Data and Code for: Knowledge spillovers and corporate investment in scientific research

Principal Investigator(s):  View help for Principal Investigator(s) Ashish Arora, Duke University, Fuqua School of Business and NBER; Sharon Belenzon, Duke University, Fuqua School of Business and NBER ; Lia Sheer, Duke University, Fuqua School of Business

Version:  View help for Version V1

Name File Type Size Last Modified
  data 09/26/2020 11:05:AM
  output_files 11/03/2020 09:47:AM
  programs 11/03/2020 09:49:AM
Data_Appendix.pdf application/pdf 2 MB 09/27/2020 01:49:PM
Data_Appendix_Tables.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 51.7 KB 09/27/2020 01:48:PM
README.pdf application/pdf 170.7 KB 11/03/2020 04:51:AM

Project Citation: 

Arora, Ashish, Belenzon, Sharon, and Sheer, Lia. Data and Code for: Knowledge spillovers and corporate investment in scientific research. Nashville, TN: American Economic Association [publisher], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-02-19. https://doi.org/10.3886/E120550V1

Project Description

Summary:  View help for Summary Using data on 800,000 corporate publications and patent citations to these publications between 1980 and 2015, we study how corporate investment in research is linked to its use in the firm's inventions, and to spillovers to rivals. We find that private returns to corporate research depend on the balance between two opposing forces: the benefits from the use of science in own downstream inventions, and the costs of spillovers to rivals. Consistent with this, firms produce more research when it is used internally, but less research when it is used by rivals. As firms become more sensitive to rivals using their science, they are likely to reduce the share of research in R&D.
Funding Sources:  View help for Funding Sources National Science Foundation (1747316); Fuqua School of Business, Duke University

Scope of Project

Subject Terms:  View help for Subject Terms spillovers; R&D; scientific research; economics of innovation; private returns
JEL Classification:  View help for JEL Classification
      O16 Economic Development: Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
      O31 Innovation and Invention: Processes and Incentives
      O32 Management of Technological Innovation and R&D
Geographic Coverage:  View help for Geographic Coverage United States of America
Time Period(s):  View help for Time Period(s) 1/1/1980 – 12/31/2015
Data Type(s):  View help for Data Type(s) aggregate data; observational data; program source code

Methodology

Data Source:  View help for Data Source
North America Annual Compustat (1980-2015)
Web of Science (WoS) Core Collection (1900-2016)
PATSTAT Global – Single Edition (2016)
Orbis Ownership (2002-2015)
NBER Patent Database (2001 and 2006)
SDC Platinum Mergers & Acquisitions (1980-2015)
Wharton Research Data Services CRSP Stock, CRSP Compustat Merged, Compustat Segments (1980-2015)
Unit(s) of Observation:  View help for Unit(s) of Observation firm-year

Related Publications

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Published Versions

V1 [2021-02-19]

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