IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0254846.html
   My bibliography  Save this article

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

Author

Listed:
  • Xingran Cai
  • Yanqing Liang
  • Zhiying Huang
  • Jingfeng Ge

Abstract

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.

Suggested Citation

  • Xingran Cai & Yanqing Liang & Zhiying Huang & Jingfeng Ge, 2021. "Spatiotemporal pattern and coordination relationship between urban residential land price and land use intensity in 31 provinces and cities in China," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-16, July.
  • Handle: RePEc:plo:pone00:0254846
    DOI: 10.1371/journal.pone.0254846
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0254846
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0254846&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0254846?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Zheng, Xian & Chen, Xingtao & Yuan, Ziqing, 2021. "Exploring the spatial spillover effect of home purchase restrictions on residential land prices based on the difference-in-differences approach: Evidence from 195 Chinese cities," Land Use Policy, Elsevier, vol. 102(C).
    2. Zhang, Pengyan & Yang, Dan & Qin, Mingzhou & Jing, Wenlong, 2020. "Spatial heterogeneity analysis and driving forces exploring of built-up land development intensity in Chinese prefecture-level cities and implications for future Urban Land intensive use," Land Use Policy, Elsevier, vol. 99(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yangyang Wang & Yanjun Liu & Guolei Zhou & Zuopeng Ma & Hongri Sun & Hui Fu, 2022. "Coordinated Relationship between Compactness and Land-Use Efficiency in Shrinking Cities: A Case Study of Northeast China," Land, MDPI, vol. 11(3), pages 1-19, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gao, Kang & Yuan, Yijun, 2022. "Government intervention, spillover effect and urban innovation performance: Empirical evidence from national innovative city pilot policy in China," Technology in Society, Elsevier, vol. 70(C).
    2. Wang, Liye & Zhang, Siyu & Xiong, Qiangqiang & Liu, Yu & Liu, Yanfang & Liu, Yaolin, 2022. "Spatiotemporal dynamics of cropland expansion and its driving factors in the Yangtze River Economic Belt: A nuanced analysis at the county scale," Land Use Policy, Elsevier, vol. 119(C).
    3. Yanyan Li & Jinbing Zhang & Hui Zhu & Zhimin Zhou & Shan Jiang & Shuangyan He & Ying Zhang & Yicheng Huang & Mengfan Li & Guangrui Xing & Guanghui Li, 2023. "Soil Erosion Characteristics and Scenario Analysis in the Yellow River Basin Based on PLUS and RUSLE Models," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    4. Pengrui Wang & Chen Zeng & Yan Song & Long Guo & Wenping Liu & Wenting Zhang, 2021. "The Spatial Effect of Administrative Division on Land-Use Intensity," Land, MDPI, vol. 10(5), pages 1-18, May.
    5. Zhangsheng Liu & Binbin Lai & Shuangyin Wu & Xiaotian Liu & Qunhong Liu & Kun Ge, 2022. "Growth Targets Management, Regional Competition and Urban Land Green Use Efficiency According to Evidence from China," IJERPH, MDPI, vol. 19(10), pages 1-21, May.
    6. Yu Wang & Lin Zhang, 2023. "The Impact of Technology Innovation on Urban Land Intensive Use in China: Evidence from 284 Cities in China," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    7. Yanyan Wu & Jiadong Yuan, 2022. "Is There a Regulation in the Expansion of Urban Spatial Structure? Empirical Study from the Main Urban Area in Zhengzhou, China," Sustainability, MDPI, vol. 14(5), pages 1-17, March.
    8. Jinjing Hu & Yong Huang & Jie Du, 2021. "The Impact of Urban Development Intensity on Ecological Carrying Capacity: A Case Study of Ecologically Fragile Areas," IJERPH, MDPI, vol. 18(13), pages 1-25, July.
    9. Hui Li & Kunqiu Chen & Lei Yan & Yulin Zhu & Liuwen Liao & Yangle Chen, 2021. "Urban Land Use Transitions and the Economic Spatial Spillovers of Central Cities in China’s Urban Agglomerations," Land, MDPI, vol. 10(6), pages 1-27, June.
    10. Jinlin Li & Litai Chen & Ying Chen & Jiawen He, 2022. "Digital economy, technological innovation, and green economic efficiency—Empirical evidence from 277 cities in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(3), pages 616-629, April.
    11. Taiyi Zang & Hongmei Gu, 2023. "State-Space Modeling of Housing Sentiment for Regressing Changes of Real Estate Prices Following Short-Term Control Policy in China," Sustainability, MDPI, vol. 15(16), pages 1-19, August.
    12. Yu, Qing & Hui, Eddie Chi-Man & Shen, Jianfu, 2023. "Do local governments capitalise on the spillover effect in the housing market? Quasi-experimental evidence from house purchase restrictions in China," Land Use Policy, Elsevier, vol. 133(C).
    13. Dan Yang & Zhenyue Liu & Pengyan Zhang & Zhuo Chen & Yinghui Chang & Qianxu Wang & Xinyue Zhang & Rong Lu & Mengfan Li & Guangrui Xing & Guanghui Li, 2022. "Understanding Relationships between Cultivated Land Pressure and Economic Development Level across Spatiotemporal Characteristics: Implications for Supporting Land-Use Management Decisions," IJERPH, MDPI, vol. 19(23), pages 1-17, December.
    14. Zubaida Muyibul & Xiaoping Tan & Juma Tuniyazi & Rongrong Du, 2023. "Relationships between Tourism, Urbanization and Ecosystem Service Value in the Cities of Xinjiang in Northwest China," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    15. Wang, Liye & Zhang, Siyu & Tang, Lanping & Lu, Yanchi & Liu, Yanfang & Liu, Yaolin, 2022. "Optimizing distribution of urban land on the basis of urban land use intensity at prefectural city scale in mainland China," Land Use Policy, Elsevier, vol. 115(C).
    16. Yuanyuan Lou & Dan Yang & Pengyan Zhang & Ying Zhang & Meiling Song & Yicheng Huang & Wenlong Jing, 2022. "Multi-Scenario Simulation of Land Use Changes with Ecosystem Service Value in the Yellow River Basin," Land, MDPI, vol. 11(7), pages 1-17, June.
    17. Zhanhang Zhou & Linjian Cao & Kuokuo Zhao & Dongliang Li & Ci Ding, 2021. "Spatio-Temporal Effects of Multi-Dimensional Urbanization on Carbon Emission Efficiency: Analysis Based on Panel Data of 283 Cities in China," IJERPH, MDPI, vol. 18(23), pages 1-20, December.
    18. Men, Dan & Pan, Jinghu, 2023. "Ecological network identification and connectivity robustness evaluation in the Yellow River Basin under a multi-scenario simulation," Ecological Modelling, Elsevier, vol. 482(C).
    19. Xiaoguang Liu & Jian Yu & Tsun Se Cheong & Michal Wojewodzki, 2022. "The Future Evolution of Housing Price-to-Income Ratio in 171 Chinese Cities," Annals of Economics and Finance, Society for AEF, vol. 23(1), pages 159-196, May.
    20. Han Wang & Yujie Jin & Xingming Hong & Fuan Tian & Jianxian Wu & Xin Nie, 2022. "Integrating IPAT and CLUMondo Models to Assess the Impact of Carbon Peak on Land Use," Land, MDPI, vol. 11(4), pages 1-16, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0254846. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.