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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shen Min Wu He-cheng Hua Hai-ling |
| Copyright Year | 2013 |
| Description | Author affiliation: Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China (Shen Min; Wu He-cheng; Hua Hai-ling) |
| Abstract | Taking the technology innovation input and output 2000-2010 data of 29 provincial regions' large and medium-sized industrial enterprises as sample, this paper classifies all regions with a standard of the comprehensive strength by method of CMPD, and makes precision analysis and elastic structure analysis to each region by the PLS method. The following conclusions are obtained: Over the analysis period, there exist obvious regional differences in the key factors of innovation output and its important influence factors. The capacity of R&D and transformation are generally higher in most regions, international competitiveness is still lower; Except private enterprises concentrated region, invention patent is the main form of the patent; Investment of technology innovation is the most important influencing factors to technological innovation output, but personnel input influence is weaker. |
| Sponsorship | IEEE Syst., Man, Cybern. Soc. |
| Starting Page | 256 |
| Ending Page | 259 |
| File Size | 181373 |
| Page Count | 4 |
| File Format | |
| ISSN | 21669430 |
| e-ISBN | 9781467352482 |
| DOI | 10.1109/GSIS.2013.6714776 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-11-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Economics Industries Technological innovation Patents elastic structure PLS technological innovation Educational institutions cluster method of panel data Personnel Indexes |
| Content Type | Text |
| Resource Type | Article |
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