IDEAS home Printed from https://ideas.repec.org/a/bla/ecaffa/v36y2016i2p204-211.html
   My bibliography  Save this article

Fair and Efficient Regulation of the Sharing Economy

Author

Listed:
  • Matthew Sinclair

Abstract

No abstract is available for this item.

Suggested Citation

  • Matthew Sinclair, 2016. "Fair and Efficient Regulation of the Sharing Economy," Economic Affairs, Wiley Blackwell, vol. 36(2), pages 204-211, June.
  • Handle: RePEc:bla:ecaffa:v:36:y:2016:i:2:p:204-211
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/ecaf.12179
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Judd Cramer & Alan B. Krueger, 2016. "Disruptive Change in the Taxi Business: The Case of Uber," American Economic Review, American Economic Association, vol. 106(5), pages 177-182, May.
    2. William D. Nordhaus, 2004. "Schumpeterian Profits in the American Economy: Theory and Measurement," NBER Working Papers 10433, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tomasz Zalega, 2020. "The Sharing Economy and the Behaviour of Young Polish Singles: The Case of BlaBlaCar," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 4, pages 105-134.
    2. Frederik Plewnia & Edeltraud Guenther, 2017. "Advancing a sustainable sharing economy with interdisciplinary research [Der Beitrag interdisziplinärer Forschung zu einer nachhaltigen Sharing Economy]," Sustainability Nexus Forum, Springer, vol. 25(1), pages 117-124, June.
    3. Murillo, David & Buckland, Heloise & Val, Esther, 2017. "When the sharing economy becomes neoliberalism on steroids: Unravelling the controversies," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 66-76.
    4. Steven Kane Curtis & Matthias Lehner, 2019. "Defining the Sharing Economy for Sustainability," Sustainability, MDPI, vol. 11(3), pages 1-25, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Scott Duke Kominers & Alexander Teytelboym & Vincent P Crawford, 2017. "An invitation to market design," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(4), pages 541-571.
    2. Wang, Wei & Miao, Wei & Liu, Yongdong & Deng, Yiting & Cao, Yunfei, 2022. "The impact of COVID-19 on the ride-sharing industry and its recovery: Causal evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 128-141.
    3. Tarduno, Matthew, 2021. "The congestion costs of Uber and Lyft," Journal of Urban Economics, Elsevier, vol. 122(C).
    4. Xu, Zhengtian & Yin, Yafeng & Zha, Liteng, 2017. "Optimal parking provision for ride-sourcing services," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 559-578.
    5. Elert, Niklas & Henrekson, Magnus, 2017. "Entrepreneurship and Institutions: A Bidirectional Relationship," Working Paper Series 1153, Research Institute of Industrial Economics, revised 05 May 2017.
    6. Darius Lakdawalla & Neeraj Sood, 2007. "The Welfare Effects of Public Drug Insurance," NBER Working Papers 13501, National Bureau of Economic Research, Inc.
    7. Magnus Henrekson & Anders Kärnä & Tino Sanandaji, 2022. "Schumpeterian entrepreneurship: coveted by policymakers but impervious to top-down policymaking," Journal of Evolutionary Economics, Springer, vol. 32(3), pages 867-890, July.
    8. Adam Millard-Ball & Liwei Liu & Whitney Hansen & Drew Cooper & Joe Castiglione, 2023. "Where ridehail drivers go between trips," Transportation, Springer, vol. 50(5), pages 1959-1981, October.
    9. Berger, Thor & Chen, Chinchih & Frey, Carl Benedikt, 2018. "Drivers of disruption? Estimating the Uber effect," European Economic Review, Elsevier, vol. 110(C), pages 197-210.
    10. Kräussl, Roman & Kräussl, Zsofia & Pollet, Joshua & Rinne, Kalle, 2024. "The performance of marketplace lenders," Journal of Banking & Finance, Elsevier, vol. 162(C).
    11. Yue Guo & Fu Xin & Xiaotong Li, 2020. "The market impacts of sharing economy entrants: evidence from USA and China," Electronic Commerce Research, Springer, vol. 20(3), pages 629-649, September.
    12. Magnus Henrekson & Tino Sanandaji, 2011. "Entrepreneurship and the theory of taxation," Small Business Economics, Springer, vol. 37(2), pages 167-185, September.
    13. Agam Gupta & Biswatosh Saha & Parthasarathi Banerjee, 2018. "Pricing decisions of car aggregation platforms in sharing economy: a developing economy perspective," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(5), pages 341-355, October.
    14. Yingjie Zhang & Beibei Li & Ramayya Krishnan, 2020. "Learning Individual Behavior Using Sensor Data: The Case of Global Positioning System Traces and Taxi Drivers," Information Systems Research, INFORMS, vol. 31(4), pages 1301-1321, December.
    15. Blume, Maximilian & Oberländer, Anna Maria & Röglinger, Maximilian & Rosemann, Michael & Wyrtki, Katrin, 2020. "Ex ante assessment of disruptive threats: Identifying relevant threats before one is disrupted," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    16. Maria Cesira Urzi Brancati & Annarosa Pesole & Enrique Fernandez Macias, 2019. "Digital Labour Platforms in Europe: Numbers, Profiles, and Employment Status of Platform Workers," JRC Research Reports JRC117330, Joint Research Centre.
    17. Lam, Chungsang Tom & Liu, Meng & Hui, Xiang, 2021. "The geography of ridesharing: A case study on New York City," Information Economics and Policy, Elsevier, vol. 57(C).
    18. Schaefers, Tobias & Leban, Marina & Vogt, Florian, 2022. "On-demand features: Consumer reactions to tangibility and pricing structure," Journal of Business Research, Elsevier, vol. 139(C), pages 751-761.
    19. Yujie Guo & Ying Chen & Yu Zhang, 2024. "Enhancing Demand Prediction: A Multi-Task Learning Approach for Taxis and TNCs," Sustainability, MDPI, vol. 16(5), pages 1-14, March.
    20. Lee, Junmin & Kim, Keungoui & Kim, Jiyong & Hwang, Junseok, 2022. "The relationship between shared mobility and regulation in South Korea: A system dynamics approach from the socio-technical transitions perspective," Technovation, Elsevier, vol. 109(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:ecaffa:v:36:y:2016:i:2:p:204-211. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0265-0665 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.