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

Leogrande, Angelo; Costantiello, Alberto; Laureti, Lucio

doi:10.2139/ssrn.4191575

Cited by 8 publications

(5 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• Medium and High-Tech Product Exports: refers to the export of media and other technology products as a percentage of total exports [15] . It is therefore a measure that shows the ability of the European Union to market its products and services with a high level of technological innovation and research and development at an international level.…”

Section: The Econometric Modelmentioning

confidence: 99%

The Impact of New Doctorate Graduates on Innovation Systems in Europe

Leogrande¹,

Costantiello²,

Laureti³

2022

SSRN Journal

Self Cite

View full text Add to dashboard Cite

Section: The Econometric Modelmentioning

confidence: 99%

The Impact of New Doctorate Graduates on Innovation Systems in Europe

Leogrande¹,

Costantiello²,

Laureti³

2022

SSRN Journal

Self Cite

View full text Add to dashboard Cite

“…This indicator considers the competitiveness of the knowledge-intensive service sector. The export of knowledgeintensive services is also generally associated with a high level of technological innovation present at country level and with significant investments in terms of Research and Development [22]. There is therefore a positive relationship between exports of knowledge-intensive services and the presence of high-level scientific publications.…”

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

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…This indicator considers the competitiveness of the knowledge-intensive service sector. The export of knowledge-intensive services is also generally associated with a high level of technological innovation present at country level and with significant investments in terms of Research and Development [22]. There is therefore a positive relationship between exports of knowledge-intensive services and the presence of high-level scientific publications.…”

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

confidence: 99%