This article describes how data is relevant and if it can be organized, linked with other data and grouped into a cluster. Clustering is the process of organizing a given set of objects into a set of disjoint groups called clusters. There are a number of clustering algorithms like k-means,...

The aim of this work is to (1) analyse whether countries differ on political indicators (democracy, rule of law, government effectiveness and corruption) and (2) study whether countries with different political profiles are associated with different levels of economic, human development and...

The aim of the paper is to identify groups of banks with similar environmental commitment, taking into account their direct environmental impact. The study, which employs the aggregation method, reveals that small banks with a relatively worse financial standing are characterised by the lowest...

An increasing body of recent literature focuses on how stock market investor sentiment fluctuates during the pandemic. However, a topic insufficiently addressed is related to investigating the changes occurred in the economic sentiment and expectations during COVID-19 pandemic, as a broader...

Applying clustering techniques, this paper identifies homogeneous groups of enterprises within the heterogeneous landscape of the italian manufacturing tissue. The algorithm will be fed with data from a survey on a cross-section of SMEs in 2019. The set of questions span from economic and...

Lagging regions differ in their characteristics, implying a need for tailor-made policy measures to improve the economic situation in these regions. However, while there are differences between these regions, certain "archetypes" of regions might exist that share the same obstacles to...