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Spatio-Temporal Evolution Characteristics and Influencing Factors of Urban Service-Industry Land in China

Author

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  • Sidong Zhao

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Kaixu Zhao

    (College of Urban and Environmental Science, Northwest University, Xi’an 710127, China)

  • Yiran Yan

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Kai Zhu

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China)

  • Chiming Guan

    (School of Economics & Management, Southeast University, Nanjing 210096, China)

Abstract

The level of service-industry development has become an important symbol of the competitiveness and influence of cities. The study of the dynamic evolution characteristics and patterns of urban service-industry land use, the driving factors and their interactions is helpful to provide a basis for decision making in policy design and land use planning for the development of service economies. In this study we have conducted an empirical study of China, based on the methods of spatial cold- and hot-spot analysis, Tapio’s decoupling model, and GeoDetector. We found that: (1) the scales of land use, output efficiencies and development intensities of service-industries are increasing with a trend that takes the form of a “J”, “U” and “inverted U”, respectively; (2) Spatial variabilities and agglomerations are significant, with a stable spatial pattern of the scale of service-industry land use, and a gradient in the distribution of cold- and hot-spots. The dominant spatial units of output efficiency and development intensity have changed from low and lower to high and higher, and the cold- and hot-spots gather in clusters; (3) The development of service-industries is highly dependent on the input of land-resources, and only a few provinces are in a state of strong decoupling, while most are in a state of weak decoupling, with quite a few still in a state of expansive coupling, expansive negative decoupling, or even strong negative decoupling; (4) There are many driving factors for land use changes in the service-industry, with increasingly complicated and diversified relationships between each other, ranked in intensity as the scale effect > informatization > globalization > industrialization > urbanization.

Suggested Citation

  • Sidong Zhao & Kaixu Zhao & Yiran Yan & Kai Zhu & Chiming Guan, 2021. "Spatio-Temporal Evolution Characteristics and Influencing Factors of Urban Service-Industry Land in China," Land, MDPI, vol. 11(1), pages 1-32, December.
    • Handle: RePEc:gam:jlands:v:11:y:2021:i:1:p:13-:d:708246
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    References listed on IDEAS

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    1. Barry Eichengreen & Poonam Gupta, 2013. "The two waves of service-sector growth," Oxford Economic Papers, Oxford University Press, vol. 65(1), pages 96-123, January.
    2. Lee, Jong-Wha & McKibbin, Warwick J., 2018. "Service sector productivity and economic growth in Asia," Economic Modelling, Elsevier, vol. 74(C), pages 247-263.
    3. Alex Hugh David, 2014. "A service sector classification scheme using economic data," The Service Industries Journal, Taylor & Francis Journals, vol. 34(4), pages 335-353, February.
    4. Jungsuk Kim & Jacob Wood, 2020. "Service sector development in Asia: an important instrument of growth," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 34(1), pages 12-25, May.
    5. Liao, Junmin, 2020. "The rise of the service sector in China," China Economic Review, Elsevier, vol. 59(C).
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    Cited by:

    1. Liguo Zhang & Luchen Huang & Jinglin Xia & Kaifeng Duan, 2022. "Spatial-Temporal Evolution and Its Influencing Factors on Urban Land Use Efficiency in China’s Yangtze River Economic Belt," Land, MDPI, vol. 12(1), pages 1-19, December.

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