Spatial Modelling: Conceptual, Mathematical and Computational Challenges

Wilson, Alan

doi:10.1007/978-3-642-59787-9_2

Cited by 3 publications

(1 citation statement)

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“…Finally, it may be worthwhile to explore the link of the resilience concept with other concepts currently appearing in spatial economics, like the concept of 'consilience' (Wilson, 1998), 'persistence' (Batabyal, 2000c), 'adaptive learning', 'learning behaviour', 'path dependence', 'emergence' (see, e.g., Arthur, 1994aArthur, , 1994bBatten, 2000;van Geenhuizen and Nijkamp, 1998;Holland, 1998;Kaufmann, 1995;Wilson, 2000), 'survival of the fittest' (Holland, 1975;Nijkamp and Reggiani, 1998;Reggiani et al, 2000), 'small-world phenomena' (Schintler and Kulkarni, 2000;Watts and Strogatz, 1998). In conclusion, more research is certainly needed, theoretically and methodologically, on the resilience concept, as well as on its integration with all the above mentioned approaches adopted in spatial economics.…”

Section: Ecological Resilience Engineering Resiliencementioning

confidence: 99%

Resilience: An Evolutionary Approach to Spatial Economic Systems

Reggiani

Graaff

Nijkamp

2004

Innovation, Space and Economic Development

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The concept of resilience has received a great deal of attention in the past decades. Starting from the first fundamental definitions offered by Holling, Pimms and Perrings in an economic-ecological modeling context, the present paper explores the 'evolution' of the resilience concept -as well as related different measures -in both a continuous and discrete time setting.From this perspective, the paper explores the relevance of the resilience concept in socioeconomic systems, by focussing the attention on the relationships among resilience, transition dynamics and lock-in effects, in particular in the light of the dynamics of technological innovation diffusion and adaptive behaviour of firms. In this framework we will describe an empirical application, in which the resilience and dynamics of the West-German labour market will be investigated. This empirical illustration is offered by making use of an algorithm constructed for detecting Lyapunov exponents, so as to classify the resilience among employment sectors in our case study.

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