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Land user satisfaction is one of the essential factors reflecting the quality of public administrative services provided by state administrative agencies. The study is based on a survey of 164 people using public administrative services at the Branch in 2018–2020. Exploratory Factor Analysis and Multivariate Regression Analysis indicate that six factors affect user satisfaction: Reliability, Responsiveness, Competence of staff, Processes and procedures, Tangibility, and Service Attitude. Reliability has the most significant influence, while Service Attitude is the lowest. The study has also proposed several solutions to improve the quality of the land services at the Branch.

This study applies the optimal mathematical model to develop a rational agricultural land-use structure that brings economic, social, and environmental benefits to Que Son district, Quang Nam province. We utilized the method of focus group discussions and household interviews. One hundred and twenty-five households directly engaging in agricultural production in five communes of the district participated in the study. The model was used to build the agricultural land-use structure with the following conditions: limiting the cultivated area, ensuring food security, and guaranteeing labour in the agriculture sector. The results indicate that Que Son district needs to reduce 29.1 ha for peanuts and 8.8 ha for vegetable cultivation while increasing 387.6 ha for maize, 190.1 ha for sweet potato, and 190.1 ha for sesame cultivation.

This research identifies and analyzes factors affecting the efficiency of agricultural land-use models in Hai Lang district, Quang Tri province, with logistic regression. The sample size is 98 households applying and not applying sustainable agricultural land-use models in Hai Ba, Hai Duong, and Hai Que communes. The results show that education level and income affect the application of land-use models. Besides, the agricultural land is used relatively reasonably. The land-use models reflect sustainability but are not entirely consistent with theory.

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 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.