Abstract
Tue aim of this paper is to investigate the relationship between R&D expenditure and invest· ment
in machinery and equipment in order to test for causality. New growth theory empha sises the role
of R&D in creating blueprints needed to produce new capita! goods implicitly assuming causality
running from R&D to investment. Other recent studies using finn leve! data bave investigated the
The relationship between innovative activity and investment in flxed capita!. In this paper we use
aggregate data from the US economy on R&D expenditure in the industrial sector and aggregate
investment in machinery and equipment Standard Granger causality tests, together with the Hsiao
version, are then performed, showing that causality runs from R&D to investment. Inaddition we
perform a cointegration analysis allowing a test of possible long-run feedbacks. This dynamic
representation shows that any feedback between investment and R&D is only signiflcant in the long
run.
| Original language | English |
|---|---|
| Pages (from-to) | 385-399 |
| Number of pages | 15 |
| Journal | Economics of Innovation and New Technology |
| Volume | 9 |
| DOIs | |
| Publication status | Published - 2000 |
Keywords
- Granger Causality
- R&D
Fingerprint
Dive into the research topics of 'The Causality Between R&D and Investment'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver