Vanilla (Vanilla planifolia) production in Mexico: analysis and forecast

Authors

  • Samuel Luis-Rojas Posgrado en Economía, Posgrado en Recursos Genéticos y Productividad-Campus Montecillo-Colegio de Postgraduados. Carretera México-Texcoco km 36.5, Montecillo, Texcoco, Estado de México. CP. 56230 http://orcid.org/0000-0003-0485-3695
  • Benito Ramírez-Valverde Posgrado en Estrategias para el Desarrollo Agrícola Regional-Campus Puebla-Colegio de Postgraduados. Carretera Federal México-Puebla km 125.5, Santiago Momoxpan, Puebla. CP. 73475
  • Maximino Díaz-Bautista Universidad Intercultural del Estado de Puebla-Cuerpo Académico UIEP-CA-2 ‘Estudios del Patrimonio Biocultural’. Lipuntahuaca, Huehuetla, Puebla. CP. 56230
  • José Pizano-Calderón Posgrado en Economía, Posgrado en Recursos Genéticos y Productividad-Campus Montecillo-Colegio de Postgraduados. Carretera México-Texcoco km 36.5, Montecillo, Texcoco, Estado de México. CP. 56230
  • Carmen Rodríguez-López Centro Gastronómico de Alto Rendimiento para la Nutrición Nacional (CGARNN). Calle Pinos núm. 1, Col. Guadalupe Victoria, Ciudad Serdán, Puebla. CP. 75520

DOI:

https://doi.org/10.29312/remexca.v11i1.2065

Keywords:

Box - Jenkins methodology, ARIMA models, orchid, agricultural planning, prediction

Abstract

Vanilla (Vanilla planifolia) is one of the most demanded aromatics in the culinary and soft drink industry, and among licit crops it is the most profitable, only after saffron. In 2017, production in Mexico was 505.32 tons, placing it as the fourth largest producer in the world after Madagascar, Indonesia and China. The objective of this study was to develop a forecast model for annual vanilla production in Mexico (PVAINI). The data were from the period 2000 to 2016 and the Box-Jenkins methodology of integrated autoregressive processes of moving averages (ARIMA) was used. The model parameters were estimated using the maximum likelihood method with the Statistical Analysis System computer package. A model based on the PVAINI series was adapted for the period 2000 to 2016 and validated with the data for the years 2016 and 2017. The best estimated model was ARIMA (1, 1, 1) and indicated that the PVAINI are explained with the production occurred 4 previous years. The predicted values for 2017 were close to the observed values. The ARIMA model represented PVAINI with some precision in the next year and provided information to plan and make decisions for the next six years.

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Published

2020-02-05

How to Cite

Luis-Rojas, Samuel, Benito Ramírez-Valverde, Maximino Díaz-Bautista, José Pizano-Calderón, and Carmen Rodríguez-López. 2020. “Vanilla (Vanilla Planifolia) Production in Mexico: Analysis and Forecast”. Revista Mexicana De Ciencias Agrícolas 11 (1). México, ME:175-87. https://doi.org/10.29312/remexca.v11i1.2065.

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