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Business service location with spatially stochastic demands: agglomeration economies generated by interaction costs and localized uncertain demand – an optimal stock location model approach

In: Knowledge, Innovation and Space

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  • Makoto Okumura
  • Makoto Tsukai

Abstract

The contributions in this volume extend our understanding about the different ways distance impacts the knowledge conversion process. Knowledge itself is a raw input into the innovation process which can then transform it into an economically useful output such as prototypes, patents, licences and new companies. New knowledge is often tacit and thus tends to be highly localized, as indeed is the conversion process. Consequently, as the book demonstrates, space or distance matter significantly in the transformation of raw knowledge into beneficial knowledge.

Suggested Citation

  • Makoto Okumura & Makoto Tsukai, 2014. "Business service location with spatially stochastic demands: agglomeration economies generated by interaction costs and localized uncertain demand – an optimal stock location model approach," Chapters, in: Charlie Karlsson & Börje Johansson & Kiyoshi Kobayashi & Roger R. Stough (ed.), Knowledge, Innovation and Space, chapter 7, pages 160-179, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:13819_7
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    References listed on IDEAS

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    8. Makoto Okumura & Makoto Tsukai, 2003. "Distribution Network Configuration Considering Inventory Cost," ERSA conference papers ersa03p343, European Regional Science Association.
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