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The Effect of Mandatory Extraction Payment Disclosures on Corporate Payment and Investment Policies Abroad

2020· article· en· 143 citations· W3122615110 on OpenAlex· 10.1111/1475-679x.12332

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

About CanadaIts subject is Canada, wherever its authors sit.

No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Full frame distilled prediction

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.

Candidate categories
none
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: ObservationalConsensus signal: none
Genre
Candidate signal: EmpiricalConsensus signal: Empirical
Teacher disagreement score
0.372
Threshold uncertainty score
0.904
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

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

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.

Opus teacher head0.033
GPT teacher head0.313
Teacher spread
0.281 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

ABSTRACT I examine how mandatory extraction payment disclosures (EPD)—a policy solution intended to discourage corporate payment avoidance in the oil, gas, and mining industries—affect fiscal revenue contributions and investments by multinational firms in foreign host countries. Using the staggered adoption of EPD across firms headquartered in Europe and Canada, I find that disclosing companies increase their payments to host governments, decrease investments, and obtain fewer extraction licenses relative to non‐disclosing competitors. These effects are stronger for firms that face a high risk of public shaming, operate in corrupt host countries, and have a high exposure to bribery‐prone payments, suggesting that EPD increases the reputational cost of corporate behavior that could be perceived as exploitative. The resulting reallocation of investments from disclosing to non‐disclosing firms reduces drilling productivity and resource production in host countries, consistent with uneven disclosure regulation distorting capital allocation.

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.

The record

Venue
Journal of Accounting Research
Topic
Auditing, Earnings Management, Governance
Field
Business, Management and Accounting
Canadian institutions
not available
Funders
not available
Keywords
BusinessPaymentRevenueMultinational corporationProductivityCompetitor analysisFinanceMonetary economicsEconomicsMarketingEconomic growth
Has abstract in OpenAlex
yes