TY - CHAP
T1 - Innovation, Competitiveness, and Sustainability in Tourism Clusters
T2 - An Empirical Model of Caribbean Destinations
AU - Cole, Sam
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - This chapter explains and estimates a model of accommodation clusters in tourist destinations. The model variables describe a destination’s intrinsic attraction, synergies between tourism activities, increasing congestion and capacity, and competition-driven technical changes. The model engages technology parameters at four physical scales, global markets for capital and visitors, regional destinations and innovations, destination-level clustering, and characteristic accommodation size. Parameters are estimated across 20 Caribbean destinations from 1986 to 1996. Combined with island-specific tourism policies, the model plausibly backcasts earlier tourism development for Aruba reproduces overshoot in accommodations in the late-1980s, and the following decade of disruptive fluctuations. Although the model over-estimates current hotel accommodation, the excess matches emergent uncontrolled growth of “alternative” accommodation, primarily condominiums, and vacation rentals. This case study illustrates how the cluster model’s components and parameters influence critical junctures in the growth trajectory of destinations.
AB - This chapter explains and estimates a model of accommodation clusters in tourist destinations. The model variables describe a destination’s intrinsic attraction, synergies between tourism activities, increasing congestion and capacity, and competition-driven technical changes. The model engages technology parameters at four physical scales, global markets for capital and visitors, regional destinations and innovations, destination-level clustering, and characteristic accommodation size. Parameters are estimated across 20 Caribbean destinations from 1986 to 1996. Combined with island-specific tourism policies, the model plausibly backcasts earlier tourism development for Aruba reproduces overshoot in accommodations in the late-1980s, and the following decade of disruptive fluctuations. Although the model over-estimates current hotel accommodation, the excess matches emergent uncontrolled growth of “alternative” accommodation, primarily condominiums, and vacation rentals. This case study illustrates how the cluster model’s components and parameters influence critical junctures in the growth trajectory of destinations.
KW - Globalization
KW - Innovation
KW - Sustainable destination development
KW - Temporal variability
KW - Tourism clusters
UR - https://www.scopus.com/pages/publications/85098002268
U2 - 10.1007/978-3-030-61274-0_19
DO - 10.1007/978-3-030-61274-0_19
M3 - Chapter
AN - SCOPUS:85098002268
T3 - Advances in Spatial Science
SP - 377
EP - 401
BT - Advances in Spatial Science
PB - Springer Science and Business Media Deutschland GmbH
ER -