A Neglected Aspect of the Progressive Movement: George W. Norris and Public Control of Hydro‐electric Power, 1913–1919

Lowitt, Richard

doi:10.1111/j.1540-6563.1965.tb00293.x

Cited by 2 publications

(1 citation statement)

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“…When the shortage or collapse of a company's products happens it will lead another company to face the risk of insufficient raw materials or bankruptcy. Lowitt (2010) found that economic instruments, information, financing, etc. were the factors affecting the stability of the industrial symbiosis of eco-industrial parks.…”

Section: Introductionmentioning

confidence: 99%

Small world and stability analysis of industrial coupling symbiosis network of ecological industrial park of oil and gas resource cities

Wang

Sun

et al. 2021

Energy Exploration & Exploitation

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This paper analyzes the small cosmopolitan and stability of the industrial coupling symbiotic network of eco-industrial parks of oil and gas resource-based cities. Taking Daqing A Ecological Industrial Park as an example, we constructed the characteristic index system and calculated the topological parameters such as the agglomeration coefficient and the average shortest path length of the industrial coupling symbiotic network. Based on the complex network theory we analyzed the characteristics of the scaled world, constructed the adjacency matrix of material and information transfers between enterprises, drew the network topology diagram. We simulated the system analysis and analyzed the stability of the industrial coupling symbiotic network of the eco-industrial park using the network efficiency and node load and maximum connected subgraph. The analysis results are as follows: the small world degree δ of Daqing A Eco-industrial Park is 0.891, which indicates that the industrial coupled symbiotic network has strong small world characteristics; the average path is 1.268, and the agglomeration coefficient is 0.631. The probability of edge connection between two nodes in a symbiotic network is 63.1%, which has a relatively high degree of aggregation, indicating that energy and material exchanges are frequent among all enterprises in the network, the degree of network aggregation is high, and the dependence between nodes is high; when the tolerance parameter is 0 to 0.3, the network efficiency and the maximum connected subgraphs show a sharp change trend, indicating that the topology of the industrial coupling symbiotic network of the eco-industrial park changes drastically when the network is subjected to deliberate attacks. It is easy to cause the breakage of material flow and energy flow in the industrial park, which leads to the decline of the stability of the industrial coupling symbiotic network of the eco-industrial park.

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Section: Introductionmentioning

confidence: 99%