Abstract
This study examines the relative efficiency of the R&D process across a group of 22 developed and developing countries using Data Envelopment Analysis (DEA). The R&D technical efficiency is examined using a model with patents granted to residents as an output and gross domestic expenditure on R&D and the number of researchers as inputs. Under CRS (Constant Returns to Scale), Japan, the Republic of Korea and China are found to be efficient, whereas under the VRS (Variable Returns to Scale) framework, Japan, the Republic of Korea, China, India, Slovenia and Hungary are found to be efficient. The emergence of some of the developing nations on the efficiency frontier indicates that these nations can also serve as benchmarks for their efficient use of R&D resources. The inefficiency in the R&D resource usage highlighted by this study indicates the underlying potential that can be tapped for the development and growth of nations.
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Banker, R. D., Charnes, A., Cooper, W. W. (1984), Some models for estimating technical and scale efficiencies in data envelopment analysis, Management Science, 30(9): 1078–1092.
Braun, T., Glänzel, W., Schubert, A. (1991), The bibliometric assessment of UK scientific performance — Some comments on Martin’s “reply”, Scientometrics, 20(2): 359–362.
Charnes, A., Cooper, W. W., Rhodes, E. (1978), Measuring the efficiency of decision making units, European Journal of Operational Research, 2(6): 429–444.
Cohen, W. M., Levinthal, D. A. (1989), Innovation and learning: the two faces of R & D, The Economic Journal, 99(397): 569–596.
Comanor, W. S., Scherer, F. M. (1969), Patent statistics as a measure of technical change, The Journal of Political Economy, 77(3): 392–398.
Costas, R., Iribarren-Maestro, I. (2007), Variations in content and format of ISI databases in their different versions: The case of the Science Citation Index in CD-ROM and the Web of Science, Scientometrics, 72(2): 167–183.
DEAP 2.1 (2006), Centre for Efficiency and Productivity Analysis, http://www.uq.edu.au/economics/cepa/software.htm accessed 15.11.2006.
Egghe, L., Rousseau, R., Hooydonk, G. V. (2000), Methods for accrediting publications to authors or countries: consequences for evaluation studies, Journal of the American Society for Information Science, 51(2): 145–157.
Farrell, M. J. (1957), The measurement of productive efficiency, Journal of the Royal Statistical Society, Series A (General), 120(3): 253–290.
Garg, K. C., Padhi, P. (2001), A study of collaboration in laser science and technology, Scientometrics, 51(2): 415–427.
Goto, A., Suzuki, K. (1989), R & D capital, rate of return on R & D investment and spillover of R & D in Japanese manufacturing industries, The Review of Economics and Statistics, 71(4): 555–564.
Government of India (2006), Research & Development Statistics 2004-05, Department of Science and Technology, New Delhi.
Griliches, Z. (1979), Issues in assessing the contribution of research and development to productivity growth, The Bell Journal of Economics, 10(1): 92–116.
Griliches, Z. (1990), Patent statistics as economic indicators: A survey part I, NBER Working Paper Series, Working Paper No. 3301.
Guan, J., Ma, N. (2004), A comparative study of research performance in computer science, Scientometrics, 61(3): 339–359.
Guan, J., Wang, J. (2004), Evaluation and interpretation of knowledge production efficiency, Scientometrics, 59(1): 131–155.
Guan, J., He, Y. (2005), Comparison and evaluation of domestic and international outputs in information science and technology research of China, Scientometrics, 65(2): 215–244.
Hall, B. H., Griliches, Z., Hausman, J. A. (1986), Patents and R and D: Is there a lag? International Economic Review, 27(2): 265–283.
Huang, C., Varum, C. A., Gouveia, J. B. (2006), Scientific productivity paradox: The case of China’s S&T system, Scientometrics, 69(2): 449–473.
Karkazis, J., Thanassoulis, E. (1998), Assessing the effectiveness of regional development policies in Northern Greece using data envelopment analysis, Socio-Economic Planning Sciences, 32(2): 123–137.
Lucas, Jr. R. E. (1988), On the mechanics of economic development, Journal of Monetary Economics, 22: 3–42.
Maclaurin, W. R. (1953), The sequence from invention to innovation and its relation to economic growth, The Quarterly Journal of Economics, 67(1): 97–111.
Martin, B. R. (1991), The bibliometric assessment of UK scientific performance. A reply to Braun, Glänzel and Schubert, Scientometrics, 20(2): 333–357.
Meng, W., Hu, Z., Liu, W. (2006), Efficiency evaluation of basic research in China, Scientometrics, 69(1): 85–101.
Moed, H. F. (2002), Measuring China’s research performance using the Science Citation Index, Scientometrics, 53(3): 281–296.
Nelson, R. R. (1982), The role of knowledge in R&D efficiency, The Quarterly Journal of Economics, 97(3): 453–470.
OECD (1994), The Patent Manual — Using Patent Data as Science and Technology Indicators.
OECD (1995), The CANBERRA Manual — The Measurement of Human Resources devoted to S&T.
OECD (2002), The FRASCATI Manual — Proposed Standard Practice for Surveys on Research and Experimental Development, 6/e.
OECD (2004), The Science and Technology Statistical Compendium.
OECD (2005), The OSLO Manual — Guidelines for Collecting and Interpreting Innovation Data, 3/e.
Pavitt, K. (1985), Patent statistics as indicators of innovative activities: Possibilities and problems, Scientometrics, 7(1): 77–99.
Romer, P. M. (1990), Endogenous technological change, The Journal of Political Economy, 98(5, Part 2): S71–S102.
Rousseau, S., Rousseau, R. (1997), Data envelopment analysis as a tool for constructing scientometric indicators, Scientometrics, 40(1): 45–56.
Rousseau, S., Rousseau, R. (1998), The scientific wealth of European nations: Taking effectiveness into account, Scientometrics, 42(1): 75–87.
Schubert, A., Glänzel, W., Braun, T. (1989), Scientometric datafiles. A comprehensive set of indicators on 2649 journals and 96 countries in all major science fields and sub fields 1981–1985, Scientometrics, 16(1–6).
Schumpeter, J. (1947), The creative response in economic history, The Journal of Economic History, 7(2): 149–159.
Science Citation Index Expanded Database (2007), ISI Web of Science v.3.0, http://portal.isiknowledge.com/portal.cgi?DestApp=WOS&Func=Frame, accessed 15.07.2007
Segerstrom, P. S. (1991), Innovation, imitation, and economic growth, The Journal of Political Economy, 99(4): 807–827.
Soete, L. G., Wyatt, S. M. E. (1983), The use of foreign patenting as an internationally comparable science and technology output indicator, Scientometrics, 5(1): 31–54.
Solow, R. M. (1957), Technical change and the aggregate production function, The Review of Economics and Statistics, 30(3): 312–320.
Teitel, S. (1994), Patents, R&D expenditures, country size, and per capita income: An international comparison, Scientometrics, 29(1): 137–159.
UN National Accounts Database (2007), http://unstats.un.org/unsd/snaama/introduction.asp accessed 15.07.2007
UN (2004), The Demographic Yearbook 2004, http://unstats.un.org/unsd/demographic/products/dyb/default.htm accessed 15.07.2007
Unesco Institute of Statistics Database (2007), http://www.uis.unesco.org/ev.php?ID=5182_201&ID2=DO_TOPIC accessed 15.07.2007
UNESCO (1984), The Manual for Statistics on Scientific and Technological Activities.
Vinkler, P. (1986), Management system for a scientific research institute based on the assessment of scientific publications, Research Policy, 15: 77–87.
WIPO Statistics Database (2006), http://www.wipo.int/ipstats/en/statistics/patents accessed 15.11.2006
WIPO (2006), WIPO Patent Report — Statistics on Worldwide Patent Activity.
World Bank List of Economies, July 2007 (2007), http://siteresources.worldbank.org/DATASTATISTICS/Resources/CLASS.XLS, accessed 07.08.2007
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Sharma, S., Thomas, V.J. Inter-country R&D efficiency analysis: An application of data envelopment analysis. Scientometrics 76, 483–501 (2008). https://doi.org/10.1007/s11192-007-1896-4
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DOI: https://doi.org/10.1007/s11192-007-1896-4