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. 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).
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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).
    12. 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).
    13. 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.
    14. 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).
    15. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    16. 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.
    17. 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).
    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. Chen Cheng & Si Cheng & Chunsheng Feng, 2024. "The Triple Helix Model for Industry-Education City Integration in China: A Development Approach," SAGE Open, , vol. 14(2), pages 21582440241, May.

    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. Chen, Danling & Li, Yuying & Zhang, Chaozheng & Zhang, Yunlei & Hou, Jiao & Lin, Yaoben & Wu, Shiman & Lang, Yan & Hu, Wenbo, 2024. "Regional coordinated development policy as an instrument for alleviating land finance dependency: Evidence from the urban agglomeration development," Land Use Policy, Elsevier, vol. 143(C).
    3. 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.
    4. 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.
    5. 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).
    6. Feng Yuan & Weiye Xiao & Yehua Dennis Wei, 2023. "Heterogeneous mechanisms of urban land price in China: a perspective of natural restrictions and strategic supply," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    7. Shanshan Xiang & Liping Shan & Wuzhou Li & Lingyan Huang, 2023. "A Comparative Analysis of the Interaction between Urban-Rural Construction Land Transition and Population Flow: Dominant and Recessive Perspectives," Land, MDPI, vol. 12(10), pages 1-21, September.
    8. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Land use efficiency and influencing factors of urban agglomerations in China," Land Use Policy, Elsevier, vol. 88(C).
    9. Tan, Ronghui & Liu, Pengcheng & Zhou, Kehao & He, Qingsong, 2022. "Evaluating the effectiveness of development-limiting boundary control policy: Spatial difference-in-difference analysis," Land Use Policy, Elsevier, vol. 120(C).
    10. Joao Meirelles & Fabiano L. Ribeiro & Gabriel Cury & Claudia R. Binder & Vinicius M. Netto, 2021. "More from Less? Environmental Rebound Effects of City Size," Sustainability, MDPI, vol. 13(7), pages 1-20, April.
    11. Xin Janet Ge & Xiaoxia Liu, 2021. "Urban Land Use Efficiency under Resource-Based Economic Transformation—A Case Study of Shanxi Province," Land, MDPI, vol. 10(8), pages 1-20, August.
    12. Huang, Jing & Han, Wenjing & Zhang, Zhengfeng & Ning, Shanshan & Zhang, Xiaoling, 2024. "The decoupling relationship between land use efficiency and carbon emissions in China: An analysis using the Socio-Ecological Systems (SES) framework," Land Use Policy, Elsevier, vol. 138(C).
    13. Jose Lobo & Luis MA Bettencourt & Michael E Smith & Scott Ortman, 2020. "Settlement scaling theory: Bridging the study of ancient and contemporary urban systems," Urban Studies, Urban Studies Journal Limited, vol. 57(4), pages 731-747, March.
    14. Zhang, Bangbang & Li, Jiaxiang & Tian, Wenmiao & Chen, Haibin & Kong, Xiangbin & Chen, Wei & Zhao, Minjuan & Xia, Xianli, 2020. "Spatio-temporal variances and risk evaluation of land finance in China at the provincial level from 1998 to 2017," Land Use Policy, Elsevier, vol. 99(C).
    15. Tan, Shukui & Hu, Bixia & Kuang, Bing & Zhou, Min, 2021. "Regional differences and dynamic evolution of urban land green use efficiency within the Yangtze River Delta, China," Land Use Policy, Elsevier, vol. 106(C).
    16. António Curado & Bruno Damásio & Sara Encarnação & Cristian Candia & Flávio L Pinheiro, 2021. "Scaling behavior of public procurement activity," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-19, December.
    17. Sutton, Jack & Shahtahmassebi, Golnaz & Hanley, Quentin S. & Ribeiro, Haroldo V., 2024. "A heteroscedastic Bayesian generalized logistic regression model with application to scaling problems," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    18. Xiaoying Ju & Huizhao Li & Peng Yao & Jianxu Liu & Fei Chen & Songsak Sriboonchitta, 2022. "Analysis of the Impact of Industrial Land Price Distortion on Overcapacity in the Textile Industry and Its Sustainability in China," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    19. Anthony FJ van Raan, 2024. "Simulating urban scaling with a term linkages network of a university," Environment and Planning B, , vol. 51(9), pages 2092-2107, November.
    20. 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).

    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.