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Jin-Li, Hu
- Efficiency of Science and Technology Industrial Parks in China
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Authors
Affiliations
1 Director, Institute of Business and Management National Chiao Tung University 118 Chung-Hsiao W. Rd., Sec. 1 Taipei 100, TW
2 Deptt. of Industrial Engineering and Management Tungnan University, Taiwan and Institute of Business and Management National Chiao Tung University, TW
3 Sc. & Tech. Policy Research and Information Center National Applied Research Laboratories, TW
4 Institute of Business and Management National Chiao Tung University, TW
1 Director, Institute of Business and Management National Chiao Tung University 118 Chung-Hsiao W. Rd., Sec. 1 Taipei 100, TW
2 Deptt. of Industrial Engineering and Management Tungnan University, Taiwan and Institute of Business and Management National Chiao Tung University, TW
3 Sc. & Tech. Policy Research and Information Center National Applied Research Laboratories, TW
4 Institute of Business and Management National Chiao Tung University, TW
Source
Journal of Management Research, Vol 10, No 3 (2010), Pagination: 151-166Abstract
This research investigates the efficiency of fifty-three Science and Technology Industrial Parks (STIPs) in China from 2004 to 2006. We apply the four-stage data envelopment analysis (DEA) approach proposed by Fried et al. (1999), trying to eliminate the different operational conditions beyond STIPs' control, so as to provide a fair understanding of their performances. Five environmental factors are taken into account in our assessment process. The major findings are as follows: Environmental factors do affect to the efficiency of the STIPs, in general, exhibiting that STIPs in China are under favorable environments for operation. Geographically, the performances of STIPs are east, central, and west in sequence of quality. However, the STIPs located in the west area are deeply impacted by the environment on average. After adjusting inputs to exclude influences of environmental factors, only Beijing, Shanghai, and Hangzhou remain at the best technical efficiency.Keywords
Four-stage Dea, Science And Technology Industrial Parks (stips), Tobit Regression
References
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- Cost Efficiency of Listed Electronics- Information Firms in China
Abstract Views :350 |
PDF Views:1
Authors
Affiliations
1 Institute of Industrial Economics Nankai University, CN
2 Institute of Business and Management National Chiao Tung University, TW
1 Institute of Industrial Economics Nankai University, CN
2 Institute of Business and Management National Chiao Tung University, TW
Source
Journal of Management Research, Vol 9, No 1 (2009), Pagination: 27-34Abstract
This research studies twenty listed electronics-information firms in China during the period 2001 to 2005 and applies Battese and Coellis (1995) model of a stochastic frontier function to compute the cost inefficiency scores. Simultaneously it also evaluates the influence on cost efficiency of R&D expenditure, scale and management model of the firms. All nominal variables in monetary units have been deflated into real variables at 2001 prices. Our empirical results are summarized as follows: The average cost efficiency of Chinese listed electronics-information firms is very low. R&D expenditure significantly improves cost efficiency. The scale of a firm significantly worsens cost efficiency, showing dis-economies of scale. Operational diversification significantly improves cost efficiency, showing economies of scope.Keywords
Electronics-information, Cost Efficiency, Operational DiversificationReferences
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- Operational Environment-adjusted Nationwide Bank Efficiency in China
Abstract Views :299 |
PDF Views:1
Authors
Affiliations
1 Institute of Business and Management National Chiao Tung University Taipei City 100, TW
2 Department of Finance China University of Technology, TW
3 Business School University of Gloucestershire, GB
1 Institute of Business and Management National Chiao Tung University Taipei City 100, TW
2 Department of Finance China University of Technology, TW
3 Business School University of Gloucestershire, GB
Source
Journal of Management Research, Vol 9, No 3 (2009), Pagination: 142-158Abstract
In addition to managerial factors, the operational environment also brings favorable and unfavorable effects upon banks. This study attempts to separate the inefficiency caused by management and the inefficiency caused by operational environment. Applying the four-stage data envelopment analysis (DEA) approach proposed by Fried et al. (1999), this paper studies the operational environment-adjusted efficiency of eleven nationwide banks in China from 1995 to 2004. There are two outputs (investment and loans) and three inputs (deposits, employees, and fixed assets) in the DEA model. All nominal variables are transformed into real variables by the GDP deflators at the 1995 price level. After adjusting the input variables by excluding effects caused by environmental factors, state-owned banks show a greater improvement on efficiency. This implies that joint-equity ownership significantly favors nationwide banks in China. State-owned banks can hence engage in ownership reform to improve their efficiency.Keywords
Data Envelopment Analysis (dea), Environment-adjusted Efficiency, Ownership Reform, China, Banking IndustryReferences
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