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The purpose of this paper is to review and provide propositions about survey assessment tools of the key sustainability competencies (KSCs) of education for sustainability. UNESCO points out how education plays an important role in transforming societies towards a sustainable future and achieving the United Nations’ sustainable development goals. To plan education for sustainability, teachers need to know the students’ competencies for sustainability before they come to class. Thus, a formative assessment about student competence for sustainability is needed.

Firstly, a structured literature review of assessment tools used to measure sustainability competencies by questionnaire survey is presented. Secondly, the authors’ conceptualise how the competencies influence each other and provide propositions for future research.

The literature demonstrates that there is much ambiguity between prior research about the scales used and what they represent. A lack of validation across disciplines is apparent and an assessment tool that includes all eight KSCs could benefit education for sustainability. Future research could investigate how the competencies influence each other and which drivers are stronger for each discipline across different countries. A formative assessment tool can address this need.

The findings provide a new analysis about questionnaire assessment tools used in prior research to measure sustainability competence. The authors’ offer a discussion about the strengths and weaknesses found in prior research and propose suggestions for future research. Their conceptualisation also provides propositions for validating the KSCs presented in a recent framework.

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.

The purpose of this paper is to investigate the influence of entrepreneurs’ social competence (SC) on small and medium-sized enterprise (SME) performance.

Primary data of 250 manufacturing SMEs were collected through a survey method. The influence of SC on performance was tested using structural equation modelling (SEM).

Overall, the findings suggest that SC dimensions have a positive influence on SME performance in terms of nonfinancial perspective. More clearly, the findings show that out of five dimensions of SC, which include social adaptability, social perception, social expressiveness, persuasiveness and impression management; social perception, persuasiveness and impression management have direct effect on customer perspective; persuasiveness, social expressiveness and social adaptability have a direct influence on internal business processes and social adaptability, social perception, impression management and social expressiveness are directly related with learning and growth. Contrary to expectations though, social perception and social adaptability were significantly and negatively associated with internal business processes and customer perspective, respectively, while there was no significant correlation between social expressiveness, persuasiveness and impression management with customer perspective, business processes and learning and growth in that order.

The current study affirms that SMEs managed by entrepreneurs and managers who possess high levels of SC, may have a better performance compared to those operated by entrepreneurs with low levels of SC. This justifies a need for SME entrepreneurs and managers to work hard to improve their SC capabilities.

This study is pertinent and unique because, it extensively examines each of the five dimensions of SC in relation to nonfinancial indicators of SME performance. Besides, the study also provides additional evidence of the impact of SC on SME performance by suggesting that entrepreneurs who are socially competent are more likely to own highly successful ventures.

This study aims to elucidate the process and internal mechanism of place identity construction in traditional villages under the impact of tourism by taking Cuandixia village as a case. The research methods comprise participatory observation and in-depth interviews with the residents. The main results are as follows: the impact of tourism on traditional villages is mainly reflected in space reconstruction, livelihood change, social relations restructuring and culture change; under the impact of tourism, the representation of residents’ identity construction shows complexity, with positive and negative effects; and the place identity construction of residents affects their perception of and attitudes toward tourism. Moreover, self-esteem and self-efficacy principles play a key role in their perception of tourism. This study provides some reference for further investigation of the tourism development model and the mental mechanism of residents in traditional villages.

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.

Forestry carbon sink (FCS) is not only an important measure to deal with the current global climate change but also an effective way to build an ecological civilization. As an important form of implementation of FCS, the afforestation and reforestation projects under the clean development mechanism (CDM A/R) have important functions such as ecological protection and economic growth. This paper aims to evaluate the short-term and long-term impact of CDM on the county economy and its impact mechanism.

This paper first uses propensity score matching to match the county (treatment group). Second, this paper uses difference in difference to estimate the net effect of CDM A/R project on county economic development to reduce estimation error. Finally, the impact mechanism of implementing CDM A/R project on county economic development was tested.

The CDM A/R project has significantly promoted the development of real gross domestic product (GDP) and per capita real GDP in the region. Because of the long project cycle, this promotion is not immediate in the short term and has an obvious hysteresis effect. The longer the implementation time, the greater the promotion of the local economy will develop. The results are robust after the robustness test that uses the single-difference method. The CDM A/R project has promoted local economic growth by optimizing the local industrial structure, increasing the regional capital stock and raising the regional government’s fiscal revenue and expenditure.

This paper provides a critical overview of the relationship between clean development mechanism and local economic development.

Corruption has been evidenced as one of the major factors that drive a firm's dynamics and growth. This study examines the relationship between corruption and financing structure decisions of small and medium-sized enterprises (SMEs) in Vietnam.

The authors use a longitudinal data set from the Vietnam's SME Survey in the period 2007–2013 and adopt the two-stage least squares method to deal with endogeneity.

After controlling for endogeneity and firm heterogeneity, the authors find that, overall, corruption does significantly affect the decisions of financing sources. Given that, corruption increases the use of informal debt and decreases the levels of formal debt, owner's equity and retained earnings.

The findings suggest implications for corruption-combating actions and policies.

Different from previous studies that either provide evidence of government corruption and a firm's capital structure at the country level or focus on corruption and debt only, we deliver a more comprehensive analysis on the nexus between corruption and various financing sources.

The purpose of this paper is to measure TFP growth and job reallocation in the Vietnamese manufacturing industry after the Doimoi period.

The study uses firm-level panel data from Vietnam’s annual enterprise survey data for 2000–2016 period in the Vietnamese manufacturing industry using Olley–Pakes static and dynamic productivity decomposition methods.

The aggregate productivity estimated from the WRDG method increased 2.323 percent, of which over 40 percent is due to the reallocation toward more productive firms. Olley–Pakes dynamic decomposition according to ownership, scale and industry shows that the contribution of private and state-owned firms and the contribution of small and medium firms and large firms to the TFP growth are 133, −33 percent, 58.56 and 41.44 percent, respectively. The within-firm productivity and net entry components are the main reasons for TFP growth rather than reallocation. The results show that the composition of the aggregate TFPs, estimated from WRDG, OP, LP and ACF, is correlated very high (over 80 percent) except for net entry components.

The major limitation of this study is that the authors compute an aggregate productivity index using actual employment-based shares (still misallocation in labor), rather than optimal employment-based shares (no misallocation in labor).

Job reallocation between industries is attracting attention in developing countries, especially transition economies. However, knowledge about job reallocation among industries is limited. This paper assesses the level of job reallocation among private and state-owned firms, small and medium firms and large firms in Vietnam.

Research about tourism impacts is abundant. However, existing studies often investigate tourism impacts from residents’ and tourists’ perspectives. The study targeting students is absent. The students’ perception and evaluation of tourism impact must be investigated independently to have more insights into improving the current education curriculum, which covertly addresses the impacts. Therefore, this study aims to examine university students’ perception of tourism impacts as young tourists to provide implications for better teaching of such content in the future.

Vietnam was chosen as the context, and a mixed method was employed. First, free elicitation with 118 university students was carried out to identify the students’ perceived impacts (109 items, four categories). Second, structured surveys using the previously generated content with 243 and 224 university students were implemented to identify the latent structures of the impacts (3-4 factors per impact category).

Tourism impacts can be dually perceived. In other words, they can come in positive or negative forms or are directed toward the destinations or the residents. However, being positive or negative, or affecting the place or the people, tourism impacts have some general and universal elements concerning the economic, sociocultural and environmental ones. In addition, they have some specific and contextual aspects, such as cross-border marriages, child labor and economic autonomy loss.

Tourism impacts seen from the perspective of university students are relatable and valuable for tourism education. Educators in Vietnam should consider revising the current curriculum to address all the tourism impacts overtly.

This pragmatic research paper aims to unravel the smart vision-based method (SVBM), an AI program to correlate the computer vision (recorded and live videos using mobile and embedded cameras) that aids in manual lifting human pose deduction, analysis and training in the construction sector.

Using a pragmatic approach combined with the literature review, this study discusses the SVBM. The research method includes a literature review followed by a pragmatic approach and lab validation of the acquired data. Adopting the practical approach, the authors of this article developed an SVBM, an AI program to correlate computer vision (recorded and live videos using mobile and embedded cameras).

Results show that SVBM observes the relevant events without additional attachments to the human body and compares them with the standard axis to identify abnormal postures using mobile and other cameras. Angles of critical nodal points are projected through human pose detection and calculating body part movement angles using a novel software program and mobile application. The SVBM demonstrates its ability to data capture and analysis in real-time and offline using videos recorded earlier and is validated for program coding and results repeatability.

Literature review methodology limitations include not keeping in phase with the most updated field knowledge. This limitation is offset by choosing the range for literature review within the last two decades. This literature review may not have captured all published articles because the restriction of database access and search was based only on English. Also, the authors may have omitted fruitful articles hiding in a less popular journal. These limitations are acknowledged. The critical limitation is that the trust, privacy and psychological issues are not addressed in SVBM, which is recognised. However, the benefits of SVBM naturally offset this limitation to being adopted practically.

The theoretical and practical implications include customised and individualistic prediction and preventing most posture-related hazardous behaviours before a critical injury happens. The theoretical implications include mimicking the human pose and lab-based analysis without attaching sensors that naturally alter the working poses. SVBM would help researchers develop more accurate data and theoretical models close to actuals.

By using SVBM, the possibility of early deduction and prevention of musculoskeletal disorders is high; the social implications include the benefits of being a healthier society and health concerned construction sector.

Human pose detection, especially joint angle calculation in a work environment, is crucial to early deduction of muscoloskeletal disorders. Conventional digital technology-based methods to detect pose flaws focus on location information from wearables and laboratory-controlled motion sensors. For the first time, this paper presents novel computer vision (recorded and live videos using mobile and embedded cameras) and digital image-related deep learning methods without attachment to the human body for manual handling pose deduction and analysis of angles, neckline and torso line in an actual construction work environment.