Data Envelopment Analysis as a tool for constructing scientometric indicators

Abstract

It is shown that Data Envelopment Analysis (DEA) can be used to construct relative scientific and technological indicators. The method is explained and illustrated using countries as objects of study; GDP, active population and R&D expenditure as inputs, and publications and patents as outputs. Using these parameters the efficiency of countries is assessed.