No Longer Unregulated, but Still Controversial: Home Sharing and the Sharing Economy

2019 ◽  
Author(s):  
Callum Ritchie ◽  
Brendan Grigg
Keyword(s):  
Sharing Economy ◽  
Technological Innovations ◽  
Property Law ◽  
Short Term ◽  
Rental Market ◽  
For Profit ◽  
Australian Context ◽  
The Impact ◽  
Made In

The short-term rental accommodation market has experienced incredible growth as a result of technological innovations. This article explores the impact of this phenomenon on property and the concept of ownership in Australia. It does so, first by drawing on Kellen Zale’s framework of sharing, which breaks down the activities associated with the sharing economy and applies it in the Australian context. This helps us understand that in many respects, short-term rental accommodation is better characterised as part of the sharing-for-profit economy. This characterisation explains and justifies the choices that Australian states and territories have made in regulating the short-term rental market. This article also analyses disputes that have arisen in Australia concerning short-term rentals, and concludes that whilst the sharing economy prioritises access to property over ownership of it, property law continues to protect the privilege of ownership.

The impact of Airbnb on a non-touristic city. A Case study of short-term rentals in Santa Cruz de Tenerife (Spain)

Erdkunde ◽  
2020 ◽  
Vol 74 (3) ◽  
pp. 191-204
Author(s):  
Marcus Hübscher ◽  
Juana Schulze ◽  
Felix zur Lage ◽  
Johannes Ringel
Keyword(s):  
Santa Cruz ◽  
Short Term ◽  
Rental Market ◽  
Rural Space ◽  
Use Of Data ◽  
Web Scraping ◽  
Per Capita ◽  
Per Se ◽  
The Impact

Short-term rentals such as Airbnb have become a persistent element of today’s urbanism around the globe. The impacts are manifold and differ depending on the context. In cities with a traditionally smaller accommodation market, the impacts might be particularly strong, as Airbnb contributes to ongoing touristification processes. Despite that, small and medium-sized cities have not been in the centre of research so far. This paper focuses on Santa Cruz de Tenerife as a medium-sized Spanish city. Although embedded in the touristic region of the Canary Islands, Santa Cruz is not a tourist city per se but still relies on touristification strategies. This paper aims to expand the knowledge of Airbnb’s spatial patterns in this type of city. The use of data collected from web scraping and geographic information systems (GIS) demonstrates that Airbnb has opened up new tourism markets outside of the centrally established tourist accommodations. It also shows that the price gap between Airbnb and the housing rental market is broadest in neighbourhoods that had not experienced tourism before Airbnb entered the market. In the centre the highest prices and the smallest units are identified, but two peripheral quarters stand out. Anaga Mountains, a natural and rural space, has the highest numbers of Airbnb listings per capita. Suroeste, a suburban quarter, shows the highest growth rates on the rental market, which implies a linkage between Airbnb and suburbanization processes.

scholarly journals Airbnb Short-term Housing Rental Status Prediction Model Under the Impact of the COVID-19 Pandemic

2021 ◽  
Vol 251 ◽  
pp. 01017
Author(s):  
Zhixiang Lu
Keyword(s):  
Machine Learning ◽  
New York ◽  
Regional Differences ◽  
Prediction Accuracy ◽  
Visual Analysis ◽  
Sharing Economy ◽  
Short Term ◽  
Emerging Industries ◽  
Machine Learning Model ◽  
The Impact

With the vigorous development of the sharing economy, the short-term rental industry has also spawned many emerging industries that belong to the sharing economy. However, due to the impact of the COVID-19 pandemic in 2020, many sharing economy industries, including the short-term housing leasing industry, have been affected. This study takes the rental information of 1,004 short-term rental houses in New York in April 2020 as an example, through machine learning and quantitative analysis, we conducted statistical and visual analysis on the impact of different factors on the housing rental status. This project is based on the machine learning model to predict the changes in the rental status of the house on the time series. The results show that the prediction accuracy of the random forest model has reached more than 94%, and the prediction accuracy of the logistic model has reached more than 74%. At the same time, we have further explored the impact of time span differences and regional differences on the housing rental status.

scholarly journals Progress in Pediatric Kidney Transplantation

2014 ◽  
Vol 7 (1) ◽  
pp. 115-122
Author(s):  
Jodi M. Smith ◽  
Vikas R. Dharnidharka
Keyword(s):  
Kidney Transplantation ◽  
Graft Survival ◽  
Pediatric Population ◽  
Short Term ◽  
Allocation Policy ◽  
Pediatric Kidney Transplantation ◽  
Timely Access ◽  
The Impact ◽  
Made In

Significant progress has been made in pediatric kidney transplantation. Advances in immunosuppression have dramatically decreased rates of acute rejection leading to improved short term graft survival but similar improvements in long term graft survival remain elusive. Changes in allocation policy provide the pediatric population with timely access to transplant but there remains concern about the impact of less HLA matching and a decrease in living donors. This report presents data from North America on these successes and the ongoing challenges that face the pediatric transplant community.

Impact of the sharing economy platform Airbnb on the destination

2021 ◽  
Author(s):  
Ľubica Šebová ◽  
Kristína Pompurová ◽  
Ivana Šimočková ◽  
Alica Albertová
Keyword(s):  
Sharing Economy ◽  
Occupancy Rate ◽  
Short Term ◽  
The Subject ◽  
Accommodation Sector ◽  
The Impact

The article focuses on the platform of sharing economy Airbnb and its impact on the destination. It examines the benefits and consequences of the Airbnb platform for the destination. The subject of the article is the platform of sharing economy - Airbnb. The object is a destination. The aim of the paper is to examine the impact of the largest platform of the sharing economy mediating short-term accommodation Airbnb on the destination. The selected destination is Slovakia. Article analyses the use of the platform Airbnb in Slovakia using selected indicators such as the number of offered accommodation facilities, their occupancy rate and average monthly revenue produced. It deals with the regulation of the sharing economy in the accommodation sector abroad and compares the rules for providing private accommodation in Slovakia. It proposes recommendations for the sharing economy in the field of tourism in Slovakia and maximization of positive benefits for the destination.

scholarly journals Microlending: What Business Can Do To Facilitate Community-Based Growth

2010 ◽  
Vol 26 (6) ◽  
Author(s):  
Mackenzie M. Festa ◽  
Alan J. Wilson ◽  
Presha E. Neidermeyer
Keyword(s):  
Third World ◽  
Foreign Assistance ◽  
Business Professionals ◽  
Short Term ◽  
Community Based ◽  
For Profit ◽  
Not For Profit ◽  
The Third World ◽  
Made In

<p class="NormalWeb1" style="text-align: justify; margin: 0in 0.5in 0pt; mso-pagination: none;"><span style="font-size: 10pt;"><span style="font-family: Times New Roman;">Billions of dollars have been expended in foreign assistance throughout the third world, with much of this aid being provided by the not-for-profit community. While frequently effective in facilitating short-term benefits, these projects often do not improve the continuing living conditions for the residents of the community.<span style="mso-spacerun: yes;">&nbsp; </span>Not-for-profits generally are in the business of short-term crisis relief; consequently, they do not have a focus on job provisions in the affected community that would increase their living standards in the long-term.<span style="mso-spacerun: yes;">&nbsp; </span>Entrepreneurs, on the other hand, are in the business of job creation, which not only provides long-term benefits for the entrepreneur, but also for the entire community.<span style="mso-spacerun: yes;">&nbsp; </span>Microlending, a term coined originally by Muhammad Yunus to describe very small loans made in third-world countries, has had an enormous impact on the lives of entrepreneurs, their families, and their communities.<span style="mso-spacerun: yes;">&nbsp; </span>Many not-for-profits may wish to employ the techniques illustrated by Yunus and other successful microlending institutions.<span style="mso-spacerun: yes;">&nbsp; </span>They may find the task overwhelming, however, without employing business professionals, whose services can be costly.<span style="mso-spacerun: yes;">&nbsp; </span>For not-for-profits who might be interested in starting such a program, this paper will describe the process of microlending, articulate methods of selecting a loan recipient, and show mechanisms for documenting a microloan.</span></span></p>

The Impact of Airbnb on Long-Term Rental Housing: The Case of Ljubljana

2021 ◽  
Vol 8 (1) ◽  
pp. 150-158
Author(s):  
Polona Obrč ◽  
◽  
Boštjan Kerbler ◽  
◽  
Keyword(s):  
Rental Housing ◽  
Sharing Economy ◽  
Large Share ◽  
Short Term ◽  
Positive Effects ◽  
Residential Characteristics ◽  
Direct Competition ◽  
The Impact ◽  
Overnight Stays

Airbnb has become a fixture in the development of global cities. It especially impacts cities’ residential characteristics. The company works with the concept of the sharing economy, the essence of which is the exchange of services or goods between individuals who set the rules of operation without generating profits, but together generate more revenue. It insists that it does not represent a form of direct competition with other urban accommodation services and that it merely seeks to expand the tourism market. Nonetheless, this article proceeds from the assumption that Airbnb is influencing and transforming the housing market of the cities it operates in. It focuses on Ljubljana, which until 2019 had a record number of international arrivals and overnight stays. The findings confirm that short-term Airbnb rentals have affected the long-term rental market in Ljubljana. They also show that a very large share of rentals through Airbnb take place in the grey economy. However, the analysis of cases from selected European cities showed that, in addition to the drawbacks described, Airbnb also has positive effects on the development of cities. It is therefore necessary to accept and adapt appropriately to this global phenomenon through specific measures, such as those proposed in the conclusion for Ljubljana.

Exploiting Network Fusion for Organizational Turnover Prediction

2021 ◽  
Vol 12 (2) ◽  
pp. 1-18
Author(s):  
Mingfei Teng ◽  
Hengshu Zhu ◽  
Chuanren Liu ◽  
Hui Xiong
Keyword(s):  
Social Networks ◽  
Intellectual Capital ◽  
Short Term Memory ◽  
Short Term ◽  
Convolutional Network ◽  
Multiple Networks ◽  
Memory Network ◽  
Long Short Term Memory ◽  
The Impact ◽  
Made In

As an emerging measure of proactive talent management, talent turnover prediction is critically important for companies to attract, engage, and retain talents in order to prevent the loss of intellectual capital. While tremendous efforts have been made in this direction, it is not clear how to model the influence of employees’ turnover within multiple organizational social networks. In this article, we study how to exploit turnover contagion by developing a Turnover Influence-based Neural Network (TINN) for enhancing organizational turnover prediction. Specifically, TINN can construct the turnover similarity network which is then fused with multiple organizational social networks. The fusion is achieved either through learning a hidden turnover influence network or through integrating the turnover influence on multiple networks. Taking advantage of the Graph Convolutional Network and the Long Short-Term Memory network, TINN can dynamically model the impact of social influence on talent turnover. Meanwhile, the utilization of the attention mechanism improves the interpretability, providing insights into the impact of different networks along time on the future turnovers. Finally, we conduct extensive experiments in real-world settings to evaluate TINN. The results validate the effectiveness of our approach to enhancing organizational turnover prediction. Also, our case studies reveal some interpretable findings, such as the importance of each network or hidden state which potentially impacts future organizational turnovers.

scholarly journals Why women judges really matter: The impact of women judges on property law outcomes in Kenya

2021 ◽  
pp. 096466392110079
Author(s):  
Martha Gayoye
Keyword(s):  
Institutional Change ◽  
Methodological Individualism ◽  
Property Law ◽  
Feminist Jurisprudence ◽  
Women Judges ◽  
Anglo American ◽  
The Impact ◽  
Scholarly Attention ◽  
Made In ◽  
International Women

In this paper, I discuss the impact that women judges have made in property law outcomes in Kenya. The study shows that women judges were able to influence a feminist jurisprudence in matrimonial property and inheritance disputes peripherally even though they were not sitting in some of those cases – through trainings of other [male] judges and informal interactions with colleagues. I argue that there is need to focus lens on the collaborative and networking programmes of women judges to bring about institutional change as opposed to a focus on individual women judges. The findings suggest that studies that focus on individual [women] judges have far less potential to uncover the impact of collective efforts of women judges. Existing studies are based largely on Anglo-American positivist methodologies that are based on methodological individualism over collectivism. It is no wonder that the collective efforts of women judges under the auspices of the International Women Judges Association has received little to no scholarly attention.

scholarly journals Professionalisation of short-term rentals and emergent tourism gentrification in post-crisis Thessaloniki

2021 ◽  
pp. 0308518X2198894
Author(s):  
Philipp Katsinas
Keyword(s):  
Quantitative Data ◽  
Local Community ◽  
Sharing Economy ◽  
International Competition ◽  
Short Term ◽  
Key Informants ◽  
Different Types ◽  
The Impact ◽  
Depth Interviews ◽  
Contextual Differences

This paper contributes to research on short-term rentals (STRs), their suppliers and their impact on housing and the local community, focusing on Thessaloniki, a recessionary city off the tourist map until recently. Through the conduction of in-depth interviews with hosts and other key informants, and the analysis of quantitative data on Airbnb listings, I argue that: (1) far from enabling a sharing economy, Airbnb facilitates (re)investment in housing by different types of hosts. But investors outcompete amateur hosts and contribute to the professionalisation of STRs and the concentration of revenues. (2) the extraction of higher rents through STRs leads to the displacement of tenants and to gentrification in cities previously considered as ungentrifiable, driven by increased tourism and the short-term character of these rentals. However, the type and scale of investors involved, and the impact of gentrification are conditioned by contextual differences and the position of cities in the international competition to attract tourists.

scholarly journals The airification of cities. Making sense of the impact of peer to peer short term letting on urban functions and economy

2019 ◽  
Author(s):  
Stefano Picascia ◽  
Antonello Romano ◽  
Michela Teobaldi
Keyword(s):  
Spatial Patterns ◽  
Supply And Demand ◽  
Sharing Economy ◽  
Peer To Peer ◽  
Economic Advantage ◽  
Short Term ◽  
Making Sense ◽  
The Impact ◽  
The Way

An in-depth look into the mechanics of short term rentals in Italy. The study is based on a vast dataset comprising of all the properties listed on the Airbnb website in 10 major cities in the years 2015, 2016 and 2017. We discuss the spatial patterns of Airbnb supply and demand within and between cities, we then hypothesize on the possible drivers of the Airbnb offer and suggest a possible way to assess whether Airbnb supply could be driven by an economic advantage of short-term over long term letting. We also discuss the way the benefits of this particular incarnation of the sharing economy are shared among participants. Finally, we conclude by presenting a possible alternative way of regulating Airbnb.

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