DocumentCode
560364
Title
A Quantile Regression Analysis on the Correlation between Independent Innovation and Exports of High-tech Products in China
Author
Chunying, Zhou
Author_Institution
Sch. of Econ. & Manage., Nanjing Forestry Univ., Nanjing, China
Volume
2
fYear
2011
fDate
26-27 Nov. 2011
Firstpage
222
Lastpage
225
Abstract
The purpose of this paper is to analyze the correlation between independent innovation and exports of high-tech products by constructing a research framework including domestic and foreign patent applications accepted. Quantile regression is applied to empirical study the impacts of independent innovation to exports of high-tech products from 1986 to 2009 in China. The results show that medium and low level independent innovation has positive effects to exports of high-tech products at various kinds of conditional distribution, but the role of high level independent innovation to exports of high-tech products is insignificant. The high level international technology spillovers play significant positive effects for exports of high-tech products at various kinds of conditional distribution, while the effects of medium and low level international technology spillovers to exports of high-tech products is insignificant. Empirical results suggest that policy must be formulated to support domestic high level independent innovation.
Keywords
innovation management; international trade; patents; regression analysis; China; conditional distribution; domestic patent application; foreign patent application; high level international technology spillover; high-tech product export; independent innovation; quantile regression analysis; Correlation; Data models; Economics; Industries; Investments; Patents; Technological innovation; exports of high-tech products; independent innovation; quantile regression;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management, Innovation Management and Industrial Engineering (ICIII), 2011 International Conference on
Conference_Location
Shenzhen
Print_ISBN
978-1-61284-450-3
Type
conf
DOI
10.1109/ICIII.2011.201
Filename
6116736
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