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Trade Adjustment Costs in Developing Countries: - World Bank ...

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320Kal<strong>in</strong>a Manovaentry <strong>in</strong>to a given export market, f<strong>in</strong>ancially advanced economies also export moreto that country. All of these effects are more pronounced <strong>in</strong> f<strong>in</strong>ancially vulnerablesectors. These results are consistent with the idea that firms <strong>in</strong>cur trade costs <strong>in</strong>each market they enter and face credit constra<strong>in</strong>ts <strong>in</strong> their f<strong>in</strong>anc<strong>in</strong>g. Analyz<strong>in</strong>g bilateraltrade flows also provides more conv<strong>in</strong>c<strong>in</strong>g evidence for the importance ofexternal credit because it permits the <strong>in</strong>clusion of dest<strong>in</strong>ation or dest<strong>in</strong>ation sector-specificfixed effects which control for differences <strong>in</strong> demand and trade costs.The effect of f<strong>in</strong>ancial frictions on bilateral trade flows can be further decomposed<strong>in</strong>to an extensive marg<strong>in</strong> (number of export<strong>in</strong>g firms) and an <strong>in</strong>tensivemarg<strong>in</strong> (firm-level exports). Ultimately, analyz<strong>in</strong>g firms’ participation <strong>in</strong> <strong>in</strong>ternationaltrade will reveal the exact mechanism through which credit constra<strong>in</strong>tsaffect export<strong>in</strong>g and allow more specific policy recommendations. In the absenceof systematic firm-level data across countries and sectors, Manova (2007) exam<strong>in</strong>esthe number of products that countries export as an imperfect proxy for theextensive marg<strong>in</strong> of trade. She f<strong>in</strong>ds that f<strong>in</strong>ancially advanced countries ship abroader range of goods to any given market, and this pattern is stronger <strong>in</strong> f<strong>in</strong>anciallyvulnerable sectors.Manova (2007) also adopts the two-stage estimation procedure developed byHelpman et al. (2008). This approach exploits the <strong>in</strong>formation conta<strong>in</strong>ed <strong>in</strong> thedata on both zero and positive bilateral exports to <strong>in</strong>fer what fraction of domesticallyactive firms export to each dest<strong>in</strong>ation. The results suggest that a third ofthe effect of f<strong>in</strong>ancial development on trade values is attributable to firm selection<strong>in</strong>to export<strong>in</strong>g, while two-thirds is due to reductions <strong>in</strong> firm-level exports.This <strong>in</strong>dicates that firms face b<strong>in</strong>d<strong>in</strong>g credit constra<strong>in</strong>ts <strong>in</strong> the f<strong>in</strong>anc<strong>in</strong>g of bothfixed and variable export costs. By contrast, if firms required outside capital tocover only the fixed costs of trade, f<strong>in</strong>ancial market imperfections would havedistorted only the extensive marg<strong>in</strong> of exports.What is the economic magnitude of these effects? Recall that f<strong>in</strong>ancial frictionsboth reduce countries’ aggregate exports and alter their sectoral composition.Evaluat<strong>in</strong>g the former effect has been difficult because it requires theestimation of cross-country regressions of trade on a country-level measure of f<strong>in</strong>ancialdevelopment. The high correlation between f<strong>in</strong>ancial development andother country characteristics, however, presents a challenge for estimat<strong>in</strong>g thecausal impact of credit constra<strong>in</strong>ts. On the other hand, us<strong>in</strong>g <strong>in</strong>teraction termsmakes it possible to establish causality by show<strong>in</strong>g that f<strong>in</strong>ancial development hasa differential effect on trade flows across sectors.Comparative statics based on this difference-<strong>in</strong>-difference approach <strong>in</strong>dicatethat the effect of credit constra<strong>in</strong>ts is substantial and comparable to that of traditionalsources of comparative advantage, such as cross-country differences <strong>in</strong>factor endowments. For example, if the Philipp<strong>in</strong>es, a country at the first quartile<strong>in</strong> the distribution of f<strong>in</strong>ancial development, were to improve to the level ofthe third quartile (Italy), the Philipp<strong>in</strong>es could <strong>in</strong>crease its textile exports (highlydependent on external f<strong>in</strong>ance, third quartile) by 19 percentage po<strong>in</strong>ts more thanits m<strong>in</strong>eral products exports (<strong>in</strong>tensive <strong>in</strong> <strong>in</strong>ternal fund<strong>in</strong>g, first quartile). Similarly,exports of low tangibility sectors (other chemicals, first quartile) would

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