This study breaks away from traditional macroeconomic-data-based research that often overlooks the subjective experiences of communities and social groups in assessing their resilience to external stressors. Instead, we conducted a nuanced analysis of self-assessments provided by 364 household heads in the Nam Dong District, Thua Thien Hue Province, Vietnam, to gain a comprehensive understanding of household resilience. Our investigation focused on two upland communities—the Kinh majority and Co Tu ethnic minority households—evaluating their resilience levels in terms of the five livelihood capitals and identifying significant disparities among different ethnic and gender groups. Our findings reveal notable differences in livelihood resilience to climate change and variability among these groups, particularly for women, the poor, and ethnic minorities who exhibit lower resilience levels. This underscores the need for policies and programs designed to improve resilience capacity while taking into account these groups’ cultural and social norms. We suggest focusing on improving financial, human, and social capitals to increase households’ resilience to external shocks. Specifically, building resilience for disadvantaged groups must go hand in hand with promoting their overall well-being and alleviating poverty. Additionally, we recommend tailored training programs to raise awareness among households and strengthening institutional systems to enhance overall resilience.

The paper aims to promote a model for determining residential land prices within a suburb of Hue city, Vietnam to improve the efficiency of land price determination and management. The study conducted surveys of 27 variables of 200 residential land plots in order to run the hedonic model using SPSS 26.0 software. The result developed a model that explained 78% of the change in land prices by incorporating five factors: area of land, width of road attached to the land plot, distance to hospital, ability to generate cash flow and planning information. Meanwhile, the writers also produced a map of residential land prices in the 2022 suburban areas of Hue city, Vietnam. This is a helpful tool in land market consulting and land valuation procedures.

Population growth is one factor relevant to land-use transformation and expansion in urban areas. This creates a regular mission for local governments in evaluating land resources and proposing plans based on various scenarios. This paper discussed the future trend of three kinds of land-use in the five central coast provinces. Afterwards, the paper deployed machine learning such as Multivariate Adaptive Regression Splines (MARS), Random Forest Regression (RFR), and Lasso Linear Regression (LLR) to analyze the trend of rural land use and industrial land-use to urban land-use in the Central Coast Region of Vietnam. The input variables of land-use from 2010 to 2020 were obtained by the five provinces of the Department of Natural Resources and Environment (DONRE). The results showed that these models provided pieces of information about the relationship between urban, rural, and industrial land-use change data. Furthermore, the MARS model proved to be accurate in the Quang Binh, Quang Tri, and Quang Nam provinces, whereas RFR demonstrated efficiency in the Thua Thien-Hue province and Da Nang city in the fields of land change prediction. Furthermore, the result enables to support land-use planners and decision-makers to propose strategies for urban development.

This study investigates how land access, inheritance expectations, and socio-economic conditions influence migration intentions of rural youth in central Vietnam. Drawing on survey data from 200 young respondents and employing logistic regression analysis, the research reveals that youth with higher levels of education and income exhibit a greater propensity to migrate in pursuit of improved livelihoods. Male respondents were significantly more likely to migrate, reflecting gender norms and unequal access to opportunities. Crucially, secure land tenure—measured through formal land titles and perceived inheritance rights—was strongly associated with lower migration intentions. Conversely, tenure insecurity emerged as a significant push factor, undermining youth confidence in long-term rural investment and contributing to land use instability. This study argues that secure land access is not only vital for sustaining rural livelihoods but also foundational for youth and women’s engagement, socio-economic stability, and long-term community resilience. From this viewpoint, this study highlights the need for youth-inclusive land reforms, the promotion of rural entrepreneurship, and expanded access to vocational training as critical policy interventions.

Background: Agricultural practice is considered as main factor affecting land degradation in several regions in Vietnam. However, there are limited studies relating to degraded soil properties and their soil fertility. This paper aimed to evaluate the degradation of agricultural soil under different land management practices. Methods: A total of 80 samples at 0-10 cm of agricultural soil were collected to analyze selected physicochemical properties. The group of degradation soil properties was classified based on their soil fertility using principal component analysis. Result: The results showed that physicochemical properties in agricultural soil along coastal regions were relatively lower than in hilly regions/secondary forests. High ratio of C:N in agricultural soil was because of degradation. The organic matter, nitrogen and phosphorous contents were low in the soil in lowland areas indicating a high level of degradation (1.43%, 0.09% and 0,04%, respectively). The samples classified into four groups (G1, G2, G3, G4) using principal component analysis indicated differences in soil properties due to degradation. Insufficient and excessive application of inorganic fertilizer could be a further reason affecting the status of soil properties. Overall, soil physicochemical properties indicated poor conditions for agriculture systems, thereby, careful soil management is the primary solution.