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Output Insecurity and Ownership Disputes as Barriers to Technology Diffusion

Author

Listed:
  • Oscar Camacho

    (Drexel University)

  • Michelle Garfinkel

    (University of California, Irvine)

  • Constantinos Syropoulos

    (Drexel University)

  • Yoto Yotov

    (Drexel University)

Abstract

This paper examines both the desirability and feasibility of technology transfers in a setting where institutions governing the security of output or income are imperfect. Based on a guns-versus-butter model involving two countries (a technology leader and a technology laggard), our analysis characterizes how global efficiency and the countries' preferences over transfers depend on the nature of technology, as well as on the initial technological distance between them and the degree of output security. In the case of a general-purpose technology the leader might refuse a transfer, whereas in the case of a sector-specific technology the laggard might have such an incentive. Notably, for both types of technology, our analysis reveals the possible emergence of a "low-technology trap," wherein a technology transfer to the laggard is more likely to be blocked precisely when the laggard's initial technology is sufficiently inferior to its rival. We explore how the degree of output security and the laggard's capacity to absorb state-of-the-art technology affect the range of technological distances that generate such traps for each type of technology.

Suggested Citation

  • Oscar Camacho & Michelle Garfinkel & Constantinos Syropoulos & Yoto Yotov, 2022. "Output Insecurity and Ownership Disputes as Barriers to Technology Diffusion," School of Economics Working Paper Series 2022-10, LeBow College of Business, Drexel University.
  • Handle: RePEc:ris:drxlwp:2022_010
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    Cited by:

    1. Elias Dinopoulos & Constantinos Syropoulos & Theofanis Tsoulouhas, 2023. "Global Innovation Contests," Games, MDPI, vol. 14(1), pages 1-24, February.
    2. Issa, Helmi & Jaber, Jad & Lakkis, Hussein, 2024. "Navigating AI unpredictability: Exploring technostress in AI-powered healthcare systems," Technological Forecasting and Social Change, Elsevier, vol. 202(C).

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    Keywords

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    JEL classification:

    • D30 - Microeconomics - - Distribution - - - General
    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions
    • F51 - International Economics - - International Relations, National Security, and International Political Economy - - - International Conflicts; Negotiations; Sanctions
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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