IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i3p1582-d738051.html
   My bibliography  Save this article

Heterogeneous Effects of Urban Sprawl on Economic Development: Empirical Evidence from China

Author

Listed:
  • Mingdou Zhang

    (School of Economics, Dongbei University of Finance and Economics, Dalian 116025, China)

  • Yue Li

    (School of Economic and Social Development, Dongbei University of Finance and Economics, Dalian 116025, China)

  • Rui Guo

    (School of Economics, Dongbei University of Finance and Economics, Dalian 116025, China)

  • Yurui Yan

    (School of Economic and Social Development, Dongbei University of Finance and Economics, Dalian 116025, China)

Abstract

Identifying the effects of urban sprawl on urban development is of strategic importance. This study takes 285 prefecture-level and above cities in China as research samples and empirically analyzes the heterogeneous impact of urban sprawl on economic development from 2009 to 2018. Results indicate the threshold effect of urban sprawl on economic development. That is, moderate urban sprawl has a significantly positive influence on economic development, whereas excessive urban sprawl has a significantly negative impact on economic development. The empirical analysis also identifies heterogeneities in the effects of urban sprawl on economic development. Compared with the sprawls of small- and medium-sized cities, those of large cities have a greater negative impact on economic development. Compared with the sprawls of cities dominated by the tertiary industry, those of cities dominated by the secondary industry have a greater negative impact on economic development. Findings of this study have important policy implications for scientific urban expansion, reasonable urban spatial layout, and sustainable urban economic development.

Suggested Citation

  • Mingdou Zhang & Yue Li & Rui Guo & Yurui Yan, 2022. "Heterogeneous Effects of Urban Sprawl on Economic Development: Empirical Evidence from China," Sustainability, MDPI, vol. 14(3), pages 1-15, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1582-:d:738051
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/3/1582/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/3/1582/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Belal N. Fallah & Mark D. Partridge & M. Rose Olfert, 2011. "Urban sprawl and productivity: Evidence from US metropolitan areas," Papers in Regional Science, Wiley Blackwell, vol. 90(3), pages 451-472, August.
    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. Zhaolan Wang & Li Wang & Biao Zhao & Qian Pei, 2023. "Analysis of Spatiotemporal Interaction Characteristics and Decoupling Effects of Urban Expansion in the Central Plains Urban Agglomeration," Land, MDPI, vol. 12(4), pages 1-21, March.
    2. Qiangyi Li & Lan Yang & Shuang Huang & Yangqing Liu & Chenyang Guo, 2023. "The Effects of Urban Sprawl on Electricity Consumption: Empirical Evidence from 283 Prefecture-Level Cities in China," Land, MDPI, vol. 12(8), pages 1-27, August.
    3. Yunchang Li & Xia Cao & Can Cui, 2023. "System Dynamics Theory Applied to Differentiated Levels of City–Industry Integration in China," Sustainability, MDPI, vol. 15(5), pages 1-17, February.

    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. Xu Yang & Xuan Zou & Xueqi Liu & Qixuan Li & Siqian Zou & Ming Li, 2023. "The Spatiotemporal Pattern and Driving Mechanism of Urban Sprawl in China’s Counties," Land, MDPI, vol. 12(3), pages 1-16, March.
    2. Fan, Fei & Dai, Shangze & Yang, Bo & Ke, Haiqian, 2023. "Urban density, directed technological change, and carbon intensity: An empirical study based on Chinese cities," Technology in Society, Elsevier, vol. 72(C).
    3. Zhonghua Cheng & Xiaowen Hu, 2023. "The effects of urbanization and urban sprawl on CO2 emissions in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1792-1808, February.
    4. Yan Yan & Hui Liu & Ningcheng Wang & Shenjun Yao, 2021. "How Does Low-Density Urbanization Reduce the Financial Sustainability of Chinese Cities? A Debt Perspective," Land, MDPI, vol. 10(9), pages 1-18, September.
    5. Paolo Veneri, 2018. "Urban spatial structure in OECD cities: Is urban population decentralising or clustering?," Papers in Regional Science, Wiley Blackwell, vol. 97(4), pages 1355-1374, November.
    6. Xin Zhang & Jinghu Pan, 2021. "Spatiotemporal Pattern and Driving Factors of Urban Sprawl in China," Land, MDPI, vol. 10(11), pages 1-16, November.
    7. Paavo Monkkonen & Jorge Montejano & Erick Guerra & Camilo Caudillo, 2020. "Compact cities and economic productivity in Mexico," Urban Studies, Urban Studies Journal Limited, vol. 57(10), pages 2080-2097, August.
    8. Pratama, Andhika Putra & Yudhistira, Muhammad Halley & Koomen, Eric, 2022. "Highway expansion and urban sprawl in the Jakarta Metropolitan Area," Land Use Policy, Elsevier, vol. 112(C).
    9. 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).
    10. Huan Zhang, 2021. "The Impact of Urban Sprawl on Environmental Pollution: Empirical Analysis from Large and Medium-Sized Cities of China," IJERPH, MDPI, vol. 18(16), pages 1-19, August.
    11. Fei Liu & Genyu Zhang & Chenghao Li & Tao Ren & Donato Masi, 2023. "Analysis of the Temporal and Spatial Pattern and Convergence Characteristics of High-Quality Sustainable Economic Development of Urban Agglomeration," Sustainability, MDPI, vol. 15(20), pages 1-24, October.
    12. Juan C Duque & Nancy Lozano-Gracia & Jorge E Patino & Paula Restrepo, 2022. "Urban form and productivity: What shapes are Latin-American cities?," Environment and Planning B, , vol. 49(1), pages 131-150, January.
    13. Qian Zhang & Huaxing Zhang & Dan Zhao & Baodong Cheng & Chang Yu & Yanli Yang, 2019. "Does Urban Sprawl Inhibit Urban Eco-Efficiency? Empirical Studies of Super-Efficiency and Threshold Regression Models," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    14. Daniel Hummel, 2020. "The effects of population and housing density in urban areas on income in the United States," Local Economy, London South Bank University, vol. 35(1), pages 27-47, February.
    15. Paolo VENERI & David BURGALASSI, 2011. "Spatial Structure and Productivity in Italian NUTS-3 Regions," Working Papers 364, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    16. Zhuqing Yang & Yuanyuan Zhu & Yulin Zhang, 2022. "Does urban shrinkage lower labor productivity? The role of spatial expansion," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S2), pages 106-117, November.
    17. Yan, Bin & Wang, Feng & Dong, Mingru & Ren, Jing & Liu, Juan & Shan, Jing, 2022. "How do financial spatial structure and economic agglomeration affect carbon emission intensity? Theory extension and evidence from China," Economic Modelling, Elsevier, vol. 108(C).
    18. Yuneng Jiang & Yi Zhu & Yasi Tian, 2023. "Measuring the Urban Sprawl of a Mega-Urban Agglomeration Area Based on Multi-Dimensions with a Mechanical Equilibrium Model: A Case Study of the Yangtze River Delta, China," Land, MDPI, vol. 12(8), pages 1-22, August.
    19. Partridge, Mark D. & Rickman, Dan S., 2012. "Integrating regional economic development analysis and land use economics," MPRA Paper 38291, University Library of Munich, Germany.
    20. Roberto Gallardo & Brian Whitacre & Indraneel Kumar & Sreedhar Upendram, 2021. "Broadband metrics and job productivity: a look at county-level data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(1), pages 161-184, February.

    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:jsusta:v:14:y:2022:i:3:p:1582-:d:738051. 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.