MétaCan
Menu
Back to cohort
Record W3125969619

Farm Bankruptcy Risk as a Link between Direct Payments and Agricultural Investment

2008· article· en· W3125969619 on OpenAlexaff
James Vercammen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLand Rights and Reforms
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBankruptcyInsolvencyPaymentRisk aversion (psychology)Equity (law)Direct PaymentsEuropean unionInvestment (military)BusinessEconomicsAgricultureActuarial scienceFinanceExpected utility hypothesisFinancial economicsInternational economics
DOInot available

Abstract

fetched live from OpenAlex

The European Union is increasingly relying on direct payments to support farm incomes. Recent research has shown that a direct payment may increase production and investment by risk-averse farmers via a link between wealth, risk aversion and decision making. This paper shows that, even in the absence of risk aversion, a direct payment may stimulate farm investment. With lenders using a standard insolvency rule for determining bankruptcy, the direct payment raises the expected value of marginal investment because it reduces the risk of bankruptcy over the farmer's operating time horizon. The investment response to the direct payment is larger for a farmer with an intermediate versus low or high level of equity, and for a farmer with a long versus short-time horizon.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.524
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

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

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 head0.019
GPT teacher head0.206
Teacher spread0.187 · 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 teacher head, 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

Citations0
Published2008
Admission routes1
Has abstractyes

Explore more

Same topicLand Rights and ReformsFrench-language works237,207