This article addresses conceptual shortcomings in recent literature on coalitional TU-games. We revisit and partly redefine key notions such as coalition, coalition function, efficiency, and duality, emphasizing their dependence on the class of TU-games under scrutiny. Unlike approaches that...

The well-known cooperative game solution core, with its strict stability requirement, provides no solution for non-balanced games. Subiza et al. (2025) relaxes the stability concept of the core and proposes δ-stable set, a non-empty solution for every essential TU-game. However, their approach...

This briefing summarises the evaluation of hundreds of data deliveries received from reporting countries for 13 Eionet core data flows. It shows progress against agreed reporting criteria, allowing countries to identify and prioritise the resources they need for regular reporting procedures.

In two-sided markets with money, core stability and marginalism are often in conflict. We reconcile them with two main results. First, we show that in the assignment game (Shapley & Shubik, 1972), the Banzhaf value is core stable if and only if the game is exact. This is surprising for two...

This paper studies a simple process of demand adjustment in cooperative games. In the process, a randomly chosen player makes the highest possible demand subject to the demands of other coalition members being satisfied. This process converges to the aspiration set; in convex games, this implies...

The European Environment Information and Observation Network (Eionet) is a partnership network of the EEA and its member and cooperating countries. This briefing presents the results of data collected in 2023 for 12 Eionet core data flows. It summarises the evaluation of hundreds of data...

The European Environment Information and Observation Network (Eionet) is a partnership network of the EEA and its member and cooperating countries. This briefing presents the results of data collected in 2023 for 12 Eionet core data flows. It summarises the evaluation of hundreds of data...