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This study aims to investigate specific professional competencies of teachers to implement education for sustainable development (ESD) in the contexts of Vietnam.

The authors carried out a Delphi study with eight ESD experts in Vietnam to collect their expertise viewpoints regarding teachers’ ESD professional competencies.

In total, 13 competencies related to three dimensions (content knowledge/cognitive, pedagogical and pedagogical content knowledge, motivation and volition) were highlighted by ESD experts.

The proposed teachers’ competencies were based on the ideas of a small group of experts, and the results need to be tested, refined and confirmed by further work. Besides, in this study, we have not defined the levels of achievement for each competency as well as developed assessment tools.

The specific professional competencies for teachers can be considered as a foundation for developing educational offers focusing on promoting the specific teachers’ professional competencies in basic ESD training.

Studies on educators’ professional competencies for ESD mostly were conducted in western countries. However, competencies do not exist independently; instead, they should be considered in specific contexts of teaching, school, culture and society. This research is among one of the first studies that contextualizes teachers’ competencies in a non-western context.

The purpose of this paper is to contribute to this literature on developing countries by investigating the determinants of job satisfaction in Vietnam where the economics literature on this issue is virtually non-existent. The authors also contribute to the literature on income comparison by extending beyond the within-firm co-worker income comparison.

The authors estimate a generalized order logit model for job satisfaction as statistical tests suggest that the parallel-lines assumption, which is often invoked in previous studies using the standard logit model, does not hold.

For Vietnam, the authors find that absolute and relative incomes as well as human resource practices such as efficiency wage and training policy have an impact on workers’ satisfaction. Workers in the foreign direct investment (FDI) sectors behave a bit differently from their peers in the domestic sector.

Taking advantage of a unique matched employer–employee data set collected in 2008 by the North-South Institute (Canada) and the Vietnam Academy of Social Sciences, the authors are able to investigate the impact of a number of important job characteristics on job satisfaction such as absolute and reference incomes, wage policy, training plan for workers, union membership and job position, and, at the same time, to disentangle the possible differences in job satisfaction of workers in domestic vs FDI firms.

COVID-19 hits every country’s health-care system and economy. There is a trend toward using automation technology in response to the COVID-19 crisis not only in developed countries but also in those with lower levels of technology development. However, current studies mainly focus on the world level, and only a few ones report deployments at the country level. The purpose of this paper is to investigate the use of automation solutions in Vietnam with locally available materials mainly in the first wave from January to July 2020.

The authors collected COVID-related automation solutions during the first wave of COVID-19 in Vietnam from January to July 2020 through a search process. The analysis and insights of a panel consisting of various disciplines (i.e. academia, health care, government, entrepreneur and media) aim at providing a clear picture of how and to what extent these solutions have been deployed.

The authors found seven groups of solutions from low to high research and development (R&D) levels deployed across the country with various funding sources. Low R&D solutions were widely spread owing to simplicity and affordability. High R&D solutions were mainly deployed in big cities. Most of the solutions were deployed during the first phases when international supply chains were limited with a significant contribution of the media. Higher R&D solutions have opportunities to be deployed in the reopening phase. However, challenges can be listed as limited interdisciplinary research teams, market demand, the local supporting industry, end-user validation and social-ethical issues.

To the authors’ best knowledge, this is the first study analyzing the use of automation technology in response to COVID-19 in Vietnam and also in a country in Southeast Asia. Lessons learned from these current deployments are useful for future emerging infectious diseases. The reality of Vietnam’s automation solutions in response to COVID-19 might be a reference for other developing countries with similar social-economic circumstances and contributes to the global picture of how different countries adopt technology to combat COVID-19.

The purpose of this paper is to present the method for efficient computation of risk measures using Fourier transform technique. Another objective is to demonstrate that this technique enables an efficient computation of risk measures beyond value-at-risk and expected shortfall. Finally, this paper highlights the importance of validating assumptions behind the risk model and describes its application in the affine model framework.

The method proposed is based on Fourier transform methods for computing risk measures. The authors obtain the loss distribution by fitting a cubic spline through the points where Fourier inversion of the characteristic function is applied. From the loss distribution, the authors calculate value-at-risk and expected shortfall. As for the calculation of the entropic value-at-risk, it involves the moment generating function which is closely related to the characteristic function. The expectile risk measure is calculated based on call and put option prices which are available in a semi-closed form by Fourier inversion of the characteristic function. We also consider mean loss, standard deviation and semivariance which are calculated in a similar manner.

The study offers practical insights into the efficient computation of risk measures as well as validation of the risk models. It also provides a detailed description of algorithms to compute each of the risk measures considered. While the main focus of the paper is on portfolio-level risk metrics, all algorithms are also applicable to single instruments.

The algorithms presented in this paper require little computational effort which makes them very suitable for real-world applications. In addition, the mathematical setup adopted in this paper provides a natural framework for risk model validation which makes the approach presented in this paper particularly appealing in practice.

This is the first study to consider the computation of entropic value-at-risk, semivariance as well as expectile risk measure using Fourier transform method.

This paper aims to investigate the impacts of green bond issuance on the environment while taking into account the moderating role of issuing countries’ institutional quality.

The analysis is based on a longitudinal data set covering 171 countries and territories during 2007–2018. The authors rigorously account for endogeneity issues using two-stage least squares estimation and a set of instrumental variables for green bond issuance volume.

The overall results confirm the positive environmental impacts of green bonds in reducing carbon dioxide and greenhouse gas emissions, enhancing renewable energy consumption rate and accelerating the progress towards sustainable development goals (SDGs). However, these effects are contingent upon the levels of institutional development of the issuing countries in a way that green bond issuance only benefits the environment when the institutional quality has reached a minimum level.

The results provide important policy implications for countries in their efforts to prevent environmental degradation and achieve SDGs.

This paper contributes to the existing literature by providing a macro-level evaluation of the environmental impact of green bonds, hence, enabling policy implications to be drawn for countries to achieve their SDGs. The analysis is more comprehensive using a wide range of indicators for environmental performance. To the best of the authors’ knowledge, this paper is also one of the first attempts to examine the moderating effect of institutions on the environmental impact of green bonds.

Groundwater plays a critical part in both natural and human existence. When surface water is scarce in arid climates, groundwater becomes an immensely valuable resource. Dak Lak is an area that frequently lacks water resources for everyday living and production, and the scarcity of water resources is exacerbated during the dry season. As a result, it is critical to do study and understand about groundwater to meet the region's water demand. This study aims to extend the use of the MODFLOW model for groundwater simulation and assess the overall groundwater reserves and water demand in the highland province Dak Lak.

The MODFLOW model is used in this work to compute and analyze the flow, prospective reserves of groundwater from which to plan extraction and estimate groundwater variation in the future.

The application of the MODFLOW model to Dak Lak province demonstrates that, despite limited data, particularly drilling hole data for subterranean water research, the model's calculation results have demonstrated its reliability and great potential for use in other similar places. The use of the model in conjunction with other data extraction modules is a useful input for creating underground flow module maps for various time periods. The large impact of recharge and evaporation on groundwater supplies and water balance in the research area is demonstrated by simulations of climate change scenarios RCP4.5 and RCP8.5.

None of the studies has been done previously to analyze water resources of Dak Lak and the scarcity of water resources is exacerbated during the dry season. Therefore, this study will provide useful insights in the water resource management and the conservation of Dak Lak. The groundwater in Dak Lak can meet the area's water demand, according to the results obtained and water balance in the study area. However, the management of water resources and rigorous monitoring of groundwater extraction activities in the area should receive more attention.

This paper presents the outcomes of the international project “Protecting Landscape Heritage: a requalification project as an instrument for the re-birth of Quang Tri Old Citadel in Vietnam”, achieved with scientific cooperation between the Università Politecnica delle Marche (Italy) and Hue University of Sciences (Vietnam) funded by the Italian Ministry of Foreign Affairs and International Cooperation and Ministry of Science and Technology of Vietnam. The research focuses on the Quang Tri Citadel, founded in 1809 and now in an advanced state of degradation.

For the purpose of rehabilitation, the wide multidisciplinary project first examined the historical context of the military model, the architectural aspects of the structure, the characterization of the existing materials, the degradation levels of different parts, and, finally, a proposal of the suggested interventions.

The original structure and geometry were extrapolated and studied. Building materials were produced with nearby raw materials. Firing temperatures of bricks ranged from 800 to 1,000 °C, hydraulic lime was supposed the binder of the mortar with a calcination temperature lower than 1,000 °C. Damage assessment was provided and after these analyses a requalification project was proposed so the cultural heritage can play a role for the future in the dialog between different cultures.

The requalification project achieved by an integrated analytical approach defines aspects in relation to the restoration of the structures, enabling compliance with the geometry, techniques, building materials used in the original construction and allowing its guardianship and management to align with the historical context of the architectural heritage.

One Commune One Product (OCOP) program, a rural economic development program in Vietnam, aims to empower local communities for sustainable social and economic welfare development, protect the environment and preserve tradition. This study aims to employ this program associated with tourism to support small family businesses in rural areas cost-effectively.

This study used the geographic location mapping method to design tourist routes that connect tourism resources with OCOP producers. A stakeholder approach was employed to identify suggested practical works that need to be implemented while developing this tourism initiative.

Four rural districts of Bac Giang Province, a northern province in Vietnam known as the place of various indigenous people live and traditional craft villages. Many cultural and historical tourist sites have been chosen as sample areas for this study. By using Google map, based on the Bac Giang Tourist Map and a list of recognized OCOP products in Bac Giang Province, main tourist sites (16 locations) and small family businesses (known as cooperatives and households) that have OCOP products (17 places) in the four districts have been identified. Four notable tourist routes have been formed to propose four thematic tours (two 1-day tours and two 2 days-1 night homestay tours). Suggestions for related stakeholders to ensure the sustainability of this initiative are provided.

This study is supposed to be a model of promoting small family businesses through OCOP programs and tourism activities in a sustainable way in Vietnam. The outcome of this study is in line with the stakeholder theory emphasizing the systematic connection of various stakeholders such as employees, suppliers, local communities, government agencies and others towards complex business sustainability. The results of the study cannot conclude the small family businesses in Vietnam because it adopts geographic location mapping alone. Moreover, this study focused on OCOP programs only. Future research can use other methods of primary data collection, especially from tourists' perspectives. Data triangulation can be done to explore and verify the tourist routes that have been formed according to the four thematic tours proposed. Future research could also compare hotels managed by family businesses with non-family businesses.

This study is supposed to be a model of promoting small family businesses through OCOP programs and tourism activities in a sustainable way in Vietnam.

The purpose of this paper is to investigate the input- and output-specific technical inefficiency of Vietnamese prawn-rice rotational crops (PRRC) and to identify the impacts of the socio-economic characteristics of farmers and farms on these technical inefficiencies.

This study first used a Russell-type (input-output) directional distance function to estimate the input- and output-specific technical inefficiency. Second, it applied a bootstrap truncated regression to analyze the factors influencing these technical inefficiencies. Data were gathered through a survey among 94 farmers, from Ben Tre and Kien Giang provinces, the two popular PRRC areas in the Mekong Delta.

Results show that Vietnamese PRRC farmers could reduce the water surface area by 3%, the use of seedlings by 15%, labor by 16%, fertilizers by 26%, and the use of others by 24%, while simultaneously increasing the revenue of farming system by 57% relative to the variable returns to scale (VRS) frontier. Farmers with more years of experience are generally better in managing the use of seedlings and in improvement of revenue. Farmers in Kien Giang province are more efficient in achieving revenue of the PRRC farming system than farmers in Ben Tre province.

Outcomes of this study are useful to identify strategies in minimizing the use of inputs while simultaneously maximizing PRRC production.

This paper relates to the comparison of two mostly different ecological zones, being the dominant production areas of PRRC, in which, Kien Giang represents the western part, while Ben Tre is in the eastern part of the Vietnam’s Mekong Delta. The findings not only expand the current understanding but also suggest various meaningful research questions regarding the development of Vietnamese PRRC under the impacts of climate change. The study also contributes to the literature on examining the input- and output-specific technical inefficiencies and influencing factors.

The purpose of this paper is to explore the role of external audit quality in reducing firm misreporting practices.

Data are gathered from a number of sources including the Osiris database and firms’ annual reports to construct a comprehensive data set containing financial and non-financial information of over 3,100 publicly listed firms in China during the period 2009–2017. A number of rigorous empirical specifications are utilized with the use of probit, logit and conditional logit regressions, as well as panel pooled OLS and fixed-effect estimators. The IV-2SLS, 2-step system GMM and difference-in-differences techniques are also employed to deal with the potential endogeneity bias to ensure the robustness of the empirical results.

The empirical results reveal that larger firms and firms having more tangible assets and greater retained earnings are more likely to employ a better-quality external auditor. Subsequently, higher audit quality leads to a deterioration in corporate misreporting. However, these results are not homogenous across firms. While we document similar findings in the case of non-state-owned firms, state-owned enterprises (SOEs) appear to have less tendency to hire a higher-quality auditor, and higher-quality auditors in turn do not play a significant role in reducing misreporting practices in SOEs.

This paper contributes to a better understanding of the mechanism to mitigate corporate misreporting practices. It is one of the few to empirically investigate auditor selections and the association between external audit quality and corporate misreporting practices in China.