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

Wenxi Zhu (), Jing Zhang, Jinfei Dai, Da Wang, Chongsen Ma, Yufang Xu and Yun Chen
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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
Yun Chen: School of Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China

Sustainability, 2023, vol. 15, issue 12, 1-20

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.

Keywords: green building; spatiotemporal evolution; influence factors; GeoDetector (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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