Economics at your fingertips  

Patent statistics: A good indicator for innovation in China? Patent subsidy program impacts on patent quality

Jianwei Dang and Kazuyuki Motohashi ()

China Economic Review, 2015, vol. 35, issue C, 137-155

Abstract: Using a merged dataset of Chinese patent data and industrial survey data, we make a bibliometric analysis of patenting activities of Chinese large and medium-sized enterprises under local patent subsidy programs and test whether patent statistics are a good indicator of innovation in China. Our empirical results show that patent count is correlated with R&D input and financial output, which suggests that patent statistics are meaningful indicators. However, patent subsidy programs increase patent counts more than 30%. We emphasize the necessity of adjustments and provide a novel method of using the number of nouns in claims to quantify the claim scope, thereby overcoming the shortcomings of Chinese patent data that have no citations or lack well-documented patent claim information. We extend prior studies on patent subsidy programs by providing a detailed clarification of policy designs and their impacts and by evaluating policy impacts on both the quantity and quality of patent applications.

Keywords: Patent; Subsidy; Quality; Innovation; China (search for similar items in EconPapers)
JEL-codes: O32 O34 O38 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (36) Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

DOI: 10.1016/j.chieco.2015.03.012

Access Statistics for this article

China Economic Review is currently edited by B.M. Fleisher, K. X. D. Huang, M.E. Lovely, Y. Wen, X. Zhang and X. Zhu

More articles in China Economic Review from Elsevier
Bibliographic data for series maintained by Haili He ().

Page updated 2020-05-19
Handle: RePEc:eee:chieco:v:35:y:2015:i:c:p:137-155