拉丁美洲的创新效率。通过数据包络分析的方法

Antonio Favila Tello
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引用次数: 2

摘要

本研究的目的是用2018年的数据衡量11个拉丁美洲国家的创新效率,并了解哪一个因素对这种现象的行为产生了更大的影响。假设所选国家产生专利申请的效率正取决于它们在七个投入方面的效率,即监管环境、基础教育、后基础教育、研究与开发、一般基础设施、投资与商业和竞争。为了证实上述情况,我们使用径向型数据包络分析(DEA)进行了测量,以产出为导向,规模回报恒定。结果表明,巴拉圭、哥伦比亚、巴西和阿根廷的效率最高;被评为效率最低的国家是哥斯达黎加、萨尔瓦多、危地马拉、墨西哥、厄瓜多尔和乌拉圭。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Eficiencia de la innovación en América Latina. Una aproximación a través del Análisis Envolvente de Datos
The objective of this research is to measure the innovation efficiency of eleven Latin American countries with data for the year 2018, as well as to know which of the factors considered had a greater impact on the behavior of this phenomenon. It is hypothesized that the efficiency in the generation of patent applications by the selected countries is positively determined by their efficiency in seven inputs called Regulatory Environment, Basic Education, Post-Basic Education, Research and Development, General Infrastructure, Investment and Commerce and Competition. To corroborate the above, a measurement was carried out using a radial type Data Envelopment Analysis (DEA), output oriented, with constant returns to scale. The results suggest that the highest efficiency was reached by Paraguay, Colombia, Brazil and Argentina; the countries evaluated as the least efficient were Costa Rica, El Salvador, Guatemala, Mexico, Ecuador and Uruguay.
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