Abstract
Over the
years, as people's lives have improved, our need for transportation and
accommodation has increased, driving the rapid growth of the sharing economy. Some
well-known network sharing platforms, such as Uber, Drip and Airbnb, provide a
large number of convenient options for users with transactional needs, make
more use of idle tourism, accommodation and other resources. Sharing economy
platforms continue to improve the content and format of their products, but at
the same time, the future of sharing platforms and the difficulty of
competition is a concern as more platform companies become involved and prices
become more transparent. Under this circumstance, optimizing product pricing
has become an urgent need for many sharing economy platforms. In this paper, we
take Airbnb as the starting point and conduct an empirical analysis of the
blocking behavior of homeowners based on proprietary data to explore the factors
that affect their product supply. We find that price, number of beds, and
listing type all have a significant impact on blocking houses. After that, we
conducted further research on price factors and developed a model aiming at
profit maximization to obtain the best pricing range for the region and provide
suggestions for pricing strategies.
Keywords: Sharing Economy, Blocking behavior, Pricing Strategy, Airbnb