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Tariff-Rate Quotas : Difficult to model or plain simple?

Author

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  • Phillip M. Bishop

    (New Zealand Institute for Economic Research)

  • Charles F. Nicholson
  • James E. Pratt
  • Andrew M. Novakovic

Abstract

The difficulty of reliably and accurately incorporating tariffrate quotas (TRQs) into trade models has received a lot of attention in recent years. As a result of the Uruguay Round of GATT negotiations, TRQs replaced an assortment of tariff and nontariff instruments in an effort to standardise trade barriers, and facilitate their future liberalisation. Understanding the nuances of TRQs is now particularly crucial for New Zealand because of the preferential access arrangements that New Zealand has for a number of products in highly protected markets such as the European Union, Japan, and the United States. It has been argued that TRQs are complex instruments and are difficult to model because for any trade flow between two countries, one of three regimes may be applicable : 1. The import quota may not be binding and the within-quota tariff applies; 2. The quota may be binding, the within-quota tariff applies, and a quota rent is created; or 3. Trade occurs over and above the quota, in which case an over-quota tariff applies (although, even in this regime, someone is still able to collect the quota rent on within-quota trade). But even this characterisation, which many claim is too complex to model, is a major simplification of reality. Bilateral preferences are ubiquitous, and such preferences are usually included in the determination of multilateral market access quotas. It is usual, therefore, that the TRQ instrument has several tiers to the quota schedule, plus a number of within and over-quota tariff rates applicable on either a bilateral or a multilateral basis. Further trade liberalisation creates something of a dilemma for New Zealand. Any decrease in over-quota tariffs and/or increase in quota levels potentially reduces the value of quota rents, many of which accrue to New Zealand due to the bilateral preferences. It is important, therefore, that New Zealand trade negotiators understand how much additional trade is required to offset the loss of New Zealands quota rents. Modelling trade in the presence of TRQs is the only way to ascertain this knowledge. The purpose of this paper is to show that complex TRQs can be modelled very easily and precisely. The only catch is that the model must be formulated as a complementarity problem rather than the more conventional linear or nonlinear optimisation problem. The concept will be demonstrated using a simple 3-region, single commodity spatial price equilibrium model of trade.

Suggested Citation

  • Phillip M. Bishop & Charles F. Nicholson & James E. Pratt & Andrew M. Novakovic, 2001. "Tariff-Rate Quotas : Difficult to model or plain simple?," Trade Working Papers 22011, East Asian Bureau of Economic Research.
  • Handle: RePEc:eab:tradew:22011
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    References listed on IDEAS

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    1. Lofgren, Hans & Robinson, Sherman, 1999. "Spatial networks in multi-region computable general equilibrium models:," TMD discussion papers 35, International Food Policy Research Institute (IFPRI).
    2. Nicholson, Charles F. & Bishop, Phillip M. & Nagurney, Anna, 1994. "Using Variational Equalities to Solve Spatial Price Equilibrium Models with Ad Valorem Tariffs and Activity Analysis," Working Papers 128023, Cornell University, Department of Applied Economics and Management.
    3. Nicholson, Charles F. & Bishop, Phillip M. & Nagurney, Anna, 1994. "Using Variational Equalities to Solve Spatial Price Equilibrium Models with Ad Valorem Tariffs and Activity Analysis," Working Papers 179221, Cornell University, Department of Applied Economics and Management.
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    Cited by:

    1. Nolte, Stephan, 2008. "The Future Of The World Sugar Market--A Spatial Price Equilibrium Analysis," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6663, European Association of Agricultural Economists.
    2. Oyewumi, Olubukola Ayodeju, 2005. "Modeling tariff rate quotas in the South African livestock industry," Master's Degree Theses 28064, University of the Free State, Department of Agricultural Economics.
    3. Anna Nagurney & Deniz Besik & Ladimer S. Nagurney, 2019. "Global supply chain networks and tariff rate quotas: equilibrium analysis with application to agricultural products," Journal of Global Optimization, Springer, vol. 75(2), pages 439-460, October.
    4. de Oliveira, Andrea L. R. & Alvim, Augusto M., 2016. "The supply chain of Brazilian maize and soybeans: the effects of segregation on logistics and competitiveness," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 20(1), October.
    5. Gronau, Steven & Winter, Etti, 2018. "Social Accounting Matrix: A user manual for village economies," Hannover Economic Papers (HEP) dp-636, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    6. Döbeling, Tatjana & Pelikan, Janine, 2021. "The Market Dynamics of Tariff Rate Quotas in the Case of Ceta," 2021 Conference, August 17-31, 2021, Virtual 315282, International Association of Agricultural Economists.
    7. Steven Gronau & Etti Winter & Ulrike Grote, 2020. "Aquaculture, fish resources and rural livelihoods: a village CGE analysis from Namibia’s Zambezi Region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 615-642, February.
    8. Augusto Mussi Alvim & Adelar Fochezatto, 2020. "The Impacts of Soy-Based Biodiesel on the Main Soy Producers in the International Market," Journal of Agricultural Studies, Macrothink Institute, vol. 8(2), pages 498-517, June.

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    More about this item

    Keywords

    Tariff-rate quota; trade modelling; mathematical programming; complementarity;
    All these keywords.

    JEL classification:

    • F10 - International Economics - - Trade - - - General
    • F11 - International Economics - - Trade - - - Neoclassical Models of Trade

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