The Intellectual Assets in Europe

Costantiello, Alberto; Laureti, Lucio; Leogrande, Angelo

doi:10.2139/ssrn.3956755

Cited by 20 publications

(13 citation statements)

References 21 publications

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“…There is a positive relationship between the value of trademark applications and exports of medium and high technology products manufactured in Europe. This positive relationship can be understood considering that generally the companies that export also invest heavily in marketing, on the brand, on packaging, or on all those elements of product and company recognition, which are connected to the brand, which allow to develop market relations with foreign customers [22]. • SMEs innovating in-house: is a variable that considers small and medium-sized enterprises that carry out technological innovation activities internally.…”

Section: Econometric Model For the Estimation Of The Export Of Medium...mentioning

confidence: 99%

The Export of Medium and High-Tech Products Manufactured in Europe

Leogrande¹,

Costantiello²,

Laureti³

2022

SSRN Journal

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Section: Econometric Model For the Estimation Of The Export Of Medium...mentioning

confidence: 99%

The Export of Medium and High-Tech Products Manufactured in Europe

Leogrande¹,

Costantiello²,

Laureti³

2022

SSRN Journal

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“…However, this human capital is not necessarily capable of producing internationally cited scientific publications. In fact, to obtain the output of having scientific publications cited worldwide, it is necessary to invest not only in human capital and intellectual capital, but above all it is necessary to invest in universities and in the competitiveness of national research systems [37]. • Private Co-Funding of Public R&D Expenditures: is an indicator that measures private co-financing of public spending in terms of Research and Development as a percentage of GDP.…”

Section: Econometric Model To Estimate the Determinants Of Most Cited...mentioning

confidence: 99%

K-Means Clusterization and Machine Learning Prediction of European Most Cited Scientific Publications

Leogrande¹,

Costantiello²,

Laureti³

2022

Preprint

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In this article we investigate the determinants of the European “Most Cited Publications”. We use data from the European Innovation Scoreboard-EIS of the European Commission for the period 2010-2019. Data are analyzed with Panel Data with Fixed Effects, Panel Data with Random Effects, WLS, and Pooled OLS. Results show that the level of “Most Cited Publications” is positively associated, among others, to “Innovation Index” and “Enterprise Birth” and negatively associated, among others, to “Government Procurement of Advanced Technology Products” and “Human Resources”. Furthermore, we perform a cluster analysis with the k-Means algorithm either with the Silhouette Coefficient and the Elbow Method. We find that the Elbow Method shows better results than the Silhouette Coefficient with a number of clusters equal to 3. In adjunct we perform a network analysis with the Manhattan distance, and we find the presence of 4 complex and 2 simplified network structures. Finally, we present a confrontation among 10 machine learning algorithms to predict the level of “Most Cited Publication” either with Original Data-OD either with Augmented Data-AD. Results show that the best machine learning algorithm to predict the level of “Most Cited Publication” with Original Data-OD is SGD, while Linear Regression is the best machine learning algorithm for the prediction of “Most Cited Publications” with Augmented Data-AD.

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“…However, this human capital is not necessarily capable of producing internationally cited scientific publications. In fact, to obtain the output of having scientific publications cited worldwide, it is necessary to invest not only in human capital and intellectual capital, but above all it is necessary to invest in universities and in the competitiveness of national research systems [37]. This variable therefore seeks to verify the impact of private funding on the research and development sector.…”

Section: Econometric Model To Estimate the Determinants Of Most Cited...mentioning

confidence: 99%