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Multifractal Characterization Of Spatial Income Curdling: Theory And Applications

Author

Listed:
  • 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 Físicas, 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.

Suggested Citation

  • Francisco Rosales & Adolfo Posadas & Roberto Quiroz, 2008. "Multifractal Characterization Of Spatial Income Curdling: Theory And Applications," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(06), pages 861-874.
    • Handle: RePEc:wsi:acsxxx:v:11:y:2008:i:06:n:s0219525908001891
    DOI: 10.1142/S0219525908001891
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