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Vietnam was ranked 6th among countries deemed vulnerable to climate change based on

The phenomenon of prolonged drought as one of the consequences of climate change has significantly affected the agricultural production of rural communities in both mountainous and plain areas of Vietnam. This study, using standardized precipitation index (SPI) combining with the space technologies of Geographical Information Systems (GIS) and Remote Sensing (RS) to simulate and forecast the effects of drought on agricultural land use in Bac Tra My district, Quang Nam province. The data was set up for two scenarios of RCP 4.5 and RCP 8.5 in Bac Tra My district of Quang Nam province. Simultaneously, the research has also applied the focus group discussion, in-depth interview and field survey for data cross-checking to ensure highly reliable predictions. The research result has addressed four levels of drought, including normal, mild, moderate and severe drought appearing in the Summer-Autumn crop in the period 2016 – 2035 of the district. In which, severe drought will appear on large scale for both scenarios of RCP 4.5 and RCP 8.5 for 5 types of agricultural land use including paddy, annual crop, perennial, afforestation and aquacultural land. From these findings, the local authorities can consider and apply the adaptation and mitigation measures to climate change in agricultural land use planning.

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 vulnerability assessment of small-scale households on the central coast of Vietnam has been inadequate despite the apparent impacts of climate change. This knowledge gap presents challenges for identifying at-risk individuals and communities and could impede effective public policy and resource allocation for adaptation efforts. To address this issue, this study employed the Livelihood Vulnerability Index referencing IPCC definitions (LVI-IPCC) framework to examine livelihood vulnerability and its determinants among 455 small-scale households in the coastal areas of Phu Vang district, Thua Thien Hue province, Vietnam. The LVI-IPCC calculation utilized a database of 11 major and 33 sub-indicators collected through a household survey conducted in 2021. The findings revealed that these households exhibit moderate vulnerability to natural disasters and climate shocks, as reflected by their high sensitivity index scores. Additionally, the study identified a persistent cycle of poverty and livelihood vulnerability among coastal communities, wherein poverty and reliance on nature-based income serve as the root cause of the exposure and a gateway to this loop. This study strongly advocates for a pro-poor approach that places poverty alleviation at the forefront of community development planning and climate change agendas. Under this approach, developing value chain models in agriculture and aquaculture and diversifying livelihoods through activities such as community-based tourism is highly recommended.

This study focuses on building a regression model in the series of land pricing for frontages and alleys in the C zone of Nam Hoi An project, Thang Binh district, Quang Nam province. The research applied data collection method, data processing method, regression analysis method to build a model of mass land valuation. The results of this study show that the location of the facade in the C zone of ​​Nam Hoi An project is affected by various factors such as security, plot width, plot shape, distance to Hoi An city, traffic congestion, land use type, and road boundary. Meanwhile, the unit price of land in the alley is influenced by factors such as security, alley level, plot shape, distance to Hoi An city, road structure, traffic congestion and alley location. The biggest factor affecting frontage land price is the type of land use with regression coefficient BLAND_USE_TYPE = 14,199. In terms of unit price of alley land, that is the type of alley with regression coefficient BALLEY_LOCATION = 10,772. The results of verification of the accuracy of the land unit price from the regression model to the compensation land unit price have a negligible difference, which is completely consistent with the requirement of determining the price level close to the market price. The results of this study show the practical applicability of mass appraisal for land valuation using a regression model in land acquisition and financial management of land.

The widespread development of hydropower dams has led to involuntary displacement, which has become a significant global issue. In Vietnam, around 70,000 households were displaced in 2020, causing uncertainty and social disruption. The aim of this study is to analyze the effects of resettlement on the livelihood and food security of displaced households, explore the underlying challenges and causes of these effects, and recommend policy implications for sustainable livelihood development and poverty alleviation. This study conducted a decade-long sociological examination of three displaced communities in Thua Thien Hue province, Vietnam. Our research reveals that resettled households are unable to regain their former standard of living due to the loss of cultivated land and restricted access to public property, which exacerbates food insecurity. Unemployment, illiteracy, and low income further perpetuate poverty. These findings highlight the deficiencies in current policies and planning approaches and call for implementing socially responsible resettlement processes guided by principles of equity. Addressing the inequalities arising from displacement and enabling affected communities to participate in growth is economically justified and morally imperative.