- 规划与建设
- 文章编号：1009-6000(2026)04-0070-07
- 中图分类号：F293；X522 文献标识码：B
- Doi：10.3969/j.issn.1009-6000.2026.04.010
- 项目基金：国家自然科学基金“中欧人才”项目“基于中荷比较的‘蓝绿廊道’健康环境治理与协作规划方法研究”（52211530429）；国家自然科学基金青年科学基金项目 “健康步行的‘蓝绿廊道’空间品质测度与碧道规划应对研究”（52008171）；广东省哲学社会科学规划2024年度常规项目“绿美广东生态建设背景下广州河涌治理的住房价格影响与环境公平优化策略研究”（GD24CGL64）；亚热带建筑与城市科学全国重点实验室自主课题“住房价格视角下‘蓝绿治理’经济效益测度：以广州、成都为例” （2023ZB19）；中央高校基本科研业务费专项“城镇老旧小区改造可复制清单政策的再生产机制与实效研究”（QNZD2504）。
- 作者简介：刘铮，通信作者，博士，华南理工大学亚热带建筑与城市科学全国重点实验室成员，华南理工大学建筑学院副教授、博士生导师，研究方向为国土空间治理与规划政策研究；
李音键，华南理工大学建筑学院硕士研究生；
白一帆，华南理工大学建筑学院硕士研究生。
- 城市河涌水体污染与污染治理对周边住房价格的影响测度——基于特征价格模型的广州实证
- Measuring the Influence of Pollution and Restoration of Urban Watercourses on Adjacent Housing Prices: A Case Study in Guangzhou Using Hedonic Pricing Models
- 刘铮 李音键 白一帆
- LIU Zheng LI Yinjian BAI Yifan
- 摘要：
城市河涌水体污染是购房者选择偏好与支付意愿的重要影响因素之一，周边住房交易价格的差异变化可以作为污染程度与治理干预作用的具体体现。为测度城市河涌水体污染的外部影响，以及污染治理的社会与经济效益，文章以 2016 年至 2020 年期间广州 7 条典型河涌周边居住小区存量住房交易价格为研究对象，从空间邻近与水体质量角度测度广州河涌对周边住房价格的影响，并进一步考察河涌治理后的影响变化。研究识别典型河涌对周边住房价格影响的空间阈值为 0.35 km，该范围内河涌负外部性突出，住房距离河涌越近价格越低。具体而言，污染水体的负外部性体现为水体质量越差周边住房价格越低。同时，污染治理能够有效降低河涌水体负外部性，并在一定程度上带来周边住房的增值。但是，住房增值的程度随水质改善呈边际下降趋势。 - 关键词：
住房价格；城市河涌；空间邻近；水体质量；特征价格模型 - Abstract: The pollution of urban watercourses in cities can affect the choice preferences and willingness of home buyers, and the differences in transaction prices of surrounding housing can serve as a concrete manifestation of the degree of pollution and the intervention effect of governance. Based on the transaction prices of housing stock near seven typical watercourses in Guangzhou from 2016 to 2020, we focus on the impact of watercourses on adjacent housing price and changes after water restorations from the dimensions of spatial proximity and water quality, to measure the external impact of watercourses pollution as well as the social and economic benefi ts of restorations. The results indicate that the spatial threshold for the impact is 0.35 kilometers, beyond which the impact is not signifi cant. Within 0.35 kilometers, the seven typical watercourses exhibit a signifi cant negative externality, meaning that closer proximity to the river correlates with lower housing prices. Additionally, the negative externality of polluted water body is also very signifi cant, indicating that poorer water quality leads to lower surrounding housing prices. Water restorations have effectively reduced these negative externalities and, to some extent, increased surrounding housing prices. However, with the improvement of water quality, the increase in housing prices shows a marginal decreasing trend.
- Key words: housing price; urban watercourses; spatial proximity; water quality; hedonic pricing model