Research Article
Analysis of Nanjing Land Value Through PLVI Modeling——Based on Bidding Theory
@INPROCEEDINGS{10.4108/eai.18-11-2022.2326835, author={Yajing Xu}, title={Analysis of Nanjing Land Value Through PLVI Modeling------Based on Bidding Theory}, proceedings={Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China}, publisher={EAI}, proceedings_a={ICEMME}, year={2023}, month={2}, keywords={urban environment; bid rent theory; land value; nanjing land price; data analysis}, doi={10.4108/eai.18-11-2022.2326835} }
- Yajing Xu
Year: 2023
Analysis of Nanjing Land Value Through PLVI Modeling——Based on Bidding Theory
ICEMME
EAI
DOI: 10.4108/eai.18-11-2022.2326835
Abstract
In the 1960s, the general relationship between land value and the distance from CBD is through a basic model, the bid rent theory, which is drawn on a concept from microeconomics and is based on the work of Alonso (1964) & Muth (1969). Through relevant data analysis under the model of PLVI, this study aims to investigate this relationship more accurately and focus on whether the value of land decreases as the distance from the CBD increases. The author further discusses the principles and characteristics of the current situation in combination with specific cases in Nanjing. Qualitative and quantitative methods are both involved in this essay. Specifically, the core-frame model of CBD in Jianye district is applicable to clearly explain the structure of PLVI so as to highlight its economic and cultural influence. Besides, spearman’s coefficient can be utilized to investigate the relationship precisely in a quantitative way. Primary data and secondary data are both essential, and primary data mainly involves land value and distance statistics, while secondary data is mainly based on basic models and maps. In conclusion, in terms of trends, Nanjing’s results conform to the original model, but the value is between 0.5 and 1, which shows that there are still some points that do not conform to this law.