Spatiotemporal pattern and coordination relationship between urban residential land price and land use intensity in 31 provinces and cities in China.

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...

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Autores principales: Xingran Cai, Yanqing Liang, Zhiying Huang, Jingfeng Ge
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Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/519f5722b7a747eb978be9c0a6ac65aa
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spelling oai:doaj.org-article:519f5722b7a747eb978be9c0a6ac65aa2021-12-02T20:06:46ZSpatiotemporal pattern and coordination relationship between urban residential land price and land use intensity in 31 provinces and cities in China.1932-620310.1371/journal.pone.0254846https://doaj.org/article/519f5722b7a747eb978be9c0a6ac65aa2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254846https://doaj.org/toc/1932-6203The 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.Xingran CaiYanqing LiangZhiying HuangJingfeng GePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254846 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Xingran Cai
Yanqing Liang
Zhiying Huang
Jingfeng Ge
Spatiotemporal pattern and coordination relationship between urban residential land price and land use intensity in 31 provinces and cities in China.
description 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.
format article
author Xingran Cai
Yanqing Liang
Zhiying Huang
Jingfeng Ge
author_facet Xingran Cai
Yanqing Liang
Zhiying Huang
Jingfeng Ge
author_sort Xingran Cai
title Spatiotemporal pattern and coordination relationship between urban residential land price and land use intensity in 31 provinces and cities in China.
title_short Spatiotemporal pattern and coordination relationship between urban residential land price and land use intensity in 31 provinces and cities in China.
title_full Spatiotemporal pattern and coordination relationship between urban residential land price and land use intensity in 31 provinces and cities in China.
title_fullStr Spatiotemporal pattern and coordination relationship between urban residential land price and land use intensity in 31 provinces and cities in China.
title_full_unstemmed Spatiotemporal pattern and coordination relationship between urban residential land price and land use intensity in 31 provinces and cities in China.
title_sort spatiotemporal pattern and coordination relationship between urban residential land price and land use intensity in 31 provinces and cities in china.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/519f5722b7a747eb978be9c0a6ac65aa
work_keys_str_mv AT xingrancai spatiotemporalpatternandcoordinationrelationshipbetweenurbanresidentiallandpriceandlanduseintensityin31provincesandcitiesinchina
AT yanqingliang spatiotemporalpatternandcoordinationrelationshipbetweenurbanresidentiallandpriceandlanduseintensityin31provincesandcitiesinchina
AT zhiyinghuang spatiotemporalpatternandcoordinationrelationshipbetweenurbanresidentiallandpriceandlanduseintensityin31provincesandcitiesinchina
AT jingfengge spatiotemporalpatternandcoordinationrelationshipbetweenurbanresidentiallandpriceandlanduseintensityin31provincesandcitiesinchina
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