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Cited by 417

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Footloose and Pollution-Free

Ederington, Josh, Levinson, Arik, Minier, Jenny·2005·Review of Economics and Statistics
DOI 10.1162/0034653053327658
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Abstract

In numerous studies, economists have found little empirical evidence that environmental regulations affect trade flows. In this paper, we propose and test several common explanations for why the effect of environmental regulations on trade may be difficult to detect. We demonstrate that whereas most trade occurs among industrialized economies, environmental regulations have stronger effects on trade between industrialized and developing economies. We find that for most industries, pollution abatement costs are a small component of total costs, and are unrelated to trade flows. In addition, we show that those industries with the largest pollution abatement costs also happen to be the least geographically mobile, or footloose. After accounting for these distinctions, we measure a significant effect of pollution abatement costs on imports from developing countries, and in pollution-intensive, footloose industries.

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Metadata

Authors
Ederington, J., Levinson, A., & Minier, J.
Venue
Review of Economics and Statistics
Publisher
MIT Press
Published
2005-02
Volume
87
Issue
1
Pages
92-99
ISSN
  • 0034-6535 (ISSN-L)
  • 1530-9142
DOI
10.1162/0034653053327658
OpenAlex
W2142003868
Cited by
417
References
15
FWCI
22.94
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Footloose and Pollution-Free. https://app.cochat.ai/papers/10.1162/0034653053327658
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Ederington, J., Levinson, A., & Minier, J. (2005). Footloose and Pollution-Free. Review of Economics and Statistics. https://doi.org/10.1162/0034653053327658

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.