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Inventors Dynamics in Balkanic Area: Evidences by a Network Analysis

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Listed:
  • T. Ciano

  • P. Fotia

  • B. A. Pansera

  • M. Ferrara

Abstract

Patent data is a key source of information for innovation economists. In recent decades it has been possible to observe its significant diffusion and success mainly thanks either to archives digitization or to authorities’ greater openness with respect to patent granting procedure. Furthermore, the use of this information over time has not been limited to simple statistics on patents and their classification, but, going further, has extended to the analysis of applicants, inventors, citations, and much more. By this seminal paper, we are going to analyze starting from Data analysis related to a selection of Balkanic Countries, chosen among the most dynamic in innovation process and production of patents: Croatia, Serbia, and Bosnia and Herzegovina. How it will explain into the work, this selection was not accidental: the aim was to represent the evolution of these Countries, in terms of patent internationalization, depending on their “link†with the European Union, not all Western Balkan Countries are in fact part of it. Croatia, an official EU member since 2012, was chosen as the representative state of European influence. Some interesting results were obtained with a novel approach by social network analysis techniques.

Suggested Citation

  • T. Ciano & P. Fotia & B. A. Pansera & M. Ferrara, 2021. "Inventors Dynamics in Balkanic Area: Evidences by a Network Analysis," Economics of Science, Delo Publishing house, vol. 7(4).
    • Handle: RePEc:abz:journl:y:2021:id:335
    DOI: 10.22394/2410-132X-2021-7-4-230-242
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    References listed on IDEAS

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    1. Crescenzi, Riccardo & Nathan, Max & Rodríguez-Pose, Andrés, 2016. "Do inventors talk to strangers? On proximity and collaborative knowledge creation," Research Policy, Elsevier, vol. 45(1), pages 177-194.
    2. Ji-ping Gao & Cheng Su & Hai-yan Wang & Li-hua Zhai & Yun-tao Pan, 2019. "Research fund evaluation based on academic publication output analysis: the case of Chinese research fund evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 959-972, May.
    3. Young-Ho Eom & Santo Fortunato, 2011. "Characterizing and Modeling Citation Dynamics," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-7, September.
    4. Brennecke, Julia & Rank, Olaf, 2017. "The firm’s knowledge network and the transfer of advice among corporate inventors—A multilevel network study," Research Policy, Elsevier, vol. 46(4), pages 768-783.
    5. Neus Palomeras & Eduardo Melero, 2010. "Markets for Inventors: Learning-by-Hiring as a Driver of Mobility," Management Science, INFORMS, vol. 56(5), pages 881-895, May.
    6. Yves Gingras & Vincent Larivière & Benoît Macaluso & Jean-Pierre Robitaille, 2008. "The Effects of Aging on Researchers' Publication and Citation Patterns," PLOS ONE, Public Library of Science, vol. 3(12), pages 1-8, December.
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