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March 10, 2026Ain Shams Engineering Journal0 citationsOpen Access

Multilevel institutional analysis of BIM policy diffusion in China’s construction industry: a spatiotemporal perspective

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YYYingnan YangHXHongming Xie

Key Points

  • This study aims to investigate the uneven diffusion of Building Information Modeling (BIM) policies in China's construction industry across different regions over time.
  • Utilized multilevel institutional analysis and governance frameworks.
  • Employed mixed-methods, integrating institutional hierarchy analysis with Exploratory Spatial Data Analysis.
  • Conducted GeoDetector to identify driving factors and regional disparities in BIM diffusion.
  • Found significant spatial autocorrelation and clustering patterns in BIM adoption.
  • Identified 'high-high' clusters in eastern provinces and 'low-low' clusters in western regions.
  • Key driving factors included IT talent density, information infrastructure, and economic development.

Abstract

Building Information Modeling (BIM) is a key digital technology transforming the construction industry, particularly in rapidly digitizing economies like China. However, its policy diffusion remains spatially uneven due to fragmented governance, regional disparities, and decentralized implementation mechanisms. Drawing on institutional analysis and multi-level governance frameworks, this study investigates the spatiotemporal evolution of BIM institutional arrangements (BIM-IA) across China from 2011 to 2024. Employing a mixed-methods approach that integrates institutional hierarchy analysis with Exploratory Spatial Data Analysis and GeoDetector, we identify key regional disparities and driving factors influencing BIM-IA diffusion. Results reveal significant spatial autocorrelation and clustering patterns, with “high-high” clusters in eastern provinces and “low-low” clusters in western regions. Key determinants include IT talent density, information infrastructure, and regional economic development. A spatially adaptive policy framework is proposed to mitigate regional disparities and accelerate BIM adoption within China’s decentralized governance context, offering theoretical and practical insights for emerging economies undergoing digital transitions.

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Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/69af94c970916d39fea4ba7dhttps://doi.org/10.1016/j.asej.2026.103995
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