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Firm Innovation Strategies: a spatial cohort multinomial probit approach

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  • Corinne Autant-Bernard

    (CREUSET - Centre de Recherche Economique de l'Université de Saint-Etienne - UJM - Université Jean Monnet - Saint-Étienne)

  • Olivier Parent
  • James Lesage

Abstract

This paper presents a multinomial extension of the binary probit model that allows for interfirm utility based on a spatially defined cohort of firms. Extending the class of Bayesian spatiallogiVprobit models, we investigate how firms decisions regarding innovation strategies are related to a spatially defined cohort of nearby firms' strategy choices. The results suggest that firms choice of innovation strategies are similar to those made by firms located nearby in space.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Corinne Autant-Bernard & Olivier Parent & James Lesage, 2007. "Firm Innovation Strategies: a spatial cohort multinomial probit approach," Post-Print ujm-00163393, HAL.
    • Handle: RePEc:hal:journl:ujm-00163393
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    Cited by:

    1. Juana Sanchez, 2014. "Innovation Output Choices And Characteristics Of Firms In The U.S," Working Papers 14-42, Center for Economic Studies, U.S. Census Bureau.
    2. Tonnerre, Antoine, 2017. "A Spatial Analysis of Innovation in Europe," MPRA Paper 80116, University Library of Munich, Germany.
    3. Raja Chakir & Olivier Parent, 2009. "Determinants of land use changes: A spatial multinomial probit approach," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 327-344, June.
    4. Arnab Bhattacharjee & Ornella Maietta & Fernanda Mazzotta, 2023. "Spatial agglomeration, innovation and firm survival for Italian manufacturing firms," Spatial Economic Analysis, Taylor & Francis Journals, vol. 18(3), pages 318-345, July.

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