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Study on the Spatiotemporal Evolution Characteristics and Influencing Factors on Green Building Development of City Clusters in the Yangtze River Delta Region in China

Author

Listed:
  • Wenxi Zhu

    (School of Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China)

  • Jing Zhang

    (School of Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China)

  • Jinfei Dai

    (Yiyang Transportation Planning Survey and Design Institute Co., Ltd., Yiyang 413000, China)

  • Da Wang

    (School of Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China)

  • Chongsen Ma

    (School of Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China)

  • Yufang Xu

    (School of Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China
    Hunan Commodity Quality Inspection Institute, Changsha 410114, China)

  • Yun Chen

    (School of Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China)

Abstract

This paper explores the spatiotemporal evolution characteristics and spatial correlation patterns of green building development differences in 41 cities in the Yangtze River Delta region from 2012 to 2020 by means of the gravity center analysis model and spatial autocorrelation analysis. In addition, it further clarifies the impact factors of the spatial differentiation pattern of green building development in combination with GeoDetector based on four dimensional factors of population and economy, market environment, policy, and other factors. The results showed that: (1) According to the analysis of the number of green buildings in each city from 2012 to 2020 and the natural discontinuity method, the development pattern of green buildings in the Yangtze River Delta region city clusters shows an imbalance, being highly concentrated in the eastern coastal areas with Suzhou (1) and Shanghai as the core. The overall trajectory of the center of gravity shows the development from southeast to northwest. (2) The global Moran’s I of green buildings in the Yangtze River Delta region city clusters is greater than 0, and all passed the significance test (Z > 1.96, p < 0.01), indicating that the green buildings in the Yangtze River Delta region city clusters show typical spatial aggregation characteristics. By using the local LISA index, it is found that in the H-H spatial autocorrelation distribution pattern with Suzhou (1) and Shanghai as the core, the core city has a strong attraction ability and relatively low radiation ability. (3) Based on the explanatory power mean, the main driving factors of the spatial differentiation pattern of green building development in the Yangtze River Delta region city clusters are education level (0.6656), technical level (0.6269), and the gross domestic product (0.6091). The factor interaction shows a two-factor enhancement and nonlinear enhancement effect, and there is neither a weakening nor an independent relationship.

Suggested Citation

  • Wenxi Zhu & Jing Zhang & Jinfei Dai & Da Wang & Chongsen Ma & Yufang Xu & Yun Chen, 2023. "Study on the Spatiotemporal Evolution Characteristics and Influencing Factors on Green Building Development of City Clusters in the Yangtze River Delta Region in China," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9457-:d:1169484
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    References listed on IDEAS

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    1. Ben Hoen & Marcelo Cajias & Ralf Hohenstatt, 2017. "Societal Influence on Diffusion of Green Buildings - A Count Regression Approach," Journal of Real Estate Research, American Real Estate Society, vol. 39(1), pages 1-38.
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    4. Kahn Matthew E & Vaughn Ryan K., 2009. "Green Market Geography: The Spatial Clustering of Hybrid Vehicles and LEED Registered Buildings," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(2), pages 1-24, March.
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