Measuring Intersectoral Knowledge Spillovers: an Application of Sensitivity Analysis to Italy

Giovanni Cerulli and Bianca Poti ()

CERIS Working Paper from CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY

Abstract: R&D spillovers are unanimously considered as one of the main driving forces of technical change, innovation and economic growth. This paper aims at measuring inter-industrial R&D spillovers, as a useful information for policy-makers. We apply an “uncertainty-sensitivity analysis” to the Italian input-output table of intermediate goods split into 31 economic sectors for the year 2000. The value added of using this methodology is the opportunity of distinguishing (separately) between spillover effects induced by productive linkages (the Leontiev forward multipliers) and those activated by R&D investments, capturing also the uncertain and non-linear nature of the relations between spillovers and factors affecting them.

Keywords: R&D spillovers; Input-output models; Sensitivity analysis; Monte Carlo simulations (search for similar items in EconPapers)
JEL-codes: C15 C67 O32 (search for similar items in EconPapers)
Pages: 36 pages
Date: 2007-12
New Economics Papers: this item is included in nep-ino and nep-knm
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Related works:
Journal Article: MEASURING INTERSECTORAL KNOWLEDGE SPILLOVERS: AN APPLICATION OF SENSITIVITY ANALYSIS TO ITALY (2009)
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Persistent link: https://EconPapers.repec.org/RePEc:csc:cerisp:200711

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