Eficiencia y productividad en las unidades de transferencia de resultados de investigación científica en México

  1. Jorge Antonio Yeverino Juárez 1
  2. María Ángeles Montoro Sánchez 2
  1. 1 Universidad Michoacana de San Nicolás de Hidalgo
    info

    Universidad Michoacana de San Nicolás de Hidalgo

    Morelia, México

    ROR https://ror.org/00z0kq074

  2. 2 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

Revista:
Contaduría y administración

ISSN: 0186-1042 2448-8410

Año de publicación: 2019

Volumen: 64

Número: 3

Tipo: Artículo

DOI: 10.22201/FCA.24488410E.2019.1421 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: Contaduría y administración

Resumen

El objetivo de este trabajo es evaluar y determinar los niveles de eficiencia y productividad entre las unidades académicas involucradas en la transferencia tecnológica de investigación científica entre 2012 y 2013. La investigación empírica se basa en la encuesta aplicada a 21 centros de investigación y educación superior en México. Se diseñaron dos modelos complementarios, un modelo de programación lineal de envolvimiento de datos (método DEA) y un modelo estocástico de frontera (método SFE). Los resultados obtenidos mediante métodos paramétricos y no paramétricos muestran una fuerte heterogeneidad inicial en las instituciones de educación superior y centros públicos de investigación que participan desde 2011 en estos procesos en México. En contraste con otros países más desarrollados, la productividad es limitada en factores como número e ingresos por licencias, número de notificaciones de invenciones, gasto en propiedad intelectual, y experiencia de las oficinas de transferencia tecnológica. Finalmente, se diseñó un modelo de datos de panel dinámico en una segunda muestra para evaluar la continuidad de los resultados preliminares para el período entre 2014 y 2016; los resultados muestran que el gasto público en I+D y el número de acuerdos academia-industria continúan incidiendo positivamente en la productividad de las entidades académicas.

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