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The dynamics of technological congruence

Author

Listed:
  • Cristiano Antonelli

    (Collegio Carlo Alberto, Università Di Torino and BRICK (Bureau of Research in Innovation Complexity and Knowledge))

  • Christophe Feder

    (Dipartimento Di Scienze Economiche E Politiche, Università Della Valle d’Aosta
    BRICK (Bureau of Research in Innovation Complexity and Knowledge))

Abstract

Technological congruence examines the alignment between output elasticity and relative input costs and its effects on the contingent efficiency of new technologies. The introduction of biased technological change is driven by the relative levels of input costs. In capital-abundant countries, the adoption of new capital-intensive (labor-intensive) technologies leads to an increase in output with a corresponding rise in the output elasticity of capital (labor). This paper explores the endogenous determinants and effects of technological congruence dynamics. Growth raises wages and reduces capital costs, creating a Schumpeterian loop where the new wage-to-capital cost ratio induces new directed technological changes to boost productivity. An empirical analysis using Penn World Table (PWT) data for 136 countries from 1991 to 2019 supports these findings. The policy implications stress the role and hence the need to control the bias of technological innovations to foster growth. The alignment of factor costs is crucial for effective technology transfer and global competitiveness. Since the efficiency of new technologies depends on factor costs, international technology transfer has positive effects only if and when technological congruence increases.

Suggested Citation

  • Cristiano Antonelli & Christophe Feder, 2025. "The dynamics of technological congruence," The Journal of Technology Transfer, Springer, vol. 50(3), pages 779-796, June.
    • Handle: RePEc:kap:jtecht:v:50:y:2025:i:3:d:10.1007_s10961-024-10156-9
    DOI: 10.1007/s10961-024-10156-9
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    1. Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
    2. Lawrence F. Katz & Kevin M. Murphy, 1992. "Changes in Relative Wages, 1963–1987: Supply and Demand Factors," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(1), pages 35-78.
    3. Cristiano Antonelli & Christophe Feder, 2020. "Total factor productivity, catch-up and technological congruence in Italy, 1861–2010," Journal of Evolutionary Economics, Springer, vol. 30(4), pages 1171-1194, September.
    4. Cristiano Antonelli, 2006. "Diffusion as a Process of Creative Adoption," The Journal of Technology Transfer, Springer, vol. 31(2), pages 211-226, March.
    5. Schumpeter, Joseph A., 1947. "The Creative Response in Economic History," The Journal of Economic History, Cambridge University Press, vol. 7(2), pages 149-159, November.
    6. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    7. Comin, Diego & Mestieri, Martí, 2014. "Technology Diffusion: Measurement, Causes, and Consequences," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 2, pages 565-622, Elsevier.
    8. Paola Criscuolo & Rajneesh Narula, 2008. "A novel approach to national technological accumulation and absorptive capacity: aggregating Cohen and Levinthal," The European Journal of Development Research, Taylor and Francis Journals, vol. 20(1), pages 56-73.
    9. Diego Comin & William Easterly & Erick Gong, 2010. "Was the Wealth of Nations Determined in 1000 BC?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(3), pages 65-97, July.
    10. Diego Comin & Martí Mestieri, 2018. "If Technology Has Arrived Everywhere, Why Has Income Diverged?," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(3), pages 137-178, July.
    11. Abramovitz, Moses, 1986. "Catching Up, Forging Ahead, and Falling Behind," The Journal of Economic History, Cambridge University Press, vol. 46(2), pages 385-406, June.
    12. Comin, D. & Hobijn, B., 2004. "Cross-country technology adoption: making the theories face the facts," Journal of Monetary Economics, Elsevier, vol. 51(1), pages 39-83, January.
    13. Diego Comin & Bart Hobijn, 2010. "An Exploration of Technology Diffusion," American Economic Review, American Economic Association, vol. 100(5), pages 2031-2059, December.
    14. Cristiano Antonelli & Francesco Quatraro, 2010. "The effects of biased technological change on total factor productivity: empirical evidence from a sample of OECD countries," The Journal of Technology Transfer, Springer, vol. 35(4), pages 361-383, August.
    15. Daron Acemoglu, 2002. "Directed Technical Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(4), pages 781-809.
    16. Cristiano Antonelli, 2016. "A Schumpeterian growth model: wealth and directed technological change," The Journal of Technology Transfer, Springer, vol. 41(3), pages 395-406, June.
    17. Diego A. Comin & Martí Mestieri, 2010. "An Intensive Exploration of Technology Diffusion," NBER Working Papers 16379, National Bureau of Economic Research, Inc.
    18. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    19. Daron Acemoglu, 2003. "Labor- And Capital-Augmenting Technical Change," Journal of the European Economic Association, MIT Press, vol. 1(1), pages 1-37, March.
    20. Zuleta, Hernando, 2012. "Variable factor shares, measurement and growth accounting," Economics Letters, Elsevier, vol. 114(1), pages 91-93.
    21. Alejandro Bengoa & Amaia Maseda & Txomin Iturralde & Gloria Aparicio, 2021. "A bibliometric review of the technology transfer literature," The Journal of Technology Transfer, Springer, vol. 46(5), pages 1514-1550, October.
    22. Antonelli, Cristiano, 2016. "Technological congruence and the economic complexity of technological change," Structural Change and Economic Dynamics, Elsevier, vol. 38(C), pages 15-24.
    23. Antonelli, Cristiano & Feder, Christophe, 2020. "The new direction of technological change in the global economy," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 1-12.
    24. Christophe Feder, 2018. "A measure of total factor productivity with biased technological change," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 27(3), pages 243-253, April.
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    Keywords

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    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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