The impact of patent applications on technological innovation in European countries

Angelo Leogrande, Alberto Costantiello () and Lucio Laureti

MPRA Paper from University Library of Munich, Germany

Abstract: We investigate the innovational determinants of “Patent Applications” in Europe. We use data from the European Innovation Scoreboard-EIS of the European Commission for 36 countries in the period 2010-2019. We use Panel Data with Fixed Effects, Panel Data with Random Effects, Pooled OLS, WLS and Dynamic Panel. We found that the variables that have a deeper positive association with “Patent Applications” are “Human Resources” and “Intellectual Assets”, while the variables that show a more intense negative relation with Patent Applications are “Employment Share in Manufacturing” and “Total Entrepreneurial Activity”. A cluster analysis with the k-Means algorithm optimized with the Silhouette Coefficient has been realized. The results show the presence of two clusters. A network analysis with the distance of Manhattan has been performed and we find three different complex network structures. Finally, a comparison is made among eight machine learning algorithms for the prediction of the future value of the “Patent Applications”. We found that PNN-Probabilistic Neural Network is the best performing algorithm. Using PNN the results show that the mean future value of “Patent Applications” in the estimated countries is expected to decrease of -0.1%.

Keywords: innovation and invention; processes and incentives; management of technological innovation and R&D; diffusion processes; open innovation (search for similar items in EconPapers)
JEL-codes: O30 O31 O32 O33 O34 (search for similar items in EconPapers)
Date: 2022-11-12
New Economics Papers: this item is included in nep-big, nep-cse, nep-eec, nep-ipr, nep-sbm and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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