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

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

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6Bernard Hoekman and Guido Portowould <strong>in</strong> fact only reduce white collar workers by 5 percent, blue collar workersby 10 percent, and capital by 5 percent. In contrast, if a firm wants to double factorusage, it would only <strong>in</strong>crease white collar workers by 12.5 percent, blue collarworkers by 15 percent and capital by 5 percent. This suggests high adjustmentcosts <strong>in</strong> both hir<strong>in</strong>g and fir<strong>in</strong>g. The authors also f<strong>in</strong>d that the creation and destructionof factor employment is <strong>in</strong>terdependent <strong>in</strong> an asymmetric way. Whenfirms want to hire more factors, they adjust one factor at a time. However, whenthey want to employ fewer factors (labour or capital) they tend to reduce the useof all factors together. F<strong>in</strong>ally, the pattern of adjustment depends on the <strong>in</strong>tensityof tariff protection: firms that experienced higher tariff cuts destroyed morecapital and jobs than firms that faced lower tariff cuts.The chapters by Jaime de Melo and by Olivier Cadot, Laure Dutoit and MarceloOlarreaga take a different approach. The focus of much of the literature on themagnitude of adjustment costs tends to be on adjustment <strong>in</strong> labour markets. But<strong>in</strong> low-<strong>in</strong>come develop<strong>in</strong>g countries, trade <strong>in</strong>volves primary products that are,<strong>in</strong> many cases, produced by small farmers. What is the nature of the process offactor use adjustment <strong>in</strong> such countries? De Melo focuses on the cashew sector<strong>in</strong> Mozambique and the vanilla sector <strong>in</strong> Madagascar follow<strong>in</strong>g market liberalizationreforms <strong>in</strong> the 1990s. Analyz<strong>in</strong>g the scarce available data, he concludesthat while the reforms did <strong>in</strong>crease producer prices, there were negligible supplyresponses at the farm level. In both cases, the simulations run by de Melo showvery small ga<strong>in</strong>s, and thus limited impacts on either the distribution of <strong>in</strong>comeor on poverty. He attributes the low supply response follow<strong>in</strong>g these reforms totwo major factors. The first is the <strong>in</strong>itially low participation <strong>in</strong> cash cropp<strong>in</strong>g.The second is high sunk costs <strong>in</strong> agriculture. For both vanilla and cashew production,there are significant sunk costs associated with plant<strong>in</strong>g new trees, an<strong>in</strong>vestment that requires a credible pric<strong>in</strong>g policy. This credibility is, <strong>in</strong> turn,l<strong>in</strong>ked to the nature of prevail<strong>in</strong>g <strong>in</strong>stitutions. The implication is that the impactsof agricultural (trade) policy reforms depend primarily on other factors.Cadot, Dutoit and Olarreaga provide concrete examples of the role of transaction-relatedcosts as determ<strong>in</strong>ants of adjustment follow<strong>in</strong>g reforms (or shocks) <strong>in</strong>Africa. They note that while market agriculture dom<strong>in</strong>ates subsistence production,many African farmers rema<strong>in</strong> <strong>in</strong> virtual autarky. Us<strong>in</strong>g data for Madagascar, theauthors calculate that subsistence farmers could <strong>in</strong>crease household <strong>in</strong>comes byover 40 percent by switch<strong>in</strong>g to sell<strong>in</strong>g for the market. This f<strong>in</strong>d<strong>in</strong>g can be largelyexpla<strong>in</strong>ed by high barriers to exit from subsistence, <strong>in</strong>clud<strong>in</strong>g risk, miss<strong>in</strong>g markets,and various transactions costs. In consequence, to understand why marketsfail and farmers are not responsive to price <strong>in</strong>centives it is necessary to identifywhich transaction costs are prohibitive, for whom, and why. Three such costsstand out. First, variable transaction and transportation costs create a wedge betweenfood farm-gate prices and local market prices (from neighbours or localdealers if there is a village market). Cadot et al. report estimates of such variabletransaction costs rang<strong>in</strong>g from 15 to 30 percent. Second, there are fixed transactioncosts. These <strong>in</strong>clude search<strong>in</strong>g for partners, enforc<strong>in</strong>g contracts with distantbuyers, and establish<strong>in</strong>g quality. Here, the estimates range from a low of 15

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