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Regional Technology Development Path in an Open Developing Economy: Evidence from China

Author

Listed:
  • Tieli Li

    (Guangdong University of Foreign Studies)

  • Miao Fu

    (UCD - University College Dublin [Dublin])

  • Xiaolan Fu

    (Dept of International Development - University of Oxford)

Abstract

This paper explores the paths of regional technology development in a large open developing economy. Findings from the research based on Chinese data suggest a differentiated approach to regional technology development. In technologically advanced regions, indigenous R&D plays a more important role than learning by doing while in backward regions the latter becomes more important. Interregional technology transfer is found to have a more significant impact on regional technology development than foreign direct investment and its effect intensifies when the technology level of the recipient region is close to the technological frontier. R&D plays a key role in both the assimilation of foreign technologies in advanced regions and the assimilation of interregional technology transfer; learning by doing only affects the latter.

Suggested Citation

  • Tieli Li & Miao Fu & Xiaolan Fu, 2011. "Regional Technology Development Path in an Open Developing Economy: Evidence from China," Post-Print hal-00768583, HAL.
    • Handle: RePEc:hal:journl:hal-00768583
    DOI: 10.1080/00036846.2011.617701
    Note: View the original document on HAL open archive server: https://hal.science/hal-00768583
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    2. KARGI, Bilal, 2014. "Portfolio in Turkish Economy, and A Long Termed Relation Between Foreign Direct Investments and The Growth, and The Structural Breakage Analysis (1980-2012)," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 6(1), pages 70-81.
    3. Shuai Liu & Xiao-Yu Xu & Kai Zhao & Li-Ming Xiao & Qi Li, 2021. "Understanding the Complexity of Regional Innovation Capacity Dynamics in China: From the Perspective of Hidden Markov Model," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
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    6. Sansi Yang & C. Richard Shumway, 2020. "Knowledge accumulation in US agriculture: research and learning by doing," Journal of Productivity Analysis, Springer, vol. 54(2), pages 87-105, December.

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