The Exports of Knowledge Intensive Services. A Complex Metric Approach

Angelo Leogrande, Alberto Costantiello () and Lucio Laureti

MPRA Paper from University Library of Munich, Germany

Abstract: In the following article, the value of the "Knowledge Intensive Services Exports in Europe" in 36 European countries is estimated. The data were analyzed through a set of econometric models or: Poled OLS, Dynamic Panel, Panel Data with Fixed Effects, Panel Data with Random Effects, WLS. The results show that “Knowledge Intensive Services Exports” is negatively associated, among others, with "Buyer Sophistication", "Government Procurement of Advanced Technology Products", and positively associated with the following variables i.e. "Innovation Index", "Sales Impacts" and "Total Entrepreneurial Activity". Then a clusterization with k-Means algorithm was made with the Elbow method. The results show the presence of 3 clusters. A network analysis was later built and 4 complex network structures and three structures with simplified networks were detected. To predict the future trend of the variable, a comparison was made with eight different machine learning algorithms. The results show that prediction with Augmented Data-AD is more efficient than prediction with Original Data-AD with a reduction of the mean of statistical errors equal to 55,94%.

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: 2022-06-11
New Economics Papers: this item is included in nep-big, nep-cse, nep-ino, nep-int, nep-knm, nep-net and nep-sbm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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