2021
DOI: 10.1016/j.jclepro.2020.125593
|View full text |Cite
|
Sign up to set email alerts
|

An indicator-based method supporting assessment and decision-making of potential by-product exchanges in industrial symbiosis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
5
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 11 publications
(5 citation statements)
references
References 24 publications
0
5
0
Order By: Relevance
“…Various indicators have been proposed in the literature for measuring circular economies at three levels: macro (global, national, regional, city), meso (industrial symbiosis, eco-industrial parks), and micro (single firm, product) [19][20][21]. This study focuses on meso-level indicators that "focus on the industry, consumption activity or particular material level helping to detect waste of materials, pollution sources and opportunities for efficiency gains in specific sectors or consumption domains" [22].…”
Section: Literature Overviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Various indicators have been proposed in the literature for measuring circular economies at three levels: macro (global, national, regional, city), meso (industrial symbiosis, eco-industrial parks), and micro (single firm, product) [19][20][21]. This study focuses on meso-level indicators that "focus on the industry, consumption activity or particular material level helping to detect waste of materials, pollution sources and opportunities for efficiency gains in specific sectors or consumption domains" [22].…”
Section: Literature Overviewmentioning
confidence: 99%
“…Felicio et al [18] developed an Industrial Symbiosis Indicator (ISI) for monitoring the evolution of IS networking within an eco-industrial park, intending to provide a decision-making tool for IS stakeholders. The combination of qualitative and quantitative indicators to evaluate the technical feasibility, economic viability, and environmental benefits of potential resource exchanges are proposed by Kosmol et al [20]. The key performance quantitative indicator system set up by Lutjie and Wolgemuth [30] consists of four subsystems including economic, environmental, and social indicators, and a general indicator system considering IS structure, activity, knowledge transfer, resilience, and adaptability issues.…”
Section: Literature Overviewmentioning
confidence: 99%
“…In the absence of methods for experimenting with plant's decisions, there are many frameworks and quantitative methods employed for the study of the decision-making process in areas like Psychology, Medicine, Business Administration, Engineering, Design, Education, Logistics, Public Transport, and Computing. 3,[96][97][98][99][100][101][102][103][104][105] These tools are not commonly adopted in Plant Science because it is not usual considering that plants make decisions. Just like other branches of science adopted quantitative methods to cope with the high complexity of decisions, many aspects of Plant Science could also enrich their possibilities exploring the ability of plants to make smart decisions and taking advantage of its integration power and the mature tools that can be borrowed from other disciplines.…”
Section: Methods For Experimenting With Plant's Decisionsmentioning
confidence: 99%
“…Other benefits resulted from decreasing demands for raw materials and decreased waste release. IS supports regional development by developing new innovative productions utilizing unused material/energy streams [ 18 , 19 , 20 ]. These economic, ecological, and social profits of symbiotic synergies resulted from a decrease in raw material consumption and waste landfilling costs, the generation of revenue from waste, and the minimization of CO 2 emissions [ 3 ].…”
Section: Introductionmentioning
confidence: 99%