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China’s catching-up in artificial intelligence seen as a co-evolution of corporate and national innovation systems

Lundvall, Bengt-Åke, Rikap, Cecilia·2022·Research Policy

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  1. Adner, 2016, Innovation ecosystems and the pace of substitution: re-examining technology S-curves, Strateg. Manage. J., 37, 625, 10.1002/smj.2363 · DOI
  2. Ahmed, N., Wahed, M., 2020. The De-democratization of AI: deep learning and the compute divide in artificial intelligence research. arXiv:arXiv:2010.15581. · arXiv
  3. Azmeh, 2020, The international trade regime and the quest for free digital trade, Int. Stud. Rev., 22, 671, 10.1093/isr/viz033 · DOI
  4. Bâlgăr, 2020, Foreign direct investments–key factors of the technology transfer to China, Glob. Econ. Obser., 20
  5. Buckley, 2018, A retrospective and agenda for future research on Chinese outward foreign direct investment, J. Int. Bus. Stud., 49, 4, 10.1057/s41267-017-0129-1 · DOI
  6. Dosi, 2019, Whither the evolution of the contemporary social fabric? New technologies and old socio-economic trends, Int. Labour Rev., 158, 593, 10.1111/ilr.12145 · DOI
  7. Ernst, D., 2016. China's Bold Strategy for Semiconductors–Zero-Sum Game or Catalyst for Cooperation? East-West Center Working Papers: innovation and Economic Growth Series. · DOI
  8. Fagerberg, 2011, Christopher Freeman: social science entrepreneur, Res. Policy, 40, 897, 10.1016/j.respol.2011.06.011 · DOI
  9. Freeman, 2002, Continental, national and sub-national innovation systems—Complementarity and economic growth, Res. Policy, 31, 191, 10.1016/S0048-7333(01)00136-6 · DOI
  10. Freeman, 1982, Technological infrastructure and international competitiveness, Ind. Corp. Change, 13, 541, 10.1093/icc/dth022 · DOI
  11. Freeman, C., Louçã, F., 2002. The Emergence of a New Techno-Economic Paradigm: the Age of Information and Communication Technology (ICT). As Time Goes By–From the Industrial Revolutions to the Information Revolution 318–324. · DOI
  12. Frost, 2019, BigTech and the changing structure of financial intermediation, Bank of Int. Settl.
  13. Fu, 2018, Reverse knowledge acquisition in emerging market MNEs: the experiences of Huawei and ZTE, J. Bus. Res., 93, 202, 10.1016/j.jbusres.2018.04.022 · DOI
  14. Fu, 2016, Technological innovation policy in China: the lessons, and the necessary changes ahead, Econ. Change Restruct., 49, 139, 10.1007/s10644-016-9186-x · DOI
  15. Gawer, 2014, Industry platforms and ecosystem innovation, J. Prod. Innovat. Manage., 31, 417, 10.1111/jpim.12105 · DOI · Paper page
  16. Gereffi, 2014, Global value chains in a post-Washington Consensus world, Rev. Int. Polit. Econ., 21, 9, 10.1080/09692290.2012.756414 · DOI · Paper page
  17. Gereffi, 2005, The governance of global value chains, Rev. Int. Polit. Econ., 12, 78, 10.1080/09692290500049805 · DOI · Paper page
  18. Gereffi, G., Korzeniewicz, M., Korzeniewicz, R.P., 1994. Global commodity chains, in: commodity Chains and Global Capitalism. pp. 1–14.
  19. Gu, 2016, China's innovation system and the move toward harmonious growth and endogenous innovation, Learn. Econ. Econ. Hope, 18, 269
  20. Gu, 2006, China's innovation system and the move toward harmonious growth and endogenous innovation, Learn. Econ. Econ. Hope, 269
  21. Heaton, 2020, Profiting from enabling technologies?, Strateg. Sci.
  22. Hong, 2015, Colonial legacies and peripheral strategies: social-spatial logic of China’s communications development since 1840, Glob. Media Commun., 11, 89, 10.1177/1742766515588415 · DOI
  23. Jacobides, 2021, The evolutionary dynamics of the artificial intelligence ecosystem, Strateg. Sci., 10.1287/stsc.2021.0148 · DOI
  24. Jacobides, 2006, Benefiting from innovation: value creation, value appropriation and the role of industry architectures, Res. Policy, 35, 1200, 10.1016/j.respol.2006.09.005 · DOI
  25. Jensen, 2007, Forms of knowledge and modes of innovation, Learn. Econ. Econ. Hope, 155
  26. Jurowetzki, 2018, Combining innovation systems and global value chains for development: towards a research agenda, Eur. J. Dev. Res., 30, 364, 10.1057/s41287-018-0137-4 · DOI
  27. Lee, 2021, Is the fourth industrial revolution a continuation of the third industrial revolution or something new under the sun? analyzing technological regimes using US patent data, Ind. Corp. Change, 30, 137, 10.1093/icc/dtaa059 · DOI
  28. Li, 2012, Behind the recent surge of Chinese patenting: an institutional view, Res. Policy, 41, 236, 10.1016/j.respol.2011.07.003 · DOI
  29. Liu, 2017, Beyond catch-up—Can a new innovation policy help China overcome the middle income trap?, Sci. Public Policy, 44, 656, 10.1093/scipol/scw092 · DOI
  30. Mueller, M.L., 2011. China and global Internet governance: a tiger by the tail, in: access Contested: security, Identity, and Resistance in Asian Cyberspace. pp. 177–194. · DOI
  31. Nuvolari, 2019, Understanding successive industrial revolutions: a “development block” approach, Environ. Innov. Soc. Transit., 32, 33, 10.1016/j.eist.2018.11.002 · DOI
  32. Ponte, 2014, Explaining governance in global value chains: a modular theory-building effort, Rev. Int. Polit. Econ., 21, 195, 10.1080/09692290.2013.809596 · DOI
  33. Quan, 2017, Publish or impoverish: an investigation of the monetary reward system of science in China (1999-2016), Aslib J. Inf. Manage., 10.1108/AJIM-01-2017-0014 · DOI
  34. Rikap, 2020, Who collects intellectual rents from knowledge and innovation hubs? Questioning the sustainability of the Singapore model, Struct. Change Econ. Dyn., 10.1016/j.strueco.2020.06.004 · DOI
  35. Rikap, 2020, Big Tech, knowledge predation and the implications for development, Innov. Dev., 1
  36. Stallkamp, 2019, Platforms without borders? The international strategies of digital platform firms, Glob. Strateg. J.
  37. Testoni, 2021, Whose shoulders is health research standing on? Determining the key actors and contents of the prevailing biomedical research agenda, PLoS ONE, 16
  38. Tseng, 2009, Technological innovation in the BRIC economies, Res.-Technol. Manage., 52, 29
  39. Tsui, 2007, An inadequate metaphor: the great firewall and Chinese internet censorship, Glob. Dial., 9, 60
  40. Tylecote, 2010, Why do mainland Chinese firms succeed in some sectors and fail in others? A critical view of the Chinese system of innovation, Int. J. Learn. Intell. Capital, 7, 123
  41. Wójcik, 2015, Capitalist tools in socialist hands’? China Mobile in global financial networks, Trans. Instit. Br. Geogr., 40, 464, 10.1111/tran.12089 · DOI
  42. Zhang, D., Mishra, S., Brynjolfsson, E., Etchemendy, J., Ganguli, D., Grosz, B., Lyons, T., Manyika, J., Niebles, J.C., Sellitto, M., 2021. The AI Index 2021 Annual Report. arXiv:2103.06312. · arXiv
  43. Zhu, 2018, The future of artificial intelligence in China, Commun. ACM, 61, 44, 10.1145/3239540 · DOI

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