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Transitions to Chaos with Increasing System Complexity: The Case of Regional Industrial Systems

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  • R W White

    (Department of Geography, Memorial University of Newfoundland, St John's, Newfoundland, Canada)

Abstract

In this paper are examined the onset and character of chaotic behaviour in a class of models representing a spatially distributed economic system characterized by economies and diseconomies both of scale and agglomeration; particular attention is paid to the role of complexity. Two major results emerge: (1) there is an inverse relationship between system complexity and the response rate, r , at which chaotic behaviour appears; and (2) with increasing complexity there is a blurring of the point at which chaotic behaviour appears. Of the two main characteristics of such behaviour, equifinality disappears at a lower value of r than does periodicity.

Suggested Citation

  • R W White, 1985. "Transitions to Chaos with Increasing System Complexity: The Case of Regional Industrial Systems," Environment and Planning A, , vol. 17(3), pages 387-396, March.
    • Handle: RePEc:sae:envira:v:17:y:1985:i:3:p:387-396
    DOI: 10.1068/a170387
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    Cited by:

    1. Nijkamp, P. & Reggiani, A., 1991. "Space-time dynamics, spatial competition and the theory of chaos," Serie Research Memoranda 0094, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    2. Rosser, J. Jr., 1996. "Development, geography, and economic theory : Paul Krugman (The MIT Press, Cambridge, MA, 1995) pp. iii + 117, index, $20.00," Journal of Economic Behavior & Organization, Elsevier, vol. 31(3), pages 450-454, December.
    3. Nijkamp, P. & Reggiani, A., 1988. "Theory of chaos in a space-time perspective," Serie Research Memoranda 0029, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    4. Nijkamp, P. & Reggiani, A., 1990. "Impacts of multiple period lags in dynamic logit models," Serie Research Memoranda 0083, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    5. Nijkamp, P. & Poot, J., 1991. "Lessons from non-linear dynamic economics," Serie Research Memoranda 0105, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    6. Nijkamp, Peter & Reggiani, Aura, 1995. "Non-linear evolution of dynamic spatial systems. The relevance of chaos and ecologically-based models," Regional Science and Urban Economics, Elsevier, vol. 25(2), pages 183-210, April.
    7. Nijkamp, P. & Reggiani, A., 1990. "Spatio-temporal processes in dynamic logit models," Serie Research Memoranda 0063, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

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