Recognizing the key part in the function upgrade of an industrial cluster based on grey analysis of DEA inputs

Author

Wenping, WANG ; Lulu, Wei ; Haiyan, Shan

Author_Institution

Sch. of Econ. & Manage., Southeast Univ., Nan Jing

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

2872

Lastpage

2875

Abstract

Industrial cluster is one of the most important organization forms to induce regional competitive advantages. The industrial clusters in China at present are mostly locating at the low part in the global industrial chain. In this way, studies on the industrial upgrading, the upgrading routine and the choice of upgrading part are of important theoretic and practical senses. In this paper, grey analysis of DEA inputs is used to recognize the key part in the function upgrade of an industrial cluster, and then the electronic manufacturing in NanJing is taken as an example to explain how to use grey analysis of DEA inputs to find out the key part in the function upgrading. It is demonstrated that grey analysis of DEA inputs could efficiently recognize the key part in the function upgrading of an industrial cluster.

Keywords

data envelopment analysis; grey systems; industrial economics; DEA inputs; data envelopment analysis; electronic manufacturing; grey analysis; industrial cluster; Companies; Data envelopment analysis; Electronics industry; Industrial economics; Industrial electronics; Manufacturing industries; Manufacturing processes; Monopoly; Operating systems; Pulp manufacturing; DEA; Function Upgrading of an Industry; Global Industrial Chain; Grey Degree;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on

Conference_Location

Singapore

ISSN

1062-922X

Print_ISBN

978-1-4244-2383-5

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2008.4811733

Filename

4811733