IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i23p16255-d993644.html
   My bibliography  Save this article

The Industrial Sprawl in China from 2010 to 2019: A Multi-Level Spatial Analysis Based on Urban Scaling Law

Author

Listed:
  • Lu Zhang

    (School of Public Administration, Central China Normal University, Wuhan 430079, China)

  • Xuehan Lin

    (School of Public Administration, Central China Normal University, Wuhan 430079, China)

  • Bingkui Qiu

    (Department of Tourism Management, Jin Zhong University, Jinzhong 030619, China)

  • Maomao Zhang

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Qingsong He

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

Studying the spatial-temporal distribution industrial sprawl in China is important to solve industrial sprawl problems and promote urban sustainable development. This paper constructed a multi-level spatial analysis of the Chinese industrial sprawl during 2010–2019 by mainly using urban scaling law, supplemented by GIS methods. Results showed that: (1) China had obvious industrial sprawl with a growth rate of 31.79%, reaching 2762.37 km 2 between 2010 and 2019. (2) There was a stronger industrial sprawl in large cities with a larger population according to urban scaling law, especially in the East. (3) The industrial sprawl was mainly concentrated in the cities in the Northeast, Beijing-Tianjin-Hebei region, Shandong Peninsula, Yangtze River Delta region, Pearl River Delta region, Middle Yangtze River region, Fujian Province, and some cities in the West. (4) The gravity center of industrial sprawl generally moved southwest and distributed in Hubei Province. This study provided references for improving the efficiency of industrial land use and promoting high-quality urban development.

Suggested Citation

  • Lu Zhang & Xuehan Lin & Bingkui Qiu & Maomao Zhang & Qingsong He, 2022. "The Industrial Sprawl in China from 2010 to 2019: A Multi-Level Spatial Analysis Based on Urban Scaling Law," IJERPH, MDPI, vol. 19(23), pages 1-14, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:16255-:d:993644
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/23/16255/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/23/16255/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rudolf Cesaretti & José Lobo & Luís M A Bettencourt & Scott G Ortman & Michael E Smith, 2016. "Population-Area Relationship for Medieval European Cities," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-27, October.
    2. Anthony F J van Raan & Gerwin van der Meulen & Willem Goedhart, 2016. "Urban Scaling of Cities in the Netherlands," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-16, January.
    3. Shengfu Yang & Shougeng Hu & Weidong Li & Chuanrong Zhang & Dongdong Song, 2020. "Spatio-Temporal Nonstationary Effects of Impact Factors on Industrial Land Price in Industrializing Cities of China," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    4. Liu, Yong & Fan, Peilei & Yue, Wenze & Song, Yan, 2018. "Impacts of land finance on urban sprawl in China: The case of Chongqing," Land Use Policy, Elsevier, vol. 72(C), pages 420-432.
    5. Walid Oueslati & Seraphim Alvanides & Guy Garrod, 2015. "Determinants of urban sprawl in European cities," Urban Studies, Urban Studies Journal Limited, vol. 52(9), pages 1594-1614, July.
    6. Maomao Zhang & Abdulla-Al Kafy & Bing Ren & Yanwei Zhang & Shukui Tan & Jianxing Li, 2022. "Application of the Optimal Parameter Geographic Detector Model in the Identification of Influencing Factors of Ecological Quality in Guangzhou, China," Land, MDPI, vol. 11(8), pages 1-20, August.
    7. Zhang, Wenxi & Wang, Bo & Wang, Jian & Wu, Qun & Wei, Yehua Dennis, 2022. "How does industrial agglomeration affect urban land use efficiency? A spatial analysis of Chinese cities," Land Use Policy, Elsevier, vol. 119(C).
    8. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    9. Lu, Shenghua & Wang, Hui, 2020. "Local economic structure, regional competition and the formation of industrial land price in China: Combining evidence from process tracing with quantitative results," Land Use Policy, Elsevier, vol. 97(C).
    10. Kuang, Bing & Lu, Xinhai & Zhou, Min & Chen, Danling, 2020. "Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    11. Wei Chen & Rui He & Qun Wu, 2017. "A Novel Efficiency Measure Model for Industrial Land Use Based on Subvector Data Envelope Analysis and Spatial Analysis Method," Complexity, Hindawi, vol. 2017, pages 1-11, December.
    12. Maomao Zhang & Cheng Zhang & Abdulla-Al Kafy & Shukui Tan, 2021. "Simulating the Relationship between Land Use/Cover Change and Urban Thermal Environment Using Machine Learning Algorithms in Wuhan City, China," Land, MDPI, vol. 11(1), pages 1-17, December.
    13. Wenfang Pu & Anlu Zhang, 2021. "Can Market Reforms Curb the Expansion of Industrial Land?—Based on the Panel Data Analysis of Five National-Level Urban Agglomerations," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    14. He, Qingsong & Xu, Min & Xu, Zike & Ye, Yanmei & Shu, Xianfan & Xie, Peng & Wu, Jiayu, 2019. "Promotion incentives, infrastructure construction, and industrial landscapes in China," Land Use Policy, Elsevier, vol. 87(C).
    15. Luís M A Bettencourt & José Lobo & Deborah Strumsky & Geoffrey B West, 2010. "Urban Scaling and Its Deviations: Revealing the Structure of Wealth, Innovation and Crime across Cities," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-9, November.
    16. Xu, Gang & Xu, Zhibang & Gu, Yanyan & Lei, Weiqian & Pan, Yupiao & Liu, Jie & Jiao, Limin, 2020. "Scaling laws in intra-urban systems and over time at the district level in Shanghai, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    17. Lei Kang & Li Ma, 2021. "Expansion of Industrial Parks in the Beijing–Tianjin–Hebei Urban Agglomeration: A Spatial Analysis," Land, MDPI, vol. 10(11), pages 1-18, 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. Qingsong He & Lingping Huang & Jing Li, 2022. "Rediscovering the Scaling Law of Urban Land from a Multi-Scale Perspective—A Case Study of Wuhan," Land, MDPI, vol. 11(6), pages 1-15, June.
    2. Zhou, Yang & Li, Xunhuan & Liu, Yansui, 2020. "Rural land system reforms in China: History, issues, measures and prospects," Land Use Policy, Elsevier, vol. 91(C).
    3. Sijia Li & Meichen Fu & Yi Tian & Yuqing Xiong & Cankun Wei, 2022. "Relationship between Urban Land Use Efficiency and Economic Development Level in the Beijing–Tianjin–Hebei Region," Land, MDPI, vol. 11(7), pages 1-18, June.
    4. Li, Zekun & Chen, Zhenhua, 2023. "Predicting the future development scale of high-speed rail through the urban scaling law," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    5. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    6. Yan, Siqi & Peng, Jianchao & Wu, Qun, 2020. "Exploring the non-linear effects of city size on urban industrial land use efficiency: A spatial econometric analysis of cities in eastern China," Land Use Policy, Elsevier, vol. 99(C).
    7. Mengchao Yao & Yihua Zhang, 2021. "Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    8. Yanxi Lei & Zuoji Dong & Jichang Dong & Zhi Dong, 2023. "Multidimensional Evaluation of Urban Land-Use Efficiency and Innovation Capability Analysis: A Case Study in the Pearl River Delta Region, China," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    9. Zhu, Xinhua & Li, Yan & Zhang, Peifeng & Wei, Yigang & Zheng, Xuyang & Xie, Lingling, 2019. "Temporal–spatial characteristics of urban land use efficiency of China’s 35mega cities based on DEA: Decomposing technology and scale efficiency," Land Use Policy, Elsevier, vol. 88(C).
    10. Fabiano L Ribeiro & Joao Meirelles & Vinicius M Netto & Camilo Rodrigues Neto & Andrea Baronchelli, 2020. "On the relation between transversal and longitudinal scaling in cities," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-20, May.
    11. Wang, Hongzheng & Lu, Xinhai & Feng, Lianyue & Yuan, Zhihang & Tang, Yifeng & Jiang, Xu, 2023. "Dynamic change and evolutionary mechanism of city land leasing network—Taking the Yangtze River Delta region in China as an example," Land Use Policy, Elsevier, vol. 132(C).
    12. Qin Wang & Qin Ju & Yueyang Wang & Quanxi Shao & Rongrong Zhang & Yanli Liu & Zhenchun Hao, 2022. "Vegetation Changing Patterns and Its Sensitivity to Climate Variability across Seven Major Watersheds in China," IJERPH, MDPI, vol. 19(21), pages 1-19, October.
    13. Lei Yao & Wentian Xu & Ying Xu & Shuo Sun, 2022. "Examining the Potential Scaling Law in Urban PM2.5 Pollution Risks along with the Nationwide Air Environmental Effort in China," IJERPH, MDPI, vol. 19(8), pages 1-18, April.
    14. Deborah Strumsky & Jose Lobo & Charlotta Mellander, 2021. "As different as night and day: Scaling analysis of Swedish urban areas and regional labor markets," Environment and Planning B, , vol. 48(2), pages 231-247, February.
    15. Xiaofeng Zhao & Mingming Zhang & Ying Li & Xianjin Huang & Baiyuan Wang & Lin Zhang, 2020. "Urban residential land expansion and agglomeration in China: a spatial analysis approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5317-5335, August.
    16. Qian Wang & Yanan Wang & Wei Chen & Xue Zhou & Minjuan Zhao, 2021. "Factors affecting industrial land use efficiency in China: analysis from government and land market," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 10973-10993, July.
    17. Wang, Jian & Wu, Qun & Yan, Siqi & Guo, Guancheng & Peng, Shangui, 2020. "China’s local governments breaking the land use planning quota: A strategic interaction perspective," Land Use Policy, Elsevier, vol. 92(C).
    18. 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.
    19. Lei, Weiqian & Jiao, Limin & Xu, Gang, 2022. "Understanding the urban scaling of urban land with an internal structure view to characterize China’s urbanization," Land Use Policy, Elsevier, vol. 112(C).
    20. Fanchao Kong & Kaixiao Zhang & Hengshu Fu & Lina Cui & Yang Li & Tengteng Wang, 2023. "Temporal–Spatial Variations and Convergence Analysis of Land Use Eco-Efficiency in the Urban Agglomerations of the Yellow River Basin in China," Sustainability, MDPI, vol. 15(16), pages 1-20, August.

    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:jijerp:v:19:y:2022:i:23:p:16255-:d:993644. 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.