Hua Chunxiang, Chen Linyan, Liu Chenyu, Yang Chenxi
China National Institute of Standardization, Beijing, China.
Department of Building and Real Estate, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China.
Waste Manag Res. 2025 Jan;43(1):50-61. doi: 10.1177/0734242X241231400. Epub 2024 Feb 22.
Construction and demolition (C&D) waste recycling plays a significant role in waste reduction and carbon reduction, which is critical for sustainable development. However, due to various limitations such as financial problems, C&D waste recycling industry is not well developed in developing countries. To address this problem, this study combines complex network theory and evolutionary game theory to analyse the diffusion of C&D waste recycling behaviour among enterprises under governmental incentive policies within a complex network context. The results demonstrate that the size of the network has limited effects on behaviour diffusion in Watts-Strogatz small-world network. Additionally, the study highlights the clear impact of governmental incentive probability, initial rate and connection degree on the diffusion path. By quantitatively investigating the effects of incentive tools, this study contributes to the knowledge of C&D waste management and provides valuable implications for stakeholders seeking to promote the diffusion of C&D waste recycling.
建筑与拆除（C&D）废物回收在减少废物和降低碳排放方面发挥着重要作用，这对可持续发展至关重要。然而，由于诸如资金问题等各种限制，发展中国家的C&D废物回收行业发展并不完善。为了解决这一问题，本研究结合复杂网络理论和演化博弈理论，在复杂网络背景下分析政府激励政策下企业间C&D废物回收行为的扩散情况。结果表明，在瓦茨-斯托加茨小世界网络中，网络规模对行为扩散的影响有限。此外，该研究突出了政府激励概率、初始速率和连接度对扩散路径的明显影响。通过定量研究激励工具的效果，本研究有助于丰富C&D废物管理知识，并为寻求促进C&D废物回收扩散的利益相关者提供有价值的启示。
