, which is heavily influenced by climate conditions, is one of the industries most affected by climate change. In this respect, various studies on the impact of climate change on the agricultural market have been conducted. Since climate change is a long-term phenomenon for more than a decade, long-term projections of agricultural prices as well as climate variables are needed to properly analyze the impact of climate change on the agricultural market. However, these long-term price projections are often major constraints on studies of climate changes. The purpose of this study is to analyze the impacts of climate changes on the Korean onion market using ex-post analysis approach in order to avoid the difficulties of long-term price projections. Research design, data and methodology: This study develops an annual dynamic partial equilibrium model of Korean onion market. The behavioral equations of the model were estimated by OLS based on the annual data from 1988 to 2018. The modelling system is first simulated to have actual onion market conditions from 2014 to 2018 as a baseline and then compared it to the scenario assuming the climatic conditions under RCP8.5 over the same period. Scenario analyses were simulated by both comparative static and dynamic approach to evaluate the differences between the two approaches. Results: According to the empirical results, if the climate conditions under RCP8.5 were applied from 2014 to 2018, the yield of onion would increase by about 4%, and the price of onion would decrease from 3.7% to 17.4%. In addition, the average price fluctuation rate over the five years under RCP8.5 climate conditions is 56%, which is more volatile than 46% under actual climate conditions. Empirical results also show that the price decreases have been alleviated in dynamic model compared with comparative static model. Conclusions: Empirical results show that climate change is expected to increase onion yields and reduce onion prices. Therefore, the appropriate countermeasures against climate change in Korean onion market should be found in the stabilization of supply and demand for price stabilization rather than technical aspects such as the development of new varieties to increase productivity.

이 논문에서는 최근 사회적인 이슈로 대두된 바닥충격음 중 특히 중량충격음을 저감시키기 위한 방법의 일환으로, 바닥슬래브의 두께를 증가시키는 기존의 방식과는 달리 평판형 슬래브에 장선을 설치하여 바닥슬래브의 강성을 증가시킴으로써 고유진동수의 이동을 통한 중량충격음의 저감 효과를 기대할 수 있는 장선바닥슬래브를 제안하고, 장선의 춤과 간격에 따른 중량충격음 특성을 해석적으로 분석하였다. 해석결과, 장선슬래브의 슬래브 두께가 증가할수록 음압레벨이 감소하는 경향을 나타내었으나 일정 두께 이상에서는 큰 차이를 보이지 않아 바닥두께 증가로 인한 중량충격음 차단 기대효과에는 임계치가 있을 것으로 판단된다. 또한 장선 춤의 증가와 간격 감소에 따른 바닥강성의 증가는 일관된 중량충격음 차단성능의 증가로 이어지지 않아 최적의 중량충격음 차단성능을 기대하기 위해서는 주택의 유형별로 각기 다른 장선 춤과 간격이 적용되어야 할 것으로 판단되며, 100mm 정도 장선 춤의 증가나 간격 감소로 약 1dB~2dB정도의 중량충격음 감소효과를 얻을 수 있을 것으로 기대된다.

This study focuses on determining the impacts of organizational culture on the accounting information system and the operational performance of small and medium-sized enterprises in Ho Chi Minh City. The paper is organized in five parts: introduction, literature review, research methodology, research results, and conclusion and policy implications. Based on the samples of 353 respondents working in small and mediumsized enterprises in Ho Chi Minh City, the research employs both qualitative and quantitative methods to find the answers for research questions. Group discussion, which yields final observed variables of the factors of organizational culture is used for qualitative method. Statistics, assessment of the reliability of Cronbach's Alpha scale, exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM) are used for quantitative procedure. The results show that mission, involvement and inconsistency in organizational culture positively affect the accounting information system of small and medium-sized firms in Vietnam. In addition, mission, involvement, adaptability and consistency in organizational culture are found to have positive impacts on the firm operational performance. Another finding of the study is that the accounting information system has a positive effect on operational performance of small and medium-sized firms in Vietnam.

This study explored the impact of interactional justice on supply-chain collaboration and sustainable supply-chain performance. Accordingly, it classified interactional justice of supply-chain management (SCM) into interpersonal and informational justice, and empirically classified the effects of these subordinate concepts on supply-chain collaboration and sustainable supply-chain performance. To this end, 700 questionnaires were distributed, and 201 final valid responses were used for the statistical analysis which revealed the significant positive influence of interpersonal justice on informational justice. This indicates that courtesy, respect, and proper words are important in the relationship between buyers and sellers. Both interpersonal and informational justice had a significant positive relationship with supply-chain collaboration. The results suggest that a fair-trade environment should be cultivated to encourage and facilitate seller-buyer collaboration. Lastly, supply-chain collaboration had a positive influence on sustainable supply-chain performance. This implies that if justice is not perceived in the seller-buyer relationship, collaboration can be hindered, which negatively impacts corporate performance. These findings also helped to understand the importance of interactional justice and to propose a new relationship between interpersonal and informational justice.

Studies related to Electronic Word-of-Mouth (eWOM) show that the acceptance of eWOM information is an important factor in customer purchase decisions. When consumers accept eWOM information, they tend to use that information in considering before making purchase decisions. In Viet Nam, there are few studies about eWOM information, especially on the acceptance of eWOM information. Research is conducted to test the influence of consumers on the perception of the senders’ identity to the acceptance of online reviews (a kind of eWOM) in Viet Nam – a case study in Ho Chi Minh City. Using adjustment techniques, inspecting the scales and a theoretical model represent the relationship among the influential factors. The research is based on a sample of 522 consumers who use the Internet to search for product reviews before buying and used Structural Equation Modeling (SEM) to test the relationships among the variables. The research results show that the scales of the variables: Message Quality, Source Credibility, Perceived Message Usefulness, Perceived Senders’ Identity, Perceived Message Credibility, Message Acceptance attain the validity and reliability in the research. The research contributes to the understanding of the determinants that influence the acceptance of eWOM information, which are informational factors, and factors related to consumer skepticism.

The main purpose of this study is to examine the impact of intellectual capital disclosure (ICD) on firm performance in the pharmaceutical and chemical industry of Bangladesh. In this study, 21 listed pharmaceutical and chemical companies have been selected as sample for 2016 and 2017. This study used the intellectual capital disclosure index developed by Rahman, Sobhan, and Islam. Return on assets and return on equity have been used as the proxy variable of firm performance. In this study, content analysis is performed to assess the level of disclosure regarding intellectual capital and pooled cross-sectional analysis is used to assess the relationship between ICD and firm performance. The study has found a positive and significant relationship between ICD and firm performance. Besides, an in-depth analysis of this study shows that all the components of ICD namely internal capital disclosure, external capital disclosure, and human capital disclosure are also positively and significantly associated with firm performance. The study suggests the development of an intellectual capital disclosure framework by the regulatory authority for mandatory compliance. This will improve the quality and quantity of ICD in the annual reports. Besides, firms should more emphasize on ICD which will help to improve their performance.

Korea-US FTA amendment became effective January 1, 2019 through several trade negotiations between the two countries. These amendments did not include changes in the agricultural sector. However, given the policy direction of the Trump administration, it is difficult to be certain that the existing Korea-US FTA on the agricultural sector will remain unchanged. This study examines the potential impact of changes in the US beef import tariff rates under the Korea-US FTA, which is progressively eliminated until 2026 using a dynamic partial equilibrium model. The modelling system is simulated with 100% decreases of tariff rates over 2020~2026 period and then compared to the baseline which is developed based on the current Korea–US FTA tariff rates. According to the scenario analyses results, 100% decreases of US beef tariff rate lowered Korean beef cattle production value up to 4.23%. Looking at this change in terms of absolute value rather than percentage, the total production value over 2020~2026 is expected to decrease by 815 billion won compared to Baseline. This reduction in production value in dynamic analysis is 67 billion won higher than the comparative static analysis.

This study presents a more comprehensive approach to investigate how Emotional Intelligence (EI) is associated with performance. Previous research has revealed that EI is related to positive outcomes such as better performance, life satisfaction and career success. However, in most research of EI, this factor has been investigated independently from the effect of contextual factors and other individual characteristics. This study extended the research on the impact of EI on student performance by simultaneously examining the impact of EI, individual factors - (1) Perseverance of Effort, (2) Goal Consistency and (3) Goal Clarity and learning environment factors - Program Fit in one study. The results based on the data collected from 1,117 students in Vietnam largely support the hypothesis that that EI was an important but not the only factor affecting the student performance. MANOVA and post-hoc analysis indicated that both individual and environmental factors better predicted performance than EI could. These results suggest that the impact of EI on individual performance is more complicated than what we have already known. Future study is encouraged to investigate both the mechanism through which EI impact individual performance and the interaction between EI and other factors that moderate the EI – performance relationship.

Balanced Scorecard (BSC) is one of basic contents of managerial accounting. Balanced Scorecard (BSC) will help the manager to measure and evaluate the operating performance in enterprises. Therefore, providing the theory base as well as in fact with regards to apply with Balanced Scorecard, impact of applying with Balanced Scorecard on the performance of company, from then providing for the managers with the base to promote on applying the Balanced Scorecard in Vietnamese Enterprises aimed to improve the operating performance of enterprises meaningfully and neccessary. However, balanced scorecard in general is a very new content in both theoretical and practice in Viet Nam. The study aims to explore the application with Balanced Scorecard in enterprises according to 4 perspective of Balanced Scorecard in Vietnamese commercial banks. In the dimension of this paper, SPSS 22 was used to collect and analysis data, basing on the results of 109 questionnaires of managers and head of department from Vietnamese commercial banks. Research have shown impact of Balanced Scorecard on the performance of Vietnamese commercial banks. This is the scientific basis for enterprises of Vietnam in general and Vietnamese commercial banks firms in particular have a successful application of balanced scorecard to improve the business performance.

Purpose: This study investigated the effects of valuation errors on the capital market through the earnings forecasting errors of financial analysts. As a follow-up to Jensen (2005)'s study, which argued of agency cost of overvaluation, it was intended to analyze the effect of valuation errors on the earnings forecasting behavior of financial analysts. We hypothesized that if the manager tried to explain to the market that their firms are overvalued, the analysts’ earnings forecasting errors would decrease. Research design, data and methodology: To this end, the analysis period was set from 2011 to 2018 of KOSPI and KOSDAQ-listed markets. For overvaluation, the study methodology of Rhodes-Kropf, Robinson, and Viswanathan (2005) was measured. The earnings forecasting errors of the financial analyst was measured by the accuracy and bias. Results: Empirical analysis shows that the accuracy and bias of analysts' forecasting errors decrease as overvaluation increase. Second, the negative relationship showed no difference, depending on the size of the auditor. Third, the results have not changed sensitively according to the listed market. Conclusions: Our results indicated that the valuation error lowered the financial analyst earnings forecasting errors. Considering that the greater overvaluation, the higher the compensation and reputation of the manager, it can be interpreted that an active explanation of the market can promote the accuracy of the financial analyst's earnings forecasts. This study has the following contributions when compared to prior research. First, the impact of valuation errors on the capital market was analyzed for the domestic capital market. Second, while there has been no research between valuation error and earnings forecasting by financial analysts, the results of the study suggested that valuation errors reduce financial analyst's earnings forecasting errors. Third, valuation error induced lower the earnings forecasting error of the financial analyst. The greater the valuation error, the greater the management's effort to explain the market more actively. Considering that the greater the error in valuation, the higher the compensation and reputation of the manager, it can be interpreted that an active explanation of the market can promote the accuracy of the financial analyst's earnings forecasts.

The effects of liquid potassium permanganate (KMnO4) on the litter quality of poultry were investigated. Two-hundred -forty 0-day-old broiler chickens (Arbor Acres) were randomly assigned to two treatments with four replicated pens of 30 chickens each. Treatment liquid KMnO4 at a rate of 50 g of liquid KMnO4/kg of poultry litter was sprayed onto the litter surface using a small hand pump; others served as a control that was applied without liquid KMnO4 additions. Compared with controls, the treatment liquid KMnO4 showed no differences in pH, total nitrogen and ammonia concentration. It was concluded that liquid KMnO4 did not significantly increase poultry litter quality. Mechanisms relating to increasing litter pH and ammonia using liquid KMnO4 are an oxidant agent (not acid-foaming agents).

Asthmatics are more susceptible to fine particulate matters (PM2.5), compared to the general population. It has been reported that indoor PM2.5 is mainly generated by combustion of fossil fuels, meat or fish In particular, asthmatics are known to be more susceptible to indoor PM2.5 because 65 ∼ 95% of child or adult asthmatics stay inside the house. Thus, understanding the association between indoor activity patterns and variations in indoor PM2.5 levels is important. The purpose of this study is to determine the distribution of hourly indoor PM2.5 concentrations in asthmatics’ homes, and to evaluate its association with pan-frying cooking activity patterns, the most common PM2.5 emission related activity. From November 2017 to February 2018, real-time PM2.5 concentrations were measured in the living room of each asthmatic’s house (n = 35) for three weeks at 1 minute intervals. At the same time, self-reported daily activity patterns, hourly proportion (%) of cooking activities, were also recorded every hour over three weeks for each patient. In this study, we provided quantitative evidence that the distribution patterns of indoor hourly PM2.5 concentrations were associated with indoor cooking activities, especially in the homes of adult asthmatics. In addition, we observed that PM2.5 emitted by pan-frying could maintain even over up to 2 hour lagtime.

Recently, a variety of modeling studies have been conducted to examine the air quality over South Korea during the Korea United States Air Quality (KORUS-AQ) campaign period (May 1 to June 10, 2016). This study investigates the impact of different meteorological initializations on atmospheric modeling results. We conduct several simulations during the KORUS-AQ period using the Weather Research and Forecasting (WRF) model with two different initial datasets, which is FNL of NCEP and ERA5 of ECMWF. Comparing the raw initial data, ERA5 showed better accuracy in the temperature, wind speed, and mixing ratio fields than those of NCEP-FNL. On the other hand, the results of WRF simulations with ERA5 showed better accuracy in the simulated temperature and mixing ratio than those with FNL, except for wind speed. Comparing the nudging efficiency of temperature and wind speed fields, the grid nudging effect on the FNL simulation was larger than that on the ERA5 simulation, but the results of mixing ratio field was the opposite. Overall, WRF simulation with ERA5 data showed a better performance for temperature and mixing ratio simulations than that with FNL data. For wind speed simulation, however, WRF simulation with FNL data indicated more accurate results compared to that with ERA5 data.

The determination of soil parameters is important in predicting the simulated surface runoff using either a distributed or a lumped rainfall-runoff model. Soil characteristics can be collected using remote sensing techniques and represented as a digital map. There is no universal agreement with respect to the determination of a representative parameter from a gridded digital map. Two representative methods, i.e., arithmetic and predominant, are introduced and applied to both FLO-2D and HEC-HMS to improve the model’s accuracy. Both methods are implemented in the Yongdam catchment, and the results show that the former seems to be more accurate than the latter in the test site. This is attributed to the high conductivity of the dominant soil class, which is A type.

The determination of soil characteristics is important in the simulation of rainfall runoff using a distributed FLO-2D model in catchment analysis. Digital maps acquired using remote sensing techniques have been widely used in modern hydrology. However, the determination of a representative parameter with spatial scaling mismatch is difficult. In this investigation, the FLO-2D rainfall-runoff model is utilized in the Yongdam catchment to test sensitivity based on three different methods (mosaic, arithmetic, and predominant) that describe soil surface characteristics in real systems. The results show that the mosaic method is costly, but provides a reasonably realistic description and exhibits superior performance compared to other methods in terms of both the amount and time to peak flow.