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This paper explores a single-parameter generalization of the Gini inequality measure. Taking the starting point to be the Borda-type social welfare function, which is known to generate the standard Gini measure, in which incomes (in ascending order) are weighted by their inverse rank, the generalisation uses a class of non-linear functions. These are based on the so-called 'metallic sequences' of number theory, of which the Fibonacci sequence is the best-known. The value judgements implicit in the measures are explored in detail. Comparisons with other well-known Gini measures, along with the Atkinson measure, are made. These are examined within the context of the famous 'leaky bucket' thought experiment, which concerns the maximum leak that a judge is prepared to tolerate, when making an income transfer from a richer to a poorer person. Inequality aversion is thus viewed in terms of being an increasing function of the leakage that is regarded as acceptable. [ABSTRACT FROM AUTHOR]

The search for equity in science policy (in terms of territory, gender and other inequalities of opportunity) faces strong tensions with academic excellence, autonomy and meritocracy, which ultimately tend to concentration. Integrating different but related approaches and concepts, this article proposes an analytical framework to study the evolution of scientific policies, instruments or organizations through the lens of these tensions. The utility of this framework is illustrated by a case study of the Argentine National Scientific and Technical Research Council (CONICET in Spanish) and its scientific researcher career, with a focus on the deconcentration initiatives during the 2010-2022 period. This comprehensive perspective shows how tensions and contradictions translate into frequent marches and countermarches, turning the career calls into an incoherent set of layers, rationales, objectives and impacts, which counteract each other and tend to perpetuate rather than diminish territorial inequalities. Beyond this particular case study, we hope that this approach can be adapted in future research to examine other science policies and institutions, in order to identify and highlight the internal tensions that could interfere with some of the intended (equity) objectives. [ABSTRACT FROM AUTHOR]

Cross-regional allocation is necessary for the rational utilization and optimal allocation of resources. It is also the key to effective and sustainable disaster relief. Existing research, however, generally centers on emergency resource allocation only within territories or regions. This article proposes a multiperiod allocation optimization model for emergency resources based on regional self-rescue and cross-regional collaborative rescue efforts. The model targets the shortest delivery time and lowest allocation costs as its efficiency goals and the maximum coverage rate of resource allocation in the disaster-affected locations as its equity goal. An objective weighting fuzzy algorithm based on two-dimensional Euclidean distance is designed to solve the proposed model. A case study based on the Wenchuan Earthquake of 12 May 2008 was conducted to validate the proposed model. The results indicate that our proposed model allows for optimal, multiperiod cross-regional resource allocation by combining interterritorial and nearby allocation principles. Cross-regional relief makes resource allocation more equitable, minimizes dissatisfaction, and prevents losses. Different decision preferences appear to significantly affect the choice of resource allocation scheme employed, which provides flexibility for decision making in different emergencies. [ABSTRACT FROM AUTHOR]