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This study examined the effects of short story reading on the improvement of grammar and global quality in EFL narrative writing. In addition, it also explored learners' attitudes toward short story reading on narrative writing performance. The 7-week study was carried out at a university in Mekong Delta, Vietnam, with 50 EFL learners at the pre-intermediate level. Participants were chosen and divided into an experimental group with the intervention of short story reading and a control group with course book reading. Two types of research instruments were used to collect quantitative data, including tests and survey questionnaires. Results showed that short story reading had positive effects on the improvement of grammar and global quality in EFL narrative writing. Moreover, the findings also showed the positive attitudes of EFL learners toward short story reading on narrative writing performance.

This study aimed to forecast the exchange rate between the Vietnamese dong and the US dollar for the following month in the context of the COVID-19 pandemic. It used the Support Vector Regression (SVR) algorithm under the Uncovered Interest Rate Parity (UIRP) theoretical framework; the results are compared with the Ordinary Least Square (OLS) regression model and the Random Walk (RW) model under the rolling window method. The data included the VND/USD exchange rate, the bank interest rate for the 1-month term, and the 1-month T-bill from January 01, 2020, to September 11, 2021. The research discovered a linear link between the two nations' exchange rates and interest rate differentials. Interest rate differentials are input variables to forecast interest rate differentials. Furthermore, the connection between the exchange rate and interest rate differentials during this era does not support the UIRP hypothesis; hence, the error for OLS predictions remains large. The study provided a model to forecast future exchange rates by combining the UIRP theoretical framework and the SVR algorithm. The UIRP theoretical framework can anticipate exchange rate differentials using the input variable and the interest rates between two nations. Meanwhile, the SVR algorithm is a robust machine learning technique that enhances prediction accuracy. Doi: 10.28991/ESJ-2022-06-03-014 Full Text: PDF

Vietnamese rice production has achieved remarkable success over the last couple of decades. This is due to land and market reforms, known as 'Doi Moi'. There were noticeable changes in policies, such as land and production systems, which were transformed from a collective to an individual contract system in the 1980s. Vietnam made progress in rice production through the legalisation of the privatisation of farm properties and a huge investment in irrigation systems. The country not only ensured its domestic demand, but also started exporting rice and gradually became the second largest exporter in the world. An estimate of the Constant Elasticity of Substitution function (CES) for Vietnam's rice production is essential for the government to design effective policy on agricultural production. This study makes the first attempt to estimate the nested CES model for Vietnamese rice production in 2012. The paper finds that the elasticity of substitution of Vietnam's nested CES model lies between 0.44 and 0.46. The results indicate the weak substitutability between land and the capital-labour composite in the nested CES model. This also suggests that it is impossible to take labour as the substitutable factor for land and capital.

This study aims to investigate the impact of the COVID-19 pandemic and how the government's intervention influenced the performance of Vietnamese stock market, including Ho Chi Minh and Hanoi stock exchanges, at the whole market level and especially at the sector-level. Panel data at the sector-level is obtained from 31 January 2020 to 23 July 2021 and divided into four different periods corresponding to the COVID-19 waves in Vietnam. GARCH (1,1) is used to predict stock market volatility and the random effect is employed in the panel regression model. The findings show that while stock market returns on the Ho Chi Minh stock exchange did not witness a significant change before and during the pandemic, empirical result indicates that stock market returns on the Hanoi stock exchange significantly changed. Stock market volatilities indicate a significant increase once the pandemic occurs in Vietnam on both stock exchanges. Specifically, the magnitude of the Covid-19 influence weakens over time. More importantly, we find that the intervention of the Vietnamese government significantly lessens the influence of the Covid-19 pandemic on the stock market, especially in the fourth period corresponding to the on-going wave of COVID 19. The results of this study might offer a useful reference for governors, investors, and other scholars in future public policies and empirical research.

"This book analyses tourism and development in Southeast Asia. Critically debating and offering new understandings of the dynamics of tourism on the global and local levels, it seeks to assesses its impact on residents and localities across the region. Offering a myriad of case studies from a range of different countries in the region, this book is interdisciplinary in nature, thereby presenting a comprehensive overview of tourism's current and future role in development. Divided into four parts, it discusses the nexus of tourism and development at both the regional and national levels, with a focus on theoretical and methodological foundations, protected areas, local communities, and broader issues of governance. Contributors from within and outside of Southeast Asia raise awareness of the local challenges, including issues of ownership or unequal power relations, and celebrate best-practice examples where tourism can be regarded as making a positive difference to residents' life. The first edited volume to examine comprehensive analysis of tourism in Southeast Asia as both an economic and social phenomenon through the lens of development, this book will be useful to students and scholars of tourism, development, Southeast Asian culture and society and Asian Studies more generally."

Cordyceps militaris (L.) Link is an important medicinal mushroom used in traditional medicine for treatment of many diseases and improving human health. C. militaris are now widely used in many modern pharmaceutical dosages. It contains many bioactive compounds such as cordycepin, adenosine, sterols, polysaccharides, etc. These compounds provided many beneficial biological activities such as anticancer, antiproliferative, pro-sexual, antioxidant, antibacterial, antifungal, antiviral, immunomodulatory, antiinflammatory and others for C. militaris. The present review highlights the chemical bioactive compounds and pharmacological activities of this medicinal mushroom C. militaris.