标题:Driving Factors of the Industrial Land Transfer Price Based on a Geographically Weighted Regression Model: Evidence from a Rural Land System Reform Pilot in China
作者:Yang, Zhiheng; Li, Chenxi; Fang, Yongheng
作者机构:[Yang, Zhiheng] Shandong Univ Finance & Econ, Inst Reg Econ, Jinan 250014, Peoples R China.; [Li, Chenxi; Fang, Yongheng] Xian Univ Architecture & T 更多
通讯作者:Li, CX;Li, CX
通讯作者地址:[Li, CX]Xian Univ Architecture & Technol, Sch Publ Adm, Xian 710055, Peoples R China;[Li, CX]Univ Wisconsin, Dept Geog, Madison, WI 53706 USA.
来源:LAND
出版年:2020
卷:9
期:1
DOI:10.3390/land9010007
关键词:industrial land; price; geographically weighted regression model;; driving factors; rural land system reform pilot
摘要:More and more studies on land transfer prices have been carried out over time. However, the influencing factors of the industrial land transfer price from the perspective of spatial attributes have rarely been explored. Selecting 25 towns as the basic research unit, based on industrial land transfer data, this paper analyzes the influencing factors of the price distribution of industrial land in Dingzhou City, a rural land system reform pilot in China, by using a geographically weighted regression (GWR) model. Eight evaluation factors were selected from five aspects: economy, population, topography, landform, and resource endowment. The results showed that: (1) Compared with the traditional ordinary least squares (OLS) model, the GWR model revealed the spatial differentiation characteristics of the industrial land transfer price in depth. (2) Factors that have a negative correlation with the industrial land transfer price include the proportion of cultivated land area and distance to the city. Factors that have a positive correlation with the industrial land transfer price include the population growth rate, economic growth rate, population density, and number of hospitals per unit area. (3) The results of GWR model analysis showed that the impact of different factors on the various towns of different models had significant spatial differentiation characteristics. This paper will provide a reference for the sustainable use of industrial land in developing countries.
收录类别:SCOPUS;SSCI
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078664429&doi=10.3390%2fland9010007&partnerID=40&md5=df28e4cf2a299c3516be7e599b355492
TOP