生态工业园共生网络的脆弱性  被引量:14

Vulnerability analysis of symbiotic network in Eco-industrial parks

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作  者:李湘梅[1] 肖人彬[2] 曾宇[2] 姚智爽 

机构地区:[1]湖北经济学院,武汉430205 [2]华中科技大学系统工程研究所,武汉430074 [3]华中科技大学文华学院,武汉430074

出  处:《生态学报》2014年第16期4746-4755,共10页Acta Ecologica Sinica

基  金:国家自然科学基金资助项目(71171089);湖北省自然科学基金资助项目(2012FFB02702)

摘  要:工业生态系统的稳定可持续运行是生态工业园区实现环境效益、经济效益和社会效益的重要保障,对生态工业共生网络脆弱性分析是工业生态学领域值得探讨的重要问题。运用复杂网络理论,从网络拓扑结构出发,论证该工业园具有小世界性和无标度性,为网络脆弱性分析奠定基础;通过攻击负载最大节点,利用网络效率和最大连通子图对网络的脆弱性进行分析,从而衡量节点失效对整个网络造成的破坏性。指出复杂网络在生态工业园共生网络中进一步研究的方向。The idea of eco-industrial parks (EIPs) is a new industrial organization form that reconciles the three dimensions of sustainability: society, economy and environment. EIPs represent a practical way to apply the concept of industrial symbiosis (IS). Industrial Symbiosis Network (ISN) is a complex system consisting of a variety of enterprises and embedded relations. The keys of ISN are collaboration and synergistic possibilities offered by geographic proximity. Since the 1970s, the EIPs practice is conducted in many countries, i.e., Denmark, USA, Australia, Japan, and China and so on. However, many factors such as technological innovation, combination, takeovers and so on have a great negative influence on the practice of EIPs. Therefore, it is very important to make scientific analysis of the vulnerability of EIPs, thus providing effective measures to develop ISN. This paper employs the complex network theory to analyze the statistical properties of symbiotic network in EIPs. The nodes in EIPs represent the enterprises, and the edges between the nodes denote the symbiosis relationships. So the complex network theory is supposed to be effective in describing the real ecological industrial system. The complex characteristics of industrial symbiosis network are analyzed from three aspects: ( 1 ) The enterprises in EIPs form industrial ecological chains networks involving horizontal and vertical coupling; (2) The diversity of the enterprises made the node complexity ; (3) The ISN is affected by a wide variety of factors. After describing the case of certain coal chemical eco-industrial park ( abbreviated as CCEIP hereafter) , we establish the topology of the EIP by employing the NetDraw tool of Ucinet ( version 6.0) software. The statistical characteristics of the network in CCEIP are then examined. An index system including degree, degree distribution, clustering coefficient, average shortest distance length is developed to measure the topological properties. Results show that CCE

关 键 词:工业园 共生网络 脆弱性 拓扑性质 

分 类 号:F403.3[经济管理—产业经济]

 

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