TECHNOLOGICAL CAPABILITIES IN MEXICAN AGROBIOTECHNOLOGY: A PROPOSAL FOR THEIR MEASUREMENT

Article Sidebar

PDF
Published: Mar 27, 2023
DOI: https://doi.org/10.22201/fe.01851667p.2023.324.82614

Main Article Content

Marcela Amaro Rosales
Institute of Social Research of the Universidad Nacional Autónoma de México (UNAM, Mexico)
Myrsia Eliany Sánchez Goicochea
Master’s degree in Economics with a specialization in Economics of Technology from the UNAM (Mexico)

Abstract

This article proposes a taxonomy to measure technological capabilities in biotechnology, specifically in agrobiotechnology. Based on this taxonomy, the case of Mexican companies is analyzed to identify the type and level of technological capabilities through a survey conducted between 2018 and 2019. The results show significant differences by type of company, it stands out that startups and multinational companies report predominantly basic levels in the areas of decision-making, linking, research and development, and generation of processes and products. While small and medium-sized companies have predominantly intermediate levels. These differences point to the need to generate differentiated industrial and technological policies that address the diversity of agrobiotechnology companies.

Article Details

How to Cite
Amaro Rosales, M., & Sánchez Goicochea, M. E. (2023). TECHNOLOGICAL CAPABILITIES IN MEXICAN AGROBIOTECHNOLOGY: A PROPOSAL FOR THEIR MEASUREMENT. Investigación Económica, 82(324), 72–97. https://doi.org/10.22201/fe.01851667p.2023.324.82614

Citas en Dimensions Service

Author Biographies

Marcela Amaro Rosales, Institute of Social Research of the Universidad Nacional Autónoma de México (UNAM, Mexico)

Investigadora asociada "C" tiempo completo del Instituto de Investigaciones Sociales UNAM 

SNI 1 

Myrsia Eliany Sánchez Goicochea, Master’s degree in Economics with a specialization in Economics of Technology from the UNAM (Mexico)

Profesora de la Facultad de Economía UNAM

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Authors who publish in this journal agree to the following conditions:

a) The authors retain the copy rights (copyright) and give the journal the right of first publication, with the work also under the Creative Commons Attribution License that allows third parties to use what is published as long as they refer to the author or authors of the article. work and its publication in this journal.

b) The authors are free to make other contractual agreements for the non-exclusive distribution of the article they publish in this journal (such as including it in an institutional collection or publishing it in a book), provided that they clearly indicate the original publication of the work in this journal.