Intellectual Property Protection and Technological Innovation of Chinese GEM Manufacturing Enterprise based on Research of Quantile Regression Model and Dynamic Panel Models

DOI

10.2991/emcs-16.2016.368How to use a DOI?

Keywords

Quantile regression model; Dynamic panel models; Intellectual property protection level; Innovation input; Innovation output

Abstract

By considering Chinese GEM listed manufacturing enterprise as research object, this paper presents an analysis of panel data from 2009 to 2013 and examines the relationship between R&D capital investment, level of intellectual property protection and patent output based on the quantile regression model, dynamic panel model and least squares regression model. This paper also presents estimators for factors that affect R&D capital investment input. The research indicates that intellectual property protection level promotes R&D capital investment. The research also shows an inverted U-shaped relationship between intellectual property protection level and innovation output. R&D capital investment and labor input show facilitation on promoting innovation output. Taking effects of government subsidy, liabilities and some other factors into consideration, the results this paper obtained demonstrate what kind of behavior companies and government shall conduct, this paper find company’s assets and government subsides can promote innovation input while company’s age and scale impede innovation input.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tianhe Cao
PY  - 2016/01
DA  - 2016/01
TI  - Intellectual Property Protection and Technological Innovation of Chinese GEM Manufacturing Enterprise based on Research of Quantile Regression Model and Dynamic Panel Models
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 1469
EP  - 1473
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.368
DO  - 10.2991/emcs-16.2016.368
ID  - Cao2016/01
ER  -