IDEAS home Printed from https://ideas.repec.org/p/ags/pugtwp/331791.html
   My bibliography  Save this paper

Impacts of the Doha Round on Brazilian, Chinese and Indian agribusiness

Author

Listed:
  • Gomes Pereira, Matheus Wemerson
  • Teixeira, Erly Cardoso
  • Raszap-Skorbiansky, Sharon

Abstract

The central themes to be addressed during the Doha Round of the world trade negotiations are the reduction of the agricultural production and export subsidies and improved market access for agricultural and non-agricultural goods. The G-20 group wields enough power to press negotiations at the Doha Round toward lower agricultural trade barriers and production and export subsidies. The objective of this study is to determine the impacts of the Doha Round on the economies of Brazil, China, and India. The Global Trade Analysis Project's (GTAP) general equilibrium model and database (version 7) are used. The Doha Round scenarios simulated in this paper consider the WTO agricultural production and export subsidy reduction requirement, and the application of the Harbinson approach, and Swiss formula to reduce import tariffs. Brazil and China present the highest GDP growth rate varying from 0.4 % to 1.4%. India shows a negative GDP growth rate in all scenarios, except in that which replicates the Uruguay Round. The welfare gains are positive, but small, for Brazil, China and India. The GDP loss observed in the economies of the EU25 and the US may make it difficult to reach a trade agreement at the Doha Round.

Suggested Citation

  • Gomes Pereira, Matheus Wemerson & Teixeira, Erly Cardoso & Raszap-Skorbiansky, Sharon, 2008. "Impacts of the Doha Round on Brazilian, Chinese and Indian agribusiness," Conference papers 331791, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  • Handle: RePEc:ags:pugtwp:331791
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/331791/files/3727.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michael Abbott & Orley Ashenfelter, 1976. "Labour Supply, Commodity Demand and the Allocation of Time," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 43(3), pages 389-411.
    2. Hertel, Thomas, 1997. "Global Trade Analysis: Modeling and applications," GTAP Books, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, number 7685, December.
    3. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    4. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Linh, Pham Thi Ngoc & Burton, Michael P. & Vanzetti, David, 2008. "The welfare of small livestock producers in Vietnam under trade liberalisation-- Integration of trade and household models," 2008 Conference (52nd), February 5-8, 2008, Canberra, Australia 6023, Australian Agricultural and Resource Economics Society.
    2. Ole Boysen, 2019. "When does specification or aggregation across consumers matter for economic impact analysis models? An investigation into demand systems," Empirical Economics, Springer, vol. 56(1), pages 137-172, January.
    3. Mora Rodriguez, Jhon James, 2013. "Introduccion a la teoría del consumidor [Introduction to Consumer Theory]," MPRA Paper 48129, University Library of Munich, Germany, revised 08 Jul 2013.
    4. Säll, Sarah, 2018. "Environmental food taxes and inequalities: Simulation of a meat tax in Sweden," Food Policy, Elsevier, vol. 74(C), pages 147-153.
    5. Gregory J. WERDEN, 1997. "Simulating The Effects Of Differentiated Products Mergers: A Practitioners' Guide," Department of Resource Economics Regional Research Project 967, University of Massachusetts.
    6. Taniguchi, Kiyoshi & Chern, Wen S., 2000. "Income Elasticity Of Rice Demand In Japan And Its Implications: Cross-Sectional Data Analysis," 2000 Annual meeting, July 30-August 2, Tampa, FL 21755, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Bjarne Jensen & Paul Boer & Jan Daal & Peter Jensen, 2011. "Global restrictions on the parameters of the CDES indirect utility function," Journal of Economics, Springer, vol. 102(3), pages 217-235, April.
    8. Huffman, Wallace, 2004. "Marketizing U.S. Production in the Post-War Era: Implications for Estimating CPI Bias and Real Income from a Complete-Household-Demand System," Staff General Research Papers Archive 11987, Iowa State University, Department of Economics.
    9. Mette Lunde Christensen, 2002. "Heterogeneity in consumer demands and the income effect: evidence from panel data," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C4-1, International Conferences on Panel Data.
    10. Yu, Wusheng & Hertel, Thomas W. & Preckel, Paul V. & Eales, James S., 2004. "Projecting world food demand using alternative demand systems," Economic Modelling, Elsevier, vol. 21(1), pages 99-129, January.
    11. Tarkka, Juha & Willman, Alpo & Rasi, Chris-Marie, 1989. "Labour supply, wages and prices in the BOF4 quarterly model of the Finnish economy," Research Discussion Papers 6/1989, Bank of Finland.
    12. Jung Min Lee & Chanjin Chung, 2024. "Estimating Market Power Exertion in the U.S. Beef Packing Industry: An Illustration of Data Aggregation Bias Using Simulated Data," Sustainability, MDPI, vol. 16(9), pages 1-19, April.
    13. Yang, Anton, 2021. "Structural Estimation of a Gravity Model of Trade with the Constant-Difference-of-Elasticities," Conference papers 333297, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    14. A. Montini, 1999. "I consumi alimentari delle famiglie italiane: un modello per le decisioni di consumo extradomestico utilizzando i microdati di spesa familiare," Working Papers 364, Dipartimento Scienze Economiche, Universita' di Bologna.
    15. Mona Chitnis, Roger Fouquet, and Steve Sorrell, 2020. "Rebound Effects for Household Energy Services in the UK," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 31-60.
    16. Mun Ho & Wolfgang Britz & Ruth Delzeit & Florian Leblanc & Roberto Roson & Franziska Schuenemann & Matthias Weitzel, 2020. "Modelling Consumption and Constructing Long-Term Baselines in Final Demand," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 5(1), pages 63-108, June.
    17. Irz, Xavier & Mazzocchi, Mario & Réquillart, Vincent & Soler, Louis-Georges, 2015. "Research in Food Economics: past trends and new challenges," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 96(01), pages 187-237, March.
    18. Asche, Frank & Guttormsen, Atle G. & Kristofersson, Dadi & Roheim, Cathy A., 2005. "Import Demand Estimation and the Generalized Composite Commodity Theorem," 2005 Annual meeting, July 24-27, Providence, RI 19432, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Chavas, Jean-Paul, 2013. "On Demand Analysis and Dynamics: A Benefit Function Approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149683, Agricultural and Applied Economics Association.
    20. Paula Carvalho Pereda & Denisard Cneio de Oliveira Alves, 2008. "Demand for Nutrients in Brazil," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807211136590, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:pugtwp:331791. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/gtpurus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.