Overview: This dataset provides country variables for institutions specific to innovation.
Data setup: The file is set up at the country-year level. The variable RAW_Resource captures the availability of innovation resources in a focal country, which is the principal factor derived from six distinct measures of country-level institutional innovation resources: University-Company Collaboration, Quality of Research Institutions, Availability of Scientists and Engineers, Researchers in R&D, Public Investment in R&D, and International Co-inventors. The variable RAW_Stringency captures the stringency of the patent system, which is the principal factor derived from three individual patent system-related country institution measures: Patent Protection Index (PPI), Patent Enforcement Index (PEI), and Patent Office Strictness.
Methodology: Innovation-specific Country Institution is generated following the methodology in Wu, Huang, Tsang, and Wang (2024 JAE). See the paper for details.
Disclaimer: This data was gathered for our use as an academic researcher. Despite our best efforts, the data may contain some errors. We update this dataset periodically to correct any errors as we become aware of and to include new time periods.
Terms of Use: The data for Innovation-specific Country Institution (version 2023) is developed and used in Wu, Huang, Tsang, and Wang (2024 JAE). If you use this data, please cite the following paper:
Data for Innovation-specific Country Institution (version 2023): here
Time period covered: 2001-2019
Last Updated: 23/03/2023