The relationship between Airbnb-based and traditional accommodation is mainly documented for key tourist destinations with a large tourism sector, while there is almost no evidence on this for other destinations. This article focuses on regional variations in the relationship between Airbnb-based and traditional accommodation across primary and secondary tourist destinations in Norway. Through an exploratory cluster analysis and a panel vector autoregressive (PVAR) model with forecast error decomposition of shocks (unobserved effects), it finds evidence of spillovers from Airbnb-based accommodation to traditional accommodation in secondary destinations. The demand for traditional accommodation is positively affected by Airbnb demand in the long run. Interestingly, a smaller effect is found with the supply-side of regional tourism markets in the Norwegian secondary tourist destinations. The growth of Airbnb may, thus, spur growth in the general tourism sector in such less frequented destinations.

基于Airbnb的住宿与传统住宿之间的关系主要记录在旅游业庞大的主要旅游目的地，而其他目的地几乎没有证据。本文重点介绍挪威主要和次要旅游目的地中基于Airbnb的住宿与传统住宿之间关系的区域差异。通过探索性聚类分析和面板矢量自回归（PVAR）模型，该模型具有对震动的预测误差分解（未观察到的影响），它发现了从基于Airbnb的住宿到次级目的地的传统住宿的溢出迹象。从长远来看，传统住宿的需求受到Airbnb需求的积极影响。有趣的是，在挪威的二级旅游目的地，区域旅游市场的供应方的影响较小。因此，Airbnb的增长可能会刺激那些不那么频繁的目的地的一般旅游业的增长。