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Complex Landscapes of Spatial Interaction

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Spatial Economic Science

Part of the book series: Advances in Spatial Science ((ADVSPATIAL))

Abstract

Recently, Paul Krugman posed the intriguing question: ’How complex is the economic landscape? He was not thinking of mountains and rivers over which goods are transported and services channelled, but of an abstract landscape, one that represents the dynamics of resource allocation across activities and locations. Given his longstanding interest in international trade, Krugman pointed to some issues that add complexity to the landscape of trade: increasing returns instead of comparative advantage, the prevalence of multiple equilibria, and the extent of path-dependence, to name a few.

1This chapter is based on the preliminary version of a paper accepted for publication in The Annals of Regional Science, vol. 34.

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References

  • Allen P. and Sanglier M. 1979. A dynamic model of growth in a central place system, Geographical Analysis, 11: 256–72.

    Article  Google Scholar 

  • Allen, P. and Sanglier M. 1981. Urban evolution, self-organization, and decisionmaking, Environment and Planning A, 13: 167–83.

    Article  Google Scholar 

  • Arrow K. 1962. The economic implications of learning by doing, Review of Economic Studies, 29: 155–73.

    Article  Google Scholar 

  • Arthur W.B. 1994a. Increasing Returns and Path Dependence in the Economy, University of Michigan Press, Ann Arbor.

    Google Scholar 

  • Arthur W.B. 1994b. Inductive behaviour and bounded rationality, American Economic Review, 84: 406–11.

    Google Scholar 

  • Bak 1996. How Nature Works: The Science of Self-Organized Criticality, Springer-Verlag, New York.

    Google Scholar 

  • Batten D.F. 1998. Coevolutionary learning on networks, In Beckmann M.J., Johansson B., Snickars F. and Thord R. (eds.) Knowledge and Networks in a Dynamical Economy, Springer-Verlag, Heidelberg, 311–32.

    Google Scholar 

  • Batten D.F. 2000. The Way the Ecnomy Works: How Agents learn and Economies Evolve, Westview Press, New York.

    Google Scholar 

  • Biham O., Middleton A. and LevineD. 1992. Self-organization and a dynamical transition in traffic-flow models, Physical Review A, 46: R6124–R6127.

    Article  Google Scholar 

  • Casti J.L. 1996. Seeing the light at El Farol, Complexity, 15: 7–10.

    Article  Google Scholar 

  • Clark N. and Juma C. 1988. Evolutionary theories in economic thought, In Dosi G., Freeman C., Nelson R., Silverberg G. and Soete L. (eds.) Technical Change and Economic Theory, Pinter, London and New York.

    Google Scholar 

  • Cohen J. and Stewart I. 1994. The Collapse of Chaos: Discovering Simplicity in a Complex World, Penguin Books, New York.

    Google Scholar 

  • Darley V. 1995. Emergent phenomena and complexity, in Brooks R.A. and Maes P., Artificial Life IV: Proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems, The MIT Press, Cambridge, MA., 411–16.

    Google Scholar 

  • Gorman M.E. 1992. Simulating Science: Heuristics, Mental Models, and Techno-scientific Thinking, Indiana University Press, Bloomington.

    Google Scholar 

  • Kauffman S. 1995. At Home in the Universe: The Search for Laws of Complexity, Penguin, London.

    Google Scholar 

  • Krugman P. 1993. On the number and location of cities, European Economic Review, 37: 293–98.

    Article  Google Scholar 

  • Krugman P. 1994. Complex landscapes in economic geography, American Economic Association, Papers and Proceedings, 84: 412–16.

    Google Scholar 

  • Langton C.G. 1996. Artificial life, In Boden M.A. (ed.) The Philosophy of Artificial Life, Oxford University Press, Oxford, 39–94.

    Google Scholar 

  • Marshall A. 1925. Mechanical and biological analogies in economics, In Pigou A.C. (ed.) Memories of Alfred Marshall, MacMillan, London.

    Google Scholar 

  • Marshall A. 1959. Principles of Economics, MacMillan, London.

    Google Scholar 

  • Nagel K. and Rasmussen S. 1995. Traffic at the edge of chaos, in Brooks R.A. and Maes P., Artificial Life IV: Proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems, The MIT Press, Cambridge, MA., 222–35.

    Google Scholar 

  • Rouse W.B. and Morris N.M. 1986. On looking into the black box: prospects and limits in the search for mental models, Psychological Bulletin, 100: 349–63.

    Article  Google Scholar 

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© 2000 Springer-Verlag Berlin Heidelberg

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Batten, D. (2000). Complex Landscapes of Spatial Interaction. In: Reggiani, A. (eds) Spatial Economic Science. Advances in Spatial Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59787-9_4

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  • DOI: https://doi.org/10.1007/978-3-642-59787-9_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-64125-1

  • Online ISBN: 978-3-642-59787-9

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