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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
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Searching... | 30000010139070 | HB172.5 N54 2004 v.1 | Open Access Book | Book | Searching... |
Searching... | 30000010139071 | HB172.5 N54 2004 v.2 | Open Access Book | Book | Searching... |
Searching... | 30000010139072 | HB172.5 N54 2004 v.3 | Open Access Book | Book | Searching... |
Searching... | 30000010139073 | HB172.5 N54 2004 v.4 | Open Access Book | Book | Searching... |
Searching... | 30000010063695 | HB172.5 N54 2004 v.2 | Open Access Book | Great Book | Searching... |
Searching... | 30000010063694 | HB172.5 N54 2004 v.3 | Open Access Book | Great Book | Searching... |
Searching... | 30000010063699 | HB172.5 N54 2004 v.4 | Open Access Book | Great Book | Searching... |
On Order
Summary
Summary
This collection brings together Peter Nijkamp's work in the areas of innovation, entrepreneurship, growth and spatial development.
The first part comprises work of a theoretical nature and addresses issues such as the micro-economic foundation of spatial development, the relevance of spatial innovation and urban incubation theory, the role of network growth, policy and the importance of novel evolutionary perspectives for understanding regional economic dynamics. The second part focuses attention on empirical macro and meso dimensions of economic development, dealing inter alia with the economic growth impact of public policy, the local factors critical for successful innovation, the importance of networks for regional growth and the implications of the rational expectations paradigm for industrial dynamics. The third part focuses on empirical micro-studies of economic performance and the final part emphasises the scope and effect of public policy for spatial-economic performance, including policies for ICT, regional development, urban sustainability and learning capabilities.
This collection will be essential reading for scholars and students interested in regional science, innovation studies, entrepreneurship and economic development.
Author Notes
Peter Nijkamp, Adam Mickiewicz University, Poznan, Poland, Jheronimus Academy of Data Science (JADS) in 's-Hertogenbosch, the Netherlands and the Universitatea Alexandru Ioan Cuza din Iasi, Iasi, Romania