JEL classification: F1 C67 D57 R15We combine input-output and bilateral trade data to compute the value added content of bilateral trade. The ratio of value added to gross exports (VAX ratio) is a measure of the intensity of production sharing. Across countries, export composition drives VAX ratios, with exporters of Manufactures having lower ratios. Across sectors, the VAX ratio for Manufactures is low relative to Services, primarily because Services are used as an intermediate to produce manufacturing exports. Across bilateral partners, VAX ratios vary widely and contain information on both bilateral and triangular production chains. We document specifically that bilateral production linkages, not variation in the composition of exports, drive variation in bilateral VAX ratios. Finally, bilateral imbalances measured in value added differ from gross trade imbalances. Most prominently, the U.S.-China imbalance in 2004 is 30-40% smaller when measured in value added.

We combine data on trade, production, and input use to document five facts about changes in the value added content of trade from 1970 to 2009. We find that the ratio of value-added to gross exports fell by roughly 10 percentage points worldwide

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Cross-border production chains tend to include geographically proximate countries. This suggests that increases in fragmentation should be largest among nearby trading partners, and thus may serve to localize gross trade. Using data on gross and value added trade from 1970-2009, we present three results supporting this conjecture. First, value added to export ratios are lower and falling more rapidly within geographic regions than between them. Second, gross trade travels shorter distances from source to destination than value added trade, and this gap is growing over time. Third, bilateral value added to export ratios have fallen most among nearby trading partners.

We study differences in markups earned by Bangladeshi garment exporters across buyers with different sourcing strategies and make three contributions. First, we distinguish buyers with a relational versus a spot sourcing strategy and show that a buyer’s sourcing strategy is correlated across products and origins. Buyer fixed effects explain most of the variation in sourcing strategies, suggesting that these depend on organizational capabilities. Second, we use novel data that match quantities and prices of the two main variable inputs in the production of garments (fabric and labor on sewing lines) to specific export orders. We derive conditions under which these data allow measurement of within exporter–product–time differences in markups across orders produced for different buyers. Third, we show that exporters earn higher markups on otherwise identical orders produced for relational, as opposed to spot, buyers. A sourcing model with imperfect contract enforcement, idiosyncratic shocks to exporters, and buyers that adopt different sourcing strategies trading off higher prices and reliable supply rationalizes this and other observed facts in the industry. We discuss alternative explanations and policy implications.