The contributors to this book examine developments in empirical methods and applied simulation in evolutionary economics. Using examples of innovation and technology in industry, it addresses the following questions in a systematic manner: Can evolutionary economics use the same empirical methods as other research traditions in economics? Is there a need for empirical methods appropriate to the subject matter chosen? What is the relationship between appreciative theorizing, case studies and more structured empirical methods? What is the relationship of modelling and simulation to empirical analysis?
List of figures.
List of tables.
List of contributors.
1. Introduction by Pier Paolo Saviotti.
2. Technological paradigms and the evolution of networks: lessons from the pharmaceutical industry by Fabio Pammolli and Massimo Riccaboni.
3. Increasing returns and network structure in the evolutionary dynamics of industries by Andrea Bonaccorsi and Paola Giuri.
4. The evolution of specialization: public research in the chemical and pharmaceutical industries by Aldo Geuna.
5. Evolutionary patterns of innovation and product life cycle: empirical evidence from the electric motors industry by Edmar Luiz Fagundes de Almeida.
6. Coping collectively with the exploration-exploitation trade-off in research consortia: the case of advanced batteries for electric vehicles by Philippe Larrue.
7. Innovation direction and persistence within an industry: the refining processes case by Francois Bel and Bernard Bourgeois.
8. An evolutionary view on persistence in innovation: an empirical application of duration models by C. Le Bas and A. Cabagnols and C. Gay.
9. Twin peaks: what the knowledge-based approach can say about the dynamics of the world income distribution by Andreas Pyka and Jens J. Kruger and Uwe Cantner.
10. "Leaping across the mountains, bounding over the hills": punctualism and gradualism in economic development by Witold Kwasnicki.
11. Unlocking a lock-in: towards a model of technological succession by Paul Windrum.
12. Selection and the learning curve by P. A. Geroski and M. Mazzucato.
Index.