长江中游城市群县域住宅地价空间关联特征及其影响因素研究

任锦铭; REN Jinming; 曾晨; ZENG Chen; 吴宇哲; WU Yuzhe

doi:10.48014/fdg.20231115001

长江中游城市群县域住宅地价空间关联特征及其影响因素研究

Study on the Spatial Correlation Characteristics of Residential Land Prices in Counties of the Urban Agglomeration in the Middle Reaches of the Yangtze River and Their Influencing Factors

发展地理学前沿 2023年第2卷第4期页码[38-52] 下载全文[3.2MB] [HTML]

摘要

住宅地价对调控地方经济发展, 优化城市国土空间布局的作用日益凸显。本文以2017年长江中游城市群229个县 (市、区) 的住宅地价为研究对象, 基于均衡价格和区域经济理论, 建立县域住宅地价的影响因素理论模型; 运用空间自相关分析、空间滞后模型等方法对研究区住宅地价空间分布特征及影响因素进行探究。研究结果表明: (1) 长江中游城市群内不同县域住宅地价总体差异显著, 住宅地价水平由低到高整体呈现“金字塔”型分布。 (2) 城市群内县域住宅地价空间分布格局受区位条件和上级市行政等级影响较大。住宅地价在东西方向上呈现倒“U”型分布, 东部整体高于西部; 南北方向上由北向南呈现逐渐下降的趋势。 (3) 研究区县域住宅地价全局莫兰指数为0. 603, 整体存在显著的空间正相关和集聚现象, 在局部上的空间集聚特征明显。 (4) 长江中游城市群县域住宅地价间存在显著正向溢出效应, 研究区县域住宅地价同时受到土地供需因素和政策制度、政府调控能力的强烈影响。相关结论可为城市群通过地价调控优化城市资源配置, 缩小区域发展差距, 促进区域一体化发展提供参考。

Abstract

The role of residential land price in regulating local economic development and optimizing urban land spatial layout is becoming more and more prominent. This paper takes the residential land price of 229 counties (districts, cities) of urban agglomeration in the middle reaches of the Yangtze River in 2017 as the research object, and establishes a theoretical model of the influencing factors of county residential land price based on equilibrium price and regional economic theory; and uses methods of spatial autocorrelation analysis and spatial lag model to explore the spatial distribution characteristics and influencing factors of residential land price in the research area and the influencing factors. The research results indicate that: (1) There are significant overall differences in residential land price among different counties within the urban agglomeration in the middle reaches of the Yangtze River, and the overall distribution of residential land price shows a "pyramid" pattern from low to high. (2) The spatial distribution pattern of residential land price in counties within urban agglomerations is greatly influenced by the location conditions and the administrative level of higher-level cities. The residential land price shows an inverted "U" distribution in the east-west direction, with the eastern part being higher than the western part as a whole; There is a gradual downward trend from north to south in the north-south direction. (3) The Global Moran’s I of residential land prices in the research area is 0. 603, with a significant spatial positive correlation and agglomeration phenomenon. and the obvious local spatial agglomeration characteristics. (4) There is a significant positive spillover effect between county-level residential land price in the urban agglomeration of the middle reaches of the Yangtze River. The residential land price in the study area is strongly influenced by both land supply and demand factors, policy systems, and government regulatory capabilities. The relevant conclusions can provide reference for urban agglomeration to optimize urban resource allocation through land price regulation, narrow regional development gaps, and promote the integrated development of the region.

DOI

10.48014/fdg.20231115001

文章类型

研究性论文

收稿日期

2023-11-15

接收日期

2023-12-26

出版日期

2023-12-28

关键词

长江中游城市群, 住宅地价, 影响因素, 空间滞后模型, 空间特征

Keywords

Urban Agglomeration in the middle reaches of the Yangtze River, residential land price, impact factor, spatial lag model, spatial characteristics

作者

任锦铭^1,*, 曾晨², 吴宇哲¹

Author

REN Jinming^1,*, ZENG Chen², WU Yuzhe¹

所在单位

1. 浙江大学公共管理学院, 杭州 310058
2. 华中农业大学公共管理学院, 武汉 430070

Company

1. School of Public Affairs, Zhejiang University, Hangzhou 310058, China
2. College of Public Administration, Huazhong Agriculture University, Wuhan 430070, China

浏览量

529

下载量

247

基金项目

国家自然科学基金项目(42171262);华中农业大学自主创新基金项目(2662021JC002)

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引用本文

任锦铭, 曾晨, 吴宇哲. 长江中游城市群县域住宅地价空间关联特征及其影响因素研究[J]. 发展地理学前沿, 2023, 2(4): 38-52.

Citation

REN Jinming, ZENG Chen, WU Yuzhe. Study on the spatial correlation characteristics of residen-tial land prices in counties of the urban agglomeration in the middle reaches of the Yangtze River and their influencing factors[J]. Frontiers of Development Geography, 2023, 2(4): 38-52.