Spatiotemporal Effects of Main Impact Factors on Residential Land Price in Major Cities of China
文献类型：期刊论文
| 作者 | Yang, Shengfu3,4; Hu, Shougeng2,4; Li, Weidong3; Zhang, Chuanrong3; Torres, Jose A.1 |
| 刊名 | SUSTAINABILITY
 |
| 出版日期 | 2017-11-01 |
| 卷号 | 9期号:11页码:16 |
| 关键词 | spatiotemporal effect residential land price impact factor GWR geographical detector China |
| ISSN号 | 2071-1050 |
| DOI | 10.3390/su9112050 |
| 通讯作者 | Hu, Shougeng(husg2009@gmail.com) |
| 英文摘要 | With the rapid development of land marketization in China, the spatial patterns of residential land prices in different regions have become increasingly complicated. The very high and continuously rising residential land prices in many cities are causing significant challenges to economic development and social stability. Yet, there has only been a limited amount of attempts made to model and analyze the regional dynamic changes of residential land price systematically, especially in term of the spatially varying effects of key demographic and economic factors. In this study we provided a perspective analysis of the changes of residential land prices in 2008, 2011 and 2014 based on the land price monitoring records of 105 cities and then conducted a geographically weighted regression (GWR) analysis on the relationships between residential land price and three major impact factors (i.e., immigrant population, gross domestic product (GDP) and investment in residential buildings). Results show that the areas in which GDP had relatively strong positive impacts on residential land price expanded with time. The negative effects of immigrant population on residential land price were mainly concentrated in the cities around the Bohai Rim and the area with negative effects gradually shrank in the three studied years. Conversely, the areas with negative correlation between investment in residential buildings and residential land price gradually expanded in size over time. A geographical detector was used to examine the relative importance of factors to residential land price. It was found that the GDP had more significant influence on residential land price than other factors and the influence of the three factors to overall variation in residential land price increased over the three studied years. These results underscore the importance of taking spatially varying effects of major driving factors into account in policy-making on regional land market. |
| WOS关键词 | GEOGRAPHICALLY WEIGHTED REGRESSION ; SPATIAL NON-STATIONARITY ; HOUSING-MARKET DYNAMICS ; RAPID URBANIZATION ; INVESTMENT ; RENTS ; CONSTRAINTS ; IMMIGRATION ; DENSITY ; QUALITY |
| 资助项目 | Chinese National Science Foundation[41671518] ; Special Fund for Public Welfare Research of Ministry of Land and Resources in China[201511004-2] |
| WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000416793400130 |
| 出版者 | MDPI AG |
| 资助机构 | Chinese National Science Foundation ; Special Fund for Public Welfare Research of Ministry of Land and Resources in China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/60676]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Hu, Shougeng |
| 作者单位 | 1.Cent Michigan Univ, Dept Geog & Environm Studies, 1200 S Franklin St, Mt Pleasant, MI 48859 USA 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Univ Connecticut, Dept Geog, Ctr Environm Sci & Engn, 215 Glenbrook Rd,Unit 4148, Storrs, CT 06269 USA 4.China Univ Geosci, Dept Land Resources Management, Wuhan 430074, Hubei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Shengfu,Hu, Shougeng,Li, Weidong,et al. Spatiotemporal Effects of Main Impact Factors on Residential Land Price in Major Cities of China[J]. SUSTAINABILITY,2017,9(11):16. |
| APA | Yang, Shengfu,Hu, Shougeng,Li, Weidong,Zhang, Chuanrong,&Torres, Jose A..(2017).Spatiotemporal Effects of Main Impact Factors on Residential Land Price in Major Cities of China.SUSTAINABILITY,9(11),16. |
| MLA | Yang, Shengfu,et al."Spatiotemporal Effects of Main Impact Factors on Residential Land Price in Major Cities of China".SUSTAINABILITY 9.11(2017):16. |
入库方式： OAI收割
来源：地理科学与资源研究所
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