Journal of Management Research

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Efficiency of Science and Technology Industrial Parks in China


Affiliations
1 Director, Institute of Business and Management National Chiao Tung University 118 Chung-Hsiao W. Rd., Sec. 1 Taipei 100, Taiwan, Province of China
2 Deptt. of Industrial Engineering and Management Tungnan University, Taiwan and Institute of Business and Management National Chiao Tung University, Taiwan, Province of China
3 Sc. & Tech. Policy Research and Information Center National Applied Research Laboratories, Taiwan, Province of China
4 Institute of Business and Management National Chiao Tung University, Taiwan, Province of China
     

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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
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  • Bigliardi, B., Dormio, A. I., Nosella, A. and Petroni, G. (2006), Assessing Science Parks Performances: Directions from Selected Italian Case Studies, Technovation, 6: 489-505.

  • Charnes, A., Cooper, W. W. and Rhodes, E. (1978), Measuring the Efficiency of Decision Making Units, European Journal of Operational Research, 2(6): 429-444.

  • Chen, C. J. and Huang, C. C. (2004), A Multiple Criteria Evaluation of High-Tech Industries for the Science-Based Industrial Park in Taiwan, Information and Management, 41: 839-851.

  • Coelli, T., Rao, D. S. P. and Battese, G. E. (1998), An Introduction to Efficiency and Productivity Analysis, Kluwer Academic Publishers, Boston.

  • Farrell, M. J. (1957), The Measurement of Productivity Efficiency, Journal of Royal Statistical Society, Series A, 120: 253-281.

  • Ferguson, R. and Olofsson, C. (2004), Science Parks and the Development of NTBFs – Location, Survival and Growth, Journal of Technology Transfer, 29: 5-17.

  • Fried, H. O., Schmidt, S. S. and Yaisawarng, S. (1999), Incorporating the Operating Environment into a Nonparametric Measure of Technical Efficiency, Journal of Productivity Analysis, 12(3): 249-267.

  • Grupp, H., Schmoch, U. and Koschatzky, K. (1998), Science and Technology Infrastructure in Baden-Wuerttemberg and its Orientation Towards Future Regional Development, Journal of the American Society for Information Science, 49(1): 18-29.

  • Hu, J. L., Yeh, F. Y. and Chang, I. T. (2009), Industrial Park Efficiency in Taiwan, Journal of Information and Optimization Sciences, 30(1): 68-86.

  • Hu, J. L., Yeh, F. Y., Lee, Y. C. and Chen, C. L. (2005), Efficiency of High-Tech Zones in Mainland China (in Chinese), Journal of Technology Management, 10: 135-168.

  • Keeble, D. E. (1989), High-Technology Industry and Regional Development in Britain: The Case of the Cambridge Phenomenon, Environment and Planning C: Government and Policy, 2(7): 153-172.

  • Koh, F. C. C., Koh, W. T. H. and Tschanga, F. T. (2005), An Analytical Framework for Science Parks and Technology Districts with an Application to Singapore, Journal of Business Venturing, 20: 217-239.

  • Lai, H. C. and Shyu, J. Z. (2005), A Comparison of Innovation Capacity at Science Parks across Taiwan Strait: The Case of Zhangjiang High-Tech Park and Hsinchu Science-Based Industrial Park, Technovation, 25: 805-813.

  • Linka, A. N. and Scott, J. T. (2003), US Science Parks: The Diffusion of an Innovation and its Effects on the Academic Missions of Universities, International Journal of Industrial Organization, 21: 1323-1356.

  • National Bureau of Statistics of China, China Statistical Yearbook (2005~2007), China Statistics Press, Beijing.

  • Park, S. C. (2002), Science Parks in Sweden as Regional Development Strategies: A Case Study on Ideon Science Park, AI and Society – Artificial Intelligence, 16: 288-298.

  • Phillips, S. A. M. and Yeung, H. W. C. (2003), A Place for R&D? The Singapore Science Park, Urban Studies, 40: 707-723.

  • Puri, Y. and Suchong, K. (1997), High Technology Competition: The Role of Higher Education and Research Infrastructure, Advances in Competitiveness Research, 5: 64-84.

  • Shin, D. H. (2001), An Alternative Approach to Developing Science Parks: A Case Study from Korea, Papers in Regional Science, 80: 103-111.

  • Siegela, D. C., Westhead, P. and Wright, M. (2003), Assessing the Impact of University Science Parks on Research Productivity: Exploratory Firm-Level Evidence from the United Kingdom, International Journal of Industrial Organization, 21: 1357-1369.

  • Sun, H., Ni, W. B. and Leung, J. (2007), Critical Success Factors for Technological Incubation: Case Study of Hong Kong Science and Technology Parks, International Journal of Management, 24(2): 346-363.

  • Tiebout, C. M. (1956), A Pure Theory of Local Expenditures, The Journal of Political Economy, 64(5): 416-424.

  • Torch High Technology Industry Development Center, China Torch Program Statistics (2004-2006), Ministry of Science and Technology of China, Beijing.

  • Westhead, P. and Batstone, S. (1998), Independent Technology-Based Firms: The Perceived Benefits of a Science Park Location, Urban Studies, 35: 2197-2219.


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  • Efficiency of Science and Technology Industrial Parks in China

Abstract Views: 302  |  PDF Views: 3

Authors

Hu Jin-Li
Director, Institute of Business and Management National Chiao Tung University 118 Chung-Hsiao W. Rd., Sec. 1 Taipei 100, Taiwan, Province of China
Han Tsung-Fu
Deptt. of Industrial Engineering and Management Tungnan University, Taiwan and Institute of Business and Management National Chiao Tung University, Taiwan, Province of China
Yeh Fang-Yu
Sc. & Tech. Policy Research and Information Center National Applied Research Laboratories, Taiwan, Province of China
Lu Chi-Liang
Institute of Business and Management National Chiao Tung University, Taiwan, Province of China

Abstract


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