全球科技生产效率:前沿分析

Pub Date : 2021-12-20 DOI:10.7160/eriesj.2021.140402
Gustavo Ferro, C. Romero
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引用次数: 0

摘要

我们感兴趣的是编纂的知识是如何在全球范围内产生的(哪些投入被用来生产科学文章和专利发明)以及这个过程的效率(表现最好的人如何用同样的投入生产更多的东西,或者用更少的投入生产同样的东西)。使用数据包络分析(DEA)效率前沿方法,我们旨在确定哪些国家在生产编纂知识方面效率更高。我们通过人类(研究人员)和非人类(研发支出)资源获得的出版物和专利来代理知识生产。我们建立了一个历时15年的数据库,其中包含了对这些变量和其他变量的800多次观察。我们的研究结果使我们能够根据国家、地理区域和收入区域来区分效率。我们运行了四种不同的规格,并将结果与部分生产率指标相关联,以寻求一致性。在规模报酬不变的情况下,最传统的知识生产者并非完全有效。相反,资源有限的小国似乎效率很高。当我们加上环境条件时,这两组国家都是知识产出的有效生产者。一方面是高收入地区,另一方面是东亚、北美、欧洲和中亚,它们是知识生产效率最高的地区。
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The Productive Efficiency of Science and Technology Worldwide: A Frontier Analysis
We are interested in how codified knowledge is produced around the globe (which inputs are used to produce scientific articles and patented inventions) and the efficiency of the process (how do the best performers produce more with the same inputs or produce the same with less inputs). Using a Data Envelopment Analysis (DEA) efficiency frontier approach, we aim to determine which countries are more efficient at producing codified knowledge. We proxy knowledge production by publications and patents, obtained through human (researchers) and non-human (R&D expenditure) resources. We built a 15-year database with more than 800 observations of these and other variables. Our findings enable us to distinguish efficiency by country, geographical region, and income area. We run four different specifications and correlate the results with partial productivity indexes seeking consistency. Under constant returns to scale, the most traditional producers of knowledge are not fully efficient. Instead, small countries with limited resources appear to be efficient. When we add environmental conditions, both sets of countries are efficient producers of knowledge outputs. High-income regions, on the one hand, and East Asia, North America, and Europe and Central Asia, on the other, are the most efficient regions at producing knowledge.
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