IDEAS home Printed from https://ideas.repec.org/a/bde/journl/y2020i12daan38.html
   My bibliography  Save this article

Effects of e-commerce on prices and business competition

Author

Listed:
  • Aitor Lacuesta
  • Pau Roldan
  • Darío Serrano-Puente

Abstract

This article describes the boom of recent years in e-commerce in Spain, which reached a 14% share of sales in 2016, similar to the euro area average. The COVID-19 pandemic may have accelerated this trend, with some authors indicating a 6 pp increase in the share of sales during March of this year to over 20%. This article reviews the academic literature analysing potential price differences for the same product depending on whether it is sold in a traditional establishment or through a digital platform. The papers assessed do not observe significant price differences between the two markets. They also show that online markets display some of the same characteristics that are observed in traditional markets, such as a low frequency of price changes and high price dispersion for the same product sold in different online points of sale. Lastly, it is estimated that the development of e-commerce has nurtured business competition in Spain, reducing mark-ups. However, there is no evidence that corporate profits have been affected, which may reflect lower fixed costs associated with the sourcing of certain inputs for digital channels.

Suggested Citation

  • Aitor Lacuesta & Pau Roldan & Darío Serrano-Puente, 2020. "Effects of e-commerce on prices and business competition," Economic Bulletin, Banco de España, issue 4/2020.
  • Handle: RePEc:bde:journl:y:2020:i:12:d:aa:n:38
    Note: Analytical Articles
    as

    Download full text from publisher

    File URL: https://www.bde.es/f/webbde/SES/Secciones/Publicaciones/InformesBoletinesRevistas/ArticulosAnaliticos/20/T4/descargar/Files/be2004-art38e.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yuriy Gorodnichenko & Oleksandr Talavera, 2017. "Price Setting in Online Markets: Basic Facts, International Comparisons, and Cross-Border Integration," American Economic Review, American Economic Association, vol. 107(1), pages 249-282, January.
    2. Hansen, Stephen & Carvalho, Vasco & García, Juan Ramón & Ortiz, Alvaro & Rodrigo, Tomasa & Rodríguez Mora, José V & Ruiz, Pep, 2020. "Tracking the COVID-19 Crisis with High-Resolution Transaction Data," CEPR Discussion Papers 14642, C.E.P.R. Discussion Papers.
    3. Yuriy Gorodnichenko & Viacheslav Sheremirov & Oleksandr Talavera, 2018. "Price Setting in Online Markets: Does IT Click?," Journal of the European Economic Association, European Economic Association, vol. 16(6), pages 1764-1811.
    4. Alberto Cavallo, 2017. "Are Online and Offline Prices Similar? Evidence from Large Multi-channel Retailers," American Economic Review, American Economic Association, vol. 107(1), pages 283-303, January.
    5. Austan D. Goolsbee & Peter J. Klenow, 2018. "Internet Rising, Prices Falling: Measuring Inflation in a World of E-Commerce," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 488-492, May.
    6. Greg Kaplan & Guido Menzio, 2015. "The Morphology Of Price Dispersion," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 1165-1206, November.
    7. Austan D. Goolsbee & Peter J. Klenow, 2018. "Internet Rising, Prices Falling: Measuring Inflation in a World of E-Commerce," NBER Working Papers 24649, National Bureau of Economic Research, Inc.
    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. Patrick Bajari & Zhihao Cen & Victor Chernozhukov & Manoj Manukonda & Suhas Vijaykumar & Jin Wang & Ramon Huerta & Junbo Li & Ling Leng & George Monokroussos & Shan Wan, 2023. "Hedonic Prices and Quality Adjusted Price Indices Powered by AI," Papers 2305.00044, arXiv.org, revised Apr 2025.
    2. Macias, Paweł & Stelmasiak, Damian & Szafranek, Karol, 2023. "Nowcasting food inflation with a massive amount of online prices," International Journal of Forecasting, Elsevier, vol. 39(2), pages 809-826.
    3. Ha,Jongrim & Ivanova,Anna & Ohnsorge,Franziska Lieselotte & Unsal Portillo Ocando,Derya Filiz, 2019. "Inflation : Concepts, Evolution, and Correlates," Policy Research Working Paper Series 8738, The World Bank.
    4. Alberto Cavallo & Oleksiy Kryvtsov, 2024. "Price Discounts and Cheapflation during the Post-Pandemic Inflation Surge," NBER Chapters, in: Inflation in the COVID Era and Beyond, National Bureau of Economic Research, Inc.
    5. Alberto Cavallo, 2018. "More Amazon Effects: Online Competition and Pricing Behaviors," NBER Working Papers 25138, National Bureau of Economic Research, Inc.
    6. Alberto Bracci & Jorn Boehnke & Abeer ElBahrawy & Nicola Perra & Alexander Teytelboym & Andrea Baronchelli, 2021. "Macroscopic properties of buyer-seller networks in online marketplaces," Papers 2112.09065, arXiv.org, revised Apr 2022.
    7. Anderton, Robert & Jarvis, Valerie & Labhard, Vincent & Morgan, Julian & Petroulakis, Filippos & Vivian, Lara, 2020. "Virtually everywhere? Digitalisation and the euro area and EU economies," Occasional Paper Series 244, European Central Bank.
    8. Doris Ritzberger-Grünwald & Fabio Rumler, 2019. "Challenges for measuring inflation in a digital world from a monetary policy perspective," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue Q3/19, pages 42-53.
    9. Nicoletta Berardi, 2023. "The Elusive Law of One Retail Chain Price," Journal of Industry, Competition and Trade, Springer, vol. 23(3), pages 261-281, December.
    10. Rudolf, Barbara & Seiler, Pascal, 2022. "Price setting before and during the pandemic: evidence from Swiss consumer prices," Working Paper Series 2748, European Central Bank.
    11. Paul Dolfen & Liran Einav & Peter J. Klenow & Benjamin Klopack & Jonathan D. Levin & Larry Levin & Wayne Best, 2023. "Assessing the Gains from E-Commerce," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(1), pages 342-370, January.
    12. José Anson & Mauro Boffa, 2018. "Consumer Arbitrage in Cross-Border E-commerce," RSCAS Working Papers 2018/17, European University Institute.
    13. Alex Nikolsko‐Rzhevskyy & Oleksandr Talavera & Nam Vu, 2023. "The flood that caused a drought," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 965-981, October.
    14. Jouchi Nakajima & Masato Takahashi & Tomoyuki Yagi, "undated". "An Assessment of Online Consumption Trends in Japan during the COVID-19 Pandemic," Bank of Japan Working Paper Series 22-E-11, Bank of Japan.
    15. Peng, Cong, 2019. "Does e-commerce reduce traffic congestion? Evidence from Alibaba Single Day shopping event," LSE Research Online Documents on Economics 103411, London School of Economics and Political Science, LSE Library.
    16. Solórzano, Diego, 2024. "Grab a bite? Prices in the food away from home industry during the COVID-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 435-464.
    17. Marco Bonomo & Carlos Carvalho & Oleksiy Kryvtsov & Sigal Ribon & Rodolfo Rigato, 2020. "Multi-Product Pricing: Theory and Evidence from Large Retailers in Israel," Staff Working Papers 20-12, Bank of Canada.
    18. Yim, Sung Taek & Son, Jong Chil & Lee, Jiwon, 2022. "Spread of E-commerce, prices and inflation dynamics: Evidence from online price big data in Korea," Journal of Asian Economics, Elsevier, vol. 80(C).
    19. Drenik, Andrés & Perez, Diego J., 2020. "Price setting under uncertainty about inflation," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 23-38.
    20. Nagengast, Arne J. & Bursian, Dirk & Menz, Jan-Oliver, 2021. "Dynamic pricing and exchange rate pass-through: Evidence from transaction-level data," European Economic Review, Elsevier, vol. 133(C).

    More about this item

    Keywords

    e-commerce; mark-ups; online markets; price dispersion.;
    All these keywords.

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

    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:bde:journl:y:2020:i:12:d:aa:n:38. 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: Ángel Rodríguez. Electronic Dissemination of Information Unit. Research Department. Banco de España (email available below). General contact details of provider: https://edirc.repec.org/data/bdegves.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.