MASS APPRAISAL APPLICATION FOR LAND VALUATION USING REGRESSION MODEL: A CASE STUDY IN THE C ZONE OF NAM HOI AN PROJECT, THANG BINH DISTRICT, QUANG NAM PROVINCE, CENTRAL VIETNAM

Abstract

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 B_{LAND_USE_TYPE} = 14,199. In terms of unit price of alley land, that is the type of alley with regression coefficient B_{ALLEY_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.