福建省住宅地价时空演变特征及驱动因素研究
Study on the Spatial-temporal Evolution Characteristics and Driving Factors of Residential Land Price in Fujian Province
赵晴晴 1唐江桥1
作者信息
- 1. 福建农林大学公共管理与法学院,350000,福州
- 折叠
摘要
基于中国土地市场网 2012-2021 年福建省招、拍、挂出让的住宅用地数据,运用空间自相关方法和空间计量模型进行研究.研究结果:1)福建省住宅地价的空间离散特征平稳,呈现中东高西南低的分布特征;2)城市间地价差异整体缩小,并呈现出相似变动和关联特征;3)年末常住人口规模对住宅地价具有一定的负向影响,人均地区生产总值、城市道路面积、人口密度、房地产开发投资额、客运周转量等都对邻近地区住宅地价有正向溢出效应.福建省住宅地价驱动因素较多,为实现土地市场健康平稳发展,因城施策实现土地资源优化配置,多城联动制定区域协同发展规划是一条可行途径.
Abstract
This study utilized data from the China Land Market Network in Fujian province spanning from 2012 to 2021 to analyze residential land prices.Spatial auto-correlation methods and spatial e-conometric models were employed to examine the data.The findings were as follows:1)Residential land prices in Fujian province exhibited stable spatial dispersion,with higher prices concentrated in the Middle East and lower prices in the Southwest;2)The disparity in land prices between cities decreased over time,indicating similar changes and correlation patterns;3)Various factors influ-enced residential land prices,including the size of the permanent population at year-end.Addition-ally,per capita GDP,urban road area,population density,real estate development investment,and passenger turnover had a positive spillover effect on residential land prices in neighboring areas.In conclusion,residential land prices in Fujian province were influenced by multiple driving factors.To ensure a healthy and stable land market development,it was advisable to implement urban policies that optimize land resource allocation and foster regional collaborative development plans through in-tercity coordination.
关键词
住宅地价/Moran's/I指数/空间计量模型/时空演变/福建省Key words
residential land price/Moran's I index/spatial econometric model/space-time evolu-tion/Fujian province引用本文复制引用
基金项目
国家社会科学基金(20CJY036)
福建省社会科学规划研究基地重大项目(FJ2020MJDZ027)
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据