MULTIFRACTAL CHARACTERIZATION OF SPATIAL INCOME CURDLING: THEORY AND APPLICATIONS uri icon

abstract

  • A spatial curdling index (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 C and measures of income inequality such as the Gini coefficient (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 C, a prototype of the empirical application is shown based on the Peruvian and Swedish income maps.

publication date

  • 2008
  • 2008