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Impacts of El Niño-Southern Oscillation on the wheat market: A global dynamic analysis

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  • Luciano Gutierrez

Abstract

Although the widespread influence of the El Niño-Southern Oscillation (ENSO) occurrences on crop yields of the main agricultural commodities is well known, the global socio-economic consequences of ENSO still remain uncertain. Given the global importance of wheat for global consumption by providing 20% of global calories and nourishment, the monitoring and prediction of ENSO-induced variations in the worldwide wheat market are essential for allowing national governments to manage the associated risks and to ensure the supplies of wheat for consumers, including the underprivileged. To this end, we propose a global dynamic model for the analysis of ENSO impacts on wheat yield anomalies, export prices, exports and stock-to-use ratios. Our framework focuses on seven countries/regions: the six main wheat-exporting countries—the United States, Argentina, Australia, Canada, the EU, and the group of the main Black Sea export countries, i.e. Russia, Ukraine, and Kazakhstan—plus the rest of the world. The study shows that La Niña exerts, on average, a stronger and negative impact on wheat yield anomalies, exports and stock-to-use ratios than El Niño. In contrast, wheat export prices are positively related to La Niña occurrences evidencing, once again, its steady impact in both the short and long run. Our findings emphasize the importance of the two ENSO extreme phases for the worldwide wheat market.

Suggested Citation

  • Luciano Gutierrez, 2017. "Impacts of El Niño-Southern Oscillation on the wheat market: A global dynamic analysis," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-22, June.
  • Handle: RePEc:plo:pone00:0179086
    DOI: 10.1371/journal.pone.0179086
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    References listed on IDEAS

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    Cited by:

    1. Gianfranco Giulioni & Edmondo Di Giuseppe & Massimiliano Pasqui & Piero Toscano & Francesco Miglietta, 2018. "Investigating Wheat Price with a Multi-Agent Model," Papers 1807.10537, arXiv.org.
    2. Jin Guo & Tetsuji Tanaka, 2020. "Examining the determinants of global and local price passthrough in cereal markets: evidence from DCC-GJR-GARCH and panel analyses," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 8(1), pages 1-22, December.
    3. Wei, Yu & Zhang, Jiahao & Chen, Yongfei & Wang, Yizhi, 2022. "The impacts of El Niño-southern oscillation on renewable energy stock markets: Evidence from quantile perspective," Energy, Elsevier, vol. 260(C).
    4. Guillaume Pierre & Jonathan Kaminski, 2019. "Cross country maize market linkages in Africa: integration and price transmission across local and global markets," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 79-90, January.
    5. Luciano Gutierrez & Guillaume Pierre & Maria Sabbagh, 2022. "Agricultural Grain Markets in the COVID-19 Crisis, Insights from a GVAR Model," Sustainability, MDPI, vol. 14(16), pages 1-13, August.
    6. Pierre, G. & Kaminsky, J., 2018. "Cross country maize market linkages in Africa: integration and price transmission across local and global markets," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277126, International Association of Agricultural Economists.
    7. Valeria Bejarano-Salcedo & Juan Manuel Julio-Román & Edgar Caicedo-García & Julián Alonso Cárdenas-Cárdenas, 2020. "Entendiendo, Modelando y Pronosticando el Efecto de “El Niño” Sobre los Precios de los Alimentos: El Caso Colombiano," Borradores de Economia 1102, Banco de la Republica de Colombia.

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