The implementation of green building construction practices (GBCP) in India faces significant barriers across financial, regulatory, technological, and market domains. This study evaluates 16 critical barriers to GBP adoption in Gujarat based on a survey of 84 construction industry experts using a five-point Likert scale, quantified through the Relative Importance Index (RII). The analysis reveals that the most critical barriers include Lack of Skilled GB Labour (C2, RII = 4.02), Insufficient Technological Innovation (C3, RII = 4.00), and high costs of green technology and materials (C4, RII = 3.96). Financial challenges, such as higher capital investment (A1, RII = 3.31) and difficulty in gathering financial capital (A2, RII = 2.65), are less critical barriers. Network analysis, using the Girvan-Newman algorithm, identifies B4, A1, C1, and C2 as central barriers with high Degree and Degree Centrality scores, where B4 (lack of clarity in implementing green building codes) is the most critical, with a Betweenness Centrality score of 0.06, acting as a key mediator. The interconnected nature of these barriers suggests that addressing central issues could significantly reduce broader resistance to green building adoption. The findings advocate for a coordinated and system-oriented approach to promote sustainable construction practices throughout India.

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Investigating Barriers to Green Building Adoption in Gujarat, India: A Correlation-Graph Analysis Approach

  • Rahul Unjia,
  • Shobhit Chaturvedi,
  • Naimish Bhatt

摘要

The implementation of green building construction practices (GBCP) in India faces significant barriers across financial, regulatory, technological, and market domains. This study evaluates 16 critical barriers to GBP adoption in Gujarat based on a survey of 84 construction industry experts using a five-point Likert scale, quantified through the Relative Importance Index (RII). The analysis reveals that the most critical barriers include Lack of Skilled GB Labour (C2, RII = 4.02), Insufficient Technological Innovation (C3, RII = 4.00), and high costs of green technology and materials (C4, RII = 3.96). Financial challenges, such as higher capital investment (A1, RII = 3.31) and difficulty in gathering financial capital (A2, RII = 2.65), are less critical barriers. Network analysis, using the Girvan-Newman algorithm, identifies B4, A1, C1, and C2 as central barriers with high Degree and Degree Centrality scores, where B4 (lack of clarity in implementing green building codes) is the most critical, with a Betweenness Centrality score of 0.06, acting as a key mediator. The interconnected nature of these barriers suggests that addressing central issues could significantly reduce broader resistance to green building adoption. The findings advocate for a coordinated and system-oriented approach to promote sustainable construction practices throughout India.