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This paper examines the impact of macroeconomic volatility on stock volatility, both under normal conditions and during the COVID-19 pandemic in Vietnam.

We extend the existing Exponential Generalized Autoregressive Conditional Heteroskedasticity model by adding a new component: the thresholds – the levels of macroeconomic volatility at which the market may respond differently. These thresholds are estimated for both positive and negative volatility.

The impact of macroeconomic volatility on stock volatility is asymmetric: there are thresholds of macroeconomic volatility at which its pattern changes. These thresholds are higher in the case of positive volatility compared with negative volatility. The thresholds were also higher during the COVID-19 pandemic. Macroeconomic variables influence stock volatility differently depending on market conditions. While GDP is more significant in normal periods, interest rates affect it in both normal and unstable phases.

Our models consider only two variables representing macroeconomic variables: interest rate and GDP. Furthermore, only one lag period of the variables is included in the analysis. In the future, more macrovariables and longer lags could be included when computational techniques advance.

Policymakers should consider the impact of macroeconomic volatility on the stock market when designing policies, especially at thresholds. Similarly, investors should pay more attention to macroeconomic volatility when constructing and managing their portfolios, particularly when such volatility is close to thresholds.

The inclusion of thresholds as parameters to be estimated into the model provides more insights into the impact of macroeconomic variables on stock volatility.

The purpose of this paper is to identify the critical parameters of the Vietnam coffee industry and develop a comprehensive structural relationship to rank them for effective sustainable development.

The team of ten experts, having experience of over eight years in the field of various coffee industries in Vietnam, was created to give scores to multiple parameters. Technique for order of preference by similarity to ideal solution (TOPSIS) technique is used to develop the model for fifteen key parameters and then to rank them.

From the data analysis and results, marketing and brand innovation, product quality, strategic planning and implementation have emerged as top three key parameters while new technology development, supply chain and logistics management, and alliance-joint venture are identified as the bottom three parameters. The findings provide a rank of parameters that help to other coffee industries to identify their key parameters. Besides, the key parameters defined as necessary inputs show the firms more active and well-prepared comprised of ten companies.

The key parameters of the success of any organization are essential contributions. Aiming to improve organizational performance, metrics should be identified as the source of strength to achieve high productivity, profitability and sustainable business performance.

The emphasis of study on key parameters will help organizations to achieve competitive advantage and high productivity for high sustainability in an organizational context.

This paper aims to demonstrate low-temperature bonding for piezoelectric materials at temperatures well below the relevant Curie temperatures so as to avoid depolarization of the piezoelectric material during bonding.

Au-coated test samples of lead zirconate titanate (PZT) are bonded to a WC-based resonant backing layer with In–Bi eutectic material in which the In–Bi metal system is a preform or thin, evaporated layers. The bonded samples are characterized using electrical impedance spectroscopy and cross-section microscopy. The first technique verifies the integrity of polarization and reveals the quality of the bondline in a non-destructive manner, particularly looking for voids and delaminations. The latter technique is destructive but gives more precise information and an overview of the structure.

Successful low-temperature (115°C) bonding with intact PZT polarization was demonstrated. The bondlines show a layered structure of Au/Au–In intermetallic compounds (with Bi inclusions)/Au, capable of withstanding temperatures as high as 271°C before remelting occurs. For bonded samples using In–Bi preform, repeatable bonds of high quality (very little voiding) were obtained, but the bonding time is long (1 h or more). For bonded samples using evaporated thin films of In–Bi, bonding can be performed in 30 min, but the process needs further optimization to be repeatable.

Low-temperature solid-liquid interdiffusion (SLID) bonding is a novel technique, merging the fields of low-temperature solder bonding with the SLID/transient liquid phase (TLP) approach, which is normally used for much higher temperatures.

Most governments around the world rely heavily on tax revenue to fund not only their recurrent expenditure but also their long-term development goals. There is some evidence suggesting that tax evasion in Vietnam has, over the years, been on the rise in terms of number, scale and degree of sophistication. It may thus be beneficial to understand the extent to which various relevant psychological factors interact to influence the tax compliance of Vietnamese taxpayers. This chapter attempts to quantify the effects of taxpayer's emotion, trust and perception on their tax compliance in Vietnam. It adopts a positivist research framework, a quantitative research method and primary data collection. First, a simple, theoretical model in which emotion and trust affect tax compliance both directly and indirectly through perception as a mediating variable, is constructed. The Baron−Kenny method is then applied to the data collected from an e-survey to test various hypotheses derived from the devised theoretical model. The results show that taxpayer's perception positively and significantly influences tax compliance whereas emotion and trust exert significant and positive effects on tax compliance both directly and indirectly (via perception). The findings suggest that voluntary tax compliance in Vietnam can be improved through better tax administration services, more fiscal policy accountability and pro-active tax socialization.

This study aims to investigate the cognitive factors and e-social interactions that influence the green purchase intention of Vietnamese consumers.

This study conducted the survey with 453 samples of young consumers in Vietnam, using the partial least squares structural equation modeling approach to evaluate the measurement quality to deal with research objectives.

The findings of this study demonstrate that cognitive factors positively impact green purchase intentions in Vietnam. Moreover, the analysis revealed that the attitude variable played a mediating role in this model, whereas the social norms factor did not.

This study presents several valuable findings on the green purchase intentions of young Vietnamese consumers. Therefore, the results can potentially advance and strengthen green purchasing theories in the Vietnamese market. Moreover, the recommendations indicate that cognitive factors and e-social interactions are crucial in shaping green purchasing intentions among Vietnamese consumers. Thus, it is suggested that the firms in the Vietnamese market focus on green marketing based on leveraging these factors.

This work provides a valuable contribution to the knowledge related to cognitive and e-social interactions among young Vietnamese consumers. It demonstrates the significant impact of these elements on green purchase intentions through e-commerce.

The COVID-19 pandemic has wrought havoc on economies around the world. The purpose of this study is to learn about the distributional impacts of the pandemic.

The authors contribute new theoretical and empirical evidence on the distributional impacts of the pandemic on different income groups in a multicountry setting. The authors analyze rich individual-level survey data covering 6,082 respondents from China, Italy, Japan, South Korea, the United Kingdom and the United States. The results are robust to various econometric models, including ordinary least squares (OLS), Tobit and ordered probit models with country-fixed effects.

The authors find that while the outbreak has no impact on household income losses, it results in a 63% reduction in the expected own labor income for the second-poorest income quintile. The pandemic impacts are most noticeable for savings, with all the four poorer income quintiles suffering reduced savings ranging between 5 and 7% compared to the richest income quintile. The poor are also less likely to change their behaviors regarding immediate prevention measures against COVID-19 and healthy activities. The authors also found countries to exhibit heterogeneous impacts.

Designing tailor-made social protection and health policies to support the poorer income groups in richer and poorer countries can generate multiple positive impacts that help minimize the negative and inequality-enhancing pandemic consequences. These findings are relevant not only for COVID-19 but also for future pandemics.

The authors theoretically and empirically investigate the impacts of the pandemic on poorer income groups, while previous studies mostly offer empirical analyses and focus on other sociodemographic factors. The authors offer a new multicountry analysis of several prevention measures against COVID-19 and specific health activities.

This study aims to integrate the perspective of consumer social responsibility with the theory of planned behavior to explore the impact of environmental corporate social responsibility (ECSR) initiatives on intention to buy environmentally friendly products among Vietnamese consumers. Also, the moderating role of gender on the associations of antecedents and green purchase intention is tested in this study.

The data of 823 consumers using the tool of the mall-intercept survey recruited from several big cities in Vietnam. Cronbach’s alpha and confirmatory factor analysis has been used to test the reliability and validity of scales; then, structural equation modeling and PROCESS approach was used to test the fitness of the research model, formulated hypotheses and the indirect associations.

This study presented that ECSR initiatives were strongly and positively correlated with attitude towards green products, subjective norms, perceived behavioral and green purchase intention. Perceived behavioral control was found to be a partial mediator in the link between ECSR initiatives and intention to engage in pro-environmental consumption while the meditating roles of attitude towards green products and subjective norms in this linkage were not statistically significant. Additionally, this study illustrated that the impacts of subjective norms, perceived behavioral control and ECSR initiatives on green purchase intention were stronger for females than males.

This study provides several useful insights for policymakers and administrators to foster pro-environmental behavior of consumers as well as to inspire corporate social responsibility (CSR) activities of firms.

Even though there is a growing interest in investigating the impacts of CSR activities on consumers’ purchase behaviors, there is a lack of studies considering the aspect of consumer social responsibility on their sustainable consumption behavior. There is a need to enrich one’s knowledge about the effect of ECSR initiatives on consumer’ green purchase intention.

The paper investigates the production inefficiency of the US electricity industry in the wake of restructuring and emission reduction regulations.

The study estimates a multiple-input, multiple-output directional distance function, using six inputs: fuel, labor, capital and annualized capital costs of sulfur dioxide (SO₂₎, nitrogen oxides (NO_X) and particulate removal devices, two good outputs – residential and industrial-commercial electricity and three bad outputs – SO₂, carbon dioxide (CO₂) and NO_X emissions.

The authors find that restructuring in electricity markets improves deregulated utilities' technical efficiency (TE). Deregulated utilities with below-average NO_X control equipment tend to invest less in these devices, but above-average utilities do the opposite. The reverse applies to particulate removal devices. The whole sample spends more on NO_X, particulate and SO₂ control systems and reduces its electricity sales slightly. Increased investments in SO₂ and NO_X control equipment do not reduce SO₂ and NO_X emissions, but expansions of particulate control systems cut down SO₂ emissions greatly. Stricter environmental regulations have probably shifted the production frontier inwards and the utilities farther from the frontier over time.

Restructuring and environmental regulations do not make all utilities invest more in emission control systems. The US government should devise other schemes to achieve this goal.

The paper unveils heterogeneous reactions of US electric utilities in the wake of restructuring and emission regulations.

There is a need for research examining how governments and firms responded to the coronavirus disease (COVID-19) pandemic. This study investigates the interdependence between governments and innovative small and medium-sized enterprises (SMEs) during the pandemic in relation to the dynamic capabilities and resource dependence theories.

We use World Bank survey data collected immediately before and after the COVID-19 outbreak and a generalized structural equation model to examine the mediating role of government support in the relationship between firm innovation, resilience and survival.

Innovative SMEs exhibited higher resilience and a better chance of survival during the pandemic, partly due to attracting more government support.

This study offers a novel understanding of the government’s role in supporting innovative SMEs during the pandemic. The findings have implications for how government support policies can limit the deadweight effect and the substitution effect.

The purpose of authentic assessment can enrich students with a set of skills that can have a significant impact on their employability. The key aim of these actions is to equip students with the practical skills to be work ready. The focus here is to demonstrate effects on student satisfaction and observations from teaching staff accrued over several semesters in an educational institution after introducing authentic assessments.

This paper used a set of scaffolded authentic assessments for students in logistics and supply chain management (LSCM). A combination of literature and expert input was used to design and implement the authentic assessment. A multi-phase systematic approach using cyclical model steps articulated the course learning outcomes (CLOs).

Reinforced evidence that authentic assessments create options for divergent learners and provide opportunities for applying practical and higher-order cognitive skills in tertiary education system of an emerging economy. With the focus on student ability in doing things, students with diversified backgrounds and abilities in Asia can be encouraged to take an active role in their own learning. The formats of the newly redesigned assessments allow multidimensional cognitive capabilities such as art development (posters and video tasks) and reflective exercises. Importantly, formative types of authentic assessments help to decrease the level of anxiety by emphasising the aspect of doing and lead to better student satisfaction with the courses. All of these effects are shown to be repeatable in an Asian economy.

Authentic assessments prepare students for the new world of work through a more focused scaffolding of their learning.

Stimulation of deeper learning in tertiary education students is relevant for a top performing Asian economy.