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Triple Helix indicators of knowledge-based innovation systems, Research Policy (forthcoming)

Leydesdorff, Loet and Meyer, Martin (2006) Triple Helix indicators of knowledge-based innovation systems, Research Policy (forthcoming).

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Abstract

When two selection environments operate upon each other, mutual shaping in a co-evolution along a particular trajectory is one possible outcome. When three selection environments are involved, more complex dynamics can be expected as a result of interactions involving bi-lateral and tri-lateral relations. Three selection environments are specified in the Triple Helix model: (1) wealth generation (industry), (2) novelty production (academia), and (3) public control (government). Furthermore, this model somewhat reduces the complexity by using university-industry-government relations for the specification of the historical conditions of the non-linear dynamics. Whereas the historical analysis informs us about how institutions and institutional arrangements carry certain functions, the evolutionary analysis focuses on the functions of selection environments in terms of outputs. One can no longer expect a one-to-one correspondence between institutions and functions; a statistics is needed for the evaluation of how, for how long, and to what extent institutional arrangements enhance synergies among different selection environments. The empirical contributions to this Triple Helix issue point in the direction of “rich ecologies”: the construction of careful balances between differentiation and integration among the three functions.

EPrint Type:Preprint
Keywords:Triple helix; Innovation; Indicator; Trajectory; Non-linear
Subjects:Science Technology Studies
ID Code:1490
Deposited On:23 September 2006
Alternative Locations:http://www.leydesdorff.net/rp06th5/index.htm
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Abernathy, W. J., and K. B. Clark, 1985. Innovation: Mapping the winds of creative destruction. Research Policy 14, 3-22.

Andersen, E. S., 1994. Evolutionary Economics: Post-Schumpeterian Contributions. Pinter, London.

Arthur, W. B., 1988. Competing technologies, in: Dosi, G., Freeman, C., Nelson, R., Silverberg, G., Soete, L. (Eds), Technical Change and Economic Theory, Pinter, London, pp. 590-670.

Arthur, W. B, 1989. Competing technologies, increasing returns, and lock-in by historical events. Economic Journal, 99, 116-131.

Barras, R.,1990. Interactive innovation in financial and business services: the vanguard of the service revolution. Research Policy, 19, 215-237.

Beccatini, G., 2003. The development of Tuscany: industrial districts, in: G. Beccatini, M. Bellandi, G. dei Ottati & F. Sforzi (Eds.), From Industrial Districts to Local Development: An Itinerary of Research, Edward Elgar, Cheltenham, Northhampton, UK, pp. 11-28.

Callon, M., Méadel,C., Rabeharisoa, V., 2002. The economy of qualities. Economy and Society, 31(2), 194-217.

Cooke, P., Leydesdorff L., 2006. Regional development in the knowledge-based economy: the construction of advantages. Journal of Technology Transfer 31(1), 5-15.

David, P. A., Foray, D., 1994. Dynamics of competitive technology diffusion through local network structures: the case of EDI document standards, in: Leydesdorff, L., Van den Besselaar, P., (Eds.), Evolutionary Economics and Chaos Theory: New Directions in Technology Studies, Pinter, London, pp. 63-78.

Dosi, G., 1982. Technological paradigms and technological trajectories: a suggested interpretation of the determinants and directions of technical change. Research Policy, 11, 147-162.

Etzkowitz, H., 1994. Academic-industry relations: a sociological paradigm for economic development, in: Leydesdorff, L., Van den Besselaar, P. (Eds.), Evolutionary Economics and Chaos Theory: New Directions in Technology Studies. Pinter, London, pp. 139-151.

Etzkowitz, H., Leydesdorff. L., 1998. The endless transition: a “Triple Helix” of university-industry-government relations, Introduction to a theme issue. Minerva 36, 203-208.

Etzkowitz, H., Klofsten, M., 2005. The innovating region: toward a theory of knowledge-based regional development. R&D Management, 35(3), 243-255.

Faulkner, W., Senker, J,. 1994. Making sense of diversity: public-private sector research linkage in three technologies. Research Policy 23, 673-695.

Freeman, C., 1987. Technology and Economic Performance: Lessons from Japan. Pinter, London.

Freeman, C., Perez, C., 1988. Structural crises of adjustment, business cycles and investment behaviour, in: Dosi, G., Freeman, C., Nelson, R., Silverberg, G., Soete, L. (Eds.), Technical Change and Economic Theory. Pinter, London, pp. 38-66.

Frenken, K., Leydesdorff, L., 2000. Scaling trajectories in civil aircraft (1913-1970). Research Policy, 29(3), 331-348.

Fritsch, M., 2004. Cooperation and the efficiency of regional R&D activities. Cambridge Journal of Economics, 28, 829-846.

Fritsch, M., Stephan, A., 2005. Regionalization of innovation policy - introduction to the special issue. Research Policy, 34(8), 1123-1127.

Kline, S., Rosenberg, N., 1986. An overview of innovation, in: Landau, R., Rosenberg, N., (Eds.), The Positive Sum Strategy: Harnessing Technology for Economic Growth. National Academy Press, Washington, D.C., pp. 275-306.

Kooiman, J. (Ed.), 1993. Modern Governance: New Government-Society Interactions. Sage, London.

Leydesdorff, L., 2005. The evaluation of research and the evolution of science indicators. Current Science, 89(9), 1510-1517.

Leydesdorff, L., 2006a. The knowledge-based economy and the Triple Helix model, in: Dolfsma, W., Soete, L. (Eds.), Understanding the Dynamics of a Knowledge Economy. Edward Elger, Cheltenham, UK, pp. 42-76.

Leydesdorff, L. 2006b. Hyperincursion and the globalization of a knowledge-based economy, in: Dubois, D.M. (Ed.), Proceedings of the 7th International Conference on Computing Anticipatory Systems, CASYS’05. American Institute of Physics, Melville, NY, Vol. 839, pp. 560-569.

Leydesdorff, L. et al. 1980. Philips en de Wetenschap. Amsterdam: SUA.

Leydesdorff, L., Van den Besselaar, P. (Eds.)., 1994. Evolutionary Economics and Chaos Theory: New Directions in Technology Studies. Pinter, London and New York

Leydesdorff, L., Etzkowitz, H., 1998. The Triple Helix as a model for innovation studies. Science and Public Policy, 25(3), 195-203.

Li, T.-Y., Yorke, J.A., 1975. Period three implies chaos. American Mathematical Monthly, 82, 985-992.

Lundvall, B.-Å., 1988. Innovation as an interactive process: from user-producer interaction to the national system of innovation, in: Dosi, G., Freeman, C., Nelson, R., Silverberg, G., Soete, L., (Eds.), Technical Change and Economic Theory. Pinter, London, pp. 349-369.

McKelvey, M. D., 1996. Evolutionary Innovations: The Business of Biotechnology, Oxford University Press, Oxford.

McLuhan, M., 1964. Understanding Media: The Extension of Man, McGraw-Hill, New York.

Mowery, D. C., & A. A. Ziedonis. (2002). Academic patent quality and quantity before and after the Bayh-Dole Act in the United States. Research Policy, 31(3), 399-418.

Nelson, R. R., 1994. Economic growth via the coevolution of technology and institutions, in: Leydesdorff, L., Van den Besselaar, P., (Eds.), Evolutionary Economic and Chaos Theory: New Directions in Technology Studies, Pinter, London/New York, pp. 21-32.

Nelson, R. R., Winter, S.G., 1982. An Evolutionary Theory of Economic Change. Belknap Press of Harvard University Press, Cambridge, MA.

Nowak, M. J., Grantham, C.E., 2000. The virtual incubator: managing human capital in the software industry. Research Policy, 29(2), 125-134.

Pavitt, K., 1984. Sectoral patterns of technical change: towards a theory and a taxonomy. Research Policy, 13, 343-373.

Powell, W.W., DiMaggio, P.J. (Eds.), The New Institutionalism in Organisational Analysis. University of Chicago Press, Chicago, IL.

Raman, S., 2005. Institutional perspectives on science-policy boundaries. Science and Public Policy, 32(6), 418-422.

Rashevsky, N., 1940. An approach to the mathematical biophysics of biological self-regulation and of cell polarity. Bulletin of Mathematical Biophysics, 1, 15-25.

Sahal, D., 1985. Technological guideposts and innovation avenues. Research Policy, 14, 61-82.

Sapsalis, E., Van Pottelsberghe de la Potterie, B., Navon, R. (2006). Academic vs. industry patenting: An in-depth analysis of what determines patent value, Research Policy (this issue).

Schumpeter, J., [1939], 1964. Business Cycles: A Theoretical, Historical and Statistical Analysis of Capitalist Process. McGraw-Hill, New York.

Teubal, M., 1979. On user needs and need determination. aspects of a theory of technological innovation, in: Baker, M.J. (Ed.), Industrial Innovation. Technology, Policy and Diffusion , Macmillan Press, London, pp. 266-289.

Turing, A. M., 1952. The chemical basis of morphogenesis. Philosophical Transactions of the Royal Society, Series B, 237, 37-72.

Van den Belt, H., Rip, A., 1987. The Nelson-Winter-Dosi model and synthetic dye chemistry, in: Bijker, W.E., Hughes, T. P., Pinch, T.J., (Eds.), The Social Construction of Technological Systems. New Directions in the Sociology and History of Technology. MIT Press, Cambridge, MA, pp. 135-158.

Vavakova, B., 2000. La science de la nation? paradoxes politiques de la logique économique, l’Harmattan, Paris.

Watson, J., Crick, F., 1953. A structure for deoxyribose nucleic acid. Nature 171, 737-738.

Yamauchi, I., 1986. Long range strategic planning in Japanese R&D, in: Freeman, C., (Ed.), Design, Innovation and Long Cycles in Economic Development. Pinter, London, pp. 169-185.

Whitley, R. D., 1984. The Intellectual and Social Organization of the Sciences. Oxford University Press, Oxford.

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