The Impact Analysis of University R&D on High-Tech Industry Development Based on PLS Method

Xin Ping Ma; Jun Zhou

doi:10.4028/www.scientific.net/AMR.542-543.289

Paper Titles

The Status of the Mold and Green Manufacturing in China
p.267

The Recycling of Plastics from ELVs - Background, Practices and Potentials
p.271

Evaluation Model of Product Manufacturability for Rapid Response Design
p.281

Research of Engineering Change Analysis
p.285

The Impact Analysis of University R&D on High-Tech Industry Development Based on PLS Method
p.289

An Effective Dynamic Evolutionary Algorithm for Engineering Problems
p.294

Implementation of the Lean Model for Carrying out Value Stream Mapping and SMED in the Aerospace Engine Case Production
p.302

Disclosure of Internal Control Based on XBRL
p.311

Research on Manufacturing Execution System
p.315

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 542-543The Impact Analysis of University R&D on High-Tech...

The Impact Analysis of University R&D on High-Tech Industry Development Based on PLS Method

Abstract:

Based on the partial least squares (PLS) method, this article use the universities total R&D expenditure within the spending, total R&D personnel full-time equivalent, the total number of papers included by foreign main search tools and the total authorized number of patent applications as the independent indicators to quantitatively analyze the impact on the high-tech industry development. The results showed that the total authorized number of patent applications and total R&D expenditure within the spending have more intense impact on high-tech industry development, while the total R&D personnel full-time equivalent is not obvious to the innovation output.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 542-543)

Pages:

289-293

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.542-543.289

Citation:

Cite this paper

Online since:

June 2012

Authors:

Xin Ping Ma, Jun Zhou

Keywords:

High-Tech Industry, PLS

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Wold S，Martens H，Wold H.The multivariate calibration problem in chemistry solved by the PLS method[J].Ruhe A，Kagstrom B（EDs），Proc.Conf.Matrix Pencils，Lectures Notes in Mathematics.Heidelberg：Springer- Verlag.1983.

DOI: 10.1007/bfb0062108

Google Scholar

[2] SIMPA- P for Windows：Multivariate Modeling，Analysis and SPC of Process Data.Suede: UMETRI AB，Box 7960，S- 907 19 Umea，1996.

Google Scholar

[3] Kim,Jinyoung and Marschke,Gerald.Labor Mobility of Scientists, Technological Diffusion,and the Firm's Patenting Decision[J].The Rand Journal of Economics,forthcoming,2005.

Google Scholar

[4] Moen,Jarle.Is Mobility of Technical Personnel a Source of R&D Spillovers?[J].Journal of Labor Economics,2005(1):81-114.

Google Scholar

[5] Guinot C, Latreille J. Tenenhaus M. PL S path modelling and multiple table analysis. Application to the cosmetichabits of women in Ile-de-F rance [J ]. Chemometrics and Intelligent Laboratory Systems. 2001, 58: 247- 259 .

DOI: 10.1016/s0169-7439(01)00163-0

Google Scholar

[6] Wold H. Soft modeling: The basic design and some extensions[A ]. K G Jreskog H Wold, Systems under Indirect Observation[C ], North-Ho lland: Amsterdam, 1982. 1- 54.

Google Scholar