文章基本信息

标题：Análisis estadístico de la capacidad mexicana de absorción y su influencia en la generación de conocimiento tecnológico
本地全文：下载
作者：Carla Carolina Pérez Hernández ; Jessica Moheno Mendoza ; Blanca Cecilia Salazar Hernández 等
期刊名称：Revista Innovar Journal Revista de Ciencias Administrativas y Sociales
印刷版ISSN：2248-6968
出版年度：2019
卷号：29
期号：72
页码：41-58
DOI：10.15446/innovar.v29n72.77892
出版社：Universidad Nacional de Colombia - Sede Bogotá
摘要：This paper seeks to examine the ideas-production function used for measuring the impact of macroeconomic indicators of the absorptive capacity and the stock of knowledge derived from technological results (measured in requested patents). For this purpose, we developed an econometric model using the fixed-effects panel data technique and collecting data from various public sources. A 17-year time series (2000-2016) and a timeless series were used to study 32 Mexican entities. Based on the econometric estimation, we identified that the quality of economic activities environment is the main driver in the generation of technological knowledge. Besides, the stock of human resources exhibits a positive but inelastic relationship with the generation of patents. The essential contribution of this work lies in the provision of empirical evidence at a subnational level regarding absorptive capacities, which is prone to influence better research, development and innovation policies for the region.
关键词：capacidad de absorción;panel de datos;efectos fijos;patentes solicitadas;capacidade de absorção;painel de dados;efeitos fixos;patentes solicitadas
其他关键词：Absorptive capacity;data panel;fixed effects;requested Patents