Social Capital and Business Development in High-Technology Clusters
Overview
- Authors:
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Neslihan Aydogan
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Dept. Economics, Cankaya University, Ankara, Turkey
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Yiu Por Chen
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Management of Public Services Program, DePaul University, Chicago, U.S.A.
- Provides fascinating new insights on the dynamics of knowledge transfer in high-tech environments
- Entrepreneurship and innovation continue to be popular topics in research and practice
- Considers implications for policymaking and education/training
Table of contents (5 chapters)
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Front Matter
Pages i-xiii
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- Neslihan Aydogan, Thomas P Lyon
Pages 39-43
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Back Matter
Pages 105-111
About this book
Neslihan Aydogan It is now widely accepted that geographical proximity matters to economic and - cial life. Not only does it provide externalities that reduce transaction costs, but it also helps transacting parties form networks from which they can bene t greatly. More than ever, economists have been trying to bridge the development gap between poor and rich regions. Agglomerations are investigated toward that target because economists think that if certain regions can mix up that special formula to conti- ously innovate and produce, then understanding and forming such agglomerations could be one way to go about that growth path. We have designed the chapters of this book to work out the mechanics of geographical agglomerations in the United States with the focus of identifying the characteristics of such special formula Chapters 1–3 are designed to investigate the high-tech clusters that have sprung up in the United States due to their innovative capacity to engage in high-val- added activities. The rst question we ask is, What promotes the productivity of high-tech rms? We ask this question by taking into account the region in which a rm is located and the spillover effects of the region on the rm. In particular, we ask if the presence of a variety of industries or of similar industries promotes the productivity of high-tech rms. In this regard, we are interested in distingui- ing the high- and low-tech rms in terms of their driving factors.
Reviews
From the reviews:
“To provide an operational definition early on, to help guide the reader … . book is a quick read, and is generally accessible to scholars and students with an intermediate background in econometrics or applied statistics. … greatest interest to regional scientists, economists, and economic geographers who are already familiar with contemporary research on knowledge spillovers and network externalities and want to keep up with new empirical results.” (Henry Renski, Journal of Regional Science, Vol. 50 (2), 2010)
Authors and Affiliations
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Dept. Economics, Cankaya University, Ankara, Turkey
Neslihan Aydogan
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Management of Public Services Program, DePaul University, Chicago, U.S.A.
Yiu Por Chen
