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Record W2087864893 · doi:10.1177/0276146707300070

Export Processing Zones in Development and International Marketing: An Integrative Review and Research Agenda

2007· article· en· W2087864893 on OpenAlexaff
Nicolas Papadopoulos, Shavin Malhotra

Bibliographic record

VenueJournal of Macromarketing · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Zones and Regional Development
Canadian institutionsCarleton University
Fundersnot available
KeywordsMacromarketingIncentiveInternational businessMarketingForeign direct investmentBusinessInvestment (military)Industrial organizationPerspective (graphical)Free trade zoneEconomicsChinaMarket economyPolitical scienceManagement

Abstract

fetched live from OpenAlex

Export processing zones (EPZs) are areas within developing countries that offer incentives and a barrier-free environment to promote economic growth by attracting foreign investment for export-oriented production. The number of zones internationally, countries hosting EPZs, and firms operating in them, and the business volume they handle, are all growing rapidly, suggesting their importance. Yet, business research on EPZs is virtually nonexistent, leading to poor understanding of their role in international marketing. This article draws from the literature in economics, macromarketing, and other disciplines to provide an integrative review of the concept. The authors then adopt a macromarketing perspective to develop a new definition of EPZs, typologies of free export zones and of their benefits for host nations and investors, and the notion of a “virtual network” of free zones as part of the international market system. The authors conclude by highlighting the need and potential directions for new research in this field.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0040.010
Science and technology studies0.0010.002
Scholarly communication0.0040.005
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.096
GPT teacher head0.343
Teacher spread0.247 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations26
Published2007
Admission routes1
Has abstractyes

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Same venueJournal of MacromarketingSame topicEconomic Zones and Regional DevelopmentFrench-language works237,207