Square Pegs in a Round Hole: SEC Regulation of Online Peer-To-Peer Lending and the CFPB Alternative
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The Market Impacts of Sharing Economy Entrants: Evidence from USA and China
Electronic Commerce Research https://doi.org/10.1007/s10660-018-09328-1 The market impacts of sharing economy entrants: evidence from USA and China Yue Guo1,2 · Fu Xin1 · Xiaotong Li3 © The Author(s) 2019 Abstract This paper studies the link between the difusion of the sharing economy and tra- ditional mature industries by empirically examining the economic impacts of shar- ing economy entrants. This study adds to the ongoing debate over whether and how ride-hailing platforms infuence new car sales in USA and China. Our results sug- gest that the short-term impact of Didi Chuxing’s entry on new car sales is positive. Unlike the efect of Didi Chuxing on new car sales in China, Uber’s entry nega- tively infuences new car sales in USA. The entry of Didi Chuxing is related to a 9.24% increase in new car sales in China and the entry of Uber is related to an 8.1% decrease in new car sales in USA. We further empirically confrm that the impact of ride-hailing companies is trivial in small cities. Keywords Collaborative consumption models · Uber · Didi · Ride-hailing services · Sharing economy · Two-sided platforms 1 Introduction Over the last few years, the rapid proliferation of smartphones and the associated applications have fueled rapid growth of the online sharing economy, such as those of Uber, Airbnb, Lyft, Turo, and Peerby. These emerging online peer-to-peer plat- forms, collectively known as ‘collaborative consumption’, have made a great deal * Fu Xin [email protected] * Xiaotong Li [email protected] Yue Guo [email protected] 1 Hohai Business School, Hohai University, Nanjing, China 2 King’s Business School, King’s College London, London, UK 3 College of Business, University of Alabama in Huntsville, Huntsville, AL 35899, USA Vol.:(0123456789)1 3 Y. -
Network Effects, Consumer Expectations and Ride-Hailing Rivalries: Understanding How Platform Entries Influence New Car Sales
Proceedings of the 52nd Hawaii International Conference on System Sciences | 2019 Network Effects, Consumer Expectations and Ride-hailing Rivalries: Understanding How Platform Entries Influence New Car Sales Yue Guo Xiaotong Li Xiaohua Zeng King’s College London University of Alabama in Huntsville King’s College London [email protected] [email protected] [email protected] Abstract platform provider in China1) impact new car sales. Their empirical analysis shows that, within a one-year The gradual entries of ride-hailing platforms period, the entry of Didi Chuxing can meaningfully across China provide us with a unique opportunity to increase new car sales. This result is somewhat examine the interplay among network effects, unexpected because conventional wisdom suggests consumer expectations and platform competition in the that, as using ride-hailing apps becomes more sharing economy. While recent empirical evidence affordable and convenient, most people will have shows that the initial entry of Didi Chuxing (the weaker incentives to purchase a new car. Indeed, many leading ride-hailing platform in China) positively Uber users have postponed their new car purchases impacts new car sales in the short run, our study because of the prevalence of ride-hailing services [24]. demonstrates that, once the time window of Moreover, facing increasingly intense competition investigation is expanded from one year to three years, from the ride-hailing platforms, many taxi companies the impacts of entries on new car sales turn negative. have a strong disincentive to expand their fleets. Guo In addition, our analysis provides evidence suggesting et al. [36] justify their empirical results by pointing out that intensified competition resulting from platform that, as many potential drivers in China need to acquire rivalries can boost new car sales to alleviate the new cars to register for Didi Chuxing, the entries of negative impacts in the short run. -
Three Provocations for Civic Crowdfunding1 Rodrigo Davies
DRAFT – Do not cite without permission Three Provocations for Civic Crowdfunding1 Rodrigo Davies Abstract The rapid rise of crowdfunding in the past five years, most prominently among US-based platforms such as Kickstarter and IndieGoGo, has begun to attract the attention of a wide range of scholars, policymakers and practitioners. This paper considers civic crowdfunding — the use of crowdfunding for projects that produce community or quasipublic assets — and argues that its emergence demands a fresh set of questions and approaches. The work draws on critical case studies constructed through fieldwork in the US, the UK and Brazil, and a discourse analysis of civic crowdfunding projects collected from platforms by the author. It offers three provocations to scholars and practitioners considering the practice, questioning the extent to which civic crowdfunding is participatory, the extent to which it addresses or contributes to social inequality, and the extent to which it augments or weakens the role of public institutions. In doing so, it finds that civic crowdfunding is capable of vastly divergent outcomes, and argues that the extent to which civic crowdfunding produces outcomes that are beneficial, rather than harmful to the public sphere, will be determined by the extent to which the full range of stakeholders in civic life participate in the practice. 1 This is a draft of Davies, Rodrigo (2015), "Three Provocations for Civic Crowfunding". Information, Communication and Society, 18 (3). Routledge. DOI: 10.1080/1369118X.2014.989878. Do not cite without permission. 1 Electronic copy available at: http://ssrn.com/abstract=2546206 DRAFT – Do not cite without permission The emergence of crowdfunding since 2008 has begun to attract the attention of a wide range of scholars, policymakers and practitioners, spurred by the success of US-based platforms such as Kickstarter and IndieGoGo. -
An Assessment of the Uber App's Normative Practice
An assessment of the Uber app's normative practice Citation for published version (APA): Boshuijzen-Van Burken, C., & Haftor, D. M. (2017). An assessment of the Uber app's normative practice. Philosophia Reformata, 82(2), 192-215. https://doi.org/10.1163/23528230-08202006 DOI: 10.1163/23528230-08202006 Document status and date: Published: 01/01/2017 Document Version: Publisher’s PDF, also known as Version of Record (includes final page, issue and volume numbers) Please check the document version of this publication: • A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. -
Boston Employees Receive a 35% Discount on Bus, Train, Or Management Association (ABC Commuter Rail MBTA Passes (Up to $50 Per Month)
Employee Commuter MBTA Discounts Benefit Programs Faculty & Staff Sustainable Tufts is a member of A Better City Transportation Boston employees receive a 35% discount on bus, train, or Management Association (ABC commuter rail MBTA passes (up to $50 per month). Save TMA), which provides incentives cash by using pre-tax money to buy your train, bus, and and programs for encouraging subway tickets and/or your vanpool or commuter parking. Commuting commuters to take public transit, carpool, vanpool, bike, For more details, visit go.tufts.edu/commuterbenefits. and/or walk to work. For more information or to sign up for any ABC TMA programs, visit abctma.com. Employees Students on the Boston campus are eligible to participate in the Boston-based Health Science School students (Medical, following programs: Dental, and Nutrition Schools and Public Health Professional Boston Campus Degree programs) are eligible to purchase an MBTA Guaranteed Ride Home semester or monthly pass at a 25% discount over regular If you use public transit, car/vanpool, bike, or walk to work “T” prices. Each student is entitled to one pass. You must at least three times a week, you can receive up to six free bring your Tufts ID to pick up your pass. For details and the rides home each year for emergencies, unscheduled reimbursement period schedule, visit finance.tufts.edu/ overtime, or illness. Guaranteed rides home are provided controller/bursar/mbta-passes or call the Bursar’s Office through Metro Cab. You can book a cab through the Boston at 617-626-6551. Metro Cab app or by calling 617-782-5500. -
A Trillion Dollar Market by the People, for the People How Marketplace Lending Will Remake Banking As We Know It
VI. TOO BIG TO SUCCEED, TOO SLOW TO REACT 1 A Trillion Dollar Market By the People, For the People How Marketplace Lending Will Remake Banking As We Know It BY CHARLES MOLDOW GENERAL PARTNER, FOUNDATION CAPITAL A TRILLION DOLLAR MARKET BY THE PEOPLE, FOR THE PEOPLE VI. TOO BIG TO SUCCEED, TOO SLOW TO REACT 2 Introduction 3 I. Putting the Market Back into Market Economics 4 II. Revolution in the Guise of Cosmetic Surgery 6 III. No Country for Middle Men 9 IV. A $870B+ Industry Table of 15 V. The Maxims 18 Contents MAXIM I: Data, Data, Data Successful players will out-FICO FICO and be fairer than Fair Isaac. MAXIM II: Connections & Liquidity It’s not just about matchmaking but also market-making. MAXIM III: Formidable Barriers Marketplace platforms are neither easy to start nor easy to scale. MAXIM IV: Built to Last Marketplace lenders should be built not just to disrupt but to displace. VI. Too Big to Succeed, Too Slow to React 31 A TRILLION DOLLAR MARKET BY THE PEOPLE, FOR THE PEOPLE VI. TOO BIG TO SUCCEED, TOO SLOW TO REACT 3 Introduction Traditional lending works well. For the banks. BANK BORROWING COSTS AT AN ALLTIME LOW, For centuries, banking has remained fundamentally unchanged. In the simplest NET YIELD AT ALLTIME HIGH terms, banks match savers with borrowers. They pay interest for deposits and make loans to businesses and consumers. Depositors see their savings grow, 20% borrowers use the capital. Banks profi t handsomely on the spread. Historical Short-Term Unsecured Loans Interest Rate Banks, as intermediaries, have always added to the cost of borrowing and lending 15% – that’s the price we pay as a society for their market-making abilities. -
Boston Campus
Employee Commuter MBTA Discounts Benefit Programs Faculty & Staff Boston employees receive a 35% discount on bus, train, or Sustainable Tufts is a member of A Better City commuter rail MBTA passes (up to $50 per month). Save cash Transportation Management by using pre-tax money to buy your train, bus, and subway Association (ABC TMA), which provides incentives and tickets and/or your vanpool or commuter parking. For more programs for encouraging people to commute sustainably. details, visit go.tufts.edu/commuterbenefits. Commuting For more information or to sign up for any ABC TMA programs, visit abctma.com. Boston campus employees are Students go.tufts.edu/mbtadiscount eligible to participate in the following programs: Boston-based, full-time students in Tufts Health Science School programs can purchase an MBTA Semester Pass at a Bus + Boat 35% discount. Boston Campus If you currently drive alone to work, 1. Log into SIS: sis.tufts.edu ABC TMA will reimburse you up to $150 for the cost of 2. Navigate to the “Bills & Balances” tab your monthly pass over the course of three months when 3. Click “Purchase MBTA Pass” you switch from driving alone. The pass can be for MBTA Order Fall passes by Aug. 8th and Spring passes by Dec. 8th. express bus, commuter boat, or private bus carrier (Note: Each student is entitled to one pass. this offer does not apply to regular bus or subway services). Transit Tip: Carpool Subsidy Use a Charlie Card to avoid a If you’ve been driving alone to work and surcharge for paper tickets. -
What 2017 Has in Store for Fintech ANALYST NOTE by EVAN B
What 2017 Has in Store for Fintech ANALYST NOTE BY EVAN B. MORRIS Contents Introduction Fintech saw a much more interesting 2016 after a 2015 when the Online Lending 1-3 subsector looked ripe for ascendency. Tumult in the high-yield credit Bitcoin/Blockchain 4-6 market rocked the calculus of alternative finance, and digital currencies faced both scandal and huge rallies. Huge name brands both entered, Asset Management 7-8 exited and doubled down on the fintech arena including Amazon, Goldman Sachs and SoftBank. As we look ahead to 2017, this analyst note highlights some of the largest recent transactions as well as the most exciting business models and market opportunities in the New Year CONTACT and beyond. PitchBook Data, Inc. pitchbook.com RESEARCH [email protected] Online Lending Challenge: Managing loan books once lending activity plateaus 2016 saw a number of high profile snafus as well as milestones for the maturing marketplace lending industry. Lending Club, one of the few publically traded online lenders, faced a controversial scandal which saw it mismark loans sold in bulk to Jefferies. Even after recovering and Note: This analyst note sacking their CEO, LendingClub (NYSE: LC) as shares fell 52% over the covers the fintech course of 2016. B2B lender OnDeck (NYSE: ONDK) fell even further as subsectors upon which shares were down 55% at year end. Lenders such as SoFi, Kabbage and PitchBook initiated Avant have been wise to delay IPOs given the current climate. coverage in 2016. One promising development in regards to the industry’s maturation has been the continued push toward securitization as a source of capital for marketplace lenders. -
What Drives the Expansion of the Peer-To-Peer Lending?
What drives the expansion of the peer-to-peer lending? Olena Havrylchyk1, Carlotta Mariotto2, Talal Rahim3, Marianne Verdier4 Abstract Peer-to-peer lending platforms are online intermediaries that match lenders with borrowers. We use data from the two leading online lenders, Prosper and Lending Club, to explore main drivers of their expansion in the United States. We exploit the heterogeneity in local lending markets at the county level to analyze three hypotheses for the penetration of online lenders: 1) crisis- related; 2) competition-related; and 3) Internet-related. Our findings support the competition- related hypothesis as online lenders have expanded more in areas with lower density of branch network and lower bank concentration that we interpret as weaker brand loyalty. We also document that spatial, socio-economic and demographic characteristics determine the expansion of online lenders. JEL codes: G21, G23, G01, O33, D40 Keywords: peer-to-peer lending, online lenders, market structure, brand loyalty, financial crisis, internet, information and communication technologies 1 LEM, University of Lille; CEPII and Labex ReFi, contact: [email protected] 2 CERNA, Ecole des Mines de Paris, contact: [email protected] 3 Boston University, contact: [email protected] 4 CRED, University Paris 2 Panthéon Assas, and CERNA, Ecole des Mines de Paris, contact : [email protected] Electronic copy available at: http://ssrn.com/abstract=2841316 “Banking is necessary; banks are not” Bill Gates, 1990 “Is information technology going to disrupt finance? My first response is: please. My second response is: yes.” Martin Wolf, 2016 1. Introduction First peer-to-peer (P2P) lending platforms, Zopa, Prosper and Lending Club, have been launched in 2005-2007 in the UK and the US. -
A Machine Learning Framework for Profitability Profiling and Dynamic Price Prediction for the New York City Taxi Trips
International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-9 Issue-5, March 2020 A Machine Learning Framework for Profitability Profiling and Dynamic Price Prediction for the New York City Taxi Trips Shylaja S, Kannika Nirai Vaani M existence for the past few years. Such taxi services that are Abstract: The New York City Taxi & Limousine Commission’s enabled by GPS have the potential to collect the location data (NYC TLC) Yellow cabs are facing increased competition from related to every trip. This is considered a rich source of app-based car services such as Ola, Uber, Didi, Lyft and Grab information to dig into meaningful insights related to demand which is rapidly eating away its revenue and market share. from passengers and the mobility patterns of the passengers. Research work: In response to this, the study proposes to do The recorded GPS data has numerous applications in the profitability profiling of the taxi trips to focus on various key aspects that generate more revenue in future, visualization to Industry of private commercial transportation such as assess the departure and arrival counts of the trips in various identification of popular pickup points, estimation of demand locations based on time of the day to maintain demand and supply as per the day, week or month and monitoring of the traffic. equilibrium and also build a dynamic price prediction model to In general, some of the important questions to be addressed balance both margins as well as conversion rates. to increase the profitability of private commercial Methodology/Techniques used: The NYC TLC yellow taxi trip transportation businesses are (a) which are the popular data is analysed through a cross-industry standard process for destinations most passengers travel to? (b) Which are the data mining (CRISP-DM) methodology. -
Predicting Fundraising Performance in Medical Crowdfunding Campaigns Using Machine Learning
electronics Article Predicting Fundraising Performance in Medical Crowdfunding Campaigns Using Machine Learning Nianjiao Peng 1 , Xinlei Zhou 2 , Ben Niu 1,3 and Yuanyue Feng 1,* 1 College of Management, Shenzhen University, Shenzhen 518061, China; [email protected] (N.P.); [email protected] (B.N.) 2 College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518061, China; [email protected] 3 Greater Bay Area International Institute for Innovation, Shenzhen University, Shenzhen 518061, China * Correspondence: [email protected]; Tel.: +86-18682456820 Abstract: The coronavirus disease (COVID-19) pandemic has flooded public health organizations around the world, highlighting the significance and responsibility of medical crowdfunding in filling a series of gaps and shortcomings in the publicly funded health system and providing a new fundraising solution for people that addresses health-related needs. However, the fact remains that medical fundraising from crowdfunding sources is relatively low and only a few studies have been conducted regarding this issue. Therefore, the performance predictions and multi-model comparisons of medical crowdfunding have important guiding significance to improve the fundraising rate and promote the sustainable development of medical crowdfunding. Based on the data of 11,771 medical crowdfunding campaigns from a leading donation-based platform called Weibo Philanthropy, machine-learning algorithms were applied. The results demonstrate the potential of ensemble-based machine-learning algorithms in the prediction of medical crowdfunding project fundraising amounts and leave some insights that can be taken into consideration by new researchers and help to produce new management practices. Citation: Peng, N.; Zhou, X.; Niu, B.; Keywords: crowdfunding; medical crowdfunding; machine learning; fundraising prediction; weibo Feng, Y. -
What Airbnb, Turo, and Other Accommodation-Sharing Services Mean for Cities
Penn State Journal of Law & International Affairs Volume 8 Issue 1 May 2020 Life in a Sharing Economy: What AirBNB, Turo, and Other Accommodation-Sharing Services Mean for Cities Zoe McKenzie Follow this and additional works at: https://elibrary.law.psu.edu/jlia Part of the International and Area Studies Commons, International Law Commons, International Trade Law Commons, and the Law and Politics Commons ISSN: 2168-7951 Recommended Citation Zoe McKenzie, Life in a Sharing Economy: What AirBNB, Turo, and Other Accommodation-Sharing Services Mean for Cities, 8 PENN. ST. J.L. & INT'L AFF. 350 (2020). Available at: https://elibrary.law.psu.edu/jlia/vol8/iss1/11 The Penn State Journal of Law & International Affairs is a joint publication of Penn State’s School of Law and School of International Affairs. Penn State Journal of Law & International Affairs 2020 VOLUME 8 NO. 1 LIFE IN A SHARING ECONOMY: WHAT AIRBNB, TURO, AND OTHER ACCOMMODATION-SHARING SERVICES MEAN FOR CITIES Zoe McKenzie* ABSTRACT Peer-to-peer accommodation sharing has taken the world by storm. The rapid rise in popularity and prevalence of sites such as Airbnb, Homestay, VRBO, and others has changed the way people travel. Not only do such sites offer increased variety, they also offer consistently lower prices than traditional hotels. It is therefore unsurprising that many travelers choose to forego the hotel and book on Airbnb or its counterparts. Peer-to-peer accommodation sharing has enjoyed such success that its model is spreading beyond home rentals, and now includes car sharing, campsite sharing, and more. With more listings being created daily, it seems that accommodation sharing is here to stay.