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Trust has been widely recognized as the crucial factor of consumer purchase intention when shopping on peer-to-peer short-term rental platforms where hosts and renters are strangers. However, the specific attributes of hosts that help build trust with potential renters and drive their purchase of short-term rentals remain unknown. This study aims to explore the effects of host attributes on renter purchases made on Xiaozhu.com, one of the top short-term rental platforms in China, while controlling for short-term rental characteristics.

A crawler program was developed by Python to collect the host attributes and their short-term rental characteristics of 935 hosts in Beijing from November 18, 2015 to February 14, 2016. The authors use Poisson regression models to estimate the effects of host attributes on renter reservations. They also conduct a series of robustness checks for the estimated results.

The authors found that host attributes such as the time of reservation confirmation, the acceptance rate of renter reservations, the number of listings owned, whether a personal profile page is disclosed and gender of the host significantly affect renter reservations, whereas the response rate of the host does not influence renters when purchasing short-term rentals online.

This study identifies which host attributes are perceived as trustworthy and affect renters’ purchase decisions, a topic of both theoretical and practical importance but currently less researched. The findings add to emerging literature by providing insights on trust-building in the peer-to-peer economy. Useful suggestions are also provided on strengthening the trust mechanism on short-term rental platforms to facilitate peer-to-peer transactions. Notably, the study is the first attempt to examine the perception of Chinese users toward short-term rentals despite its global prevalence. The analytical insights revealed from large scale but granular online observations data of host attributes and actual renter reservations greatly supplement findings of extant literature using survey and experiment approaches.

Buyers (renters) and sellers (hosts) on peer-to-peer (P2P) room-sharing websites make purchasing/selling decisions based on each other’s demographic information published in the cyber marketplace. Nevertheless, how this reciprocal selection based on the similarities between renters and hosts may lead to a successful P2P transaction of such services has not yet been discussed. Building on the similarity–attraction paradigm, this study assessed the similarity effects between renters and hosts on the likelihood of a P2P room-sharing transaction.

A logistical regression model was employed in analysis, using a large-scale, granular online observational data set collected from Xiaozhu.com, a primary home-sharing platform in China.

Renter–host similarities in age and education significantly affect the likelihood of a P2P room-sharing transaction. As the number of listings managed by a host increases, the effect of age similarity decreases. While a renter’s experience with a room-sharing website negatively moderates the similarity effect of age, it is a factor positively moderating the similarity effect of education.

Other possible host–renter similarities were not analyzed due to the limitation of the data source. The reciprocal selection process for room-sharing services was acknowledged by integrating buyers’ and sellers’ data into one analysis.

Implications are advanced for the stakeholders of room-sharing business, including entrepreneurs running a room-sharing website, operators of short-term residential rentals and hoteliers.

This study represents a first attempt to research the buyer–seller similarity effects on the likelihood of a P2P transaction in sharing economy.

The purpose of this paper is to propose a short-term renters’ preference profile for peer-to-peer (P2P) accommodation selection in the housing market in Kuala Lumpur, Malaysia. The emergence of P2P accommodation was initiated by the concept of a sharing economy, allowing the peer provider to share personal properties with the peer end-users. As the housing market has become more competitive, understanding the preference profile among short-term renters is advantageous to offer a matching marketing mix to the targeted customers.

This study uses qualitative method associated with thematic analysis. A total of 10,509 reviews on Airbnb were gathered from 377 properties in Kuala Lumpur Federal Territory from 2013 to 2017. Thematic analysis assisted by NVivo software was applied to analyse the empirical data. In total, 14 attributes were identified which could be categorised into 5Ps. The concept of 5Ps adopted from modern marketing is commonly used to categorise the strategies in the marketing process. In the current context, 5Ps is used to categorise the preference of the short-term renter in their selection of P2P accommodation including product, price, promotion, process and people.

This paper has developed a preference profile for P2P accommodation selection in Malaysia’s housing market. In total, 14 attributes were identified and categorised into the 5Ps of marketing mix. The results showed that the majority of short-term renters were concerned mostly with product (73.2 per cent), followed by people (14.5 per cent), process (10.1 per cent), price (2.0 per cent) and promotion (0.2 per cent).

This study contributes to existing literature with a novel case in Malaysia’s housing market by identifying the short-term renter’s preference in the P2P accommodation selection in the Malaysian housing market, specifically in Kuala Lumpur. The preference profile provides guidance for property owners and developers in the housing market to offer the right product in enhancing the marketability and rentability of the property.

A public finance framework is used to examine the relationship between community composition, namely occupancy status, and the provision of governmental services. A comprehensive literature survey suggests that a systematic relationship exists between the fraction of renters in a given jurisdiction and the level of fiscal expenditures. More particularly, it would appear that renters ceteris paribus are willing to support a higher level of publicly provided goods than homeowners. The competing hypotheses of renter illusion and renter rationality are discussed, as are the differing implications for public policy. Suggestions are also made on how future research on this important topic might proceed.

In Ghana, the practice of landlords demanding that renters pay rent advance (RA) of between six months and five years is well noted. Surprisingly, renters appear divided into the benefits and drawbacks of the rent advance payment. Ahead of the 2020 general elections, the two leading political parties in Ghana promised to establish a rent assistance scheme to help renters working in the formal and informal sectors and earning regular incomes to pay their RA. This paper aims to scrutinize the differences in the demographic, employment and housing characteristics between the critics and non-critics of the RA payment in Ghana and the factors that predict the likelihood of being a critic of the RA system.

The study is exploratory and draws empirical data from surveys administered to 327 graduate renters from 13 regions in Ghana. It uses non-parametric and parametric tests, namely, Chi-square goodness-of-fit and T-test to explore these differences between both critics and non-critics of the RA.

There are statistically significant differences between critics and non-critics in terms of the association between their educational attainment on the one hand and their marital status, employment status and employment sector on the other hand. The research also reveals that monthly expenditures, number of bedrooms and RA period significantly predict the likelihood of being a critic of the RA payment or otherwise.

The study provides evidence which policymakers can draw upon to inform housing policy.

The study is the first to study the housing characteristics of graduate renters and to quantitatively distinguish between critics and non-critics of RA payment in Ghana.

The purpose is to understand why contract instability occurs when small landowners lease their land to large landholders.

The authors develop a contract theoretical model to understand the stability problem in the farmland lease contract in China, where most landowners are small landholders.

Results from the doubly robust estimation method used on randomly selected interview data from 552 households in nine provinces of China indicate that contract instability can arise endogenously when large landholders sign a contract. The authors conclude that a suitable rent control regime or contract enforcement may be necessary to promote a large-scale farmland transfer in China.

The authors develop a contract theoretical model and apply it to the land rental market in China. Data used are original and collected from farmers located in nine provinces of China.

The purpose of this study is to compare quality perceptions of virtual servicescapes and physical service encounters among buyers and renters of real estate.

Qualitative data from a sample of 27 professionals engaged in higher education in the USA are gathered by recorded interview before being transcribed and imported into MAXQDA 2007 software for analytical coding.

Particular differences are found to exist between renters and buyers with regard to specific service attributes – for example, description of properties and type of visuals during the pre‐purchase stage, knowledge/experience and honest behavior of realtors during the service encounter stage and a continuous relationship with the realtor in the post‐encounter stage.

Generalization of the results is limited because the study utilizes data from only one industry (real estate) and from only one demographic segment (professionals in higher education).

Real‐estate firms need to pay attention to both the training of agents and the design and content of their websites.

This paper contributes to knowledge regarding virtual servicescapes in professional services.

This paper aims to test two hypotheses related to the supposedly negative impact of rent control on residential mobility: the mobility of renters is, first, negatively related to how attractive their residential areas are and, second, relatively high for renters living in properties built after 2005.

This paper estimates logit and multinomial logit regressions and models household moves. The multinomial logit regressions separate between short- and long-distance moves and between moves to rentals and to owned dwellings. This paper uses the “relative income” of the tenants’ residential areas to proxy area attractiveness. This paper estimates regressions for entire Sweden and the three largest “commuting” regions and municipalities, respectively.

The full sample provides support of both hypotheses in all regressions. Hypothesis one gets stronger support for moves to other rentals than moves to owned dwellings but about equally strong support for short- and long-distance moves. Hypothesis one obtains strongest support in Gothenburg municipality while hypothesis two obtains strongest support in the Malmö region. Also, hypothesis two obtains stronger support for short-distance moves than long-distance moves and slightly stronger support for moves to owned dwellings than those to rented dwellings.

This paper does not estimate “how much” rent control affects mobility, and results cannot be used to design specific rent setting policies. Results may be sensitive to how different types of moves are defined.

Efforts to reform rent setting policies in Sweden are encouraged.

To the best of the author’s knowledge, this paper’s two hypotheses are not tested before in Sweden and can be tested without control groups.

The “sharing economy” has blurred the lines between personal and commercial operations for many sectors of the economy. A convergence has occurred between hotel companies and home sharing platforms, as Airbnb is investing in brick-and-mortar hotels, and conversely hotel companies are investing in home sharing platforms as each of the sectors tends to mimic the other. Important aspects for the hosts of Airbnb are the quality of social interaction between guest and host and the level of authenticity of social exchanges provided by interactions with locals. There is both a quantitative and qualitative demonstration of professionalization within Airbnb's organization. The aim of this research is twofold: to measure to what extent guests are aware of the professional level of the host and to evaluate the importance of these professional aspects at the different moment of the vacation process (booking, stay, and post experience).