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Research of Eco-Industrial Park Competitiveness Evaluation Based on Cloud Model

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Industrial park plays a fundamental role in economic development. With the gradual deepening of economic transition and industry upgrade, eco-industrial Park is attracting more and more attention of the government. It is important to evaluate the construction and development of eco-industrial parks and find out the weaknesses and shortcomings. However, current evaluation methods often cannot indicate both fuzziness and randomness of the evaluation object simultaneously. Besides, the construction and operation of eco-industrial parks involves different subjects such as the government, nearby residents and employees of enterprises in the park, etc. Different parties may hold different opinions on the evaluation of the park. Past researches did not sufficiently consider these disputes. Cloud model theory can resolve these problems effectively. Based on the Reduce, Reuse and Recycle (“3R” in short) view, this research constructed an evaluation model using cloud model theory. After that, Taishan Industrial Park, which is in Taian, Shandong Province was evaluated by this model. Several suggestions for the park development were also proposed. The evaluation result indicates that the development level of Taishan Industrial Park is “generally good.” Related units attach great importance on the reduce of resource consumption and recycle. Nevertheless, the relatively high entropy and hyper-entropy values also indicate the disputes among different parties, and their interests are not comprehensively considered. Some aspects can be further improved.

Keywords: Cloud Model; Competitiveness Evaluation; Eco-Industrial Park; “3R” Discipline

Document Type: Research Article

Affiliations: 1: Shan Dong University of Science and Technology, Daizong Avenue, Taian City, Shandong, 271019, China 2: TaiShan College, Yingbin Avenue, Taian City, Shandong Province, 271019, China

Publication date: 01 December 2016

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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