| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w27723 |
| 来源ID | Working Paper 27723 |
| Data-intensive Innovation and the State: Evidence from AI Firms in China | |
| Martin Beraja; David Y. Yang; Noam Yuchtman | |
| 发表日期 | 2020-08-24 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | Developing AI technology requires data. In many domains, government data far exceeds in magnitude and scope data collected by the private sector, and AI firms often gain access to such data when providing services to the state. We argue that such access can stimulate commercial AI innovation in part because data and trained algorithms are shareable across government and commercial uses. We gather comprehensive information on firms and public security procurement contracts in China’s facial recognition AI industry. We quantify the data accessible through contracts by measuring public security agencies’ capacity to collect surveillance video. Using a triple-differences strategy, we find that data-rich contracts, compared to data-scarce ones, lead recipient firms to develop significantly and substantially more commercial AI software. Our analysis indicates a contribution of government data to the rise of China’s facial recognition AI firms, and suggests that states’ data collection and provision policies could shape AI innovation. |
| 主题 | Macroeconomics ; Public Economics ; Public Goods ; Industrial Organization ; Regulatory Economics ; Industry Studies ; Development and Growth ; Innovation and R& ; D ; Growth and Productivity ; Other ; Economic Systems ; Culture |
| URL | https://www.nber.org/papers/w27723 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/585395 |
| 推荐引用方式 GB/T 7714 | Martin Beraja,David Y. Yang,Noam Yuchtman. Data-intensive Innovation and the State: Evidence from AI Firms in China. 2020. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w27723.pdf（1456KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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