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Technological Diffusion: The Viewpoint of Economic Theory

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  • Stoneman, P. L.

Abstract

Technological diffusion is the process by which innovations (be they new products, new processes or new management methods) spread within and across economies. Some understanding of the process of technological diffusion is essential if we are to gain any insight into the processes of economic growth and development, for, whatever the emphasis has been in the past in research and public policy, it is the application of innovations (diffusion) rather than the generation of innovations (invention or R & D) that leads to the realisation of benefits from technological advance
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  • Stoneman, P. L., 1985. "Technological Diffusion: The Viewpoint of Economic Theory," Economic Research Papers 269236, University of Warwick - Department of Economics.
    • Handle: RePEc:ags:uwarer:269236
    DOI: 10.22004/ag.econ.269236
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    Cited by:

    1. Holwegler, Bernhard, 2000. "Implikationen der Technologiediffusion für technologische Arbeitslosigkeit," Violette Reihe: Schriftenreihe des Promotionsschwerpunkts "Globalisierung und Beschäftigung" 13/2000, University of Hohenheim, Carl von Ossietzky University Oldenburg, Evangelisches Studienwerk.
    2. Hurmekoski, Elias & Jonsson, Ragnar & Nord, Tomas, 2015. "Context, drivers, and future potential for wood-frame multi-story construction in Europe," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 181-196.
    3. Nancy L. Rose & Paul L. Joskow, 1990. "The Diffusion of New Technologies: Evidence from the Electric Utility Industry," RAND Journal of Economics, The RAND Corporation, vol. 21(3), pages 354-373, Autumn.
    4. Almaz Mustafin & Aliya Kantarbayeva, 2021. "Resource competition and technological diversity," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-37, November.
    5. Alcon, Francisco & De Miguel, María Dolores & Burton, Michael P., 2008. "Adopción de tecnología de distribución y control del agua en las Comunidades de Regantes de la Región de Murcia," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 8(01), pages 1-19.
    6. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2021. "Interactive R&D Spillovers: an estimation strategy based on forecasting-driven model selection," Working Papers hal-03224910, HAL.
    7. Nijkamp, P. & Rietveld, P., 1986. "Technological development and regional labour markets," Serie Research Memoranda 0038, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    8. Blackman, Allen, 1999. "The Economics of Technology Diffusion: Implications for Climate Policy in Developing Countries," Discussion Papers 10574, Resources for the Future.
    9. Rui Baptista, 1999. "The Diffusion of Process Innovations: A Selective Review," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 6(1), pages 107-129.
    10. Gioldasis, Georgios & Musolesi, Antonio & Simioni, Michel, 2023. "Interactive R&D spillovers: An estimation strategy based on forecasting-driven model selection," International Journal of Forecasting, Elsevier, vol. 39(1), pages 144-169.
    11. Schade, Christian & Köllinger, Philipp, 2004. "Adoption of e-business: patterns and consequences of network externalities," Papers 2004,05, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
    12. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2021. "Interactive R&D Spillovers: An estimation strategy based on forecasting-driven model selection," SEEDS Working Papers 0621, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jun 2021.
    13. Fuentelsaz, Lucio & Gomez, Jaime & Polo, Yolanda, 2003. "Intrafirm diffusion of new technologies: an empirical application," Research Policy, Elsevier, vol. 32(4), pages 533-551, April.
    14. Carlos Pablo Sigüenza & Bernhard Steubing & Arnold Tukker & Glenn A. Aguilar‐Hernández, 2021. "The environmental and material implications of circular transitions: A diffusion and product‐life‐cycle‐based modeling framework," Journal of Industrial Ecology, Yale University, vol. 25(3), pages 563-579, June.

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