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Demand- and supply-side agglomerations : Distinguishing between fundamentally different manifestations of geographic concentration

Author

Listed:
  • Timothy Folta

    (EM - EMLyon Business School)

  • Brian Mccann

Abstract

Agglomeration research investigates the benefits that firms receive from locating in close geographic proximity. Despite a substantial surge in interest in this topic over the past 20 years, a lack of distinction among unique manifestations of spatial concentrations of similar firms threatens continuing progress in this stream of research. We argue that agglomerations of related firms that draw benefits from the supply-related externalities of increased access to specialized labour, specialized inputs, and knowledge spillovers are fundamentally different from those that draw benefits from heightened demand realized through reduction in consumer search costs. Extending agglomeration theory, we explicate the differences between these distinct phenomena, discuss how the nature of key theoretical relationships varies across these agglomeration types, and demonstrate significant implications for research. We discuss how the differences affect a host of theoretical relationships and empirical research decisions.

Suggested Citation

  • Timothy Folta & Brian Mccann, 2009. "Demand- and supply-side agglomerations : Distinguishing between fundamentally different manifestations of geographic concentration," Post-Print hal-02311825, HAL.
  • Handle: RePEc:hal:journl:hal-02311825
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    Cited by:

    1. Wang, Liang & Tan, Justin & Li, Wan, 2018. "The impacts of spatial positioning on regional new venture creation and firm mortality over the industry life cycle," Journal of Business Research, Elsevier, vol. 86(C), pages 41-52.
    2. Rosario Silva, 2016. "Competition and demand effects of geographic distance to rivals," The Service Industries Journal, Taylor & Francis Journals, vol. 36(1-2), pages 37-57, January.
    3. Currarini, Sergio & Fumagalli, Elena & Panebianco, Fabrizio, 2017. "Peer effects and local congestion in networks," Games and Economic Behavior, Elsevier, vol. 105(C), pages 40-58.
    4. Ganesh Pillai, Rajani & Bindroo, Vishal, 2020. "Supplier cluster characteristics and innovation outcomes," Journal of Business Research, Elsevier, vol. 112(C), pages 576-583.
    5. Ana Moreno-Monroy, 2012. "Critical Commentary. Informality in Space: Understanding Agglomeration Economies during Economic Development," Urban Studies, Urban Studies Journal Limited, vol. 49(10), pages 2019-2030, August.
    6. Giulia Baschieri & Andrea Carosi & Stefano Mengoli, 2023. "Local IPO waves, local shocks, and the going public decision," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2565-2589, July.
    7. Sergio Currarini, & Elena Fumagalli & Fabrizio Panebianco, 2012. "Games on Networks: Direct Complements and Indirect Substitutes," Discussion Papers in Economics 13/04, Division of Economics, School of Business, University of Leicester.
    8. Naresh R. Pandit & Gary A. S. Cook & Feng Wan & Jonathan V. Beaverstock & Pervez N. Ghauri, 2018. "The Economies and Diseconomies of Industrial Clustering: Multinational Enterprises versus Uninational Enterprises," Management International Review, Springer, vol. 58(6), pages 935-967, December.
    9. Rodríguez-Victoria, Orietha E. & González-Loureiro, Miguel & Puig, Francisco, 2017. "Economic Competitiveness: Effects of Clustering, Innovation Strategy and the Moderating Role of Location in the Colombian Hotel Industry," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 39, pages 81-97.
    10. Buenstorf, Guido & Klepper, Steven, 2010. "Why does entry cluster geographically? Evidence from the US tire industry," Journal of Urban Economics, Elsevier, vol. 68(2), pages 103-114, September.
    11. Billings, Stephen B. & Johnson, Erik B., 2016. "Agglomeration within an urban area," Journal of Urban Economics, Elsevier, vol. 91(C), pages 13-25.
    12. Jang, Seongsoo & Kim, Jinwon, 2022. "Remedying Airbnb COVID-19 disruption through tourism clusters and community resilience," Journal of Business Research, Elsevier, vol. 139(C), pages 529-542.
    13. Roberto Gabriele & Enrico Tundis, 2015. "the effect of longitudinal multiple subsidies on firm performance in the presence of neighbour interactions," ERSA conference papers ersa15p1368, European Regional Science Association.
    14. Yang, Yang & Mao, Zhenxing (Eddie), 2017. "Do independent hotels benefit from the presence of branded ones?," Journal of Business Research, Elsevier, vol. 76(C), pages 108-117.
    15. Yung Hyeock Lee & In Hyeock (Ian) Lee, 2022. "A regional analysis of crime heterogeneity and small- and medium-sized enterprise (SME) location choices: recent evidence from South Korea," Asian Business & Management, Palgrave Macmillan, vol. 21(4), pages 569-597, September.
    16. Brian T. McCann & Jeffrey J. Reuer & Nandini Lahiri, 2016. "Agglomeration and the choice between acquisitions and alliances: An information economics perspective," Strategic Management Journal, Wiley Blackwell, vol. 37(6), pages 1085-1106, June.
    17. Cornelis W. Haasnoot & Albert de Vaal, 2012. "Heterogeneous Firms and Cluster Productivity: A Neglected Externality Through Survival of the Weakest," DEGIT Conference Papers c017_050, DEGIT, Dynamics, Economic Growth, and International Trade.

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