Primary Exploration of Rationality of Industry Distribution and Evaluation Model about Sustainable Development Suitability
- DOI
- 10.2991/cmsa-18.2018.10How to use a DOI?
- Keywords
- rationality; industry distribution; sustainable development suitability; evaluation model
- Abstract
To tackle the problem of scientific evaluation of local industry development and distribution, we focused on two sub problems, where one was the spatial distribution rationality evaluation of multi-scale industrial clusters, and the other was the sustainable development suitability evaluation of industrial clusters. To solve the first subproblem, based on the “Industrial Cluster Theory” and the original “Industrial Cluster Impact”, we adopted spatial analysis model and the methods of data mining to explore the aggregation degree, related influence factors and the interaction impact (between the various influence factors) of industrial clusters. To solve the second subproblem, we combined “Michael Porter Diamond Model”, and then studied the principles for the choice of indicators like integrity, technicality and sustainability, forming a set of selection method of evaluation index based on “Industrial Cluster Theory”. At last, to evaluate the rationality of industry distribution and sustainable development suitability faster, and get an industrial evaluation model of universality, and lay foundations for the follow-up study, we established a set of industrial clusters’ index system of sustainable development suitability.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Chengzeng You AU - Ling Peng AU - Tong Wu AU - Yuan Hu PY - 2018/04 DA - 2018/04 TI - Primary Exploration of Rationality of Industry Distribution and Evaluation Model about Sustainable Development Suitability BT - Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018) PB - Atlantis Press SP - 38 EP - 41 SN - 1951-6851 UR - https://doi.org/10.2991/cmsa-18.2018.10 DO - 10.2991/cmsa-18.2018.10 ID - You2018/04 ER -