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中国城市住宅价格时空演变研究进展与展望
  • ISSN号:1007-6301
  • 期刊名称:《地理科学进展》
  • 时间:0
  • 分类:P315.72[天文地球—地震学;天文地球—固体地球物理学;天文地球—地球物理学]
  • 作者机构:[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
  • 相关基金:基金项目:国家软科学研究计划项目(2011GXQ4D087).
中文摘要:

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。

英文摘要:

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 t72 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 resi- dential 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

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期刊信息
  • 《地理科学进展》
  • 北大核心期刊(2011版)
  • 主管单位:中科院出版委员会
  • 主办单位:中国科学院地理科学与资源研究所
  • 主编:李秀彬
  • 地址:北京安外大屯路甲11号917大楼
  • 邮编:100101
  • 邮箱:editor@progressingeograply.com
  • 电话:010-64889313
  • 国际标准刊号:ISSN:1007-6301
  • 国内统一刊号:ISSN:11-3858/P
  • 邮发代号:2-940
  • 获奖情况:
  • 全国中文核心期刊
  • 国内外数据库收录:
  • 日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:30394