Assessing the value of China's patented inventions
Kenneth Guang-Lih Huang,
Can Huang,
Huijun Shen and
Hao Mao
Technological Forecasting and Social Change, 2021, vol. 170, issue C
Abstract:
This study provides one of the first systematic and direct assessments of the value of China's inventions and examines the strategic factors influencing their value, using patents granted to firms by the China National Intellectual Property Administration (CNIPA). To do this, we first review the theoretical background of these factors and the inventor survey approach to estimating patent value. We then conduct the analysis using the large-scale, comprehensive annual Inventors Survey database (ISDB) collected by CNIPA, which consists of 12,869 firms linked to 30,693 patents granted between 2010 and 2012. We find that the median and average revenues from firms’ implementation of their patents are RMB 0.75 million and 8.04 million respectively. Furthermore, we find that patents involving higher R&D investments, invention patents, patents essential to standards and belonging to patent pools command a higher value. State-owned enterprises (SOEs) produce lower value patented inventions relative to domestic private firms and foreign firms. Larger firms and those with intellectual property departments and aggressive in patent litigation have higher value inventions. Our findings yield important theoretical, methodological and policy implications.
Keywords: Value of patented inventions; Patents; Intellectual property strategy; China; Innovation policy (search for similar items in EconPapers)
JEL-codes: O32 O34 O38 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162521003000
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: https://EconPapers.repec.org/RePEc:eee:tefoso:v:170:y:2021:i:c:s0040162521003000
DOI: 10.1016/j.techfore.2021.120868
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().