气候变化领域集成服务门户(CCPortal): Spatiotemporal pattern and coordination relationship between urban residential land price and land use intensity in 31 provinces and cities in China

CCPortal

DOI	10.1371/journal.pone.0254846
	Spatiotemporal pattern and coordination relationship between urban residential land price and land use intensity in 31 provinces and cities in China
	Cai, Xingran; Liang, Yanqing; Huang, Zhiying; Ge, Jingfeng
通讯作者	Liang, YQ (通讯作者)，Hebei Normal Univ, Coll Resources & Environm Sci, Shijiazhuang, Hebei, Peoples R China. ; Liang, YQ (通讯作者)，Coll Resources & Environm Sci, Hebei Technol Innovat Ctr Remote Sensing Identifi, Shijiazhuang, Hebei, Peoples R China. ; Liang, YQ (通讯作者)，Coll Resources & Environm Sci, Hebei Key Lab Environm Change & Ecol Construct, Shijiazhuang, Hebei, Peoples R China.
发表日期	2021
ISSN	1932-6203
卷号	16 期号:7
英文摘要	The trend towards efficient and intensive use of land resources is an inevitable outcome of current social development. The rational matching of urban land prices and land use intensity has become an important factor under accelerating urbanization, and promotes the healthy development of the social economy. Using data on residential land price and on land use intensity for 31 provinces and cities in China, we employ the E-G cointegration test and quadrant map classification to determine the coordination relationship between land price and land use intensity. We then employ HR coordination to calculate the coordination degree of land price and land use intensity, and classify the coordination type accordingly. Our results are as follows. (1) The spatio-temporal distribution of urban land price shows high variability with multiple maxima, and follows a decreasing trend from the southeast coastal area to the northwest inland area and the northeast. (2) The overall land use intensity is at or above the middle level, and shows large spatial differences between provinces, but the agglomeration between provinces is increasing. (3) From the perspective of the relationship between urban land price and land use intensity at the inter-provincial scale, we find that the land price and land use intensity are well coordinated, and the number of provinces has been dynamically changing during different development periods. There is an east-west difference in the spatial distribution of land price and land use intensity coordination level. Different provinces and cities with the same coordination stage show differences in their land price and land use intensity level.
关键词	USE EFFICIENCY IMPACT CONSTRUCTION MECHANISM VALUES
语种	英语
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:000678123200010
来源期刊	PLOS ONE
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/255062
作者单位	[Cai, Xingran] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou, Gansu, Peoples R China; [Cai, Xingran] Univ Chinese Acad Sci, Beijing, Peoples R China; [Liang, Yanqing; Ge, Jingfeng] Hebei Normal Univ, Coll Resources & Environm Sci, Shijiazhuang, Hebei, Peoples R China; [Liang, Yanqing] Coll Resources & Environm Sci, Hebei Technol Innovat Ctr Remote Sensing Identifi, Shijiazhuang, Hebei, Peoples R China; [Liang, Yanqing; Ge, Jingfeng] Coll Resources & Environm Sci, Hebei Key Lab Environm Change & Ecol Construct, Shijiazhuang, Hebei, Peoples R China; [Huang, Zhiying] Hebei GEO Univ, Sch Land Sci & Space Planning, Shijiazhuang, Hebei, Peoples R China
推荐引用方式 GB/T 7714	Cai, Xingran,Liang, Yanqing,Huang, Zhiying,et al. Spatiotemporal pattern and coordination relationship between urban residential land price and land use intensity in 31 provinces and cities in China[J]. 中国科学院西北生态环境资源研究院,2021,16(7).
APA	Cai, Xingran,Liang, Yanqing,Huang, Zhiying,&Ge, Jingfeng.(2021).Spatiotemporal pattern and coordination relationship between urban residential land price and land use intensity in 31 provinces and cities in China.PLOS ONE,16(7).
MLA	Cai, Xingran,et al."Spatiotemporal pattern and coordination relationship between urban residential land price and land use intensity in 31 provinces and cities in China".PLOS ONE 16.7(2021).