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Integrating the ARIMA Model with Sustainable Practices to Forecast Corn Prices in Mexico

Author

Listed:
  • Leo Guzman-Anaya

    (Centro Universitario de Ciencias Economico Administrativas (CUCEA), Universidad de Guadalajara (UdeG))

Abstract

This article explores the integration of the ARIMA model with sustainable agricultural practices to forecast corn prices in Mexico. By combining statistical forecasting with ecological considerations, the study demonstrates improved accuracy in predicting price behavior. The findings suggest that aligning data-driven models with sustainability strategies enhances food system resilience and supports decision-making in agroeconomic planning.

Suggested Citation

  • Leo Guzman-Anaya, 2024. "Integrating the ARIMA Model with Sustainable Practices to Forecast Corn Prices in Mexico," Scientia et PRAXIS, AMIDI Editorial, vol. 4(8), pages 63-95, July-Dece.
    • Handle: RePEc:abs:journl:v:4:y:2024:i:8:p:63-95
    DOI: 10.55965/setp.4.08.a3
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    More about this item

    Keywords

    ARIMA model; price forecast; corn prices; agricultural prices; Mexico;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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