4.7 Article

Integrated network analysis on industrial symbiosis: Case study of Qinghai salt lake industrial park

期刊

JOURNAL OF CLEANER PRODUCTION
卷 429, 期 -, 页码 -

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ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2023.139235

关键词

Ecological network analysis; Social network analysis; Ecological industrial park; Industrial symbiosis; Sustainability; Saline lake industry

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Implementing industrial symbiosis is a crucial strategy for promoting sustainable development and optimizing resource utilization within eco-industrial parks. However, the current evaluation framework for industrial symbiosis is underdeveloped, which calls for a new evaluation system that integrates social network analysis and ecological network analysis, catering to the unique features and requirements of eco-industrial parks.
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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