Beschreibung:
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<jats:title content-type="abstract-subheading">Purpose</jats:title>
<jats:p>This study aims to identify and classified non-tariff measures (NTMs) on Brazilian imports of robusta coffee beans, calculated a tariff-equivalent of non-tariff barriers (NTBs) and assessed the effects of removing NTBs from upstream and downstream domestic instant coffee supply chain.</jats:p>
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<jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title>
<jats:p>The analysis uses documentary research to identify NTMs and the price-wedge method is applied to estimate a tariff-equivalent. The effects of suppressing the tariff-equivalent were evaluated using a partial equilibrium model with constant elasticity of substitution (Armington, 1969) and by incorporating vertical integration and uncertainty (Hallren and Opanasets, 2018).</jats:p>
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<jats:title content-type="abstract-subheading">Findings</jats:title>
<jats:p>The results show that NTMs seemingly hinder the entrance of coffee beans into the domestic market. The tariff-equivalent was estimated at 13.61%. Suppressing it reveals that the share of domestic coffee beans used to produce domestic instant coffee falls 0.21 p.p. while the share of domestic instant coffee consumed by the international trade rises 8.60 p.p.</jats:p>
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<jats:title content-type="abstract-subheading">Originality/value</jats:title>
<jats:p>What makes this paper original is that this paper investigated the effects of NTMs in a developing country, namely, Brazil. Although Brazil is one of the largest agricultural producers in the world, it has not appeared in literature in this type of analysis until now. Furthermore, it contributes to the literature on using existing techniques to investigate the impact of NTM removal on individual products in a specific country, in contrast to more recent papers that discuss using multi-country and multi-product data sets at the HTS-6 level. Thus, this paper demonstrates how a case study approach can be useful in quantifying policy changes.</jats:p>
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