Evidence map›Paper›PMID 27055893›Full record

ArticleEnvironmental science and pollution research international2016

Stability of ecological industry chain: an entropy model approach.

Qingsong Wang, Shishou Qiu, Xueliang Yuan, Jian Zuo, Dayong Cao, Jinglan Hong, Jian Zhang, Yong Dong, Ying Zheng

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Article in Environmental science and pollution research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Robustness of eco-industrial symbiosis network: a case study of China.Environmental science and pollution research international · 2018
    Article
  3. Article
  4. Pilot testing model to uncover industrial symbiosis in Brazilian industrial clusters.Environmental science and pollution research international · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Qingsong WangSchool of Energy and Power Engineering, Shandong University, 17923 Jingshi Road, Jinan, 250061, China.
Shishou QiuSchool of Energy and Power Engineering, Shandong University, 17923 Jingshi Road, Jinan, 250061, China.
Xueliang YuanSchool of Energy and Power Engineering, Shandong University, 17923 Jingshi Road, Jinan, 250061, China. yuanxl@sdu.edu.cn.
Jian ZuoSchool of Architecture & Built Environment; Entrepreneurship, Commercialisation and Innovation Centre (ECIC), The University of Adelaide, Adelaide, SA, 5005, Australia.
Dayong CaoShandong Academy of Environmental Science, 50 Lishan Road, Jinan, 250013, China.
Jinglan HongSchool of Environmental Science and Engineering, Shandong University, 27 Shanda Road, Jinan, 250100, China.
Jian ZhangSchool of Environmental Science and Engineering, Shandong University, 27 Shanda Road, Jinan, 250100, China.
Yong DongSchool of Energy and Power Engineering, Shandong University, 17923 Jingshi Road, Jinan, 250061, China.
Ying ZhengState Key Laboratory of Coal Combustion of HUST, 1037 Luoyu Road, Wuhan, 430074, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel methodology is proposed in this study to examine the stability of ecological industry chain network based on entropy theory. This methodology is developed according to the associated dissipative structure characteristics, i.e., complexity, openness, and nonlinear. As defined in the methodology, network organization is the object while the main focus is the identification of core enterprises and core industry chains. It is proposed that the chain network should be established around the core enterprise while supplementation to the core industry chain helps to improve system stability, which is verified quantitatively. Relational entropy model can be used to identify core enterprise and core eco-industry chain. It could determine the core of the network organization and core eco-industry chain through the link form and direction of node enterprises. Similarly, the conductive mechanism of different node enterprises can be examined quantitatively despite the absence of key data. Structural entropy model can be employed to solve the problem of order degree for network organization. Results showed that the stability of the entire system could be enhanced by the supplemented chain around the core enterprise in eco-industry chain network organization. As a result, the sustainability of the entire system could be further improved.

Indexed as

EcologyEntropyModels, TheoreticalIndustryEcological industry chainEntropy theoryStabilitySustainability

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.