Empirical analysis on input-output efficiency of advanced equipment manufacturing industry based on DEA method

Author

Wang, Guozhen ; Wu, Jingru

Author_Institution

Coll. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China

fYear

2012

fDate

15-17 July 2012

Firstpage

321

Lastpage

326

Abstract

As one of the strategic new industries, advanced equipment manufacturing industry is the key point of modern industrial system. The level of input-output efficiency is related closely to resource allocation of equipment manufacturing industry and modern industry transformation and upgrading. This article uses DEA method to make positive measure of technical and scale validity of input-output efficiency in advanced equipment manufacturing in Hebei Province, China, in 2007 and 2009. 37 subclasses are classified into different types which refer to the characteristics of input-output efficiency in different types of industry. The result shows that the technical validity of input-output efficiency of various industries is related to scale validity. Subclasses in different industries should take effective measure to improve input-output efficiency based on their own situations.

Keywords

data envelopment analysis; manufacturing industries; pattern classification; resource allocation; strategic planning; DEA method; Hebei province; advanced equipment manufacturing industry; input-output efficiency; modern industry transformation; resource allocation; Decision making; Indexes; Instruments; Manufacturing; Manufacturing industries; Production; Advanced equipment manufacturing industry; DEA method; Input-output efficiency;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on

Conference_Location

Xian

ISSN

2158-5695

Print_ISBN

978-1-4673-1534-0

Type

conf

DOI

10.1109/ICWAPR.2012.6294801

Filename

6294801