On Potentialized Partial Finite Difference Equations: Analyzing The Complexity Of Knowledge-Based Spatial Economic Developments
Knowledge-based regional and urban studies are plentiful; some systematics might be in order at this junction, so first the different links between economic production units in geographical space have to be clearly defined. Then a tool to represent the dynamics of those links should be selected; potentialized partial differential equations (PPDEs) are an appropriate tool to represent space-time relations in pre-geographical space. In practice, however, only discrete data are available, hence the question of how finite differences could generate PPFDEs (potentialized partial finite difference equations). A case has been worked out and simulated, showing a high degree of spatio-temporal complexity. Spatial econometric estimation is possible, as other work has shown; so an application to empirical data for France could be presented. Different versions of the latter have been worked out; they are presented in succession, followed by a last exercise on US data.
Volume (Year): 29 (2009)
Issue (Month): ()
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- Riccardo Leoncini & Sandro Montresor, 2003. "Technological Systems and Intersectoral Innovation Flows," Books, Edward Elgar Publishing, number 2402, June.
- Johan F. Kaashoek & Jean H. P. Paelinck, 2001. "Potentialised partial differential equations in spatial economics: Some further results on the potentialising function," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 35(3), pages 463-482.
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