Acquiring skilled workers can be a key comparative advantage for firms. However, this process involves much uncertainty that firms need to navigate. Leveraging managers' social networks can help reduce search frictions, improve match quality, and boost firm performance. In this paper, we...

This edition of the EU CAP Network magazine focuses on the economic, social and environmental dimensions of climate adaptation, highlighting the role of networking in supporting sustainable agriculture and rural responses to climate change.

This edition of the EU CAP Network magazine focuses on the economic, social and environmental dimensions of climate adaptation, highlighting the role of networking in supporting sustainable agriculture and rural responses to climate change.

This study examines the evolution of public debt among the 27 EU member states using Graph Theory tools; the Threshold Weighted-Minimum Dominating Set (TW-MDS) and the k-core decomposition method, alongside a standard network quantitative metric, the density. By separating the data into three...

In this paper, we explore the relationship between node nestedness contribution and network stability in financial networks. We rely on data from the Brazilian interbank market. For each bank in the network, we computed the individual nestedness contribution (INC), along with two measures of...

Surnames with a higher presence of overseas Chinese in the same region exhibit the following characteristics: (1) better housing conditions, but no significant improvement in educational attainment or labor income; (2) a higher likelihood of economic dependency on other family members; (3) lower...

The primary objective of this empirical study is to investigate the Indian equity market network by analyzing its topological properties using the disparity filtering technique, and a minimum spanning tree. It investigates the backbone structure of the reduced weighted equity network and...

This paper develops a mathematical framework to study signal networks, in which nodes can be active or inactive, and their activation or deactivation is driven by external signals and the states of the nodes to which they are connected via links. The focus is on determining the optimal number of...

The rapid evolution of digital transformation necessitates a comprehensive understanding of national digital readiness. The Network Readiness Index (NRI) serves as a key benchmark for assessing a country's preparedness to leverage digital technologies for economic and societal development. This...

Efficient identification of critical links in urban road networks is essential for optimizing traffic management, infrastructure planning, and resource allocation. Existing methods, such as simulation-based approaches, are computationally expensive and often impractical for large-scale networks....

Payments technologies pose an economic dilemma: network effects can lead to a small number of dominant platforms, but efforts to increase choice can risk market fragmentation. We examine whether interoperability can help resolve this tension, using data from India's Unified Payments...

The impact of current changes in technology, society, and the environment demand innovative research approaches that can accurately capture the increasing complexity of modern geographic data. To this end, this article provides an introduction to the use and implementation of spatial network...

In the burgeoning field of anomaly detection within attributed networks, traditional methodologies often encounter the intricacies of network complexity, particularly in capturing nonlinearity and sparsity. This study introduces an innovative approach that synergizes the strengths of graph...

Liberalisation and decarbonisation have transformed energy system coordination from internal engineering to a complex economic and digital challenge. Liberalisation replaced vertically integrated utilities with fragmented interactions among transmission operators, distribution operators,...

We conduct an artefactual field experiment in real-existing trade networks to analyze how individual network degree affects bargaining demands and outcomes. We combine data from a bilateral bargaining experiment with data of trade networks in 24 villages in Uganda. To identify the effect of...

We study static binary coordination games with random utility played on networks. In equilibrium, each agent chooses an action only if a fraction of her neighbors choosing the same action is higher than an agent‐specific i.i.d. threshold. A fuzzy convention x is a profile where (almost) all...

Trade flows are the result of the interaction between buyers and sellers. Understanding how these firm-to-firm relationships form, survive, and evolve over time helps identify how countries can improve their export outcomes. Using a very granular dataset of United States import transactions from...

Market definition is essential for antitrust analysis, but challenging in settings with network effects, where substitution patterns depend on changes in network size. To address this challenge, we conduct an incentivized experiment to measure substitution patterns for TikTok, a popular social...

Against the backdrop of production and sales globalization, a country can utilize its trade network position to secure greater benefits from international trade and gradually enhance its economic and trade influence. This process is inseparable from the rational allocation of production factors....