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Buyer power: its definition and measurement

In: Competition Policy and the Control of Buyer Power

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Abstract

This chapter provides an analysis of buyer power and its measurement. It starts by pointing out that for competition policy the distinction between ‘monopsony’ and ‘buyer power’ is only a matter of degree. A firm possessing either form of power can engage in abusive conduct. Hence, the appropriate focus is on the potential for abuse rather than some abstract label. Buyer power can be usefully separated into two categories. The first involves situations where the buyer is obtaining inputs or components for its product. The second situation involves the distribution of branded consumer goods. The sources of power in the two situations are different and the structural thresholds of concern are also different. Branded good producers need a wide range of outlets and so can be more vulnerable to exploitation of buyer power by multiple buyers than component producers who only need to have sufficient options for sales. The chapter concludes by identifying three factors that increase the potential for buyer power exploitation: the buyer is usually the key decider with respect to both purchase in general and from whom to purchase, arbitrage is much less feasible for producers relative to the options that buyers have, and the nature of buying markets makes self-correction by the market of buyer power inherently more difficult.

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  • ., 2017. "Buyer power: its definition and measurement," Chapters, in: Competition Policy and the Control of Buyer Power, chapter 3, pages 38-78, Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:15260_3
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    Cited by:

    1. Simon, Larissa & Bilger, Rebecca & Ferdinand, Hans-Michael, 2018. "Google Zukunftswerkstatt für KMU," Markenbrand: Die Strategiequelle - Zeitschrift für Markenstrategie, Hochschule Neu-Ulm, Kompetenzzentrum Marketing & Branding, issue 7/2018, pages 25-34.
    2. Gupta, Shivam & Justy, Théo & Kamboj, Shampy & Kumar, Ajay & Kristoffersen, Eivind, 2021. "Big data and firm marketing performance: Findings from knowledge-based view," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    3. Lim, Weng Marc & Yap, Sheau-Fen & Makkar, Marian, 2021. "Home sharing in marketing and tourism at a tipping point: What do we know, how do we know, and where should we be heading?," Journal of Business Research, Elsevier, vol. 122(C), pages 534-566.
    4. Interian, Ruben & Ribeiro, Celso C., 2018. "An empirical investigation of network polarization," Applied Mathematics and Computation, Elsevier, vol. 339(C), pages 651-662.
    5. Nguyen, Trang & de Brauw, Alan & van den Berg, Marrit & Do, Ha Thi Phuong, 2021. "Testing methods to increase consumption of healthy foods evidence from a school-based field experiment in Viet Nam," Food Policy, Elsevier, vol. 101(C).
    6. Setyo Widagdo & Kadek Wiwik Indrayanti & Anak Agung Ayu Nanda Saraswati, 2021. "Repatriation as a Human Rights Approach to State Options in Dealing with Returning ISIS Foreign Terrorist Fighters," SAGE Open, , vol. 11(3), pages 21582440211, July.
    7. Cornelis, Erwin, 2019. "History and prospect of voluntary agreements on industrial energy efficiency in Europe," Energy Policy, Elsevier, vol. 132(C), pages 567-582.
    8. Barbara Kasulaitis & Callie W. Babbitt & Anna Christina Tyler, 2021. "The role of consumer preferences in reducing material intensity of electronic products," Journal of Industrial Ecology, Yale University, vol. 25(2), pages 435-447, April.
    9. Carlos Salas-Páez & Luis Quintana-Romero & Miguel A. Mendoza-González & José Álvarez-García, 2022. "Analysis of Job Transitions in Mexico with Markov Chains in Discrete Time," Mathematics, MDPI, vol. 10(10), pages 1-13, May.

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    Economics and Finance; Law - Academic;

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