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Record W4323971867 · doi:10.1186/s12992-023-00917-w

The structure of the Canadian packaged food and non-alcoholic beverage manufacturing and grocery retailing sectors through a public health lens

2023· article· en· W4323971867 on OpenAlexafffundabout
Alexa Gaucher-Holm, Benjamin Wood, Gary Sacks, Lana Vanderlee

Bibliographic record

VenueGlobalization and Health · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsUniversité Laval
FundersInstitute of Nutrition, Metabolism and DiabetesMedical Research CouncilCanadian Institutes of Health ResearchNational Health and Medical Research CouncilNational Heart Foundation of Australia
KeywordsPublic healthSocial policyBusinessQuality of Life ResearchMarketingPublic health policyLens (geology)Health services researchAdvertisingHealth policyEnvironmental healthMedicinePolitical scienceEngineeringNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Corporate power has been recognized as an important influence on food environments and population health more broadly. Understanding the structure of national food and beverage markets can provide important insight into the power held by leading corporations. This study aimed to descriptively analyze the structure of the Canadian food and beverage manufacturing and grocery retailing sectors as of 2020/21. METHODS: Packaged food manufacturers, non-alcoholic beverage manufacturers and grocery retailers with ≥ 1% market share in 2020/21 in Canada as per Euromonitor International were identified and characterized. Proportion of market share held by public vs private, multinational vs national, and foreign multinational companies was assessed for the 3 sectors. The concentration of 14 packaged food, 8 non-alcoholic beverage and 5 grocery retailing markets was assessed using the Herfindahl-Hirschman Index (HHI) and the four firm concentration ratio (CR4) (HHI > 1800 and CR4 > 60 suggest high market concentration). Company ownership structure was also assessed, including common ownership of public companies by three of the largest global asset managers using data from Refinitiv Eikon, a financial market database. RESULTS: The Canadian non-alcoholic beverage manufacturing sector, and, to a lesser extent, the packaged food manufacturing sector were dominated by foreign multinational companies, in contrast with the grocery retailing sector which was dominated by national companies. Market concentration varied across sectors and markets but was substantially greater within the retailing (median CR4 = 84; median HHI = 2405) and non-alcoholic beverage sectors (median CR4 = 72; median HHI = 1995) compared to the packaged food sector (median CR4 = 51; median HHI = 932). There was considerable evidence of common ownership across sectors. Overall, the Vanguard Group Inc owned at least 1% of shares in 95% of publicly listed companies, Blackrock Institutional Trust Company 71%, and State Street Global Advisors (US) 43%. CONCLUSIONS: The Canadian packaged food and non-alcoholic beverage manufacturing and grocery retailing sectors include several consolidated markets, with a high degree of common ownership by major investors. Findings suggest that a small number of large corporations, particularly in the retailing sector, have extensive power to influence Canadian food environments; their policies and practices warrant substantial attention as part of efforts to improve population diets in Canada.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.301

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0100.014
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.061
GPT teacher head0.298
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2023
Admission routes3
Has abstractyes

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