Measuring Productivity of Research in Economics. A Cross-Country Study Using DEA
AbstractUsing 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.
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Bibliographic InfoPaper provided by Vienna University of Economics, Department of Economics in its series Department of Economics Working Papers with number wuwp077.
Date of creation: Aug 2001
Date of revision:
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research in economics; productivity analysis; cross-country study; data envelopment analysis (DEA);
Other versions of this item:
- Kocher, Martin G. & Luptacik, Mikulas & Sutter, Matthias, 2006. "Measuring productivity of research in economics: A cross-country study using DEA," Socio-Economic Planning Sciences, Elsevier, vol. 40(4), pages 314-332, December.
- Kocher, Martin G. & Luptácik, Mikulás & Sutter, Matthias, 2006. "Measuring productivity of research in economics: A cross-country study using DEA," Munich Reprints in Economics 18192, University of Munich, Department of Economics.
- A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
- A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
This paper has been announced in the following NEP Reports:
- NEP-ALL-2001-08-21 (All new papers)
- NEP-EFF-2001-10-22 (Efficiency & Productivity)
- NEP-MIC-2001-08-21 (Microeconomics)
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