What is happening in Paris? Airbnb,hotels, and the Parisian market: A case study

Airbnb has been the subject of heated discussions among tourism and hospitality scholars. In order to understand the true impact of P2Psharing on the tourism and hospitality landscape, it is important to understand that market in detail first. Therefore, in this paper, we explore the development of the Airbnb market over the last seven years in Paris, the most popular destination for Airbnb guests with more than 40,000 accommodation rentals. This research note is a summary of our findings on the Paris market. Our study shows different growth and seasonality patterns for Airbnb and hotels and dissimilarities in the geographical location of the offers. The findings indicate that the two products are not in direct competition and that their relationship might be more complex than previously thought. We trust that exploring the nature of the competitive relationship would be a valuable avenue for further investigation.     

我国经济适用房政策趋向分析

经济适用房从实施到现在并没有很好地解决中低收入者的住房问题。在借鉴国外住房保障的基础上。本文认为应取消经济适用房代之以扩大廉租房适用范围来保障低收入者住房问题，而对于中等收入者可通过大力发展二手房市场及住房金融体系来解决。     

Herding behaviour in P2P lending markets

We explore lender behaviour on Renrendai.com, a leading Chinese peer-to-peer (P2P) crowdlending platform. Using a sample of around five million investor-loan-hour observations, and applying a high-dimensional fixed effect estimator, we confirm evidence of herding behaviour: the investors in our sample prefer assets that had attracted strong interest in previous periods. The herding behaviour relates to both the experience level of the investor and the length of time of an investment session on the platform. We also provide evidence of significant herding behaviour in the first hour of experienced investors’ sessions. Our results are robust to the use of alternative specifications.     

Price and RevPAR determinants of Airbnb listings: Convergent and divergent evidence

This paper explores the performance determinants of Airbnb listings, analyzing three research questions. First, the study investigates the different effects generated by the antecedents on price and revenue; second, it ranks different groups of variables; third, it distinguishes between private rooms and entire homes or apartments. These research questions are addressed by analyzing Airbnb listings in Milan, a business city where the sharing economy is growing fast. In particular, the study will use the monthly data of all Airbnb listings in Milan recorded by AirDNA during the period from November 2014 to June 2019, which consists of 323,184 total observations. Some hedonic price models are calculated, adding the Shapley value approach. Empirical findings show some important differences between price and revenue determinants. Furthermore, listing type and size, along with location and seasonality, are by far the most important factors that explain performance differentials among Airbnb properties.     

中国住宿和餐饮业在产业链上位置测度及其动态变迁

文章运用产业上游度测度模型，测度了我国住宿和餐饮业在产业链上位置，考察了其在产业链上位置的动态变迁。总体来讲，住宿和餐饮业在全球产业链上和国内产业链上的位置都向产业链上游移动。从封闭经济到开放经济，住宿和餐饮业的产业上游度存在着较大波动，2002—2010年全球产业上游度都大于其国内产业上游度；2012—2017年则相反，住宿和餐饮业国内产业上游度波动幅度要大于其全球产业上游度波动幅度。住宿和餐饮业净出口变化方向与其国外产业上游度变化方向基本相同，净出口增加对其国外产业上游度上升有促进作用。住宿和餐饮业全球产业上游度变化趋势与其国内产业上游度变化趋势基本相似。总体来讲，现阶段住宿和餐饮业国内产业上游度增长速度要大于其全球产业上游度增长速度。     

Different but Similar: Social Comparison of Travel Motives Among Tourists

Although previous research suggests that people prefer to think of themselves as being authentic (or individualistic) travellers rather than stereotyped tourists, there have been few studies investigating the external validity of such claim. This paper addresses this research gap by investigating tendencies to dissociate the self from typical tourists in terms of travel motivation. Findings suggest that people perceive their own travel motives to be different from those who they perceive as typical tourists and that these tendencies generalize across people involved in different forms of tourism. This paper discusses the results from a social psychological perspective and provides implications for future research and destination management alike. © 2014 The Authors. International Journal of Tourism Research published by John Wiley & Sons, Ltd.     

Yours,mine, and ours: A user-centric analysis of opportunities and challenges in peer-to-peer asset sharing

The sharing economy is growing globally in terms of user numbers, service providers, and novel concepts. Peer-to-peer (P2P) asset sharing, or asset rental between private individuals, has attracted the attention of entrepreneurs and researchers alike. P2P asset-sharing networks need to focus on two distinct customer groups: (1) asset owners willing to rent out their assets, and (2) renters interested in renting others’ assets. Despite consumers’ high interest in P2P asset sharing, participation rates lag projections, which is mainly attributable to lack of participating asset owners. This could be problematic for P2P networks as they do not own assets; instead, they rely on a sufficient number of asset owners to participate. Detailed indications on the participation motives of users are required to distinctly position P2P asset sharing and enhance communication of consumer-relevant benefits. To this end, we have engaged in a detailed investigation of participation motives in the P2P car-sharing context. We have conducted in-depth interviews with car owners and renters to derive usage types that represent consumer decision profiles that participate in P2P car-sharing services. Based on our findings, we provide extensive recommendations to entrepreneurs in the P2P asset-sharing market.     

Auctions for social lending: A theoretical analysis

Prosper, today the second largest social lending marketplace with nearly 1.5 million members and $380 million in funded loans, employed an auction mechanism amongst lenders to finance each borrower's loan until 2010. Given that a basic premise of social lending is cheap loans for borrowers, how does the Prosper auction do in terms of the borrower's payment, when lenders are strategic agents with private true interest rates? We first analyze the Prosper auction as a game of complete information and fully characterize its Nash equilibria, and show that the uniform-price Prosper mechanism, while simple, can lead to much larger payments for the borrower than the VCG mechanism. We next compare the Prosper mechanism against the borrower-optimal auction in an incomplete information setting, and conclude by examining the Prosper mechanism when modeled as a dynamic auction, and provide tight bounds on the price for a general class of bidding strategies.