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Location Theories and Business Location Decision: A Micro-Spatial Investigation of a Nonmetropolitan Area in Canada

Author

Listed:
  • Diego Legros

    (LEDi - Laboratoire d'Economie de Dijon - UB - Université de Bourgogne - CNRS - Centre National de la Recherche Scientifique)

  • Jean Dubé
  • Cédric Brunelle
  • Diego Legros

Abstract

This paper draws on location theories to statistically identify the relationship between the location of individual business establishments and the characterization of their local economic environment. Taking a microspatial perspective, the paper develops indicators from distance-based measures (DBM) to serve as independent variables in a discrete choice model (DCM). Using a 2006 database of individual business establishments in the Lower-St-Lawrence region—a coherent, nonmetropolitan subsystem of cities in the province of Québec, Canada—we provide an empirical analysis of the determinants of individual establishments' location decisions in relation to their main economic activity within a random utility model (RUM) framework. The results show that distance to nearby centers, co-location (specialization), and the size of establishments are statistically related to location decisions. However, unlike previous studies, it is also found that discrete location choices of business establishments in service dustries are not necessarily influenced by economic diversity or co-location, whereas manufacturing firms' location decisions are not impacted by distance to markets. All told, we believe the results provide further evidence of the importance of scale in the study of business location decisions.

Suggested Citation

  • Diego Legros & Jean Dubé & Cédric Brunelle & Diego Legros, 2016. "Location Theories and Business Location Decision: A Micro-Spatial Investigation of a Nonmetropolitan Area in Canada," Post-Print hal-01338639, HAL.
    • Handle: RePEc:hal:journl:hal-01338639
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    Citations

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    Cited by:

    1. Mateusz Piwowarski & Danuta Miłaszewicz & Małgorzata Łatuszyńska & Kesra Nermend, 2019. "Multi-Criteria Assessment of the Company's Location Selection: A Dynamic Approach," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 215-230.
    2. Jurgita Bruneckiene & Robertas Jucevicius & Ineta Zykiene & Jonas Rapsikevicius & Mantas Lukauskas, 2019. "Assessment of Investment Attractiveness in European Countries by Artificial Neural Networks: What Competences are Needed to Make a Decision on Collective Well-Being?," Sustainability, MDPI, vol. 11(24), pages 1-23, December.
    3. Ioannis Baraklianos & Louafi Bouzouina & Ouassim Manout & Patrick Bonnel, 2018. "To what extent do location choices of new and relocating economic establishments differ in terms of preference for accessibility?," Working Papers hal-01801448, HAL.
    4. Dubé, Jean & Desaulniers, Sarah & Bédard, Louis-Philippe & Binette, Antoine & Leblanc, Emmanuelle, 2018. "Urban residential reconversion through demolition: A land use model based on administrative spatial micro-data," Land Use Policy, Elsevier, vol. 76(C), pages 686-696.
    5. Ioannis BARAKLIANOS & Louafi BOUZOUINA & Patrick BONNEL, 2018. "The impact of accessibility on the location choices of the business services. Evidence from Lyon urban area," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 48, pages 85-104.
    6. Sabina Buczkowska & Nicolas Coulombel & Matthieu Lapparent, 2019. "A comparison of Euclidean Distance, Travel Times, and Network Distances in Location Choice Mixture Models," Networks and Spatial Economics, Springer, vol. 19(4), pages 1215-1248, December.
    7. Ismaëlh Cissé & Jean Dubé & Cédric Brunelle, 2020. "New business location: how local characteristics influence individual location decision?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(1), pages 185-214, February.

    More about this item

    Keywords

    location decision; spatial distribution; regional development; spatial analysis;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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