IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i7p1077-d1437217.html
   My bibliography  Save this article

Spatio-Temporal Evolution and Drivers of High-Quality Utilization of Urban Land in Chinese Cities

Author

Listed:
  • Jinhua Liu

    (School of Public Administration, Central China Normal University, Wuhan 430079, China
    Institute of Natural Resource Governance, Central China Normal University, Wuhan 430079, China)

  • Xiaozhou Huang

    (School of Statistics and Mathematics, Hubei University of Economics, Wuhan 430205, China)

Abstract

High-quality utilization of urban land (HUUL) is essential for optimizing urban land use and promoting high-quality development. Previous research has mainly focused on examining urban land use efficiency, neglecting the connection between urban land use and high-quality development. This study reveals the intrinsic association mechanism between high-quality development and urban land use, which can provide comprehensive theoretical and empirical support for high-quality land use and high-quality urban development. This study constructed an evaluation system for HUUL that comprehensively adopted the entropy method, kernel density estimation, and the geodetector model to analyze the spatio-temporal evolution and driving factors of the HUUL levels of 284 Chinese cities from 2006 to 2020. The measurement results showed that during 2006–2020, the HUUL level showed an apparent upward trend, and the eastern region > the central region > the overall region > the western region > the northeast region. From the kernel density map, there was a noticeable trend of varying degrees of increase in the difference of the main peak position of the HUUL level among cities in all regions except the west. Furthermore, some cities in the eastern and western regions had significantly higher HUUL levels than the others. According to the results of the factor analysis, it is evident that innovative use and open use are the internal primary factors that drive the enhancement of the HUUL level. Moreover, the level of economic development is the external primary factor that facilitates the improvement in HUUL level.

Suggested Citation

  • Jinhua Liu & Xiaozhou Huang, 2024. "Spatio-Temporal Evolution and Drivers of High-Quality Utilization of Urban Land in Chinese Cities," Land, MDPI, vol. 13(7), pages 1-15, July.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:1077-:d:1437217
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/7/1077/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/13/7/1077/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Quah, D., 1990. "Galton'S Fallacy And The Tests Of The Convergence Hypothesis," Working papers 552, Massachusetts Institute of Technology (MIT), Department of Economics.
    2. Aiping Wang & Weifen Lin & Bei Liu & Hui Wang & Hong Xu, 2021. "Does Smart City Construction Improve the Green Utilization Efficiency of Urban Land?," Land, MDPI, vol. 10(6), pages 1-18, June.
    3. Kun Ge & Shan Zou & Danling Chen & Xinhai Lu & Shangan Ke, 2021. "Research on the Spatial Differences and Convergence Mechanism of Urban Land Use Efficiency under the Background of Regional Integration: A Case Study of the Yangtze River Economic Zone, China," Land, MDPI, vol. 10(10), pages 1-20, October.
    Full references (including those not matched with items on IDEAS)

    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. Mingzhi Zhang & Hongyu Liu & Yangyue Su & Xiangyu Zhou & Zhaocheng Li & Chao Chen, 2022. "Assessment and Decomposition of Regional Land Use Efficiency of the Service Sector in China," Land, MDPI, vol. 11(11), pages 1-19, October.
    2. Liangen Zeng, 2022. "The Driving Mechanism of Urban Land Green Use Efficiency in China Based on the EBM Model with Undesirable Outputs and the Spatial Dubin Model," IJERPH, MDPI, vol. 19(17), pages 1-20, August.
    3. Xinhai Lu & Xiangqian Tao, 2023. "Local Government Environmental Attention and Urban Land Green Use Efficiency in China: The Intermediary Role of Industrial Restructuring," Land, MDPI, vol. 13(1), pages 1-18, December.
    4. Kutuk, Yasin, 2022. "Inequality convergence: A world-systems theory approach," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 150-165.
    5. Sebastian Weber, 2009. "European Financial Market Integration: A Closer Look at Government Bonds in Eurozone Countries," Working Paper / FINESS 1.1b, DIW Berlin, German Institute for Economic Research.
    6. JOrge Alonso Lotero Contreras & Sergio Restrepo & Liliana Yaned Franco Vásquez, 2000. "Modelos de desarrollo y convergencia interregional de la productividad industrial en Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 52, pages 51-85, Enero Jun.
    7. Wang, Ke & Yang, Kexin & Wei, Yi-Ming & Zhang, Chi, 2018. "Shadow prices of direct and overall carbon emissions in China’s construction industry: A parametric directional distance function-based sensitive estimation," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 180-193.
    8. Phiri, Andrew, 2018. "Is Swaziland on a path of convergence towards her main trading partners?," MPRA Paper 88790, University Library of Munich, Germany.
    9. Vos, Rob & Frenkel, Roberto & Ocampo, José Antonio & Palma, José Gabriel & Marfán, Manuel & Ros, Jaime & Taylor, Lance & Correa, Nelson & Cimoli, Mario, 2005. "Beyond Reforms: Structural Dynamics and Macroeconomic Vulnerability," IDB Publications (Books), Inter-American Development Bank, number 347, November.
    10. Mulder, Peter & de Groot, Henri L.F. & Pfeiffer, Birte, 2014. "Dynamics and determinants of energy intensity in the service sector: A cross-country analysis, 1980–2005," Ecological Economics, Elsevier, vol. 100(C), pages 1-15.
    11. Ramesh Chandra Das & Soumyananda Dinda & Frank Martin, 2018. "Defence Outlays Across Countries: Are They Converging?," South Asian Journal of Macroeconomics and Public Finance, , vol. 7(1), pages 109-129, June.
    12. Michelacci, Claudio & Zaffaroni, Paolo, 2000. "(Fractional) beta convergence," Journal of Monetary Economics, Elsevier, vol. 45(1), pages 129-153, February.
    13. Catherine Fuss, 1999. "Mesures et tests de convergence : une revue de la littérature," Revue de l'OFCE, Programme National Persée, vol. 69(1), pages 221-249.
    14. Zhao, Xueting & Burnett, J. Wesley & Lacombe, Donald J., 2014. "Province-level Convergence of China CO2 Emission Intensity," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169403, Agricultural and Applied Economics Association.
    15. Ewa Lechman, 2012. "Technology convergence and digital divides. A country-level evidence for the period 2000–2010," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 31.
    16. Jesús Clemente & Rafael González-Val & Irene Olloqui, 2011. "Zipf’s and Gibrat’s laws for migrations," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(1), pages 235-248, August.
    17. Cristina Brasili & Luciano Gutierrez, 2004. "Regional convergence across European Union," Development and Comp Systems 0402002, University Library of Munich, Germany.
    18. Miketa, Asami & Mulder, Peter, 2005. "Energy productivity across developed and developing countries in 10 manufacturing sectors: Patterns of growth and convergence," Energy Economics, Elsevier, vol. 27(3), pages 429-453, May.
    19. Steven N. Durlauf & Andros Kourtellos & Chih Ming Tan, 2008. "Empirics of Growth and Development," Chapters, in: Amitava Krishna Dutt & Jaime Ros (ed.), International Handbook of Development Economics, Volumes 1 & 2, volume 0, chapter 3, Edward Elgar Publishing.
    20. Leone Leonida & Leone Leonida & Daniel Montolio, 2003. "Public Capital, Growth and Convergence in Spain. A Counterfactual Density Estimation Approach," Working Papers 2003/3, Institut d'Economia de Barcelona (IEB).

    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:gam:jlands:v:13:y:2024:i:7:p:1077-:d:1437217. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.