PROGRESS IN GEOGRAPHY ›› 2013, Vol. 32 ›› Issue (10): 1479-1489.doi: 10.11820/dlkxjz.2013.10.006

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Research on temporal-spatial changes of urban residential housing price in China: Progress and prospects

ZOU Lilin1, YANG Jun2, HU Xuedong2   

  1. 1. College of Public Administration, Huaqiao University, Quanzhou 362021, China;
    2. School of Public Administration, China University of Geosciences, Wuhan 430074, China
  • Received:2013-04-01 Revised:2013-08-01 Online:2013-10-25 Published:2013-10-24

Abstract: 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.

Key words: China, research progress, temporal-spatial changes, urban residential housing price