Data-intensive Innovation and the State: Evidence from AI Firms in China

Citations

Cited by:

1. Tamay Besiroglu & Nicholas Emery-Xu & Neil Thompson, 2022. "Economic impacts of AI-augmented R&D," Papers 2212.08198, arXiv.org, revised Jan 2023.
2. Igna, Ioana & Venturini, Francesco, 2023. "The determinants of AI innovation across European firms," Research Policy, Elsevier, vol. 52(2).
   • Igna, Ioana & Venturini, Francesco, 2022. "The determinants of AI innovation across European firms," Papers in Innovation Studies 2022/3, Lund University, CIRCLE - Centre for Innovation Research.
3. Hao, Xuejing & Hu, Feng & Li, Zhu, 2024. "Entrepreneur-investor gender match effects in startup funding: Evidence from an entrepreneurial-themed reality TV show in China," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 811-832.
4. Mary Merva & Adrian Stoian & Simona Costagli, 2021. "Effective information, political structure and economic growth," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 29(4), pages 597-620, October.
5. Ding, Jeffrey, 2022. "Techno-industrial Policy for New Infrastructure: China’s Approach to Promoting Artificial Intelligence as a General Purpose Technology," Institute on Global Conflict and Cooperation, Working Paper Series qt1sb844ws, Institute on Global Conflict and Cooperation, University of California.
6. Marioni, Larissa da Silva & Rincon-Aznar, Ana & Venturini, Francesco, 2024. "Productivity performance, distance to frontier and AI innovation: Firm-level evidence from Europe," Journal of Economic Behavior & Organization, Elsevier, vol. 228(C).
7. Li, Dongdong & Gui, Mingxia & Ma, Rui & Feng, Yiwen, 2024. "Public data accessibility and corporate maturity mismatch: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).
8. Xiaolin Yu & Kai Wan, 2025. "Public data openness and carbon emission reduction in administrative boundary areas," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 74(2), pages 1-30, June.
9. Christian Peukert & Florian Abeillon & Jérémie Haese & Franziska Kaiser & Alexander Staub, 2024. "Strategic Behavior and AI Training Data," CESifo Working Paper Series 11099, CESifo.
10. Christian Peukert & Florian Abeillon & J'er'emie Haese & Franziska Kaiser & Alexander Staub, 2024. "Strategic Behavior and AI Training Data," Papers 2404.18445, arXiv.org.
11. Freeman, Richard B. & Yang, Buyuan & Zhang, Baitao, 2023. "Data deepening and nonbalanced economic growth," Journal of Macroeconomics, Elsevier, vol. 75(C).
12. Daron Acemoglu & Asuman Ozdaglar & James Siderius, 2025. "Artificial Intelligence and Political Economy," NBER Chapters, in: The Political Economy of Artificial Intelligence, National Bureau of Economic Research, Inc.
13. Martin Beraja & Noam Yuchtman, 2025. "Generalized Disruption: Society, Work, and Property Rights in the Age of AI," NBER Chapters, in: The Political Economy of Artificial Intelligence, National Bureau of Economic Research, Inc.
14. Jiang, Chun & Li, Shihan & Shen, Qi, 2024. "Science and technology evaluation reform and universities’ innovation performance," Technology in Society, Elsevier, vol. 78(C).
15. Chakraborty, Pavel & Chakrabarti, Anindya S. & Chatterjee, Chirantan, 2023. "Cross-border environmental regulation and firm labor demand," Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
16. David Karpa & Torben Klarl & Michael Rochlitz, 2021. "Artificial Intelligence, Surveillance, and Big Data," Bremen Papers on Economics & Innovation 2108, University of Bremen, Faculty of Business Studies and Economics.
    • David Karpa & Torben Klarl & Michael Rochlitz, 2021. "Artificial Intelligence, Surveillance, and Big Data," Papers 2111.00992, arXiv.org.
17. Naudé, Wim & Dimitri, Nicola, 2021. "Public Procurement and Innovation for Human-Centered Artificial Intelligence," IZA Discussion Papers 14021, Institute of Labor Economics (IZA).
18. Yang, Liu & Li, Ran, 2024. "Government procurement and corporate investment efficiency: Evidence from China," Finance Research Letters, Elsevier, vol. 67(PB).
19. Catherine E. Tucker, 2023. "The Economics of Privacy: An Agenda," NBER Chapters, in: The Economics of Privacy, National Bureau of Economic Research, Inc.
20. Besiroglu, Tamay & Emery-Xu, Nicholas & Thompson, Neil, 2024. "Economic impacts of AI-augmented R&D," Research Policy, Elsevier, vol. 53(7).
21. Yan Wang & Ping Han, 2023. "Digital Transformation, Service-Oriented Manufacturing, and Total Factor Productivity: Evidence from A-Share Listed Companies in China," Sustainability, MDPI, vol. 15(13), pages 1-24, June.
22. repec:ocp:ppaper:pb10-24 is not listed on IDEAS
23. Ma, Rui & Guo, Fei & Li, Dongdong, 2024. "Can public data availability affect stock price crash risk? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 94(C).
24. Matheus Eduardo Leusin, 2022. "The Development of Al in Multinational Enterprises - Effects upon Technological Trajectories and Innovation Performance," Bremen Papers on Economics & Innovation 2201, University of Bremen, Faculty of Business Studies and Economics.
25. Tiago C. Peixoto & Otaviano Canuto, & Luke Jordan, 2024. "AI and the Future of Government: Unexpected Effects and Critical Challenges," Policy briefs on Economic Trends and Policies 2408, Policy Center for the New South.
26. Li, Yuetong & Wang, Xinyi & Zheng, Xiaojia, 2024. "Data assets and corporate sustainable development: evidence from ESG in China," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
27. Lee, Yong Suk & Kim, Taekyun & Choi, Sukwoong & Kim, Wonjoon, 2022. "When does AI pay off? AI-adoption intensity, complementary investments, and R&D strategy," Technovation, Elsevier, vol. 118(C).