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Does the Shape of a Territory Influence the Locations of Human Activities? a Numerical Geography Approach

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  • Dominique Peeters

  • Isabelle Thomas

Abstract

This paper aims at showing how far the shape of a studied area influences the results of optimal location-allocation models. Simulations are performed on rectangular toy-networks with an equal number of vertices but with different length/width ratios. The case of merging two such networks into a common market is also considered. We limit our experience to the Simple Plant Location Problem (SPLP) which captures the fundamental trade-off of economic geography between accessibility and economies-of-scales. Results are analysed in terms of locations, allocations and costs. The results help at understanding how far an area (country/region) has larger development problems than others just because of its shape and/or of the way this area is linked within a common market (elongation of the country and length of the common border). Several real world examples are discussed when interpreting of the results.

Suggested Citation

  • Dominique Peeters & Isabelle Thomas, 2005. "Does the Shape of a Territory Influence the Locations of Human Activities? a Numerical Geography Approach," ERSA conference papers ersa05p56, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa05p56
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    References listed on IDEAS

    as
    1. Dominique Peeters & Jacques-François Thisse & Isabelle Thomas, 2000. "On High-Speed Connections and the Location of Activities," Environment and Planning A, , vol. 32(12), pages 2097-2112, December.
    2. Beckmann, Martin J. & Thisse, Jacques-Francois, 1987. "The location of production activities," Handbook of Regional and Urban Economics, in: P. Nijkamp (ed.), Handbook of Regional and Urban Economics, edition 1, volume 1, chapter 2, pages 21-95, Elsevier.
    3. Crozet, Matthieu & Koenig Soubeyran, Pamina, 2004. "EU enlargement and the internal geography of countries," Journal of Comparative Economics, Elsevier, vol. 32(2), pages 265-279, June.
    4. Mary Amiti & Lisa Cameron, 2007. "Economic Geography and Wages," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 15-29, February.
    5. Masahisa Fujita & Paul Krugman & Anthony J. Venables, 2001. "The Spatial Economy: Cities, Regions, and International Trade," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262561476, December.
    6. Dominique Peeters & Isabelle Thomas, 1995. "The Effect of Spatial Structure on p -Median Results," Transportation Science, INFORMS, vol. 29(4), pages 366-373, November.
    7. PEETERS, Dominique & THISSE, Jacques-François & THOMAS, Isabelle, 1998. "Transportation networks and the location of human activities," LIDAM Reprints CORE 1344, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. Mion, Giordano, 2004. "Spatial externalities and empirical analysis: the case of Italy," Journal of Urban Economics, Elsevier, vol. 56(1), pages 97-118, July.
    9. labbe, M. & Peeters, D. & Thisse, J.F., 1992. "Location on Networks," Papers 9216, Universite Libre de Bruxelles - C.E.M.E..
    10. Rosenthal, Stuart S. & Strange, William C., 2004. "Evidence on the nature and sources of agglomeration economies," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 49, pages 2119-2171, Elsevier.
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    12. R. L. Francis & T. J. Lowe & Arie Tamir, 2000. "Aggregation Error Bounds for a Class of Location Models," Operations Research, INFORMS, vol. 48(2), pages 294-307, April.
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