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A spatial analysis of R&D: the role of industry proximity

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  • Oliviero A. Carboni

Abstract

This paper employs individual firm data in order to check the existence of industry-spatial effects alongside other microeconomic determinants of R&D investment. Spatial proximity is defined by a measure of firms' industry distance based on trade intensity between sectors. The spatial model specified here refers to the combined spatial-autoregressive model with autoregressive disturbances. In modelling the outcome for each location as dependent on a weighted average of the outcomes of other locations, outcomes are determined simultaneously. The results of the spatial estimation suggest that in their R&D decision firms benefit from spillovers originating from neighbouring industries.

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  • Oliviero A. Carboni, 2013. "A spatial analysis of R&D: the role of industry proximity," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(8), pages 820-839, November.
  • Handle: RePEc:taf:ecinnt:v:22:y:2013:i:8:p:820-839
    DOI: 10.1080/10438599.2013.788871
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    Cited by:

    1. Anna M. Ferragina & Giulia Nunziante, 2018. "Are Italian firms performances influenced by innovation of domestic and foreign firms nearby in space and sectors?," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 45(3), pages 335-360, September.
    2. Oliviero A. Carboni & Claudio Detotto, 2016. "The economic consequences of crime in Italy," Journal of Economic Studies, Emerald Group Publishing, vol. 43(1), pages 122-140, January.
    3. Cardamone, Paola, 2014. "R&D, spatial proximity and productivity at firm level: evidence from Italy," MPRA Paper 57149, University Library of Munich, Germany.
    4. Oliviero A. Carboni & Giuseppe Medda, 2018. "R&D, export and investment decision: evidence from European firms," Applied Economics, Taylor & Francis Journals, vol. 50(2), pages 187-201, January.
    5. Cantabene, Claudia & grassi, iacopo, 2018. "R&D cooperation in SMEs: the direct effect and the moderating role of human capital," MPRA Paper 87925, University Library of Munich, Germany.
    6. OA Carboni & G. Medda, 2017. "Do Investment and Innovation Boost Export? An Analysis on European Firms," Working Paper CRENoS 201708, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

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    More about this item

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General

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