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International Linkages and National Innovation Rates: An Exploratory Probe1

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  • Mark Zachary Taylor

Abstract

The conventional wisdom among political economists holds that domestic institutions determine national innovation rates. However, after decades of research, there is still no agreement on precisely which domestic institutions matter or exactly how they affect innovation rates. Anecdotal observations within the research on institutions suggest that international linkages may be the missing piece to the national innovation rate puzzle. An exploratory probe is therefore performed here using regression analysis of various measures of innovation, domestic institutions, and international linkages. The results suggest that countries' relationships with the lead innovator strongly affect their innovation rates. The probe further suggests that research should move beyond institutions and linkages, and should focus instead on their political origins. That is, the current focus on institutions or linkages studies effects, not causes. It fails to get at the politics of technological change: the fundamental choices which nations must make in order to innovate successfully in the long run.

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  • Mark Zachary Taylor, 2009. "International Linkages and National Innovation Rates: An Exploratory Probe1," Review of Policy Research, Policy Studies Organization, vol. 26(1‐2), pages 127-149, January.
    • Handle: RePEc:bla:revpol:v:26:y:2009:i:1-2:p:127-149
    DOI: 10.1111/j.1541-1338.2008.00372.x
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    Cited by:

    1. Obrimah, Oghenovo A., 2024. "Measuring Innovativeness: A ranking of the ordinal utility from consumption is more robust than either of ‘outcomes of commercialization’ or patent counts," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 603-616.
    2. Feng-Shang Wu & Hong-Ji Huang, 2024. "Why Do Some Countries Innovate Better than Others? A New Perspective of Science, Technology, and Innovation Policy Regimes and National Absorptive Capacity," Sustainability, MDPI, vol. 16(7), pages 1-30, March.
    3. Shu-Hao Chang, 2017. "The evolutionary growth estimation model of international cooperative patent networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 711-729, August.
    4. Irina Ervits & Malgorzata Zmuda, 2018. "A cross-country comparison of the effects of institutions on internationally oriented innovation," Journal of International Entrepreneurship, Springer, vol. 16(4), pages 486-503, December.
    5. Chung, Doohee & Jung, Haejun & Lee, Yunjeong, 2022. "Investigating the relationship of high-tech entrepreneurship and innovation efficacy: The moderating role of absorptive capacity," Technovation, Elsevier, vol. 111(C).

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