Quality & Quantity

, Volume 45, Issue 1, pp 157–171 | Cite as

Economic patterns of sustainable development: an analysis of absolute ecological footprint through self-organizing map

  • V. Carlei
  • E. Colantonio
  • D. Furia
  • N. Mattoscio


The aim of the present work is to demonstrate the relevance of some social-economic features as a complex factor for sustainable development. In particular we have considered the Absolute Ecological Footprint instead the Pro-Capita, as a better proxy in order to investigate Socio-Economic Patterns of sustainable development. We have also set out a methodology of non-linear analysis, based on Neural Networks Self Organizing Map in order to find relationship between the different kinds of Socio-Economic Patterns. The classic economic approach, indeed, cannot explain those patterns, cause they are dependent from its social and geographical context, in a complex and non-linear way by Carlei et al. (Scienze Regionali, 2008).


Knowledge economy Sustainable development Pattern recognition SOM neural networks 


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Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • V. Carlei
    • 1
    • 2
  • E. Colantonio
    • 1
  • D. Furia
    • 1
  • N. Mattoscio
    • 1
  1. 1.Department of Quantitative Methods and Economic Theory (DMQTE)University of Chieti-PescaraPescaraItaly
  2. 2.SemeionRomeItaly

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