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Fluctuating Development Traits of Industrial Land Mismatch and Its Influence on Urban Ecological Modernization

Author

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  • Ke Liu

    (International Business School, Shaanxi Normal University, Xi’an 710719, China)

  • Ran Du

    (School of Economics, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Jiaxin He

    (International Business School, Shaanxi Normal University, Xi’an 710719, China)

Abstract

Drawing on the longitudinal dataset from 262 cities at the provincial tier and higher across China between 2011 and 2022, this research employs the production model to formulate the China Urban Industrial Land Mismatch Index, quantifying the extent of industrial land misalignment across China. It also analyzes its spatiotemporal evolution characteristics and regional differentiation characteristics, and explores the influence of China’s urban industrial land discordance on the advancement of urban ecological modernization. The key insights are outlined below. Firstly, across the entire spectrum of Chinese urban centers, cities from the eastern, central, and western zones, as well as those situated along the Yangtze River and the Yellow River basins, exhibit comparable patterns in industrial land misalignment. The extent of industrial land discordance has diminished, regional disparities have lessened to some degree, and there is an absence of polarization or the Matthew effect. Secondly, the variation in industrial land discordance within cities in the eastern region is the most pronounced, followed by the central region, with the western region showing the least disparity. The greatest contrast in the urban industrial land mismatch is found between the eastern and central regions. The primary driver of the discrepancy in industrial land misalignment across the eastern, central, and western regions is predominantly the ultra-variable density, followed by intra-regional disparities, with inter-regional differences contributing the least. Furthermore, the variation in the industrial land mismatch within cities in the Yangtze River Basin surpasses that within cities in the Yellow River Basin. The disparity in industrial land misalignment between the two follows a pattern of initially increasing, then decreasing, and subsequently rising again. The primary origin of this discrepancy lies within regional variations, followed by ultra-variable density, with inter-regional differences contributing the least. Thirdly, the regression analysis reveals that the discordance in industrial land use across Chinese cities exerts a substantial negative influence on urban ecological evolution. This effect operates through technological innovation and the employment levels in the secondary sector. Fourthly, industrial land discordance significantly hampers urban ecological advancement in the eastern region, shows a negative but statistically insignificant impact in the central region, and has a positive yet inconsequential effect in the western region. Moreover, the misalignment of industrial land exerts a notable suppressive influence on the ecological modernization of cities within the Yangtze River Basin, while it plays a significant role in fostering the ecological modernization of cities in the Yellow River Basin. Fifth, the mismatch of urban industrial land has produced significant negative spatial spillover effects on urban ecological modernization.

Suggested Citation

  • Ke Liu & Ran Du & Jiaxin He, 2025. "Fluctuating Development Traits of Industrial Land Mismatch and Its Influence on Urban Ecological Modernization," Land, MDPI, vol. 14(5), pages 1-35, May.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:5:p:1035-:d:1652179
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    References listed on IDEAS

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    1. Zhaoyingzi Dong & Yingcheng Li & Pierre-Alexandre Balland & Siqi Zheng, 2022. "Industrial land policy and economic complexity of Chinese Cities," Industry and Innovation, Taylor & Francis Journals, vol. 29(3), pages 367-395, March.
    2. Britos, Braulio & Hernandez, Manuel A. & Robles, Miguel & Trupkin, Danilo R., 2022. "Land market distortions and aggregate agricultural productivity: Evidence from Guatemala," Journal of Development Economics, Elsevier, vol. 155(C).
    3. 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).
    4. Feng Han & Min Huang, 2022. "Land Misallocation and Carbon Emissions: Evidence from China," Land, MDPI, vol. 11(8), pages 1-30, July.
    5. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    6. Song, Xiaoling & Yao, Yumeng & Wu, Xueke, 2023. "Digital finance, technological innovation, and carbon dioxide emissions," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 482-494.
    7. Xiaobo Zhang & Timothy Mount & Richard Boisvert, 2004. "Industrialization, urbanization and land use in China," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 2(3), pages 207-224.
    8. Zeng, Juying & Blanco-González-Tejero, Cristina & Sendra, F. Javier, 2023. "The spatial difference-in-difference measurement of policy effect of environmental protection interview on green innovation," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    9. Artioli, Francesca, 2021. "Sale of public land as a financing instrument. The unspoken political choices and distributional effects of land-based solutions," Land Use Policy, Elsevier, vol. 104(C).
    10. Arvin, Mak B. & Pradhan, Rudra P. & Norman, Neville R., 2015. "Transportation intensity, urbanization, economic growth, and CO2 emissions in the G-20 countries," Utilities Policy, Elsevier, vol. 35(C), pages 50-66.
    11. Jiang Xu & Anthony Yeh & Fulong Wu, 2009. "Land Commodification: New Land Development and Politics in China since the Late 1990s," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 33(4), pages 890-913, December.
    12. Valtonen, Eero & Falkenbach, Heidi & Viitanen, Kauko, 2018. "Securing public objectives in large-scale urban development: Comparison of public and private land development," Land Use Policy, Elsevier, vol. 78(C), pages 481-492.
    13. Song, Yan & Zenou, Yves, 2012. "Urban villages and housing values in China," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 495-505.
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