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The Siting of Livestock Facilities and Environmental Regulations

2006· article· en· W2002548965 on OpenAlexaffvenueabout
Alfons Weersink, Christin Eveland

Bibliographic record

VenueCanadian Journal of Agricultural Economics/Revue canadienne d agroeconomie · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsLivestockGeographyForestryAgricultural scienceWelfare economicsBusinessEconomicsEnvironmental science

Abstract

fetched live from OpenAlex

The significant variation in the stringency of environmental regulations across Ontario municipalities in the late 1990s created the possibility of pollution havens where expanding livestock operations would locate in those municipalities with the lowest regulatory compliance costs. Using actual building permit data rather than aggregate regional production numbers, the study examined the factors affecting spatial changes. Instead of locating to reduce environmental compliance costs as suggested by the pollution haven hypothesis, barns are being built largely where the livestock sector is concentrated suggesting the existence of agglomeration economies. The result suggests that the normalization of standards across the province through the new Nutrient Management Act will not significantly influence the location decisions of expanding or new livestock facilities which are largely determined by economic factors associated with livestock infrastructure support. L'importante variation de sévérité des règlements environnementaux dans les municipalités de l'Ontario vers la fin des années 1990 a créé la possibilité de refuges pour pollueurs: les fermes d'élevage en expansion allaient s'installer dans les municipalités où les coûts de conformité aux règlements étaient les plus faibles. À l'aide de données sur les permis de construire plutôt que de données agrégées sur la production régionale, la présente étude a examiné les facteurs qui influaient sur les changements spatiaux. Au lieu de s'installer là où les coûts de conformité aux règlements sont faibles comme le laisse supposer l'hypothèse des refuges pour pollueurs, les entreprises choisissent de s'installer là où le secteur de l'élevage est concentré, ce qui laisse supposer l'existence d'économies d'agglomération. Les résultats semblent indiquer que l'uniformisation des normes à l'échelle provinciale en vertu de la Loi sur la gestion des éléments nutritifs n'aura pas d'influence significative sur le choix des endroits où seront construits les bâtiments des exploitations en expansion ou des nouvelles exploitations puisque ce choix est en grande partie motivé par des facteurs économiques liés au soutien à l'infrastructure de l'élevage.

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)0.003
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 score0.397
Threshold uncertainty score0.798

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.034
GPT teacher head0.138
Teacher spread0.104 · 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

Citations25
Published2006
Admission routes3
Has abstractyes

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