Technological Capabilities for the Adoption of New Technologies in the Agri-Food Sector of Mexico

Juan Manuel Vargas-Canales ()
Additional contact information
Juan Manuel Vargas-Canales: Departamento de Estudios Sociales, División de Ciencias Sociales y Administrativas, Campus Celaya-Salvatierra, Universidad de Guanajuato, Calle Universidad 600, Col. Janicho, Salvatierra 38933, Guanajuato, Mexico

Agriculture, 2023, vol. 13, issue 6, 1-16

Abstract: Agriculture 4.0 and 5.0 generate good expectations of satisfying the growing demand for food in a sustainable way. However, in order to make effective use of scientific and technological developments, infrastructure, knowledge, experience and skills are required. In this sense, the objective of this research was to analyze the technological capacity of the Mexican agri-food sector for the adoption of new technologies. The documentary research method was used, and the information was obtained from the Encuesta Nacional Agropecuaria, the Instituto Nacional de Estadística y Geografía and the Instituto Mexicano para la Competitividad. A cluster analysis was performed to generate a typology of states, in addition to an analysis of variance with the Kruskal–Wallis H Test for independent samples, for which the IBM ® SPSS Statistics program was used. The variables analyzed presented very low values, indicating low technological capabilities. Three clusters of states with different technological capabilities were identified. The first was formed of four states in the north of the country with high technological capabilities, for which it was expected that they would have higher adoption rates. Next, there was a group made up of ten states in the north and center of the country with intermediate technological capabilities. Finally, there was a group of 18 states of the country made up of states from the center and south of the country, which present the lowest levels. The results indicate that the technological capacities for the adoption of new technologies in the Mexican agri-food sector are low in general, and are concentrated in some highly specialized regions linked to international markets.

Keywords: smart agriculture; technological change; science and technology; innovation; sustainability (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2077-0472/13/6/1177/pdf (application/pdf)
https://www.mdpi.com/2077-0472/13/6/1177/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:13:y:2023:i:6:p:1177-:d:1161016

Access Statistics for this article

Agriculture is currently edited by Ms. Leda Xuan

More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().