Efficiency of Science and Technology Industrial Parks in China

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.

[1]  M. Wright,et al.  Assessing the impact of university science parks on research productivity: exploratory firm-level evidence from the United Kingdom , 2003 .

[2]  A. Nosella,et al.  Assessing science parks' performances: directions from selected Italian case studies , 2006 .

[3]  Chung-Jen Chen,et al.  A multiple criteria evaluation of high-tech industries for the science-based industrial park in Taiwan , 2004, Inf. Manag..

[4]  Dong-Ho Shin An Alternative Approach To Developing Science Parks: A Case Study From Korea. Research Notes And Comments , 2001 .

[5]  Timothy Coelli,et al.  An Introduction to Efficiency and Productivity Analysis , 1997 .

[6]  Harold O. Fried,et al.  Incorporating the Operating Environment Into a Nonparametric Measure of Technical Efficiency , 1999 .

[7]  Jin-Li Hu,et al.  Industrial park efficiency in Taiwan , 2009 .

[8]  Winston T. H. Koh,et al.  An Analytical Framework for Science Parks and Technology Districts with an Application to Singapore , 2003 .

[9]  John T. Scott,et al.  U.S. science parks: the diffusion of an innovation and its effects on the academic missions of universities , 2003 .

[10]  M. Farrell,et al.  THE MEASUREMENT OF PRODUCTIVITY EFFICIENCY , 1957 .

[11]  Charles M. Tiebout A Pure Theory of Local Expenditures , 1956, Journal of Political Economy.

[12]  Richard Ferguson,et al.  Science Parks and the Development of NTBFs— Location, Survival and Growth , 2004 .

[13]  Hariolf Grupp,et al.  Science and Technology Infrastructure in Baden-Wuerttemberg and Its Orientation towards Future Regional Development , 1998, J. Am. Soc. Inf. Sci..

[14]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[15]  Hsien-che Lai,et al.  A comparison of innovation capacity at science parks across the Taiwan Strait: the case of Zhangjiang High-Tech Park and Hsinchu Science-based Industrial Park , 2005 .

[16]  D. Keeble,et al.  High-Technology Industry and Regional Development in Britain: The Case of the Cambridge Phenomenon , 1989 .