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An international comparison of relative contributions to academic productivity

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Abstract

This paper presents a methodology for measuring the improvements in efficiency and adjustments in the scale of R&D (Research & Development) activities. For this purpose, this study decomposes academic productivity growth into components attributable to (1) world academic frontier change, (2) R&D efficiency change, (3) human capital accumulation, and (4) capital accumulation. The world academic frontier at each point in time is constructed using data envelopment analysis (DEA). This study calculates each of the above four components of academic productivity for 27 countries over 1990–2003, and finds that the components which contribute to academic productivity growth vary with the different countries’ characteristics and development stages. Human capital has more weight in terms of the quantity of academic research, and capital accumulation plays a more important role in the citation impact of academic research.

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References

  • Abramo, G., D’Angelo, N., Pugini, F. (2008), The measurement of Italian universities’ research productivity by a non parametric-bibliometric methodology, Scientometrics, 76(2): 225–244.

    Article  Google Scholar 

  • Adams, J., (1990), Fundamental stocks of knowledge and productivity growth, Journal of Political Economy, 98: 673–702.

    Article  Google Scholar 

  • Adams, J. D., Griliches, Z. (2000), Research productivity in a system of universities. In: Encaoua, D. (Ed.), The Economics and Econometrics of Innovation. Kluwer Academic Publishers, Boston.

    Google Scholar 

  • Bonaccorsi, A., Dario, C. (2003), A robust nonparametric approach to the analysis of scientific productivity, Research Evaluation, 12: 47–69.

    Article  Google Scholar 

  • Bonaccorsi, A., Dario, C. (2004), Econometric approaches to the analysis of productivity of R&D systems, In: H. F. Moed, W. Glänzel, U. Schmoch (Eds), Handbook of Quantitative Science and Technology Research: The Use of Publication and Patent Statistics in Studies of S&T Systems (pp. 51–74). Dordrecht/Boston/London: Kluwer Academic Publisher.

    Google Scholar 

  • Bonaccorsi, A., Daraio, C., Simar, L. (2006), Advanced indicators of productivity of universities. An application of robust nonparametric methods to Italian data, Scientometrics, 66(2): 389–410.

    Article  Google Scholar 

  • Caves, D., Christense, L., Diewert, W. (1982), The economic theory of index numbers and the measurement of input, output, and productivity, Econometrica, 50: 1393–1414.

    Article  MATH  Google Scholar 

  • Charnes, A., Cooper, W., Lewin, A., Seiford, L. M. (Eds) (1994), Data Envelopment Analysis: Theory, Methodology, and Application. Boston: Kluwer Academic Publishers.

    Google Scholar 

  • Charnes, A., Cooper, W. W., Rhodes, E. (1978), Measuring the efficiency of decision making units, European Journal of Operational Research, 2: 429–444.

    Article  MathSciNet  MATH  Google Scholar 

  • Crespi, G. A., Geuna, A. (2008), An empirical study of scientific production: A cross country analysis, 1981–2002, Research Policy, 37: 565–579.

    Article  Google Scholar 

  • European Commission (2003), Third Edition of the European Report on Science and Technology Indicators. Luxembourg: Office for Official Publications of the European Communities.

    Google Scholar 

  • Färe, R., Grosskopf, S., Norris, M., Zhang, Z. (1994), Productivity growth, technical progress, and efficiency change in industrialized countries, American Economic Review, 84(1): 66–83.

    Google Scholar 

  • Farrell, M. J. (1957), The measurement of productive efficiency, Journal of the Royal Statistical Society, Series A CXX(3): 253–290.

    Article  Google Scholar 

  • Goto, A., Suzuki, K. (1989), R&D capital, rate of return on R&D investment and spillover of R&D in Japanese manufacturing industries, Review of Economics and Statistics, 71: 555–564.

    Article  Google Scholar 

  • Grilliches, Z. (1979), Issues in assessing the contribution of research and development to productivity growth, The Bell Journal of Economics, 10: 92–116.

    Article  Google Scholar 

  • Guellec, D., van Pottelsberghe de la Potterie, B. (2004), From R&D to productivity growth: Do the institutional settings and the source of funds of R&D matter? Oxford Bulletin of Economics and Statistics, 66(3): 353–378.

    Article  Google Scholar 

  • King, D. A. (2004), The scientific impact of nations, Nature, 430: 311–316.

    Article  Google Scholar 

  • Korhonen, P., Tainio, R., Wallenius, J. (2001), Value efficiency analysis of academic research, European Journal of Operational Research, 130: 121–132.

    Article  MATH  Google Scholar 

  • Kumar, S., Russell, R. R. (2002), Technological change, technological catch-up, and capital deepening: Relative contributions to growth and convergence, American Economic Review, 92(3): 527–548.

    Article  Google Scholar 

  • May, R. M. (1997), The scientific wealth of nations, Science, 275: 793–796.

    Article  Google Scholar 

  • Meng, W., Hu, Z., Liu, W. (2006), Efficiency Evaluation of Basic Research in China, Scientometrics, 69(1): 85–101.

    Article  Google Scholar 

  • National Science Board (2008). Science and Engineering Indicators 2008. Arlington, VA: NSF.

    Google Scholar 

  • National Science Indicators on Diskette, Thomson Scientific Inc., USA.

  • OECD. (2008). OECD Science, Technology and Industry Outlook. Paris: OECD.

    Book  Google Scholar 

  • Rousseau S., Rousseau, R. (1997), Data envelopment analysis as a tool for constructing scientometrics indicators, Scientometrics, 40(1): 45–56.

    Article  Google Scholar 

  • Rousseau, S., Rousseau, R. (1998), The scientific wealth of European nations: Taking effectiveness into account, Scientometrics, 42(1): 75–87.

    Article  Google Scholar 

  • Sharma, S., Thomas, V. J. (2008), Inter-country R&D efficiency analysis: An application of data envelopment analysis, Scientometrics, 76(3): 483–501.

    Article  Google Scholar 

  • Shelton, R. D. (2008), Relations between national research investments inputs and publication outputs: Application to the American Paradox, Scientometrics, 74(2): 191–205.

    Article  Google Scholar 

  • SOARES DE MELLO, J. C. C. B., GOMES, E. G., ANGULO-MEZA, L., SOARES DE MELLO, M. H. C., SOARES DE MELLO, A. J. R. (2006), Engineering Post-graduate programmes: A quality and productivity analysis, Studies in Educational Evaluation, 32: 136–152.

    Article  Google Scholar 

  • Thursby, J. G., Kemp, S. (2002), Growth and productive efficiency of university intellectual property licensing, Research Policy, 31:109–124.

    Article  Google Scholar 

  • Thursby, J., Thursby, M. (2002), Who is selling the ivory tower? Sources of growth in university licensing, Management Science, 48(1): 90–104.

    Article  Google Scholar 

  • Wang, E. C., Huang, W. (2007), Relative efficiency of R&D activities: A cross-country study accounting for environmental factors in the DEA approach, Research Policy, 36: 260–273.

    Article  Google Scholar 

  • Worthington, A. C., Lee, B. L. (2008), Efficiency, technology and productivity change in Australian universities 1998–2003, Economics of Education Review, 27(3): 285–298.

    Article  Google Scholar 

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Correspondence to Ling-Chu Lee.

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Hung, WC., Lee, LC. & Tsai, MH. An international comparison of relative contributions to academic productivity. Scientometrics 81, 703–718 (2009). https://doi.org/10.1007/s11192-008-2210-9

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