Literature DB >> 27055893

Stability of ecological industry chain: an entropy model approach.

Qingsong Wang1, Shishou Qiu1, Xueliang Yuan2, Jian Zuo3, Dayong Cao4, Jinglan Hong5, Jian Zhang5, Yong Dong1, Ying Zheng6.   

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.

Entities:  

Keywords:  Ecological industry chain; Entropy theory; Stability; Sustainability

Mesh:

Year:  2016        PMID: 27055893     DOI: 10.1007/s11356-016-6579-3

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  3 in total

1.  Emergy-based comparative analysis of energy intensity in different industrial systems.

Authors:  Zhe Liu; Yong Geng; Hui Wang; Lu Sun; Zhixiao Ma; Xu Tian; Xiaoman Yu
Journal:  Environ Sci Pollut Res Int       Date:  2015-07-17       Impact factor: 4.223

2.  Temporal and spatial variations in the relationship between urbanization and water quality.

Authors:  Lijun Ren; Erqian Cui; Haoyu Sun
Journal:  Environ Sci Pollut Res Int       Date:  2014-07-01       Impact factor: 4.223

3.  Dynamic water quality modelling and uncertainty analysis of phytoplankton and nutrient cycles for the upper South Saskatchewan River.

Authors:  Eric Akomeah; Kwok Pan Chun; Karl-Erich Lindenschmidt
Journal:  Environ Sci Pollut Res Int       Date:  2015-07-23       Impact factor: 4.223

  3 in total
  3 in total

1.  Pilot testing model to uncover industrial symbiosis in Brazilian industrial clusters.

Authors:  Adriana Valélia Saraceni; Luis Mauricio Resende; Pedro Paulo de Andrade Júnior; Joseane Pontes
Journal:  Environ Sci Pollut Res Int       Date:  2017-03-21       Impact factor: 4.223

2.  Investigating vulnerability of ecological industrial symbiosis network based on automatic control theory.

Authors:  Qingsong Wang; Hongrui Tang; Xueliang Yuan; Jian Zuo; Jian Zhang; Zhenlei Gao; Jinglan Hong
Journal:  Environ Sci Pollut Res Int       Date:  2018-07-21       Impact factor: 4.223

3.  Robustness of eco-industrial symbiosis network: a case study of China.

Authors:  Qingsong Wang; Hongrui Tang; Shishou Qiu; Xueliang Yuan; Jian Zuo
Journal:  Environ Sci Pollut Res Int       Date:  2018-07-20       Impact factor: 4.223

  3 in total

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