Title :
Evolution characteristics of agricultural industrial clusters: A perspective from the small world network model
Author_Institution :
Sch. of Econ. & Manage., Wuhan Polytech. Univ., Wuhan, China
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.
Keywords :
Agriculture; Automation; Conference management; Electronic mail; Industrial economics; Iterative algorithms; Local government; Mechatronics; Position measurement; agricultural products; evolution; industrial cluster; small world network;
Conference_Titel :
Industrial Mechatronics and Automation (ICIMA), 2010 2nd International Conference on
Conference_Location :
Wuhan, China
Print_ISBN :
978-1-4244-7653-4
DOI :
10.1109/ICINDMA.2010.5538298