TY - JOUR
T1 - Diffusion mechanism of green building in industrial clusters
T2 - An agent-based modeling approach
AU - Pan, Mi
AU - Zhao, Xiaojing
AU - Li, Zhaotong
N1 - Publisher Copyright:
© 2024
PY - 2024/10
Y1 - 2024/10
N2 - Industrial clusters are conducive to accelerating the adoption of green technologies and green buildings, but the underlying mechanism of cluster-based adoption among different stakeholders is seldom examined. The paper aims to explore the diffusion mechanism of green building among stakeholders in industrial clusters based on an agent-based modeling (ABM) approach. Factors influencing stakeholders’ adoption of green buildings were identified in five dimensions: economic benefit, green responsibility, peer effect, market demand, and technological maturity. An ABM model was developed for simulating green building diffusion among stakeholders, and validated with a Shenzhen case. The results indicate an S-shape trend of the adoption rate within the cluster. Developers show a relatively laggard adoption compared to others. Mandatory policy and financial subsidies could effectively boost the adoption rate, while technological progress and market demand accelerate the diffusion progress. The study provides useful insights into the practice and policy-making of green buildings within industrial clusters.
AB - Industrial clusters are conducive to accelerating the adoption of green technologies and green buildings, but the underlying mechanism of cluster-based adoption among different stakeholders is seldom examined. The paper aims to explore the diffusion mechanism of green building among stakeholders in industrial clusters based on an agent-based modeling (ABM) approach. Factors influencing stakeholders’ adoption of green buildings were identified in five dimensions: economic benefit, green responsibility, peer effect, market demand, and technological maturity. An ABM model was developed for simulating green building diffusion among stakeholders, and validated with a Shenzhen case. The results indicate an S-shape trend of the adoption rate within the cluster. Developers show a relatively laggard adoption compared to others. Mandatory policy and financial subsidies could effectively boost the adoption rate, while technological progress and market demand accelerate the diffusion progress. The study provides useful insights into the practice and policy-making of green buildings within industrial clusters.
KW - Agent-based modeling (ABM)
KW - Green building diffusion
KW - Industrial cluster
KW - Influencing factor
KW - Stakeholder
UR - http://www.scopus.com/inward/record.url?scp=85198365622&partnerID=8YFLogxK
U2 - 10.1016/j.dibe.2024.100504
DO - 10.1016/j.dibe.2024.100504
M3 - Article
AN - SCOPUS:85198365622
SN - 2666-1659
VL - 19
JO - Developments in the Built Environment
JF - Developments in the Built Environment
M1 - 100504
ER -