FRANCISCO ROSALES () (Production Systems and the Environment Division, International Potato Center, Av. La Molina 1895, Lima 12, Peru) ADOLFO POSADAS () (Production Systems and the Environment Division, International Potato Center, Av. La Molina 1895, Lima 12, Peru; Facultad de Ciencias FÃsicas, DAFI, Universidad Nacional Mayor de San Marcos, Av. Venezuela Cdra 4, Lima 1, Peru) ROBERTO QUIROZ () (Production Systems and the Environment Division, International Potato Center, Av. La Molina 1895, Lima 12, Peru)
Abstract
A spatial curdling index $(\mathcal{C})$ is presented for studying income concentration in two-dimensional fields originated by a cascade process, resembling resource allocation maps. Computational simulations of spatial distributions show that the relation between $\mathcal{C}$ and measures of income inequality such as the Gini coefficient $(\mathcal{G})$ forms a concave area. Acknowledgment of this fact brings additional information for formulating geopolitical strategies for income inequality reduction, and for comparison purposes in a set of countries or across time within a country. With the aim of showing the importance of index $\mathcal{C}$, a prototype of the empirical application is shown based on the Peruvian and Swedish income maps.
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