Abstract
Entropy measures provide important tools to indicate variety in distributions at particular moments in time (e.g., market shares) and to analyse evolutionary processes over time (e.g., technical change). Importantly, entropy statistics are suitable to decomposition analysis, which renders the measure preferable to alternatives like the Herfindahl index in cases of decomposition analysis. There are several applications of entropy in the realms of industrial organisation and innovation studies.
| Original language | English |
|---|---|
| Title of host publication | The Elgar companion to neo-schumpeterian economics |
| Editors | H. Hanusch, A. Pyka |
| Place of Publication | Cheltenham, UK and Northhampton MA |
| Publisher | Edward Elgar Publishing |
| Pages | 544-555 |
| Number of pages | 1232 |
| ISBN (Print) | 978-1-84844-702-8 |
| Publication status | Published - 2007 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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