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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaotao Li |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Economics & Management, Wuhan Polytechnic University, China (Xiaotao Li) |
| Abstract | Agricultural industrial clusters exhibit the characteristics of complex system, and the features of its evolution reveal those of complex system evolution. Therefore, the complex system evolution model for agricultural industrial clusters with geographical attachment preference related to geographic locations may lender a comparatively sound interpretation of the internal mechanism of the evolution. The paper studies the evolution of agricultural industrial cluster on the basis of the small world network model, and points out that due attention should be paid to the roles of government, non-market factors and non-technology factors in the evolution of the cluster. |
| Starting Page | 353 |
| Ending Page | 356 |
| File Size | 291435 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424476534 |
| e-ISBN | 9781424476565 |
| DOI | 10.1109/ICINDMA.2010.5538298 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-30 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | industrial cluster Mechatronics Automation Industrial economics Local government Conference management agricultural products Electronic mail evolution Position measurement Agriculture Iterative algorithms small world network |
| Content Type | Text |
| Resource Type | Article |
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