The agricultural policy of Mexico in the american context (1995-2020)

• Olvera-Avendaño, Aminta ^[1] ; Salas-González, José María ^[1] ; Zavala-Pineda, María Jessica ; Martínez-Bautista, Humberto ^[2] ; Sagarnaga-Villegas, Leticia Myriam ^[1] ; Abelino-Torres, Gonzalo ^[1] ; Leos-Rodríguez, Juan Antonio ^[1]
  1. [1] Universidad Autónoma Chapingo
  2. [2] Centro de Investigación en Matemáticas
• Localización: Agro Productividad, ISSN-e 2594-0252, Vol. 16, Nº. 8, 2023 (Ejemplar dedicado a: Agosto), págs. 37-44
• Idioma: inglés
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• Resumen

  • Objective: To analyze the long-term relationship of two groups of agricultural policy instruments classifiedby the OECD-Producer Support Estimator (PSE) and General Services Support Estimator (GSSE)-OECDclassification on Agricultural Gross Domestic Product (AGDP) in Mexico, USA, Canada, Chile and Brazilduring the period 1995-2020, to generate information that contributes to the design of agricultural policies.Design/Methodology/Approach: The information used in this work was developed by the OECD and wasintegrated into a time series for the 1995-2020 period. A quantitative analysis was carried out based on theeconometric method, applying the cointegration test.Results: The Canadian, Brazilian, and Mexican series are cointegrated, because the error of the model has aunit root (i.e., individual variables are not of order I(0)); however, the combination of their variables show thatthe error is a process I(0), with a zero mean. However, the Chilean and USA variables were not cointegrated.Study Limitations/Implications: An open market environment requires the development and implementationof policies that include the use of diverse and relevant instrument groups, guaranteeing that the resourcestransferred to the sector generate the expected results.Findings/Conclusions: In comparison with the PSE, the GSSE has a closer long-term relation with thegrowth of the agricultural GPB in most countries; therefore, using this group of instruments to transferresources to the sector is assumed to improve its performance to a greater degree.