IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04679366.html
   My bibliography  Save this paper

Alternative payment models in the music streaming market: A comparative approach based on stream-level data

Author

Listed:
  • François Moreau

    (CEPN - Centre d'Economie de l'Université Paris Nord - LABEX ICCA - UP13 - Université Paris 13 - Université Sorbonne Nouvelle - Paris 3 - CNRS - Centre National de la Recherche Scientifique - UPCité - Université Paris Cité - Université Sorbonne Paris Nord - CNRS - Centre National de la Recherche Scientifique - Université Sorbonne Paris Nord, LABEX ICCA - UP13 - Université Paris 13 - Université Sorbonne Nouvelle - Paris 3 - CNRS - Centre National de la Recherche Scientifique - UPCité - Université Paris Cité - Université Sorbonne Paris Nord)

  • Patrik Wikström

    (QUT - Queensland University of Technology [Brisbane])

  • Ola Haampland

    (Inland Norway University of Applied Sciences - Høgskolen i Innlandet)

  • Rune Johannessen

    (Inland Norway University of Applied Sciences - Høgskolen i Innlandet)

Abstract

Music streaming platforms' models for sharing revenues with content providers have been the subject of intense debate for nearly a decade. The dominating model involves pooling platform revenues and allocating these funds to songs based on a song's share of the total number of platform streams. Since this model has several controversial consequences, alternative models have been proposed. This paper uses a novel approach to assess the two most discussed modelsthe "user-centric" and the "artist-centric". Our approach relies on a unique data set of 154,505 streaming platform users (890 million streams) and simulates how a large-scale implementation of these models may reallocate revenues across different songs and rightsholders. We disentangle the static effects of a transition to a "user-centric" or an "artist-centric" model across each of six different song characteristics. We then compare the results of the two models. We show that contrary to its objective, an artist-centric payment system does not significantly improve remuneration to professional artists while the user-centric payment system would generate more significant changes in revenue reallocation, mainly at the expense of Rap & Hip-hop songs, superstars and new releases. Finally, we analyze the positions of the various stakeholders with regard to each of them.

Suggested Citation

  • François Moreau & Patrik Wikström & Ola Haampland & Rune Johannessen, 2024. "Alternative payment models in the music streaming market: A comparative approach based on stream-level data," Post-Print hal-04679366, HAL.
  • Handle: RePEc:hal:journl:hal-04679366
    DOI: 10.1016/j.infoecopol.2024.101103
    Note: View the original document on HAL open archive server: https://hal.science/hal-04679366
    as

    Download full text from publisher

    File URL: https://hal.science/hal-04679366/document
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.infoecopol.2024.101103?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Marc Bourreau & François Moreau & Patrik Wikström, 2022. "Does digitization lead to the homogenization of cultural content?," Economic Inquiry, Western Economic Association International, vol. 60(1), pages 427-453, January.
    2. Saeed Alaei & Ali Makhdoumi & Azarakhsh Malekian & Saša Pekeč, 2022. "Revenue-Sharing Allocation Strategies for Two-Sided Media Platforms: Pro-Rata vs. User-Centric," Management Science, INFORMS, vol. 68(12), pages 8699-8721, December.
    3. Marc Bourreau & Romain Lestage & François Moreau, 2017. "E-commerce and the market structure of the recorded music industry," Applied Economics Letters, Taylor & Francis Journals, vol. 24(9), pages 598-601, May.
    4. Erik Brynjolfsson & Yu (Jeffrey) Hu & Duncan Simester, 2011. "Goodbye Pareto Principle, Hello Long Tail: The Effect of Search Costs on the Concentration of Product Sales," Management Science, INFORMS, vol. 57(8), pages 1373-1386, August.
    5. Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023. "When Should You Adjust Standard Errors for Clustering?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(1), pages 1-35.
    6. Janek Meyn & Michael Kandziora & Sönke Albers & Michel Clement, 2023. "Consequences of platforms' remuneration models for digital content: initial evidence and a research agenda for streaming services," Journal of the Academy of Marketing Science, Springer, vol. 51(1), pages 114-131, January.
    7. Dani Rodrik, 1996. "Understanding Economic Policy Reform," Journal of Economic Literature, American Economic Association, vol. 34(1), pages 9-41, March.
    8. Chung, Kee H & Cox, Raymond A K, 1994. "A Stochastic Model of Superstardom: An Application of the Yule Distribution," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 771-775, November.
    9. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    10. Lei, Xiaochang, 2023. "Pro-rata vs User-centric in the music streaming industry," Economics Letters, Elsevier, vol. 226(C).
    11. Handke, Christian, 2012. "Digital copying and the supply of sound recordings," Information Economics and Policy, Elsevier, vol. 24(1), pages 15-29.
    12. Wlömert, Nils & Papies, Dominik, 2016. "On-demand streaming services and music industry revenues — Insights from Spotify's market entry," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 314-327.
    13. Aguiar, Luis & Waldfogel, Joel, 2016. "Even the losers get lucky sometimes: New products and the evolution of music quality since Napster," Information Economics and Policy, Elsevier, vol. 34(C), pages 1-15.
    14. Hamlen, William A, Jr, 1991. "Superstardom in Popular Music: Empirical Evidence," The Review of Economics and Statistics, MIT Press, vol. 73(4), pages 729-733, November.
    15. Jens Hainmueller & Michael J. Hiscox & Sandra Sequeira, 2015. "Consumer Demand for Fair Trade: Evidence from a Multistore Field Experiment," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 242-256, May.
    16. Joel Waldfogel, 2017. "How Digitization Has Created a Golden Age of Music, Movies, Books, and Television," Journal of Economic Perspectives, American Economic Association, vol. 31(3), pages 195-214, Summer.
    Full references (including those not matched with items on IDEAS)

    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. Marc Bourreau & François Moreau & Patrik Wikström, 2022. "Does digitization lead to the homogenization of cultural content?," Economic Inquiry, Western Economic Association International, vol. 60(1), pages 427-453, January.
    2. Daniel Kaimann & Ilka Tanneberg & Joe Cox, 2021. "“I will survive”: Online streaming and the chart survival of music tracks," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 3-20, January.
    3. Tobias Kretschmer & Christian Peukert, 2020. "Video Killed the Radio Star? Online Music Videos and Recorded Music Sales," Information Systems Research, INFORMS, vol. 31(3), pages 776-800, September.
    4. Hannes Datta & George Knox & Bart J. Bronnenberg, 2018. "Changing Their Tune: How Consumers’ Adoption of Online Streaming Affects Music Consumption and Discovery," Marketing Science, INFORMS, vol. 37(1), pages 5-21, January.
    5. Ordanini, Andrea & Nunes, Joseph C., 2016. "From fewer blockbusters by more superstars to more blockbusters by fewer superstars: How technological innovation has impacted convergence on the music chart," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 297-313.
    6. Christian Peukert & Margaritha Windisch, 2023. "The Economics of Copyright in the Digital Age," CESifo Working Paper Series 10687, CESifo.
    7. Erdem Dogukan Yilmaz & Ivana Naumovska & Milan Miric, 2023. "Does imitation increase or decrease demand for an original product? Understanding the opposing effects of discovery and substitution," Strategic Management Journal, Wiley Blackwell, vol. 44(3), pages 639-671, March.
    8. Alagöz, Nazli, 2024. "Promotion and technological change in the music industry," Other publications TiSEM 511ceba0-62a0-4c60-a76c-f, Tilburg University, School of Economics and Management.
    9. Gustavo Berganti~nos & Juan D. Moreno-Ternero, 2023. "Revenue sharing at music streaming platforms," Papers 2310.11861, arXiv.org.
    10. Lohmann, Paul M. & Gsottbauer, Elisabeth & Doherty, Anya & Kontoleon, Andreas, 2022. "Do carbon footprint labels promote climatarian diets? Evidence from a large-scale field experiment," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).
    11. Christian Peukert & Imke Reimers, 2022. "Digitization, Prediction, and Market Efficiency: Evidence from Book Publishing Deals," Management Science, INFORMS, vol. 68(9), pages 6907-6924, September.
    12. Brinja Meiseberg, 2014. "Trust the artist versus trust the tale: performance implications of talent and self-marketing in folk music," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(1), pages 9-42, February.
    13. Budzinski, Oliver & Kohlschreiber, Marie & Kuchinke, Björn & Pannicke, Julia, 2019. "Does music quality matter for audience voters in a music contest?," Ilmenau Economics Discussion Papers 122, Ilmenau University of Technology, Institute of Economics.
    14. Aloys Prinz, 2017. "Rankings as coordination games: the Dutch Top 2000 pop song ranking," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(4), pages 379-401, November.
    15. Ashesh Rambachan & Jonathan Roth, 2020. "Design-Based Uncertainty for Quasi-Experiments," Papers 2008.00602, arXiv.org, revised Oct 2024.
    16. Cecilia Castaldo & Matilde Giaccherini & Giacomo Pallante & Alessandro Palma, 2024. "Unveiling Shades of Green Food beyond Labels. Evidence from an Online Experiment to Climate Adaptation," CESifo Working Paper Series 11161, CESifo.
    17. Doremus, Jacqueline, 2019. "Unintended impacts from forest certification: Evidence from indigenous Aka households in Congo," Ecological Economics, Elsevier, vol. 166(C), pages 1-1.
    18. Asger Lau Andersen & Niels Johannesen & Mia Jørgensen & José-Luis Peydró, 2020. "Monetary policy and inequality," Economics Working Papers 1761, Department of Economics and Business, Universitat Pompeu Fabra, revised Mar 2021.
    19. Archibong, Belinda & Annan, Francis & Ekhator-Mobayode, Uche, 2023. "The epidemic effect: Epidemics, institutions and human capital development," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 549-566.
    20. Sebastian Panthöfer, 2022. "Do doctors prescribe antibiotics out of fear of malpractice?," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 19(2), pages 340-381, June.

    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:hal:journl:hal-04679366. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.