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An Enhanced Analytical Framework for Evaluating the Effects of Trade Costs along Global Value Chains

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  • Caitlyn Carrico

Abstract

In this paper, I present a new multi-regional input-output (MRIO) database with tariffs differentiated by agent. To construct the MRIO, I apply the Broad Economic Categories (BEC) system of concordances to detailed trade and tariff data from the Tariff Analytical and Simulation Tool for Economists (TASTE) Database version 9 to obtain measures of trade and tariff revenues by end-use. I use this trade data by end use to expand the GTAP Database version 9.2, thus incorporating direct linkages from foreign suppliers to domestic producers, investors, and consumers. Further, the new database comprises distinct composite tariff rates for producers, investors, and consumers. I use a constrained optimization procedure to ensure MRIO trade flows aggregate to the original GTAP Database. Through illustrative simulations, I demonstrate the effect of (1) new cross-border trade linkages and (2) tariff escalation for trade policy analysis. I further demonstrate how the addition of differentiated tariffs in the MRIO enhances policy analysis beyond preceding versions of the MRIO.

Suggested Citation

  • Caitlyn Carrico, 2017. "An Enhanced Analytical Framework for Evaluating the Effects of Trade Costs along Global Value Chains," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 2(2), pages 43-111, December.
    • Handle: RePEc:gta:jnlgea:v:2:y:2017:i:2:p:43-111
    DOI: http://dx.doi.org/10.21642/JGEA.020202AF
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    References listed on IDEAS

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    Cited by:

    1. Oyamada,Kazuhiko, 2023. "Behavioral characteristics of mrio-based global age models with variable elasticity of substitution between varieties," IDE Discussion Papers 881, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    2. Bellora, Cecilia & Foure, Jean, 2018. "Value-added in a Computable General Equilibrium model with oligopolistic competition: drivers and implications of sourcing by agent in the MIRAGE-e model," Conference papers 332942, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. Alessandro Antimiani & Luca Salvatici & Ilaria Fusacchia, 2018. "GTAP-VA: An Integrated Tool for Global Value Chain Analysis," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 3(2), pages 69-105, December.
    4. Haddad, Salwa & Escobar, Neus & Bruckner, Martin & Britz, Wolfgang, 2022. "Promoting extensive cattle production in the European Union has major implications for global agricultural trade and climate change," Discussion Papers 324710, University of Bonn, Institute for Food and Resource Economics.
    5. Bellora, Cecilia & Foure, Jean, 2019. "Trade under the Paris agreement: Do global value chains hinder climate change mitigation?," Conference papers 333090, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    6. Nilsson, Lars, 2019. "Reflections on the economic modelling of free trade agreements," DG TRADE Chief Economist Notes 2019-2, Directorate General for Trade, European Commission.
    7. Angel Aguiar & Maksym Chepeliev & Erwin L. Corong & Robert McDougall & Dominique van der Mensbrugghe, 2019. "The GTAP Data Base: Version 10," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 4(1), pages 1-27, June.
    8. Oyamada, Kazuhiko, 2019. "Behavioral Characteristics of MRIO-Based Global AGE Models with Variable Elasticity of Substitution between Varieties," Conference papers 333022, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

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