Flood hazards affect the local economy and the livelihood of residents along the South-Central Coast of Vietnam. Understanding the factors influencing floods’ occurrence potentially contributes to establish mitigation responses to the hazards. This paper deals with an empirical study on applying a combination of the fuzzy analytic hierarchy process (AHP), the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS), and a geographic information system (GIS) to assess flood hazards along the South-Central Coast of Vietnam. Data are collected from focus group discussions (FGDs) with five communal authorities; a questionnaire completed by eight hamlet heads in the Phuoc Thang commune (Binh Dinh province); and documents, reports, and thematic maps provided from official sources. A total of 12 maps of flood factors are prepared. The results show that terrain elevation, creek-bottom terrains, high tide-induced flooding area, and distance to water body are the main factors affecting flood hazards. The An Loi hamlet faces the highest risk for floods, followed by Lac Dien, Luong Binh, and Pho Dong. The map of flood hazards indicates the western part is assessed as low hazard, whereas the eastern part is a very high hazard area. The study findings show that the hybrid approach using GIS-based fuzzy AHP–TOPSIS allows connecting decision makers with the influencing factors of flooding. To mitigate floods, both the Vietnam national government and the Binh Dinh provincial government should integrate natural hazard mitigation into socio-economic development policies.

Vietnam is located in the tropical monsoon region and it often faces many types of extreme weather events, especially storms and droughts. In addition to the effect of climate change, extreme weather events have been becoming more complicated and difficult to predict, causing heavy losses to many areas and economic sectors of the country. These problems impose a great threat to the country to achieve its socio-economic targets and sustainable development goals. This study uses a Riparian approach integrated with two-stage Hsiao method using a panel dataset from 2000–2018 to examine the impact of extreme weather events and climate change on the output of agriculture and fishery enterprises in the Central and Central Highlands regions of Vietnam. Findings from the study indicate that extreme weather events and climate change have a negative impact on agriculture and fishery enterprises in the regions. Specifically, the model results show that the value-added loss to agriculture and fishery enterprises as the impact of extreme weather events and climate change may escalate from billion VND 3597.72 to 18,891.2 under different climate change scenarios. The results also indicate the impact of various factors regarding extreme weather events and climate change on the efficiency of enterprises in the study area. Findings from this study provide insights on the impacts of extreme weather events and climate change on value-added of enterprises in the study regions and help to propose appropriate solutions to adapt and mitigate their impacts in the future.

The development of a circular economy in agricultural production has become a trend for many countries, especially as global natural resources worldwide are increasingly depleting. Therefore, the economic model transition to address the challenge of balancing economic growth and environmental protection, in general, and the plan for agricultural production development, in particular, is highly necessary. In this study, the authors examine the factors influencing the level of circular economy application in agriculture in Vietnam. The research employs a survey method using questionnaires to collect data from individuals and households engaged in the agriculture sector in Vietnam. Out of the 500 distributed questionnaires, 421 valid responses were collected. The influencing factors will be measured using a Likert scale, and to assess their reliability, the authors used Cronbach’s Alpha and inter-item correlation coefficients. To test the research hypotheses, the Structural Equation Modeling (SEM) method is utilized. The results reveal that among the factors included in the principal component analysis, financial factors have the strongest influence, followed by technological application, awareness, production scale, and finally, government policies. In summary, this study sheds light on the importance of various factors influencing the adoption of circular economy practices in agriculture. It can provide valuable information to policymakers, enabling them to make informed macro and micro-level decisions aimed at increasing the proportion of businesses applying circular economy principles in agricultural production.

Mobile phone usage has come to play a vital role in the enhancement of farmers’ agriculture business. Currently, the adoption of mobile phone technology is considered an important factor in enhancing farmers' access to knowledge of the agricultural market situation. This paper studies the determinants of smartphone adoption in agricultural production and examines the roles smartphone use plays in promoting agricultural firms’ performance. We collected research data from 389 agricultural households in Hoa Binh Province, Vietnam. We considered the impacts of both farmer and farm characteristics on the adoption of smartphones in agriculture. The farmers’ characteristics we examined included the influences of age, education, and gender. For the farm characteristics, we considered the impacts of farm size, farm diversification, and farm location. Using the PLS-SEM method, the results showed that gender had no impact on household smartphone adoption in agricultural production, while education, farm size, farm diversification, and farm location each had a positive effect on smartphone adoption. Farmer age and farm location both impeded smartphone adoption. In addition, as per our expectation, the use of smartphones in agricultural production helped increase the farm’s financial performance. Based on these findings, we offer suggestions to policymakers and researchers in the field of agriculture technologies.

Job satisfaction and loyalty of employees are key determinants for the sustainable development of the business. This study specifies factors that influence employee loyalty with employee happiness serving as a mediator. The sample survey involved 369 employees in different industries in Vietnam. The empirical results show that wages, benefits, working conditions, training, promotion opportunity, workplace relationship, and autonomy at work positively affect both employee satisfaction and loyalty. Our study complements the literature by providing firms with strategies for fostering a supportive environment that would further increase employee loyalty and contribute to the successful sustainability of organizations with satisfied employees.