Research Article | OPEN ACCESS
Does Excess Capacity Occur in Chinese Software Industry? An Integrated DEA Approach and its Statistical Tests
1Malin Song, 1Jun Peng and 2Qingxian An
1School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, P.R. China
3 Schools of Management, University of Science and Technology of China, Hefei, P.R. China
Research Journal of Applied Sciences, Engineering and Technology 2013 11:3152-3158
Received: September 28, 2012 | Accepted: November 23, 2012 | Published: April 05, 2013
Abstract
This study proposes a new integrated Data Envelopment Analysis (DEA) approach for performance evaluation. Based on economic data of listed companies of software industry in Shanghai and Shenzhen Stock Exchanges, this study first establishes an index system which reflects the status of capacity and operational efficiency. Then, integrated DEA models as well as Synthetic Average method, Borda method, Copeland method and fuzzy Borda method (SABCB Method) are used to calculate the operational efficiency and status of returns to scale. The empirical analysis concludes: (1) in general, operational efficiency of Chinese software industry is acceptable; (2) input redundancy and output shortage occur in the majority of companies. Some companies have been in the region of decreasing or constant returns to scale and excess capacity could now be observed; (3) improving capability of independent innovations continuously and transforming existing business processes are a pressing task for many software companies who want to take the international financial crisis as opportunities.
Keywords:
Data envelopment analysis, excess capacity, operational efficiency, SABCB method, software industry,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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