Technological diversity of patent applications and decision pendency
Kejia Zhu,
Shavin Malhotra and
Yaohan Li
Research Policy, 2022, vol. 51, issue 1
Abstract:
This study focuses on the duration of the patent examination process to develop a theoretical framework that explains how the effect of an important characteristic, technological diversity of patent applications, influences the duration of patent examination. Drawing on an information-processing perspective, we propose a U-shaped relationship between the level of technology diversity of a patent application and the pendency time for patent office decisions, including both grants and refusals. We run Cox proportional hazard models on a sample of all pharmaceutical patent applications filed between 1985 and 2017 at China's State Intellectual Property Office. Our results support the hypothesized U-shaped relationship between technology diversity and decision pendency. We also theorize and find partial support for the moderating effects of patent agency and inventor team size. The implications of these findings are discussed.
Keywords: Decision pendency; Information processing; Patent examination; Technological diversity; State intellectual property office (SIPO) (search for similar items in EconPapers)
Date: 2022
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/S004873332100161X
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:respol:v:51:y:2022:i:1:s004873332100161x
DOI: 10.1016/j.respol.2021.104364
Access Statistics for this article
Research Policy is currently edited by M. Bell, B. Martin, W.E. Steinmueller, A. Arora, M. Callon, M. Kenney, S. Kuhlmann, Keun Lee and F. Murray
More articles in Research Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().