The Employment in Innovative Enterprises in Europe

Laureti, Lucio; Costantiello, Alberto; Matarrese, Marco; Leogrande, Angelo

doi:10.2139/ssrn.4010098

Cited by 11 publications

(8 citation statements)

References 14 publications

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“…This relationship can be understood considering that to produce products for export, it is necessary to invest in research and development. The fact that there is employment in the knowledge-intensive services sector, although appreciable, does not impact on the ability of firms to export [34].…”

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

confidence: 89%

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: 89%

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

Leogrande¹,

Costantiello²,

Laureti³

2022

SSRN Journal

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“…This report highlights the fact that a tech-oriented industry that hires employees is not necessarily also able to support a highlevel research system. In this sense it would be necessary to increase the relations between the industrial system and the research system to ensure that there are outputs that can also be evaluated in the sense of high-level scientific publications [29]. • International Co-Publications: is an indicator that considers the number of scientific publications in which at least one of the authors is foreign as the numerator and the total population as the denominator.…”

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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“…In fact, manufacturing companies are generally very favorable to both process and product innovations. A favorable environment for technological innovation is therefore created, which is well connected to the possibility of generating high-knowledge services aimed at exports [20]. • Innovation index: is the composite indicator that calculates the degree of innovation of the countries.…”

Section: The Econometric Modelmentioning

confidence: 99%