Cited by 1Merger and Competition AnalysisEconomics of Agriculture and Food MarketsDiverse Legal and Medical Studies

Power in the Food Value Chain: Theory and Metrics

Open access
Lianos, Ioannis, Smichowski, Bruno Carballa, Lindeboom, Justin, Lombardi, Claudio·2022·Global Food Value Chains and Competition Law

Abstract

Chapter 12 introduces a new economic framework to analyse power in the food value chain. Spurred on by the increased interest of policy makers and antitrust authorities over the last decade, academic scholarship has made progress in analysing the origins and consequences of different dimensions of power across the value chain: buyer power, bargaining power, economic dependence. This Chapter summarises the key concepts used to analyse and measure power in the food value chain and explores the different theories of harm that have been developed and occasionally tested in recent cases. Far from representing just a ‘mirror image’ of the exercise of seller power, the analysis of buyer power may at times require a different set of analytical tools and a more detailed, case-by-case understanding of its specific origins and effects. From then on, the authors move to suggesting a broader theoretical framework that would encompass all different dimensions of power in the value chain, under the rubric of vertical power. After defining the theoretical contours of the concept, the authors offer some metrics that enable an empirical verification of the existence and exercise of vertical power.

Integrity signals

Registry

Crossref · 10.1017/9781108554947.012

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A number of studies document the disparity in bargaining power between large corporations and suppliers, which can have negative outcomes, such as dominant firms collectively seeking to lower the prices they pay to the producers who supply them.

    “A number of studies docu­ ment the disparity in bargaining power between large corporations and suppliers, which can have negative outcomes, such as dominant firms collectively seeking to lower the prices they pay to the producers who supply them (e.g., Wood et al. 2021a; Lianos et al. 2022; De Schutter 2010; Howard 2021).”

    From Corporate concentration and power matter for agency in food systems (2025) · cites this paper as Lianos et al. 2022

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Lianos, I., Smichowski, B. C., Lindeboom, J., & Lombardi, C.
Affiliations
  • University College London (GB)
  • University of Groningen (NL)
Venue
Global Food Value Chains and Competition Law
Published
2022-05-05
Pages
256-314
OpenAlex
W4280503092
Cited by
1
References
1
Citations by year
2025: 1
FWCI
1.87
Type
book chapter
Language
en
Open access
Locations
  • Cambridge University Press eBooks (publishedVersion)
  • University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
Funders
Konkurrensverket
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Merger and Competition Analysis
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economics of Agriculture and Food Markets
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Diverse Legal and Medical Studies
Keywords
vertical power, buyer power, bargaining power, economic dependence, seller power, theories of harm, competition law, food supply chain, power metrics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review