Technological improvement rate predictions for all technologies : use of patent data and an extended domain description
Anuraag Singh, Giorgio Triulzi, Christopher L. Magee
| Year of publication: |
2021
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| Authors: | Singh, Anuraag ; Triulzi, Giorgio ; Magee, Christopher L. |
| Published in: |
Research policy : policy, management and economic studies of science, technology and innovation. - Amsterdam [u.a.] : Elsevier, ISSN 0048-7333, ZDB-ID 121149-3. - Vol. 50.2021, 9, p. 1-31
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| Subject: | Decomposed technological change | Differences in improvement rates among technologies | Moore's law | Patent citation network | Technology improvement rates | Technology performance improvement | Technischer Fortschritt | Technological change | Patent | Technologie | Technology | Theorie | Theory | Innovationsdiffusion | Innovation diffusion |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.respol.2021.104294 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012886328