工业共生体系
工业园区
持续性
资源(消歧)
可持续发展
环境资源管理
稳健性
工业生态学
业务
环境规划
环境科学
工程类
计算机科学
生态学
地理
废物管理
计算机网络
考古
生物
程序设计语言
作者
Xiaofei Xie,BinQing Wei,Shanying Hu,Ding jiang Chen
标识
DOI:10.1016/j.jclepro.2023.139235
摘要
Implementing industrial symbiosis has emerged as a pivotal strategy for establishing eco-industrial parks worldwide to promote sustainable development and optimize resource utilization within industrial parks. However, the present evaluation framework for industrial symbiosis is nascent, which may hinder the ecological development of industrial parks. Therefore, to gauge industrial symbiosis efficacy and infrastructure soundness, we propose a revolutionary evaluation system that amalgamates social network analysis and ecological network analysis methodologies. Our evaluation system is meticulously customized to cater to the distinctive features and analytical requirements of eco-industrial parks and encompasses three primary facets: impact dissemination, sustainability, and resource optimization. To demonstrate the effectiveness of the proposed evaluation system, we conducted a case study of Qinghai Salt Lake industrial park. The findings reveal that the industrial symbiosis level in Qinghai Salt Lake industrial park (QSLIP) improved during 2014–2018. Nevertheless, conventional indicators are unable to pinpoint certain issues, such as deterioration in waste reutilization quality, underscoring the significance and necessity of the indicator system proposed in this study.
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