IDEAS home Printed from https://ideas.repec.org/a/zbw/kdijep/267885.html
   My bibliography  Save this article

Indirect Network Effect and Spillover Effect in Food Delivery Platforms

Author

Listed:
  • Lee, Gong

Abstract

I analyze how the food delivery market's indirect network effect and spillover effect influence the spread of food delivery platforms in different counties. This study finds that there is a positive local indirect network effect and a positive spillover effect in the adoption of the platform by examining the food delivery platform market in South Korea as of 2020. As food delivery platforms secure consumers who use them, more restaurants on the other side of a two-sided market adopt such platforms (indirect network effect). The spillover effect would allow other restaurants in a region to become more likely to adopt food delivery platforms if there are a greater number of restaurants in the region that use such platforms. This study contributes to the comprehension of technology diffusion and the marketing strategies of platform providers by providing empirical evidence of both effects.

Suggested Citation

  • Lee, Gong, 2022. "Indirect Network Effect and Spillover Effect in Food Delivery Platforms," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 44(4), pages 25-42.
  • Handle: RePEc:zbw:kdijep:267885
    DOI: 10.23895/kdijep.2022.44.4.25
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/267885/1/jep-44-4-25.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.23895/kdijep.2022.44.4.25?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. Sangin Park, 2004. "Quantitative Analysis of Network Externalities in Competing Technologies: The VCR Case," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 937-945, November.
    2. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    3. Wolfgang Keller, 2002. "Geographic Localization of International Technology Diffusion," American Economic Review, American Economic Association, vol. 92(1), pages 120-142, March.
    4. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    5. Goolsbee, Austan & Klenow, Peter J, 2002. "Evidence on Learning and Network Externalities in the Diffusion of Home Computers," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 317-343, October.
    6. Marc Rysman & Gautam Gowrisankaran & Minsoo Park, 2011. "Measuring Network Effects in a Dynamic Environment," Boston University - Department of Economics - Working Papers Series WP2011-061, Boston University - Department of Economics.
    7. Marc Rysman, 2004. "Competition Between Networks: A Study of the Market for Yellow Pages," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(2), pages 483-512.
    8. Jean-Pierre H. Dubé & Günter J. Hitsch & Pradeep K. Chintagunta, 2010. "Tipping and Concentration in Markets with Indirect Network Effects," Marketing Science, INFORMS, vol. 29(2), pages 216-249, 03-04.
    9. Hiroshi Ohashi, 2003. "The Role of Network Effects in the US VCR Market, 1978–1986," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 12(4), pages 447-494, December.
    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. Jullien, Bruno & Pavan, Alessandro & Rysman, Marc, 2021. "Two-sided Markets, Pricing, and Network Effects," TSE Working Papers 21-1238, Toulouse School of Economics (TSE).
    2. Daniel Björkegren, 2022. "Competition in network industries: Evidence from the Rwandan mobile phone network," RAND Journal of Economics, RAND Corporation, vol. 53(1), pages 200-225, March.
    3. Pinar Karaca-Mandic, 2011. "Role of complementarities in technology adoption: The case of DVD players," Quantitative Marketing and Economics (QME), Springer, vol. 9(2), pages 179-210, June.
    4. Jin‐Hyuk Kim & Peter Newberry & Liad Wagman & Ran Wolff, 2022. "Local Network Effects in the Adoption of a Digital Platform," Journal of Industrial Economics, Wiley Blackwell, vol. 70(3), pages 493-524, September.
    5. Daniel Birke, 2009. "The Economics Of Networks: A Survey Of The Empirical Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 23(4), pages 762-793, September.
    6. Marc Rysman & Gautam Gowrisankaran & Minsoo Park, 2011. "Measuring Network Effects in a Dynamic Environment," Boston University - Department of Economics - Working Papers Series WP2011-061, Boston University - Department of Economics.
    7. Scott K. Shriver, 2015. "Network Effects in Alternative Fuel Adoption: Empirical Analysis of the Market for Ethanol," Marketing Science, INFORMS, vol. 34(1), pages 78-97, January.
    8. El Hadi Caoui, 2019. "Estimating the Costs of Standardization: Evidence from the Movie Industry," CESifo Working Paper Series 8040, CESifo.
    9. Dietmar Harhoff & Elisabeth Mueller & John Van Reenen, 2014. "What are the Channels for Technology Sourcing? Panel Data Evidence from German Companies," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 23(1), pages 204-224, March.
    10. Bretschger, Lucas & Lechthaler, Filippo & Rausch, Sebastian & Zhang, Lin, 2017. "Knowledge diffusion, endogenous growth, and the costs of global climate policy," European Economic Review, Elsevier, vol. 93(C), pages 47-72.
    11. Hyuk-Soo Kwon & Jihong Lee & Sokbae Lee & Ryungha Oh, 2022. "Knowledge spillovers and patent citations: trends in geographic localization, 1976–2015," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 31(3), pages 123-147, April.
    12. Pedro de Faria & Francisco Lima, 2012. "Interdependence and spillovers: is firm performance affected by others’ innovation activities?," Applied Economics, Taylor & Francis Journals, vol. 44(36), pages 4765-4775, December.
    13. Sergey Lychagin & Joris Pinkse & Margaret E. Slade & John Van Reenen, 2016. "Spillovers in Space: Does Geography Matter?," Journal of Industrial Economics, Wiley Blackwell, vol. 64(2), pages 295-335, June.
    14. Keith Head & Yao Amber Li & Asier Minondo, 2019. "Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics," The Review of Economics and Statistics, MIT Press, vol. 101(4), pages 713-727, October.
    15. Bahar, Dany & Hausmann, Ricardo & Hidalgo, Cesar A., 2014. "Neighbors and the evolution of the comparative advantage of nations: Evidence of international knowledge diffusion?," Journal of International Economics, Elsevier, vol. 92(1), pages 111-123.
    16. Lisa Evers & Helen Miller & Christoph Spengel, 2015. "Intellectual property box regimes: effective tax rates and tax policy considerations," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(3), pages 502-530, June.
    17. Jan Fagerberg & Maryann Feldman & Martin Srholec, 2011. "Technological Dynamics and Social Capability: Comparing U.S. States and European Nations," Working Papers on Innovation Studies 20111114, Centre for Technology, Innovation and Culture, University of Oslo.
    18. repec:got:cegedp:140 is not listed on IDEAS
    19. Todo, Yasuyuki & Miyamoto, Koji, 2006. "Knowledge Spillovers from Foreign Direct Investment and the Role of Local R&D Activities: Evidence from Indonesia," Economic Development and Cultural Change, University of Chicago Press, vol. 55(1), pages 173-200, October.
    20. Lee, Sang-Ho & Muminov, Timur & Chen, Jiaqi, 2019. "Timing of R&D Decisions and Output Subsidies in a Mixed Duopoly with Spillovers," MPRA Paper 91452, University Library of Munich, Germany.
    21. Griffith, Rachel & Lee, Sokbae & Straathof, Bas, 2017. "Recombinant innovation and the boundaries of the firm," International Journal of Industrial Organization, Elsevier, vol. 50(C), pages 34-56.

    More about this item

    Keywords

    Network Effect; Spillover Effect; Food Delivery Platforms; COVID-19; South Korea;
    All these keywords.

    JEL classification:

    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • L87 - Industrial Organization - - Industry Studies: Services - - - Postal and Delivery Services
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

    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:zbw:kdijep:267885. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/kdiiikr.html .

    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.