MULTIFRACTAL CHARACTERIZATION OF SPATIAL INCOME CURDLING: THEORY AND APPLICATIONS

Francisco Rosales (), Adolfo Posadas () and Roberto Quiroz ()
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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;
Roberto Quiroz: Production Systems and the Environment Division, International Potato Center, Av. La Molina 1895, Lima 12, Peru

Advances in Complex Systems (ACS), 2008, vol. 11, issue 06, 861-874

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.

Keywords: Resource allocation maps; cascade processes; Gini coefficient (search for similar items in EconPapers)
Date: 2008
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DOI: 10.1142/S0219525908001891

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