2026-10-14T18:08:13Z https://www.scidb.cn/oai

10.57760/sciencedb.011vy 2026-09-09T15:27:52Z

2026-09-09 Dataset of papers on fast-track patent pre-examination reform and expanding the boundaries of corporate innovation doi:10.57760/sciencedb.011vy en This dataset is an annual unbalanced panel data of enterprises, with a research sample time span of 2014-2022. It takes Chinese A-share listed companies in Shanghai and Shenzhen as the research object, and the time resolution is annual. The original data mainly comes from the China National Intellectual Property Administration, the websites of local people's government departments, the official website of the Intellectual Property Protection Center and the CSMAR database. Among them, the China National Intellectual Property Administration provides enterprises with full patent data, the government departments' websites and the intellectual property protection center's official websites are used to sort out the cities, industries and implementation time involved in the rapid patent prequalification reform since 2018, and the CSMAR database provides enterprise financial and governance data. During the data processing, Python is used to extract the IPC classification number of enterprise patents, construct a historical patent pool, and calculate the innovation boundary indicators of enterprises based on whether patents enter new technology fields in subsequent years; At the same time, all continuous variables were truncated by 1%, resulting in 12981 annual observation records of enterprises. The row labels in this dataset correspond to the annual observations of each listed company, while the column labels include enterprise code, year, innovation boundary indicators, variables related to rapid patent pre-approval reform, as well as variables such as enterprise size, dual employment, return on assets, enterprise age, Tobin's Q value, proportion of fixed assets, shareholding ratio of the largest shareholder, financial leverage, and cash flow. This dataset is suitable for examining the impact of rapid patent pre-approval reform on the innovation boundary of enterprises, as well as innovation risk resistance, information friction mitigation, heterogeneity, and dynamic effects.  patent; innovation; reform zhang xue feng Zhu Shusen Liu Jiamin Jia Qingzhou Liu Jiayao RESTRICTED dataset Science Data Bank