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中国城市住宅价格时空演变研究进展与展望
Research on temporal-spatial changes of urban residential housing price in China: Progress and prospects

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邹利林 1   杨俊 2   胡学东 2  
文摘 城市住宅价格时空演变历来是城市地理学和城市经济学关注的核心内容之一。住宅价格在空间、时间分布上具有内在规律性,探索这一规律信息及其影响机制,有助于政府制定合理的房价调控和土地利用政策。本文在总结中国城市住宅价格时空演变动力机制与模式、影响因素以及技术方法等方面研究进展的基础上,指出在研究内容与研究方法方面仍存在不足,有待深化。研究结论如下:未来中国城市住宅价格时空演变研究应立足于经济转型与制度改革的特殊背景,重视住宅价格时空演变理论框架的构建;加强宏观因素对住宅价格影响的定量研究以及探索住宅价格低值集聚的内外因素,全面考察各类因素对住宅价格的影响;强化GIS 技术对城市住宅价格时空演变特征信息的挖掘,并探索多维空间在时间序列上的动态GIS 模型,实现对住宅价格时空演变与分布的模拟分析与趋势预测;拓展城市住宅价格时空演变的普及性应用,并将研究成果与城市住宅价格监测成果形成动态互补性应用。
其他语种文摘 Since the start of "reform and open" policies, urbanization level of China has increased from 17.92% in 1978 to 51.27% in 2011, urban built-up areas have expanded from 7438.0 km2 to 43603.2 km2, and urban populations have changed from 172 million to 691 million. In the meantime, urban residential housing price has become the focus of attention of general public, and especially the temporal-spatial changes of urban residential housing price have become one of the key research topics in urban geography and urban economics. Urban residential housing price and its distribution, as an important parameter of shaping the tempo-spatial pattern of a city, have its intrinsic regularity in space and time. It is important to explore the mechanism of housing price change and the impacting factors in order to establish a strategy at macro-level to control and regulate the housing price. Review of the literature showed that: (1) The content of the research, based on the theories of urban spatial structure in the West, mainly focus on theoretical exploration and empirical analysis of the mechanism of housing price change in the 21st century, e.g., the tempo-spatial changes, change patterns, the influencing factors. (2) As for the research methods, spatial analysis based on GIS reveals residential housing price changes in time as well as the spatial pattern of housing price differences. A statistical model helps recognize and quantitatively analyze the factors affecting the residential housing price. The results have proven that GIS technology and the statistical model based on econometric theories are both effective means to study the temporal-spatial changes of urban residential housing price. (3) Speaking of research perspectives, the analyses are conducted from the views of geography, sociology, economics, political science, and other multi-disciplinary perspectives, on the temporal-spatial dynamics, the mechanism of the residential housing price changes and influencing factors, which provides a strategic reference to the system and roadmap to control and regulate the housing price. In addition, the review concluded that the current research is still not sufficient, and needs to be deepened in contents and methods. In the future, the research of temporal-spatial changes of urban residential housing price should be based on the special background of the economic transition and system reform, and the construction of a theoretical framework for the research needs to be emphasized. It is necessary to strengthen the quantitative study of macroscopic factors impacting residential housing price, and explore all factors which cause the price to be lower in certain areas, in order to make a comprehensive study of the influencing factors. GIS should be utilized to a greater extent in analyzing the characteristics of temporal-spatial changes of residential housing price, and the dynamic GIS model, including multidimensional space in time series, needs to be created and used in the simulation analysis and trend prediction. All of research results should have universal applicability and complement the monitored results of the dynamic of urban residential price changes. In summary, this paper made a systematic review and summary of the research on tempo-spatial changes of urban residential housing price, i.e., the driving mechanism, change patterns, influencing factors and research methods, and pointed out the prospects of the research, its needs and trends, in promoting the deepening, blending and more innovations of the study, as a reference for further research in this field.
来源 地理科学进展 ,2013,32(10):1479-1489 【核心库】
关键词 城市住宅价格 ; 时空演变 ; 研究进展 ; 中国
地址

1. 华侨大学公共管理学院, 泉州, 362021  

2. 中国地质大学(武汉)公共管理学院, 武汉, 430074

语种 中文
文献类型 综述型
ISSN 1007-6301
学科 自然地理学
基金 国家软科学研究计划项目
文献收藏号 CSCD:4966331

参考文献 共 62 共4页

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引证文献 19 篇

1 吴文佳 北京市景观可达性与住宅价格空间关联 地理科学进展,2014,33(4):488-498
CSCD被引 11 次

2 王芳 基于住宅价格的北京城市空间结构研究 地理科学进展,2014,33(10):1322-1331
CSCD被引 25 次

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