In this work we analyze the evolution of productivity, in terms of the convergence of per capita income, of all the Spanish provinces, based on data from the previous decade. On the one hand, a cluster analysis allows us to group the Spanish provinces according to four income levels (low,...

The interest in clusters in the economy and regional space, which has persisted for nearly three decades, has reignited the understanding of the economy as a system of interdependencies between industries. Although the concept of clusters can be traced back to contributions dating from the early...

This study analysed the determining factors of the concentration of "superstar firms" in specific economies, with a focus on the interaction between technological innovation, economic development, and market structures. Using global data from Statista on superstar firms for the year 2022,...

Purpose - The purpose of this research is to develop a set of policies to solve the decarbonization issues of container terminal clusters. Design/methodology/approach - This research used the system dynamics approach to develop an integrated multi-issue policy model. Findings - We found that the...

Malnutrition poses significant challenges to African food systems. Addressing these challenges requires synergistic strategies informed by a comprehensive understanding of consumers' food preferences and characteristics, which necessitates the identification of more homogeneous consumer groups....

Almost every food retailer offers them - temporary loyalty programs (TLPs). TLPs aim to enhance customer loyalty by offering enticing, product-based incentives. However, an emerging concern arises regarding the sustainability impact of these programs, and consumers have started questioning the...

Slovenia and other EU member states are subject to the Macroeconomic Imbalances Procedure. This article aims to evaluate the macroeconomic imbalances of the Slovenian economy and its synchronisation with other EU countries from 2013 to 2022. Eleven Scoreboard indicators are used to monitor...

We analyze a large panel of units grouped by shared extreme value indices (EVIs) and aim to identify these unknown groups. To achieve this, we order the Hill estimates of individual EVIs and segment them by minimizing the total squared distance between each estimate and its corresponding group...

Virtual Reality (VR) holds immense potential to revolutionize the tourism industry by transforming how destinations are marketed and experienced. Research consistently emphasizes VR's ability to enhance and enrich tourist experiences, offering new dimensions of engagement. However, despite its...

Investigating how systemic risk originates and spreads across the financial system poses an inherently compositional question, i.e., a question concerning the joint distribution of relative risk share across several interdependent contributors. To address this question, we propose a weighted...

In an era of the overlapping effects of the Covid pandemic and the conflict in Ukraine, it is worth taking a closer look at the markets that focus on risk management, that is, the insurance market, in terms of its further organization and development. The aim of the paper is to examine how the...

The ongoing decline in environmental quality is one of the biggest global challenges facing humankind today. The purpose of this study is to investigate the differences and similarities among the EU-27 countries regarding air pollution emissions (greenhouse gases and acidifying gases) and their...

The general aim of the article is to verify the extent of labor market slack at three moments considered crucial when analyzing labor market changes caused by the COVID-19 pandemic. The main goal is to identify similarities and differences between EU countries grouped into clusters identified...

In recent years, the transnational and regional dimensions of tourism have strengthened. Unlike in the past, we can now consider regional tourism policies, such as innovation policies. The recent creation of the UN Tourism Office for the Americas is a step in this direction. Within this...

Clusters are groups of specialised enterprises - often SMEs - and supporting actors, such as public authorities, universities, technology centres, vocational and training institutions, and more, which cooperate closely in a particular location. Cluster organisations are legal entities that...

Clusters are groups of specialised enterprises - often SMEs - and supporting actors, such as public authorities, universities, technology centres, vocational and training institutions, and more, which cooperate closely in a particular location. Cluster organisations are legal entities that...

We consider a linear panel data model with nonseparable two-way unobserved heterogeneity corresponding to a linear version of the model studied in Bonhomme et al. (2022). We show that inference is possible in this setting using a straightforward two-step estimation procedure inspired by existing...

The K-means algorithm and its variants are well-known clustering techniques. In actuarial applications, these partitioning methods can identify clusters of policies with similar attributes. The resulting partitions provide an actuarial framework for creating maps of dominant risks and...

Since its inception in 2009, Bitcoin has become and is currently the most successful and widely used cryptocurrency. It introduced blockchain technology, which allows transactions that transfer funds between users to take place online, in an immutable manner. No real-world identities are needed...

The evolution of industrial clusters has received much attention in the recent literature on evolutionary economic geography (EEG) and regional science. However, scientific results on the influence of different factors on the decline or renewal of mature industrial clusters are scarce....

This study investigates the landscape of cyber-financial risks across Europe by identifying distinct risk profiles based on financial literacy, digital comfort, and economic vulnerability. Utilizing data from the Flash Eurobarometer 525 survey, we employ K-means cluster analysis to categorize...

Purpose: Automatic grouping of data according to certain characteristics is made possible by clustering algorithms, which makes them an essential tool when working with large datasets. However, although they are unsupervised tools, they generally require the specification of the number of...