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This paper aims to investigate the efficiency and performance of the Islamic banking industry amid the COVID-19 pandemic.

The authors used a two-stage data envelopment analysis to first estimate the efficiency of 78 Islamic banks (IBs) across 15 countries for the 2005–2020 period (a total of 782 bank-year observations) and then to examine their determinants, including the COVID-19 pandemic.

The authors found that the Islamic banking industry performed at a moderate level during the 2005–2020 period, providing evidence that IBs are resilient to the financial shocks created by COVID-19. The authors also found that bank-level characteristics (such as bank size) and country-level characteristics (such as inflation) can contribute to the bank’s operational efficiency.

The results of this study suggested that banking management and government macroeconomic policy, especially in terms of precautions and continuous support, are important for IBs to improve their performance.

To the best of the authors’ knowledge, this is the first study to examine the efficiency and performance of IBs amid COVID-19.

This study aims to examine the extent to which farmers are aware of climate change and how they have modified their growing practices in response to perceived climate changes.

A logit model was used to explore farmers’ awareness and a binary logistic model was used to analyze their adaptive responses. Data from 335 farm households were collected from three provinces of Northwest Vietnam with different climate change vulnerability.

Farmers’ awareness of climate change was related significantly to household and farm characteristics. Farm experience, education level, location, tenancy status, soil fertility, access to credit, climate information, agricultural extension services, farmer groups, non-agriculture income, distance to market and house and climate change experience influence adaptation measure choices.

These findings suggest that investment strategies must promote adaptation to climate change by supporting technological and institutional methods, such as education, markets, credit and information.

This study is the first study that uses econometric models to analyze farmers’ perception effect and adaptation to climate change aspect in Northwest Vietnam

This paper aims to investigate the impact of the COVID-19 pandemic on university students' employability skills and give insights into preparation for future crises that may happen.

Employing an interpretative phenomenological approach with the frame of social cognitive theory, the current study examined the changes in environmental, behavioral and personal elements of human functioning for employability skills being affected by the conditions during the pandemic.

Findings based on ten in-depth semi-structured interviews with students at universities in Vietnam highlighted that the global pandemic performed as both challenge and an opportunity for employability skills development, yet the extent to which the students can benefit from the new studying conditions attributed to each individual's initiatives in taking advantages of resources and acting against difficulties.

Whether the pandemic became a hindrance or a motivation for students' employability skills to develop and whether students effectively utilized an agency to overcome challenges and improved their skills after the pandemic have not yet been investigated. This study added to the body of literature regarding self-regulated learners by demonstrating agency in the learning process as well as how to manage careers and improve employability skills by making use of resources in disconnected settings.

The purpose of this paper is to investigate factors affecting Vietnamese people’s sustainable tourism intention (IN) with extended the theory of planned behavior (TPB).

Preliminary quantitative research was carried out before large-scale formal quantitative research with a sample size of 628 Vietnamese people. Using the partial least squares structural equation modeling method with the SmartPLS tool, measurement and structural models 3.0 were evaluated before testing the research hypotheses about the influence of factors on the IN of sustainable tourism.

This study uses the extended TPB model with original constructs and two additional constructs, travel motivation (TM) and moral reflectiveness (MR), to find out the factors affecting the sustainable tourism IN of Vietnamese people. All hypotheses are accepted, except for the hypothesis about the relationship between TM and attitude toward sustainable tourism. MR has been shown to have a more positive and stronger (insignificant) effect than other factors of the proposed research model on sustainable tourism IN. Thereby, this study contributes both theoretically and practically to policymakers, researchers and tourism enterprises in promoting sustainable tourism IN.

The main limitation of this paper is the deliberate sampling method and targeting the demographic proportion corresponding to the population has lost the randomness of the survey sample.

The findings indicate that state management agencies and tourism enterprises in Vietnam need to pay attention to communication to raise awareness of environmentally oriented tourism and promote the ability to participate in sustainable tourism at a reasonable price as well as the opportunity for easy access and, at the same time, take measures to influence TM and have communication strategies that address the ethical value of participating in sustainable tourism.

To the best of the authors’ knowledge, this paper is the first empirical study to contribute to the existing literature on tourism by integrating TPB constructs with TM and MR to predict sustainable tourism IN.

This study aims to evaluate the impact of climate change on some specific areas of agricultural production in Quang Nam Province, including assessing the possibility of losing agricultural land owing to sea level rise; assessing the impact on rice productivity; and, assessing the impact on crop water demand.

This study used the method of collecting and processing statistics data; method of analysis, comparison and evaluation; method of geographic information system; method of using mathematical model; and method of professional solution, to assess the impacts of climate change.

Evaluation results in Quang Nam Province show that, by the end of the 21st century, winter–spring rice productivity may decrease by 33%, while summer–autumn rice productivity may decrease by 49%. Under representative concentration pathway (RCP) 4.5 scenario, water demand increases by 31.1% compared to the baseline period, of which the winter–spring crop increases by 28.4%, and the summer–autumn crop increased by 34.3%. Under RCP 8.5 scenario, water demand increases by 54.1% compared to the baseline period, of which the winter–spring crop increases by 46.7%, and the summer–autumn crop increased by 63.1%. The area of agricultural land likely to be inundated by sea level rise at 50 cm is 418.32 ha, and at 80 cm, it is 637.07 ha.

To propose adaptation solution to avoid the impacts of climate change on agriculture, it is necessary to consider about the impact on losing land for agriculture, the impact on rice productivity, assess the impact on crop water demand and other. The result of this assessment is useful for policymakers for forming the agriculture development plan.

Nowadays, under climate change contexts, natural disasters are becoming stronger in intensity and probability. The impacts of natural disasters on people and the environment are also getting worse. The purpose of this study was conducted to provide a method of assessing disaster risks, in particular, floods for human life in Mid Central Vietnam.

The pre-disaster assessment method was used based on the analysis of hazard factors (Hazard-H), exposure to hazards (Exposure-E) and vulnerability (Vulnerability-V).

Flood disaster risks in the area are assessed and displayed on spatial maps. The districts in coastal plains of Quang Ngai and Thua Thien Hue provinces have the highest levels of risk. These assessments will play an important role in supporting flood prevention and mitigation in the region.

According to the authors, this is the first study assessing the flood risk in Vietnam on the pre-disaster perspective. The assessment provides a plain point of view on natural disaster impacts that supporting disaster prevention services.

This paper aims to develop a multi-hazard risk assessment method based on probability theory and a set of economic, social and environmental indicators, which considers the increase in hazards when they occur concurrently or consecutively.

Disaster risk assessment generally considers the impact and vulnerability of a single hazard to the affected location/object without considering the combination of multiple hazards occurring concurrently or consecutively. However, disasters are often closely related, occurring in combination or at the same time. Probability theory was used to assess multi-hazard, and a matrix method was used to assess the interaction of hazard vulnerabilities.

The results of the case study for the Mid-Central Coastal Region show that the proportions of districts at a very high class of multi-hazard, multi-vulnerabilities and multi-hazard risk are 81%, 89% and 82%, respectively. Multi-hazard risk level tends to decrease from North to South and from East to West. A total of 100% of coastal districts are at high to very high multi-hazard risk classes. The research results could assist in the development of disaster risk reduction programs towards sustainable development and support the management to reduce risks caused by multi-hazard.

The multi-risk assessment method developed in this study is based on published literature, allowing to compare quantitatively multiple risk caused by multi-hazard occurring concurrently or consecutively, in which, a relative increase in hazard and vulnerability is considered. The method includes the assessment of three components of disaster risk including multi-hazard, exposure and multi-vulnerability. Probability and Copula theories were used to assess multi-hazard, and a matrix method was used to assess the interaction intensity of multi-vulnerabilities in the system.