Over the course of the last decade, sharing economy platforms have experienced significant growth within cities around the world. Airbnb, which is one of the largest and best-known platforms, provides the focus for this paper and offers a service that allows users to rent properties or spare rooms to guests. Its rapid growth has led to a growing discourse around the consequences of Airbnb rentals within the local context. The research within this paper focuses on determining impact on local housing prices within the inner London boroughs by constructing a longitudinal panel dataset, on which a fixed and random effects regression was conducted. The results indicate that there is a significant and modest positive association between the frequency of Airbnb and the house price per square metre in these boroughs.

在过去的十年中，共享经济平台在世界各地的城市中经历了显着增长。Airbnb是最大和最知名的平台之一，它是本文的重点，并提供了一项服务，允许用户向客人租用房产或备用房间。它的快速增长导致人们越来越多地谈论在当地背景下Airbnb租金的后果。本文中的研究着重于通过构建纵向面板数据集来确定伦敦内部行政区对当地房价的影响，在该数据集上进行了固定和随机效应回归。结果表明，在这些区中，Airbnb的频率和每平方米的房价之间存在显着且适度的正相关。