A meta-analysis of estimates of the impact of technical barriers to trade

Yuan Li and John Beghin ()

Journal of Policy Modeling, 2012, vol. 34, issue 3, 497-511

Abstract: A meta-analysis explains the variation in estimated trade effects of technical barriers to trade broadly defined, using available estimates from the empirical international trade literature, and accounting for data sampling and methodology differences. Agriculture and food industries tend to be more impeded by these barriers than other sectors. SPS regulations on agricultural and food trade flows from developing exporters to high-income importers tend to impede trade. Not controlling for “multilateral resistance” barriers increase the likelihood to overstate the trade impeding effect of technical measures and not accounting for their potential endogeneity with trade does the opposite. Studies using direct maximum residue limits tend to find more trade impeding effects than other measures and clearer policy implications. Other technical measures proxies tend to muddle results and increase the likelihood of inconclusive results and few policy implications.

Keywords: F13; F14; Q17; Q18; TBT; SPS; NTB; NTM; Technical measures; Technical barriers to trade; Phytosanitary regulation; Trade effect; Meta-analysis; Non-tariff measure (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (85)

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Related works:
Chapter: A meta-analysis of estimates of the impact of technical barriers to trade (2017)
Working Paper: A Meta-Analysis of Estimates of the Impact of Technical Barriers to Trade (2010)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jpolmo:v:34:y:2012:i:3:p:497-511

DOI: 10.1016/j.jpolmod.2011.11.001

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