The Impact of Regulatory Heterogeneity on Agri-food Trade
We estimate the impact of regulatory heterogeneity on agri‐food trade using a gravity analysis that relies on detailed data on non‐tariff measures (NTMs) collected by the NTM‐Impact project. The data cover a broad range of import requirements for agricultural and food products for the EU and nine of...
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Published in | World economy Vol. 35; no. 8; pp. 973 - 993 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Blackwell Publishing Ltd
01.08.2012
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Subjects | |
Online Access | Get full text |
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Summary: | We estimate the impact of regulatory heterogeneity on agri‐food trade using a gravity analysis that relies on detailed data on non‐tariff measures (NTMs) collected by the NTM‐Impact project. The data cover a broad range of import requirements for agricultural and food products for the EU and nine of its major trade partners. We find that trade is significantly reduced when importing countries have stricter maximum residue limits (MRLs) for plant products than exporting countries. For most other measures, due to their qualitative nature, we were unable to infer whether the importer has stricter standards relative to the exporter, and we do not find a robust relationship between these measures and trade. Our findings suggest that, at least for some import standards, harmonising regulations will increase trade. We also conclude that tariff reductions remain an effective means to increase trade even when NTMs abound. |
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Bibliography: | istex:2EE6EB70A5BEE3A10C26271596F7195B1FF02C81 ark:/67375/WNG-2GNWDMB4-4 ArticleID:TWEC1457 We acknowledge the considerable effort in data collection by partners in the NTM‐Impact project at twelve institutions – Instituto Nacional de Tecnologia Agricola (Argentina), University of Sydney (Australia), University of São Paulo (Brazil), Université Laval (Canada), Centre for Chinese Agricultural Policy (China), University of Bonn (Germany), Osaka University and Keio University (Japan), Agricultural Economics Research Institute (LEI) (Netherlands), University of Otago (New Zealand), Institute for Agricultural Market Studies (Russia) and Virginia Tech University (USA). We wish to thank John Beghin, David Orden and an anonymous referee for helpful comments and suggestions. Remaining errors are our responsibility. ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0378-5920 1467-9701 |
DOI: | 10.1111/j.1467-9701.2012.01457.x |