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Technological Spillovers Through A Patent Citation Analysis

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  • LUIGI ALDIERI

    (Department of Business and Economic Studies, University of Naples Parthenope, Italy)

  • CONCETTO PAOLO VINCI

    (#x2020;Department of Economic and Statistic Sciences, University of Salerno, Fisciano, Italy)

Abstract

The aim of this paper is to analyse the pattern of knowledge flows as evidenced by the patent citations in three economic areas: USA, Japan and Europe. In each economic area, we exploit information from two international patent offices data, the United States Patent and Trademarks Office (USPTO) data and the European Patent Office (EPO) data. In this way, we can investigate the link between the technological proximity and knowledge spillovers for 240 international firms. In particular, the contribution to the existing literature is twofold: First, we use an international sample so that we can compare the empirical results among different economic markets; second, we explore the robustness of results with respect to patent system features. In order to compute the technological proximity, we consider both the symmetrical measure and asymmetrical one. The empirical results indicate that there is a statistically significant correlation between technological proximity and knowledge spillovers measured by patent citations and that these results are robust with respect to patent office data used in the analysis.

Suggested Citation

  • Luigi Aldieri & Concetto Paolo Vinci, 2016. "Technological Spillovers Through A Patent Citation Analysis," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-23, February.
    • Handle: RePEc:wsi:ijimxx:v:20:y:2016:i:02:n:s1363919616500286
    DOI: 10.1142/S1363919616500286
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    Citations

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    Cited by:

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    3. Luigi Aldieri & Concetto Paolo Vinci, 2017. "Quantile Regression for Panel Data: An Empirical Approach for Knowledge Spillovers Endogeneity," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(7), pages 106-113, July.
    4. Manuel Acosta & Daniel Coronado & Esther Ferrándiz & Manuel Jiménez, 2022. "Effects of knowledge spillovers between competitors on patent quality: what patent citations reveal about a global duopoly," The Journal of Technology Transfer, Springer, vol. 47(5), pages 1451-1487, October.
    5. Aldieri, Luigi & Makkonen, Teemu & Paolo Vinci, Concetto, 2020. "Environmental knowledge spillovers and productivity: A patent analysis for large international firms in the energy, water and land resources fields," Resources Policy, Elsevier, vol. 69(C).
    6. Aldieri, Luigi & Kotsemir, Maxim & Vinci, Concetto Paolo, 2017. "The impact of research collaboration on academic performance: An empirical analysis for Russian Universities," MPRA Paper 76408, University Library of Munich, Germany.
    7. Mafini Dosso & Didier Lebert, 2019. "A geography of corporate knowledge flows across world regions: evidence from patent citations of top R&D-investing firms," JRC Working Papers on Corporate R&D and Innovation 2019-03, Joint Research Centre.

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