From Patents to Profit: The Impact of Genuine and Counterfeit Innovations on Firm Performance in China

This paper highlights the importance of distinguishing between authentic and counterfeit innovations when designing incentive structures. Promoting genuine technological advancement is essential for sustainable economic growth. Our findings advocate for strategic government interventions that encourage authentic innovation while addressing the risks of opportunistic patent acquisition. df.csv is a financial dataset of listed companies, which contains annual financial reports over the years, as well as stock market returns. patentstype.csv is a patent dataset, which contains the type and number of patent applications filed by each listed company over the years. totforreg.csv contains all the enterprise financial data and R&D data, the original data, after df and patentstype two data sets and, the original data has not been data cleaning jg.csv dataset is the dataset after data cleaning, mainly used for mapping, and robust analysis. pytempforpaper.py is the python source code for this study.