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Knowledge diffusion and industry growth: the case of Japan’s early cotton spinning industry

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  • Serguey Braguinsky

Abstract

The diffusion of technological knowledge is key to industry growth. But not all knowledge is created equal. I use a nanoeconomic approach to examine knowledge diffusion-based growth in the Meiji-era Japanese cotton spinning industry, which enjoyed remarkable success after a decade of initial failure. By tracing sources of technological knowledge to individual engineers, I find that successful technology diffusion required the right kind of human capital embodying and transmitting knowledge, and a competitive environment that rewarded talent while weeding out incompetence.

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  • Serguey Braguinsky, 2015. "Knowledge diffusion and industry growth: the case of Japan’s early cotton spinning industry," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(4), pages 769-790.
    • Handle: RePEc:oup:indcch:v:24:y:2015:i:4:p:769-790.
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    4. Song, Haoyang & Hou, Jianhua & Zhang, Yang, 2022. "Catalytic capacity of technological innovation: Multidimensional definition and measurement from the perspective of knowledge spillover," Technology in Society, Elsevier, vol. 68(C).
    5. Nicholas S. Argyres & Alfredo De Massis & Nicolai J. Foss & Federico Frattini & Geoffrey Jones & Brian S. Silverman, 2020. "History‐informed strategy research: The promise of history and historical research methods in advancing strategy scholarship," Strategic Management Journal, Wiley Blackwell, vol. 41(3), pages 343-368, March.

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