International Scientific Co-Publications in Europe

Angelo Leogrande, Alberto Costantiello (), Lucio Laureti and Marco Maria Matarrese

MPRA Paper from University Library of Munich, Germany

Abstract: The determinants of “International Scientific Co-Publications” in Europe are analyzed in the following article. Data from the European Innovation Scoreboard-EIS of the European Union for 36 countries in the period 2010-2019 were used. The data were analyzed using Panel Data with Fixed Effects, Panel Data with Random Effects, Pooled OLS, WLS, Dynamic Panel. The results show that the variable “International Scientific Co-Publication” is negatively associated with “Employment Share Manufacturing”, “Intellectual Assets”, “Turnover Share Large Enterprises”, “Linkages” and positively associated with “SMEs innovating in house”, “Trademark Applications”, “Human Resources”, “Publicprivate co-publications”, “Attractive Research Systems”, “Government procurement of advanced technology products”, “Turnover Share SMEs”. Then, a clustering analysis is realized with the algorithm k-Means. The Silhouette Coefficient and the Elbow Method are confronted to optimize the k-Means algorithm. The results show that the Elbow method is more efficient than the Silhouette coefficient in identifying the optimal number of clusters corresponding to k = 4 with the k-Means algorithm. A network analysis was then carried out using the “Manhattan Distance”. The analysis shows the presence of 9 network structures of which 5 are complex i.e., with a number of linkages greater than 3, and 4 are basic i.e. consist of a single link between two countries. Furthermore, we confront eight different machine learning algorithms to predict the future level of “International Scientific Co-Publications”. We found that the best algorithm in performing prediction with original data is the Tree Ensemble Regression. The predicted value of “International Scientific Co-Publication” is expected to growth by 0.61%.

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: O3 O30 O31 O32 O33 O34 (search for similar items in EconPapers)
Date: 2022-05-24
New Economics Papers: this item is included in nep-cse, nep-net and nep-sbm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:113162

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