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Impact of Environmental Regulations on Trade in the Main EU Countries: Conflict or Synergy?

2012· preprint· en· W2556259793 on OpenAlex

Why this work is in the frame

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

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
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.

Bibliographic record

VenueWorld Economy · 2012
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicEnergy, Environment, Economic Growth
Canadian institutionsnot available
Fundersnot available
KeywordsInternational tradeInternational economicsEmpirical evidenceGovernment (linguistics)EconomicsEnvironmental impact assessmentTrade diversionBilateral tradeTrade creationBusinessEmpirical researchTrade barrierInternational free trade agreementChinaPolitical science

Abstract

fetched live from OpenAlex

Abstract In an increasingly integrated world with declining trade barriers, environmental regulations can have a decisive role in shaping countries’ comparative advantages. The conventional wisdom about environmental protection is that it comes at an additional cost on firms imposed by the government, which may erode their global competitiveness. However, this paradigm has been challenged by some analysts. In particular, Porter and van der Linde argue that pollution is often associated with a waste of resources and that more stringent environmental policies can stimulate innovations that may overcompensate for the costs of complying with these policies. This is known as the Porter hypothesis. While there is a broad empirical literature on the impact of trade on environment, the empirical literature on the impact of environmental regulations on trade flows is relatively scarce, very heterogeneous and presents mixed results. The innovative feature of this paper is its attempts to estimate, in a gravity setting, augmented with a proxi of environmental stringency, the impact of three major multilateral environmental agreements (MEAs) on 15 EU countries’ bilateral exports. According to our estimates, in the period 1988–2008, to be member of MEAs had a positive average impact on EU‐15 bilateral exports. This evidence can be partly explained by a possible trade diversion effect with respect to countries that did not sign MEAs and a corresponding trade creation effect among members of the environmental agreements. Furthermore, evidence coming from interaction effects estimates seems to show that for exporting countries, having signed the United Nations Framework Convention on Climate Change and the Montreal agreements partly mitigates (by the amount of the estimated coefficient) the negative impact of having a relatively more stringent environmental regulation on bilateral trade. This result could have important policy implications for the future international trade–environmental negotiations.

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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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.473
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.030
GPT teacher head0.231
Teacher spread0.201 · 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