367 research outputs found

    Second-tier stock market efficiency and dynamic impacts on macroeconomic development: evidence from tropical economies

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    Background: The Tropics has recently emerged as an important geopolitical region with an economic growth rate outperforming the rest of the world. Second-tier stock markets are wellacknowledged as a critical alternative source of funding for Small and Medium Enterprises (SMEs) and can be seen as a key catalyst for innovation. These markets, which offer several benefits for both SMEs and investors, have been increasingly established across the world since the 1990s. This thesis, therefore, centres around second-tier stock markets in the Tropics. Objectives and Scope of the Research: This thesis presents findings from the following three research studies: (1) Evolution of second-tier stock market efficiency and dual long memory in the market under the joint impacts of thin trading, structural breaks, and inflation; (2) Dynamic return and asymmetric volatility transmissions between main stock market and second-tier stock market while accounting for the effects of thin trading, volatility breaks and trading volume; and (3) Dynamic impacts of second-tier stock market development and innovation on macroeconomic indicators within a Kaleckian-Post-Keynesian growth model. Regarding the scope of the research, Hong Kong, Singapore, Thailand and Malaysia were selected for empirical analysis since these four economies are not only Asian 'tigers' and 'tiger cubs' but also levers for growth in the tropical region. Methodology: Study One adopted a State-Space Non-linear Generalized Autoregressive Conditional Heteroscedasticity in Mean (GARCH-M) model with Kalman Filter estimation to depict the evolution of weak-form market efficiency. A set of fractionally integrated models such as Autoregressive Fractionally Integrated Moving Average (ARFIMA), Fractionally Integrated GARCH (FIGARCH), Fractionally Integrated Asymmetric Power ARCH (FIAPARCH), and Hyperbolic GARCH (HYGARCH) were used to estimate dual long memory properties in return and volatility. The joint impacts of thin trading, structural breaks and inflation on dual long memory were examined using relevant adjustment techniques that involve an Iterated Cumulative Sum of Squares (ICSS) algorithm and a State-Space Linear AR model with Kalman Filter estimation. In Study Two, a Bivariate Vector Autoregressive (VAR) Asymmetric Baba-Engle-Kraft- Kroner (BEKK) GARCH model was adopted to investigate the dynamic transmissions of return and asymmetric volatility between main stock market and second-tier stock market. The ICSS algorithm was applied to detect multiple volatility breaks in the two stock markets and the State- Space Linear AR model with Kalman Filter estimation was used to adjust for thin trading in second-tier stock market. To control for the joint effects of thin trading, volatility breaks and trading volume, the Bivariate VAR Asymmetric BEKK-GARCH model was extended with a dummy variable indicating volatility breaks, an aggregate trading volume variable, and a dethinned return variable. Study Three was grounded on the Kaleckian-Post-Keynesian theoretical model of growth and distribution to explore the macroeconomic impacts of second-tier stock market development and innovation. This theoretical model is renowned for its effective demonstration of the integrated relationships among behavioural functions of an economy including private investment, domestic savings, income distribution, productivity growth, net exports and employment. In this study, the functions of private investment, domestic savings, productivity growth, and employment were extended with the indicators of second-tier stock market development and innovation. A Structural Vector Error Correction (SVEC) model with short-run restrictions and SVEC Impulse Response Function were adopted to delineate the dynamic impacts of second-tier stock market development and innovation on macroeconomic functions. Results: Study One reports that second-tier stock markets in Hong Kong, Singapore, Thailand and Malaysia are still weak-form inefficient; however, those in Hong Kong and Singapore show tendencies towards efficiency. These tendencies appear to align with the increasing market capitalisation and traded value and several institutional reforms. The inefficiency of the markets is mainly owing to the presence of stationary long memory in return and/or volatility. Thin trading, structural breaks and inflation jointly have diminishing effects on the magnitude and/or statistical significance of dual long memory estimates. In Study Two, Hong Kong shows return transmission from second-tier stock market to the main stock market, while Singapore, Thailand and Malaysia show return transmission in the reverse direction. Only Singapore exhibits volatility transmission from the main stock market to second-tier stock market. Thin trading, volatility breaks and trading volume jointly decrease (increase) the magnitude and significance level of return transmission from second-tier (main) market to the main (second-tier) market. The underlying volatility transmissions dissipate or strengthen in magnitude and significance level. Furthermore, the evidence exposes a causality and a long-run equilibrium relationship from Hong Kong's main market returns to the country's economic development. Given the aforementioned return transmission from second-tier market to the main market in Hong Kong, its second-tier market thus can make an indirect contribution to economic development through the main market channel. Study Three reports that second-tier stock market development and/or innovation in Hong Kong, Singapore, Thailand and Malaysia have small but positive effects on the economic growth process in the short run. Second-tier stock markets in Hong Kong, Singapore and Thailand foster growth through the combination of the following three channels: private investment, domestic savings, and productivity growth. On the other hand, innovation in all four countries promotes growth through the combination of the following four channels: private investment, domestic savings, productivity growth and employment. Conclusions: The results of Study One implies the efficacy of institutional reforms and the importance of market development to the tendency towards efficiency in second-tier stock markets of Hong Kong and Singapore. Ignoring thin trading, structural breaks and inflation while modelling dual long memory in return and volatility may overestimate the corresponding true values. Study Two and Study Three indicate that second-tier stock market in Hong Kong can make contribution to economic development directly and indirectly via return transmission with the main market channel. Meanwhile, second-tier stock markets in Singapore and Thailand can only make direct contributions to the economic growth process. Moreover, failure to account for thin trading, volatility breaks and trading volume may distort the transmissions of return and volatility between main markets and second-tier markets. Study Three also indicates a major role of innovation in Hong Kong, Singapore, Thailand and Malaysia in the process of macroeconomic development. Accordingly, this thesis contains many important implications for academics, policymakers and professional practitioners in developing and investing in second-tier stock markets

    反復測定スポット尿を用いたナトリウムおよびカリウムの24時間尿中排泄推定量と血圧との関連

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    Hypertension Research. 2019 Mar;42(3):411-418.滋賀医科大学平成30年

    Genetic variation in threatened conifer Cunninghamia lanceolata var. konishii using ISSR markers: Implications for conservation

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    We investigated the genetic variation of Cunninghamia lanceolata var. konishii, on basis of eight ISSR markers. Samples from 182 trees of four populations in the Thanh Hoa and Nghe An provinces were included in this study. The ISSR data showed low genetic variability at both population and species level, with an average of 0.1025 and 0.1357, respectively. Genetic differentiation among populations was high (Gst = 0.2554) indicating limited gene flow (Nm = 1.4575). The implication of the results from the study to conserve genetic resources of the species was proposed

    PRELIMINARY PHYTOCHEMICAL ANALYSIS OF LEAF EXTRACTS OFTHUJA ORIENTALIS (L.) ENDL

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    Abstract The objective of the present study was to investigate the presence of various phytochemicals from the methanolic, ethanolic, aqueous and ethyl acetate extracts of leaf extracts ofThujaorientalis (L.) Endl.Preliminary phytochemical screening of the extracts revealed the presence of alkaloids, flavonoids, terpenoids,tannins, phenols, anthraquinone, glycosides,oils and fats, and carbohydrates. The present study provides evidence that solvent extracts of Thujaorientalis (L.) Endlcontains medicinally important bioactive compounds and this justifies the use of plant species as traditional medicine for treatment of various diseases

    Motivation of EFL Vietnamese Students in Economics-related Majors

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    Motivation plays an essential part in learning, especially in second language acquisition (SLA). This paper investigates the learning motivation of Vietnamese economics-related majors studying English as a Foreign Language (EFL), utilizing Dornyei’s (2005) L2 motivational self-system as the theoretical framework. The subjects were 236 first-year and 99 second-year students. A mixed method research design with both quantitative and qualitative approaches was employed. The 6-point scale questionnaire was adapted from Dörnyei’s (2005, 2009), including 24 items to explore students’ Ideal L2 Self, the Ought-to L2 Self, the students’ attitudes and their effort in learning English. The quantitative data were analyzed with SPSS software for Mean, Standard Deviation, and correlations. The open-ended section and focus group interview probed further into the students’ motivation, influencing factors, as well as the student recommendations for stakeholders in order to enhance their motivation to learn English. The study proposes some implications for EFL instructors, curriculum developers, and administrators to promote students’ motivation in English learning

    Distribution and Characteristics of Microplastics in Nhue - Day River Basin, Vietnam

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    The prevalence of microplastics (MPs) in the environment has had a significant impact on ecosystems and posed a major threat to human health. This study investigated the distribution and characteristics of MPs in the Nhue - Day River basin in Vietnam, which is a critical source of biodiversity and used to support the economic growth of about 12 million people. The effect of seasonal variation and anthropogenic activities on the MP abundance was assessed. The findings revealed that the MPs abundance was significant in this study area. The average abundance of MPs in the dry season (754 items/m3) was insignificantly higher than that in the rainy season (706 items/m3) with n=9. The range in the abundance of MPs in the dry and rainy seasons was 49-2,827 and 400-1,133 items/m3, respectively. Microplastics in fiber forms were dominant in both seasons. The majority of the collected MPs were in the 0.5-2.0 mm size range, varying from 71% to 100% of the total MPs depend on sampling point. The total percentage of MPs size 0.3-0.5 mm in the dry season was 56.97% compared to 119.85% in the rainy season, indicating that the MPs were broken into smaller pieces due to UV exposure and weather conditions. Colored items occupied the majority of the MPs. This study can be used to gain a better knowledge of MP pollution in Vietnam’s river water

    PERCEPTIONS OF ENGLISH-MAJORED STUDENTS IN THE HIGH-QUALITY PROGRAM AT CAN THO UNIVERSITY TOWARD LEARNING ENGLISH THROUGH WATCHING MOVIES

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    This descriptive study aims to answer three main research questions, namely 1) What are the perceptions of English-majored students regarding the impact of watching English movies on their learning motivation?, 2) What are their perceptions of the impact of watching English movies on their language development?, and 3) What challenges do the students encounter when learning English through watching movies? In order to address these key questions, the data collected from 175 freshmen and juniors majoring in English Studies of the High-Quality Program at Can Tho University through a 5-point Likert scale questionnaire were quantitatively analyzed. The statistical analysis of the gathered data revealed that all the study participants strongly agreed with the positive impacts of watching English movies on their motivations to learn the target language as well as on their language development. Despite these positive effects, the students also admitted that they inevitably encountered several challenges while learning English through movie-watching, particularly in terms of rapid speech, extensive use of slang, and figurative language in English movies. Based on these research outcomes, possible implications have been further discussed for the effective use of movies in EFL classrooms to support the students’ learning process.  Article visualizations

    An Analytical Framework Considering the Effects of Online Teaching Quality on Student Satisfaction

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    COVID-19 spreads across the world in late 2019 has affected to several aspects of social life. One of the most important sectors, which face difficulties was education, thus most universities have transferred from traditional education to online education through the internet to make their academic year going. This study aims to review the effects of online teaching quality on student satisfaction, a positive attitude resulting from an evaluation of students’ online teaching experience in higher education. Through applying the SERVQUAL model to measure the effects of online teaching quality on students’ satisfaction, it can be expected to get better the online teaching quality of higher education institutions in Vietnam. Keywords: Online teaching, student satisfaction, higher education, COVID-19, educational institution. DOI: 10.7176/EJBM/13-6-08 Publication date:March 31st 202

    RMDM: A Multilabel Fakenews Dataset for Vietnamese Evidence Verification

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    In this study, we present a novel and challenging multilabel Vietnamese dataset (RMDM) designed to assess the performance of large language models (LLMs), in verifying electronic information related to legal contexts, focusing on fake news as potential input for electronic evidence. The RMDM dataset comprises four labels: real, mis, dis, and mal, representing real information, misinformation, disinformation, and mal-information, respectively. By including these diverse labels, RMDM captures the complexities of differing fake news categories and offers insights into the abilities of different language models to handle various types of information that could be part of electronic evidence. The dataset consists of a total of 1,556 samples, with 389 samples for each label. Preliminary tests on the dataset using GPT-based and BERT-based models reveal variations in the models' performance across different labels, indicating that the dataset effectively challenges the ability of various language models to verify the authenticity of such information. Our findings suggest that verifying electronic information related to legal contexts, including fake news, remains a difficult problem for language models, warranting further attention from the research community to advance toward more reliable AI models for potential legal applications.Comment: ISAILD@KSE 202
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