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Entropy 2015, 17(8), 5695-5710; doi:10.3390/e17085695

New Region Planning in France? Better Order or More Disorder?

1
School of Management, University of Leicester, University Road, Leicester LE1 7RH, UK
2
Humanities Group Associate Researcher, Royal Netherlands Academy of Arts and Sciences, Joan Muyskenweg 25, 1096 CJ Amsterdam, The Netherlands
3
GRAPES, Group of Researchers for Applications of Physics in Economy and Sociology, rue de la Belle Jardiniere 483, B-4031 Angleur, Belgium
Academic Editor: Kevin H. Knuth
Received: 24 June 2015 / Revised: 22 July 2015 / Accepted: 30 July 2015 / Published: 6 August 2015
View Full-Text   |   Download PDF [567 KB, uploaded 12 August 2015]   |  

Abstract

This paper grounds the critique of the reduction of regions in a country , not only in its geographical and social context but also in its entropic space. The various recent plans leading to the reduction of the number of regions in metropolitan France are discussed, based on the mere distribution in the number of municipalities in the plans and analyzed according to various distribution laws. Each case, except the present distribution with 22 regions, on the mainland, does not seem to fit presently used theoretical models. In addition, the number of inhabitants is examined in each plan. The same conclusion holds. Therefore, a theoretical argument based on entropy considerations is proposed, thereby pointing to whether more order or less disorder is the key question—discounting political considerations. View Full-Text
Keywords: France; regional planning; number of inhabitants; number of municipalities; entropy considerations France; regional planning; number of inhabitants; number of municipalities; entropy considerations
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Ausloos, M. New Region Planning in France? Better Order or More Disorder? Entropy 2015, 17, 5695-5710.

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