Journal of Systems & Management ›› 2021, Vol. 30 ›› Issue (2): 363-372.DOI: 10.3969/j.issn.1005-2542.2021.02.015

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Analysis of Host’s Pricing Behavior of Shared Accommodation Based on Data from xiaozhu.com

WANG Chunying,CHEN Hongmin   

  1. Antai College of Economics and Management,Shanghai Jiao Tong University,Shanghai 200030,China
  • Online:2021-03-28 Published:2021-04-26

共享短租平台房东定价行为——基于小猪短租平台的数据分析

王春英,陈宏民   

  1. 上海交通大学 安泰经济与管理学院,上海 200030
  • 通讯作者: 陈宏民 (1960-),男,博士,教授,博士生导师
  • 作者简介:王春英(1986-),女,博士生。研究方向为双边市场理论、平台经济学
  • 基金资助:
    国家自然科学基金资助项目(71472121);国家社会科学基金重大项目(14ZDB137)

Abstract: Based on the data of shared houses from xiaozhu.com which is a sharing platform on accommodation rental, this paper analyzes the characteristics of houses and the hosts. It is found that the proportion of professional hosts with a certain size of housing gradually increases. To analyze the impact of host characteristics on housing pricing, an empirical study is conducted on 5388 housing properties in 10 domestic cities. The results show there is a clear difference between the housing pricing of professional hosts with a certain scale of houses and amateur hosts. The pricing of professional hosts who have a certain scale of shared houses is higher than that of amateur hosts. The pricing of accommodation rental will increase if the scale of shared houses increases. On the other hand, the pricing of professional hotels has a significant positive impact on the pricing of short-term rental houses, which shows that there is a certain competitive relationship between these two types of platforms. The pricing of shared houses is also affected by such factors as the characteristics of housing, supporting facilities, second-hand house price and location, as well as consumer comments. The host should also pay attention to these factors when pricing accommodation, especially the evaluation of the consumer side.

Key words: pricing, host characteristics, professional hotel, shared accommodation platform

摘要: 以共享短租平台小猪短租网站的房源数据为例,分析了共享短租平台供给者端的房源及房东特征。结果发现,在供给者端,具有一定房源规模的房东占比逐渐提高。为了分析房东特征对房源定价的影响,对国内10个城市的5 388个房源进行实证研究。结果发现,有一定规模的专业房东的房源定价与业余房东有着明显的区别,具有一定规模的专业房东对其房源的定价要高于业余房东,并且随着房源规模的扩大,其定价越高。规模化的专业房东的定价相对较高主要是由于房客端的自网络效应、规模化房东的投入成本以及回报要求高、散户房东的回报要求低等原因引起的。另一方面,专业酒店的定价对共享短租房源的定价产生显著的正向影响。这说明,这两类平台之间存在着一定的竞争关系。共享房源的定价还受到诸如房源特性、配套设施、二手房房价和区位以及消费者评论的影响,房东在进行住宿定价时应考虑这些因素,特别是要对消费者端的评价引起足够的重视。

关键词: 定价, 房东特征, 专业酒店, 共享短租平台

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