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This study aims to explore the nexus between insurance penetration and economic development in Vietnam, one of the fastest-growing economies over the past two decades.

This study uses an updated data set of the insurance sector in Vietnam from 1996 to 2020. The autoregressive lagging distribution and cointegrating non-linear autoregressive lagging distribution (NARDL) models are used to explore the nexus between the insurance market development and economic growth.

This study confirms the unidirectional causality and positive impacts of insurance market development on economic growth both in the short and long term, supporting the “supply-leading” hypothesis. Nonlife insurance has more significant but slower impacts on contributing to economic development in the long run. From the NARDL approach, this study also discloses the asymmetric relationship between the insurance industry and economic growth. Aggregate and life insurance display short- and long-term asymmetric impacts, whereas nonlife insurance shows long-term asymmetry.

To the best of the authors’ knowledge, this is the first study to examine the hidden asymmetries of the insurance-growth nexus in Vietnam from non-linear models. Notwithstanding the theoretical contributions to the prior literature, several practical implications are proposed for insurance businesses, policymakers and investors.

This study explores the economic impact of the COVID-19 crisis on herding behaviour in the Australian equity market by considering liquidity, government interventions and sentiment contagion.

This study utilizes a daily dataset of the top 500 stocks in the Australian market from January 2009 to December 2021. Both predictive regression and portfolio approaches are employed to consider the impact of COVID-19 on herding intention.

This study confirms that herding propensity is more pronounced at the beginning of the crisis and becomes less significant towards later phases when reverse herding is more visible. Investors herd more toward sectors with less available information on financial support from the government during the financial meltdown. Conditioning the stock liquidity, herding is only detectable during highly liquid periods and high-liquid stocks, which is more observable during the initial phases of the crisis. Further, the mood contagion from the United States (US) market to Australian market and asymmetric herding intention are evident during the pandemic.

This is the first study to shed further light on the impact of a health crisis on the trading behaviour of Australian investors, which is driven by liquidity, public information and sentiment. Notwithstanding the theoretical contributions to the prior literature, several practical implications are proposed for businesses, policymakers and investors during uncertainty periods.

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.

Community-based disaster risk management (CBDRM) has been recognized since the mid-1990s. However, in the changing environment of the new millennium and the move toward disaster risk reduction (DRR), the community-based disaster risk reduction (CBDRR) has been evolving in recent years. In Vietnam, many projects and programs in CBDRR have been carried out since the year 2000, and these programs tried to increase the resilience of the most vulnerable villages and communes. These projects aim to strengthen the capacity of the communities to become more aware and responsive to their short-and long-term needs through participatory risk assessment and identification, prioritization, and implementation of risk reduction measures.

Recognition that not every climate adaptation policy is a good one has shifted attention to new tools and methods to measure the adequacy and effectiveness of adaptation policies. This study aims to propose and apply and applies an innovative adaptation policy assessment framework to identify the extent to which climate adaptation policies in Vietnam exhibit conditions that are likely to ensure a sufficient, credible and effective adaptation.

In total, 21 conditions, categorized under five normative principles and covering critical issue areas in adaptation domain, form the climate adaptation policy assessment framework. The principles were double-checked and tested in case studies through observations and analyses of policy documents to ensure that each condition should be distinct and not overlapping across principles. To see if the principles and attendant conditions were able to capture all relevant aspects of adaptation, the authors used structured expert judgment. In total, 39 policy documents pertaining to climate change adaptation were selected for qualitative document analysis. In-depth interviews with local officials and experts were conducted to address data gaps.

The study reveals major weaknesses constituting a reasonably worrisome picture of the adaptation policies in Vietnam since several critical conditions were underrepresented. These results shed new light on why some adaptation policies falter or are posing adverse impacts. The findings suggest that a sound policy assessment framework can provide evidence on what effective adaptation policy looks like and how it can be enabled. The framework for climate adaptation policy assessment in this study can be easily adjusted and used for different socio-environmental contexts in which new conditions for policy assessment might emerge.

The findings show underlying weaknesses constituting a reasonably worrisome picture of the adaptation regime in Vietnam. In the absence of mechanisms and measures for accountability and transparency in policy processes, adaptation in Vietnam appears more likely to be prone to maladaptation and corruption. While solving these problems will not be easy for Vietnam, the government needs to evaluate whether the short-term gains in sustaining the existing adaptation policies really make progress and serve its long-term climate-adaptive development goals.

Although interpretations of adaptation effectiveness may be very divergent in different normative views on adaptation outcomes, the authors argue that a common, agreed-upon effectiveness can be reached if it is clearly defined and measurable in adaptation policies. Thus, the climate adaptation policy assessment framework proposed in this study is critical for policymakers, practitioners, donors and stakeholders dealing with adaptation to better understand the weaknesses in policymaking processes, pinpoint priority areas of action and timely prevent or prepare for possible adverse impacts of policies.

This paper aims to look at the future development of new tourism attractions through the visionary project of a leading Vietnamese developer in a remote area of Northern Vietnam in the Quang Ninh province.

Drawing from the theoretical perspective of place-making and the hero’s journey, this paper draws insights from a case study, an interview with two key informants in the private sector and literature review, to generate the drivers that will shape the future of tourism development in Yen Tu.

This paper identifies the visionary hero (leader), intangible heritage and creative place-making as the key drivers that will reconstruct and repackage the past for developing tourism destinations.

This paper extends the existing knowledge in the literature about the natural heritage and sacred mountains of Yen Tu, and included creative place-making to gain insights into the future of tourism development in rural areas.

Over the last decades, there has been an increasing interest among scientists on the linkage between population health and climate and environmental factors, as well as health impacts of climate change and climate variability. Numerous studies have been done and substantial results achieved, but mostly in the developed countries, and not much quantitative evidence or assessment of the impacts at national and local levels has been provided for developing countries.