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Industry Spillovers Effects on Productivity of Large International Firms

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  • Aldieri, Luigi
  • Vinci, Concetto Paolo

Abstract

The aim of this paper is to explore the impact of intra- and inter-industry spillover components on productivity of large International firms. We use data from all EU R&D investment scoreboards editions issued every year until 2011 by the JRC-IPTS (scoreboards). The analysis is based upon a new dataset composed of 879 worldwide R&D-intensive manufacturing firms whose information has been collected for the period 2002-2010. Given the panel data structure of the sample, ad hoc econometric techniques that deal with both firm’s unobserved heterogeneity and weak exogeneity of the right hand-side variables are implemented. The main contribution to the literature is that of further investigating the industry spillovers at firm level within the Triad for a period of time that considers also the economic crisis. In order to measure the distribution of the firm’s research interests through the different technological areas, we use the patent distribution over technological sectors according to the International Patent Classification (IPC). The patent distribution relies on the whole number of patent applications filed to the European Patent Office until 2011. The empirical results suggest a significant impact of R&D spillover effects on firms’ productivity but the results are quite differentiated according to the spillover stock type and this may represent a relevant source of policy implications.

Suggested Citation

  • Aldieri, Luigi & Vinci, Concetto Paolo, 2015. "Industry Spillovers Effects on Productivity of Large International Firms," MPRA Paper 62429, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:62429
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    Cited by:

    1. Aldieri, Luigi & Vinci, Concetto Paolo, 2015. "R&D Migration: a cross-national analysis," MPRA Paper 62541, University Library of Munich, Germany.
    2. Aldieri, Luigi & Aprile, Maria Carmela & Vinci, Concetto Paolo, 2015. "R&D Spillovers Effects on strategic behaviour of Large International Firms," MPRA Paper 63402, University Library of Munich, Germany.

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    More about this item

    Keywords

    Panel Data Models; R&D Spillovers; Total Factor Productivity growth;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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