2009
DOI: 10.1111/j.1477-9552.2008.00186.x
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Bilateral Import Protection, Free Trade Agreements, and Other Factors Influencing Trade Flows in Agriculture and Clothing

Abstract: "Many factors shape the global network of bilateral trade including fundamental forces of supply and demand factors and government policies. This study uses the generalised gravity framework to distinguish among the different drivers that either deter or aid partner trade in land-intensive agriculture and labour-intensive clothing. The dataset used in the analysis includes bilateral trade among 70 countries in 1995, 2000 and 2005. Collectively, the 70 countries account for 85% of the world's trade in agricultu… Show more

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Cited by 21 publications
(13 citation statements)
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References 36 publications
(52 reference statements)
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“…In three sectors (pfb, ocr, and ctl), however, statistically significant negative effects are found. Vollrath et al (2009) find a similar result for aggregate agricultural trade in 1995 and 2000. This result, in part, reflects the conclusion in Lambert and Mckoy (2009) that the impacts of PTAs on trade are inconclusive.…”
Section: Resultssupporting
confidence: 64%
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“…In three sectors (pfb, ocr, and ctl), however, statistically significant negative effects are found. Vollrath et al (2009) find a similar result for aggregate agricultural trade in 1995 and 2000. This result, in part, reflects the conclusion in Lambert and Mckoy (2009) that the impacts of PTAs on trade are inconclusive.…”
Section: Resultssupporting
confidence: 64%
“…Our tariff results represent an improvement on previous cross‐sectional studies (Kuiper and van Tongeren, 2006; Philippidis et al, 2007), which found examples of nonsignificant and positive tariff parameter values across agro‐food sectors. Vollrath et al (2009) also employ cross‐sectional data with a double logarithmic gravity equation restricted to nonzero trade observations for three agro‐food products (and aggregate agro‐food trade) across three years (1995, 2000, and 2005). The authors greatly reduce the number of (spurious) positive tariff parameter estimates, although the statistical significance of tariff impacts on trade volumes is limited (including aggregate agricultural trade across all three years) 10 .…”
Section: Resultsmentioning
confidence: 99%
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