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Record W1919555013 · doi:10.1596/1813-9450-2669

The Impact of NAFTA and Options for Tax Reform in Mexico

2001· book· en· W1919555013 on OpenAlexaboutno aff
Duanjie Chen

Bibliographic record

VenueWorld Bank, Washington, DC eBooks · 2001
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessTax reformInternational economicsInternational tradeEconomicsPublic economics

Abstract

fetched live from OpenAlex

The North American Free Trade Agreement (NAFTA) has had a profound impact on Mexico's economy and institutions. Clearly, no consideration of tax reform can ignore its role. The thinking about tax reform in Mexico requires evaluating NAFTA's effect on Mexico's economy, including its tax structure, and the effects of its tax system on trade and capital flows between Mexico and its NAFTA partners, the United States and Canada. The authors review the evidence on NAFTA's economic effects, focusing on the changes in foreign trade and foreign direct investment flows in Mexico and the effects of these changes on Mexico's tax base and ability to raise tax revenues. Using marginal effective tax rate analysis, the authors also compare Mexico's tax system with those of Canada and the United States in terms of the effect on foreign direct investment. The authors draw two main conclusions from their analysis. First, by fueling Mexico's exports and foreign direct investment inflows, NAFTA has altered the country's economic structure and hence the industrial distribution of the tax base. This transformation calls for adapting the tax structure to an economy oriented toward services and manufacturing exports. And second, Mexico's membership in NAFTA provides no significant reasons for fundamental change in its tax structure. The new wave of tax reform should concentrate on raising revenues, simplifying the tax structure, and increasing the efficiency and overall equity of the tax system.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.684
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.021
GPT teacher head0.253
Teacher spread0.232 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2001
Admission routes1
Has abstractyes

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