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Technology exchange patterns in China: an analysis of regional data

Author

Listed:
  • Yuandi Wang
  • Xin Pan
  • Lutao Ning
  • Jian Li
  • Jin Chen
Abstract
There is much interest in technology exchange in the literature, but relatively little research directly provides understanding of technology exchange patterns at a regional level within a country. This study uses a unique dataset of Chinese patent licensing to study technology exchange patterns in thirty Chinese provinces since 2000. Our results indicate that five distinct technology exchange patterns have recently emerged in China: importers, exporters, self-sustainers, active generalists, and isolationists. To illustrate a refined map of these exchange patterns, we used a blockmodel analysis. We found two leading blocks in China that are active in technology exchange within and across blocks. Although many less-developed provinces have begun participating in regional technology exchange networks, the scale of technology exchange in these provinces is lower, and they are more active as net technology importers. Our results provide the basis for firms to form technology strategies and for governors to promote the growth of regional technology exchanges. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • 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.
    • Handle: RePEc:kap:jtecht:v:40:y:2015:i:2:p:252-272
    DOI: 10.1007/s10961-014-9338-y
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    2. Zhijun Feng & Hechang Cai & Wen Zhou, 2020. "Structural Characteristics and Spatial Patterns of the Technology Transfer Network in the Guangdong–Hong Kong–Macao Greater Bay Area," Sustainability, MDPI, vol. 12(6), pages 1-28, March.
    3. Chen, Guanghua & Yang, Guoliang & He, Feng & Chen, Kaihua, 2019. "Exploring the effect of political borders on university-industry collaborative research performance: Evidence from China’s Guangdong province," Technovation, Elsevier, vol. 82, pages 58-69.
    4. Naubahar Sharif, 2018. "To License or Sell: A Study on the Patent Transaction Modes in China," HKUST IEMS Working Paper Series 2018-51, HKUST Institute for Emerging Market Studies, revised Jan 2018.
    5. Losacker, Sebastian, 2022. "‘License to green’: Regional patent licensing networks and green technology diffusion in China," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    6. Lei Ye & Ting Zhang & Xianzhong Cao & Senlin Hu & Gang Zeng, 2024. "Mapping the landscape of university technology flows in China using patent assignment data," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    7. Tang, Chenghui & Qiu, Peng & Dou, Jianmin, 2022. "The impact of borders and distance on knowledge spillovers — Evidence from cross-regional scientific and technological collaboration," Technology in Society, Elsevier, vol. 70(C).
    8. Dezhong Duan & Yang Zhang & Ying Chen & Debin Du, 2019. "Regional Integration in the Inter-City Technology Transfer System of the Yangtze River Delta, China," Sustainability, MDPI, vol. 11(10), pages 1-19, May.
    9. Carolin Bock & Christian Hackober, 2020. "Unicorns—what drives multibillion-dollar valuations?," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 949-984, November.
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    More about this item

    Keywords

    Technology exchange; Patent; Technology licensing; Regional patterns; China; O33; R11;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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