Advertisement

Networks and Spatial Economics

, Volume 2, Issue 2, pp 211–229 | Cite as

Resilience: An Evolutionary Approach to Spatial Economic Systems

  • Aura Reggiani
  • Thomas De Graaff
  • Peter Nijkamp
Article

Abstract

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 socio-economic 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.

resilience dynamics labour market 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Arthur, W.B. (1994a). Increasing Returns and Path Dependence in the Economy. Ann Arbor: University of Michigan Press.Google Scholar
  2. Arthur, W.B. (1994b). “Inductive Behaviour and Bounded Rationality.” American Economic Review 84, 406-411.Google Scholar
  3. Batabyal, A.A. (1998). “The Concept of Resilience: Retrospect and Prospect.” Environment and Development Economics 3, 235-239.Google Scholar
  4. Batabyal, A.A. (1999a). “The Stability of Stochastic Systems: The Case of Persistence and Resilience.” Mathematical and Computer Modelling 30, 27-34.Google Scholar
  5. Batabyal, A.A. (1999b). “Contemporary Research in Ecological Economics: Five Outstanding Issues.” International Journal of Ecology and Environmental Sciences 25, 143-154.Google Scholar
  6. Batabyal, A.A. (1999c). “Species, Substitutability, Resilience, and the Optimal Management of Ecological-Economic Systems.” Mathematical and Computer Modelling 29, 35-43.Google Scholar
  7. Batabyal, A.A. (2000a). “Quantifying the Transient Response of Ecological-Economic Systems to Perturbations.” Environmental Impact Assessment Review 20, 125-133.Google Scholar
  8. Batabyal, A.A. (2000b). “An Analysis of Persistence, Resilience, and the Conservation of Keystone Species.” International Journal of Ecology and Environmental Sciences 26, 1-10.Google Scholar
  9. Batabyal, A.A. (2000c). “Aspects of Ecosystem Persistence and the Optimal Conservation of Species.” International Review of Economics and Finance l.9, 69-77.Google Scholar
  10. Batten, D. (2000). “Complex Landscapes of Spatial Interaction.” In A. Reggiani (ed.), Spatial Economic Science: New Frontiers in Theory and Methodology. Berlin: Springer-Verlag, 51-74.Google Scholar
  11. Bergh, J.C.J.M. van den and J.M. Gowdy. (2000). “Evolutionary Theories in Environmental and Resource Economics: Approaches and Applications.” Environmental and Resource Economics 17, 37-57.Google Scholar
  12. Brock, W.A. (1986). “Distinguishing Random and Deterministic Systems. Abridged Version.” Journal of Economic Theory 40, 168-195.Google Scholar
  13. Dalmazzone, S. (1998). “Economic Activities and the Resilience of Ecological Systems: A Stochastic Approach.” Working Paper, N. 55, CEIS (Center for International Studies and Economic Growth), University of “Tor Vergata”, Rome.Google Scholar
  14. Donaghy, K.P. (2000). “Generalized Stability Analysis of a Non-Linear Dynamic Model.” In A. Reggiani (ed.), Spatial Economic Science: New Frontiers in Theory and Methodology. Berlin: Springer-Verlag, 243-257.Google Scholar
  15. Geenhuizen, M. van and P. Nijkamp. (1998). “The Learning Capability of Regions: Patterns and Policies.” Department of Spatial Economics, Amsterdam: Free University.Google Scholar
  16. Grassberger, P. and I. Procaccia. (1983). “Measuring the Strangeness of Strange Attractors.” Physica9D 189-208.Google Scholar
  17. Gunderson, L. and C.S. Holling (eds.) (2001). Panarchy: Understanding Transformations in Systems of Human and Nature. Covelo: CA, Island Press.Google Scholar
  18. Holland, J.H. (1975). Adaptation in Natural and Artificial Systems. Ann Arbor: University of Michigan Press.Google Scholar
  19. Holland, J.H. (1998). Emergence: From Chaos to Order. Reading, Mass: Addison-Wesley.Google Scholar
  20. Holling, C.S. (1973). “Resilience and Stability of Ecological Systems.” Annual Review of Ecological Systems 4, 1-24.Google Scholar
  21. Holling, C.S. (1986). “The Resilience of Terrestrial Ecosystems: Local Surprise and Global Change.” In W.C. Clarck and R.E. Munn (eds.), Sustainable Development of the Biosphere. Cambridge: Cambridge University Press, 292-317.Google Scholar
  22. Holling, C.S. (1992). “Cross-Scale Morphology Geometry and Dynamics of Ecosystems.” Ecological Monographs 62, 447-502.Google Scholar
  23. Holzfuss, J. and W. Lauterborn. (1988). “Liapunov Exponents From a Time Series of Acoustic Chaos.” Physical Review A 39, 2146-2147.Google Scholar
  24. Kauffman, S.A. (1995). At Home in the Universe: The Search for the Laws of Complexity. London: Viking.Google Scholar
  25. Levin, S.A., S. Barrett, S. Aniyar, W. Baumol, C. Bliss, B. Bolin, P. Dasgupta, P. Ehrlich, C. Folke, I.-M. Gren, C.S. Holling, A. Jansson, K.-G. Mäler, D. Martin, C. Perrings, and E. Sheshinski. (1998). “Resilience in Natural and Socioeconomic Systems.” Environment and Development Economics 3, 222-235.Google Scholar
  26. MacArthur, R.H. (1955). “Fluctuations of Animal Populations and a Measure of Community Stability.” Ecology 36, 533-536.Google Scholar
  27. Neubert, M.G. and H. Caswell. (1997). “Alternatives to Resilience for Measuring the Responses of Ecological Systems to Perturbations.” Ecology 78, 653-665.Google Scholar
  28. Nijkamp, P. and A. Reggiani. (1992). Interaction, Evolution and Chaos in Space. Berlin: Springer-Verlag.Google Scholar
  29. Nijkamp, P. and A. Reggiani. (1998). The Economics of Complex Spatial Systems. Amsterdam: Elsevier.Google Scholar
  30. Perrings, C. (1994). “Ecological Resilience in the Sustainability of Economic Development” International Symposium on “Models of Sustainable Development”, Paris, Vol. II, 27-41.Google Scholar
  31. Perrings, C. (1998). “Resilience in the Dynamics of Economy-Environment Systems.” Environmental and Resource Economics 11, 503-520.Google Scholar
  32. Peterson, G., C.R. Allen, and C.S. Holling. (1998). “Ecological Resilience, Biodiversity, and Scale.” Ecosystems 1, 6-18.Google Scholar
  33. Pimm, S.L. (1984). “The Complexity and Stability of Ecosystems.” Nature 307, 321-326.Google Scholar
  34. Reggiani, A., P. Nijkamp, and E. Sabella. (2000). “A Comparative Analysis of the Performance of Evolutionary Algorithms and Logit Models in Spatial Networks.” In A. Reggiani (ed.), Spatial Economic Science: New Frontiers in Theory and Methodology. Berlin: Springer-Verlag, 331-354.Google Scholar
  35. Schintler, L.A. and R. Kulkarni. (2000). “The Emergence of Small World Phenomenon in Urban Transportation Networks: An Exploratory Analysis.” In A. Reggiani (ed.), Spatial Economic Science: New Frontiers in Theory and Methodology. Berlin: Springer-Verlag, 419-434.Google Scholar
  36. Teulings, C. and J. Hartog. (1998). Corporatism and Competition? Labour Contracts, Institutions an Wage Structures in International Comparison. Cambridge: Cambridge University Press.Google Scholar
  37. Timmerman, P. (1986). “Mythology and Surprise in the Sustainable Development of the Biosphere.” In W.C. Clarck and R.E. Munn (eds.), Sustainable Development of the Biosphere. Cambridge: Cambridge University Press, 435-453.Google Scholar
  38. Watts, D.J. and S.H. Strogatz. (1998). “Collective Dynamics of Small-World Networks.” Nature 393, 440-442.Google Scholar
  39. Wilson, A. (2000). “Spatial Modelling: Conceptual, Mathematical and Computational Challenges.” In A. Reggiani (ed.), Spatial Economic Science: New Frontiers in Theory and Methodology. Berlin: Springer-Verlag, 15-29.Google Scholar
  40. Wilson, E.O. (1998). Consilience: The Unit of Knowledge. New York: Alfred A. Knoff.Google Scholar
  41. Wolf, A., J. Swift, H. Swinney, and J. Vastano. (1985). “Determination of Lyapunov Exponents from Time-series.” Physica D 16, 285-317.Google Scholar

Copyright information

© Kluwer Academic Publishers 2002

Authors and Affiliations

  • Aura Reggiani
    • 1
  • Thomas De Graaff
    • 2
  • Peter Nijkamp
    • 2
  1. 1.Department of Economics, Faculty of StatisticsUniversity of BolognaBolognaItaly
  2. 2.Department of Economics, Faculty of EconomicsFree University of AmsterdamAmsterdamThe Netherlands

Personalised recommendations