Combining patent and non patent data for better academic research
The slides for the 2018 AOM PDW are now online here. It was a great success, with more than 70 people attending!
The slides for the 2017 AOM PDW are now online here. It was a great success, with more than 60 people attending!
Zilin He, Tony Tong and their research team recently made available a dataset of Chinese patents. Pl see below.
On 19/09/13 7:16 PM, Z. He wrote:
Dear colleagues and friends,
A Google site has been set up to release the outcomes of the first stage of the Chinese Patent Data Project: https://sites.google.com/site/sipopdb/. Clicking on the tab “SIPO – Chinese listed companies”, you will see files of corporate trees, matched patents, and calculated variables. A user documentation (a link on the right) briefly explains the project. For more details about corporate trees, matching algorithms, tricks of utility model patents, etc., I have a longer but still preliminary document (57 pages) available upon request.
Unlike the NBER patent database, we calculate a list of variables from matched patents to facilitate use by researchers who are not proficient in Chinese. However, we are aware of the danger of the variable paradigm; “real actors were replaced by variables, narrative causality by the reified causality of variables, real time by the order of the variables”(Abbott, 1991). Feel free to use these data/variables if your research concerns emerging markets and China in particular, but a good understanding of the relevant institutional environments and firm strategies—“the context”— is necessary to avoid abuse of variables.
Department of Organization and Strategy
Tilburg School of Economics and Management
P.O. Box 90153
5000 LE Tilburg