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Regional technology development path in an open developing economy: evidence from China

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  • Tieli Li
  • Miao Fu
  • Xiaolan Fu

Abstract

This article 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 (FDI) 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.

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  • Tieli Li & Miao Fu & Xiaolan Fu, 2013. "Regional technology development path in an open developing economy: evidence from China," Applied Economics, Taylor & Francis Journals, vol. 45(11), pages 1405-1418, April.
    • Handle: RePEc:taf:applec:45:y:2013:i:11:p:1405-1418
    DOI: 10.1080/00036846.2011.617701
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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.
    4. Yuandi Wang & Xin Pan & Lutao Ning & Jian Li & Jin Chen, 2015. "Technology exchange patterns in China: an analysis of regional data," The Journal of Technology Transfer, Springer, vol. 40(2), pages 252-272, April.
    5. See, Kok Fong & Ma, Zhanxin & Tian, Yuzhen, 2023. "Examining the efficiency of regional university technology transfer in China: A mixed-integer generalized data envelopment analysis framework," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    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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