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| Content Provider | Springer Nature Link |
|---|---|
| Author | Carlei, V. Colantonio, E. Furia, D. Mattoscio, N. |
| Copyright Year | 2010 |
| Abstract | 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). |
| Starting Page | 157 |
| Ending Page | 171 |
| Page Count | 15 |
| File Format | |
| ISSN | 00335177 |
| Journal | Quality and Quantity |
| Volume Number | 45 |
| Issue Number | 1 |
| e-ISSN | 15737845 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2010-09-23 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Knowledge economy Sustainable development Pattern recognition SOM neural networks Social Sciences Methodology of the Social Sciences |
| Content Type | Text |
| Resource Type | Article |
| Subject | Statistics and Probability Social Sciences |
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