城镇基准地价评估模型构建与应用研究

　　Abstract: 　　It is of great significance to study benchmark land price assessment methods and construct benchmark land price assessment models for scientific assessment of benchmark land prices, en-richment of benchmark land price assessment methods, and regulation of the land market. Based on Longkou City’s 2019 benchmark land price update project, a regression model is constructed based on the rental sample land price and grading scores, including two methods for each level and all samples, and a gray model based on the transfer sample land prices is used to evaluate the benchmark land price of commercial land. The results show that: (1) The prediction results of the full-sample regression model differ greatly from the prediction results of the other two models. Compared with the benchmark land price in 2016, the increase of the fourth- and fifth-level land is too high. The difference between the evaluation results of the graded-sample regression model and the gray model is small, and the growth rate is reasonable compared to 2016. (2) Take the average of the prediction results of the graded-sample regression model and the gray model as the final result of the benchmark land price. The benchmark land price for first level land in 2019 is 2211 yuan/m2, and the final level land price is 456 yuan/m2. The gap in land prices between the levels gradually narrowed as the levels decreased. Compared with 2016, the benchmark land prices at all levels are on the rise, with an average growth rate of 5.54%, which is in line with the actual development of the land market.