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Location Determinants and Patterns of Foreign Logistics Services in Shanghai, China

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  • Junjie Hong

Abstract

Nested logit models are introduced and applied to an investigation of location determinants and patterns of foreign logistics services within a Chinese city. The estimation results based on recent census data show that foreign logistics establishments favoured the sites near the central business district. They were attracted by good transport infrastructure and vigorous market demand. High population density deterred foreign logistics establishments, while the availability of supporting services attracted them. We also observed that the central city area's attractiveness to foreign logistics services had decreased since the mid-1990s. Finally, some implications for policy-makers are suggested.

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  • Junjie Hong, 2007. "Location Determinants and Patterns of Foreign Logistics Services in Shanghai, China," The Service Industries Journal, Taylor & Francis Journals, vol. 27(4), pages 339-354, June.
  • Handle: RePEc:taf:servic:v:27:y:2007:i:4:p:339-354
    DOI: 10.1080/02642060701346490
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    Cited by:

    1. E. Borgonovo & L. Peccati, 2011. "Managerial insights from service industry models: a new scenario decomposition method," Annals of Operations Research, Springer, vol. 185(1), pages 161-179, May.
    2. Verhetsel, Ann & Kessels, Roselinde & Goos, Peter & Zijlstra, Toon & Blomme, Nele & Cant, Jeroen, 2015. "Location of logistics companies: a stated preference study to disentangle the impact of accessibility," Journal of Transport Geography, Elsevier, vol. 42(C), pages 110-121.
    3. Champagne, Marie-Pier & Dubé, Jean, 2023. "The impact of transport infrastructure on firms’ location decision: A meta-analysis based on a systematic literature review," Transport Policy, Elsevier, vol. 131(C), pages 139-155.
    4. Dalila Ribaudo, 2023. "Tracking the Van: The role of forward linkages in logistics MNEs' location choices across European NUTS 3 regions," Papers in Regional Science, Wiley Blackwell, vol. 102(2), pages 331-362, April.
    5. Masilonyane Mokhele & Tholang Mokhele, 2022. "Spatial Configuration of Logistics Firms Relative to Cape Town International Airport, South Africa," Logistics, MDPI, vol. 6(3), pages 1-22, July.

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