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Spatial coopetition and peer-to-peer accommodation price

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  • Lee, Hanna
  • Jang, Seongsoo
  • Kim, Jinwon

Abstract

Peer-to-peer accommodation prices can be derived from individual accommodation and destination characteristics. This study focuses on spatially coopetitive pricing among peer-to-peer accommodations at both individual and clustered levels. Applying spatial analytical techniques to 2090 Airbnb properties across 275 census tracts in Miami-Dade County, Florida, we model peer-to-peer accommodation prices based on three coopetition antecedents: market commonality, resource similarity, and supply commonality. The results reveal the presence of three clusters of spatially coopetitive pricing dynamics, namely, cooperation-dominant, competition-dominant, and balanced coopetition, across coopetition precursors. This study offers practical guidance for accommodation rental platforms, hosts, and policymakers regarding the role of coopetitive pricing strategies shaped by tourism demand, supply, and resources within and across tourism destinations.

Suggested Citation

  • Lee, Hanna & Jang, Seongsoo & Kim, Jinwon, 2024. "Spatial coopetition and peer-to-peer accommodation price," Annals of Tourism Research, Elsevier, vol. 109(C).
    • Handle: RePEc:eee:anture:v:109:y:2024:i:c:s0160738324001038
    DOI: 10.1016/j.annals.2024.103826
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