Measuring productivity of research in economics. A cross-country study using DEA.

Kocher, Martin G.; Luptácik, Mikulás and Sutter, Matthias (August 2001): Measuring productivity of research in economics. A cross-country study using DEA. Department of Economics Working Paper Series - Vienna University of Economics and Business

Abstract

Using a sample of 21 OECD-countries we measure productivity in top-edge economic research by using data envelopment analysis (DEA). DEA is a tool for evaluating relative efficiency and is widely used when there are multiple inputs and outputs and one lacks a specific functional form of a production function. The publications in 10 economics journals with the highest average impact factor over the time period 1980-1998 are taken as research output. Inputs are measured by R&D expenditures, number of universities with economics departments and (as uncontrolled variable) total population. Under constant returns-to-scale the USA are in dominant position with remarkable distance to other countries. Under variable returns-to-scale the efficiency frontier is created by the USA with most productive scale size (MPSS), and by Ireland and New Zealand, which are technical efficient but scale inefficient. All countries - except the USA - display increasing returns-to-scale, which shows that they have a possibility to improve their efficiency by scaling up their research activities.

• Item Type: Paper
• Faculties: Economics; Economics > Chairs > Chair of Empirical Economics
• Subjects: 300 Social sciences > 330 Economics
• JEL Classification: A11, A14, C61, D24
• Language: English