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Technology Transfer: Spatial Analysis



Aim of this paper is to analyse the spatial aspects of technology transfer (t.t.) in Cnr Institutes of Piemonte, a highly industrialised region in North Western Italy. The specific purpose is to verify two hypotheses 1) If the spatial propagation of t.t. follows the Hägerstrand adjacency-effect; 2) If there is a reduction of Hägerstrand adjacency-effect between Institutes and dynamical manufacturing areas which are localised far from knowledge sources. This work uses the data from internal administrative documents (invoices, customers’ list) of the Institutes, for the 1996-1998 period. These hypotheses have been verified with geometrical and mathematical tools (Indices BASTT, ASTT, MITT, IDI). The latter have been built considering a spatial approach which is both neo-classical (physical distance) and modern (interaction). The empirical results confirm the hypotheses: the t.t. decreases when the physical space is more extended (Hp 1), moreover some Institutes have a strong t.t. activity toward industrial districts which are localised far (Hp 2). An example is t.t. from wool Institute localised in Biella to Prato and Vicenza textile areas or the t.t. from the agricultural mechanisation Institute of Turin toward firms localised in Reggio Emilia region.

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  • Mario Coccia, 2000. "Technology Transfer: Spatial Analysis," CERIS Working Paper 200001, Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY -NOW- Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY.
  • Handle: RePEc:csc:cerisp:200001

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    References listed on IDEAS

    1. Secondo Rolfo, 1998. "Prossimità, reti e innovazione: alcuni spunti per un confronto Francia-Italia," L'industria, Società editrice il Mulino, issue 3, pages 657-666.
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    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O39 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Other
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location


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