IDEAS home Printed from https://ideas.repec.org/a/bla/canjag/v69y2021i1p141-149.html
   My bibliography  Save this article

The effect of the Canada–China canola trade dispute on canola prices

Author

Listed:
  • Jacob Wells
  • Peter Slade

Abstract

In March 2019, China revoked the canola export licenses of two major Canadian exporters. We estimate the impact of these restrictions on Canadian canola prices. Using a vector error correction model to generate counterfactual prices, we estimate that between March 2019 and February 2020 canola prices were 3.6% lower than would have been expected in the absence of the import restrictions. We discuss the implications of our finding for both the ongoing negotiations between Canada and China and producer support in Canada. En mars 2019, la Chine a révoqué les licences d'exportation de canola de deux grands exportateurs canadiens. Nous estimons l'incidence de ces restrictions sur les prix du canola au Canada. En utilisant un modèle de correction d'erreur vectorielle pour générer des prix contrefactuels, nous estimons qu'entre mars 2019 et février 2020, les prix du canola étaient 3,6% inférieurs à ce qui aurait été attendu en l'absence des restrictions à l'importation. Nous discutons des implications de nos conclusions pour les négociations en cours entre le Canada et la Chine et le soutien aux producteurs au Canada.

Suggested Citation

  • Jacob Wells & Peter Slade, 2021. "The effect of the Canada–China canola trade dispute on canola prices," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(1), pages 141-149, March.
  • Handle: RePEc:bla:canjag:v:69:y:2021:i:1:p:141-149
    DOI: 10.1111/cjag.12258
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/cjag.12258
    Download Restriction: no

    File URL: https://libkey.io/10.1111/cjag.12258?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Pierre Boulanger & Hasan Dudu & Emanuele Ferrari & George Philippidis, 2016. "Russian Roulette at the Trade Table: A Specific Factors CGE Analysis of an Agri-food Import Ban," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 272-291, June.
    2. Søren Johansen & Rocco Mosconi & Bent Nielsen, 2000. "Cointegration analysis in the presence of structural breaks in the deterministic trend," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 216-249.
    3. Søren Johansen & Rocco Mosconi & Bent Nielsen, 2000. "Cointegration analysis in the presence of structural breaks in the deterministic trend," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 216-249.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Janelle Mann & Derek Brewin, 2021. "Investigating the Impact of Trade Disruptions on Price Transmission in Commodity Markets: An Application of Threshold Cointegration," JRFM, MDPI, vol. 14(9), pages 1-7, September.

    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. Islam Hassouneh & Teresa Serra & José M. Gil, 2010. "Price transmission in the Spanish bovine sector: the BSE effect," Agricultural Economics, International Association of Agricultural Economists, vol. 41(1), pages 33-42, January.
    2. Paul Gallimore & J. Andrew Hansz & Wikrom Prombutr & Ying Zhang, 2014. "Long-term Cointegrative and Short-term Causal Relations among U.S. Real Estate Sectors," International Real Estate Review, Global Social Science Institute, vol. 17(3), pages 359-394.
    3. Vijay Kumar Vishwakarma, 2021. "Long-run drivers and integration in interprovincial Canadian housing price relations," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 16(1), pages 22-40, November.
    4. Gadea, María Dolores & Kaabia, Monia Ben & Sabaté, Marcela, 2009. "Exchange rate regimes and prices: The cases of Italy, Spain and the United Kingdom (1874-1998)," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(3), pages 477-489, July.
    5. Minoas Koukouritakis, 2010. "Structural breaks and the expectations hypothesis of the term structure: evidence from Central European countries," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 145(4), pages 757-774, January.
    6. Takamitsu Kurita, 2019. "A Recursive Monte Carlo Study of Structural-Break Sensitivity of Adjustment Coefficients in Cointegrated VAR Systems," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(2), pages 251-270, June.
    7. Peia, Oana & Roszbach, Kasper, 2015. "Finance and growth: Time series evidence on causality," Journal of Financial Stability, Elsevier, vol. 19(C), pages 105-118.
    8. Salah A. Nusair & Naser I. Abumustafa, 2012. "Recursive Cointegration Analysis of Purchasing Power Parity: An Application to Asian Countries," The American Economist, Sage Publications, vol. 57(2), pages 196-209, November.
    9. J. Andrew Hansz & Wikrom Prombutr & Ying Zhang & Tingyu Zhou, 2017. "An Anatomy of the Interrelationship between Equity and Mortgage REITs," International Real Estate Review, Global Social Science Institute, vol. 20(3), pages 287-324.
    10. Koukouritakis, Minoas, 2013. "Expectations hypothesis in the context of debt crisis: Evidence from five major EU countries," Research in Economics, Elsevier, vol. 67(3), pages 243-258.
    11. Salah A. Nusair & Khalid M. Kisswani, 2015. "Asian Real Exchange Rates And Oil Prices: A Cointegration Analysis Under Structural Breaks," Bulletin of Economic Research, Wiley Blackwell, vol. 67(S1), pages 1-25, December.
    12. Kosei Fukuda, 2011. "Cointegration rank switching model: an application to forecasting interest rates," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(5), pages 509-522, August.
    13. Benjamin Leiva & Mar Rubio-Varas, 2020. "The Energy and Gross Domestic Product Causality Nexus in Latin America 1900-2010," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 423-435.
    14. Leiva, Benjamin & Liu, Zhongyuan, 2019. "Energy and economic growth in the USA two decades later: Replication and reanalysis," Energy Economics, Elsevier, vol. 82(C), pages 89-99.
    15. Koukouritakis, Minoas & Papadopoulos, Athanasios P. & Yannopoulos, Andreas, 2014. "Transmission effects in the presence of structural breaks: Evidence from South-Eastern European countries," Economic Modelling, Elsevier, vol. 41(C), pages 298-311.
    16. Paul Gallimore & J. Andrew Hansz & Wikrom Prombutr & Ying Zhang, 2014. "Long-term Cointegrative and Short-term Causal Relations among U.S. Real Estate Sectors," International Real Estate Review, Asian Real Estate Society, vol. 17(3), pages 359-394.
    17. Meng, Xianming & Hoang, Nam T. & Siriwardana, Mahinda, 2013. "The determinants of Australian household debt: A macro level study," Journal of Asian Economics, Elsevier, vol. 29(C), pages 80-90.
    18. Lips Johannes, 2017. "Do They Still Matter? – Impact of Fossil Fuels on Electricity Prices in the Light of Increased Renewable Generation," Journal of Time Series Econometrics, De Gruyter, vol. 9(2), pages 1-30, July.
    19. John L. Glascock & Wikrom Prombutr & Ying Zhang & Tingyu Zhou, 2018. "Can Investors Hold More Real Estate? Evidence from Statistical Properties of Listed REIT versus Non-REIT Property Companies in the U.S," The Journal of Real Estate Finance and Economics, Springer, vol. 56(2), pages 274-302, February.
    20. Caporin, Massimiliano & Fontini, Fulvio, 2017. "The long-run oil–natural gas price relationship and the shale gas revolution," Energy Economics, Elsevier, vol. 64(C), pages 511-519.

    More about this item

    Statistics

    Access and download statistics

    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:bla:canjag:v:69:y:2021:i:1:p:141-149. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/caefmea.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.