A quantitative study of disruptive technology policy texts: An example of China’s artificial intelligence policy
, e | 10 giu 2024
INFORMAZIONI SU QUESTO ARTICOLO
Article Category: Research Papers
Pubblicato online: 10 giu 2024
Pagine: -
Ricevuto: 06 feb 2024
Accettato: 24 mag 2024
DOI: https://doi.org/10.2478/jdis-2024-0016
Parole chiave
© 2024 Ying Zhou et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Figure 1.
Figure 2.
Figure 3.
Figure 4.
Figure 5.
Figure 6.
Figure 7.
Distribution of policy topics across different time periods.
| Time Windows | Optimal number of topics | Final number of topics | Topic Tags |
|---|---|---|---|
| 2017 | 11 | 8 | Core Technology of Manufacturing Industry; Intelligent Traffic; Transformation of Scientific and Technological Achievements of Universities; Intelligent Medical Construction; Product Testing Technology; Technical Talents in the Field of Unmanned Aerial Vehicles; Research and Development of Key Technologies and Information Security; Autonomous Driving Technology |
| 2018 | 13 | 9 | Intelligent Photovoltaic Industry; Rural Revitalization; Technological Innovation and Achievement Transformation; Virtual Reality Technology; Network and Information Security; Medical Informatization Energy Intelligent Supervision; Industrial Intelligent Management Platform; Education Informatization |
| 2019 | 14 | 10 | Intelligent Robotics; Elderly Health Products; New Generation Innovative Technology Research; Data Open Sharing; Health Care Aids; Product Quality Monitoring; Enterprise Technology Innovation Ecology; New Model of Shared Manufacturing; Digital Rural Development; AI Technician Training |
| 2020 | 16 | 13 | Energy Saving and Environmental Protection Development; Elderly Health Monitoring; Public Healthcare; Service-oriented Manufacturing Development; Digitization of Cultural Industry; Blockchain Technology Research; Talent and Technical Support; Intelligent Transportation Collaborative Innovation; Supporting and Guiding Enterprise Innovation; International Talent Cooperation and Exchanges; Scientific and Technological Achievement Transformation; Internet Industrial Technology; Data Resource Sharing |
| 2021 | 16 | 12 | Intelligent Community and Intelligent Elderly; Intelligent Medical Care; Intellectual Property Rights; Data Sharing Platform Construction; Digital Home; Data Industry Development; Intelligent Manufacturing; Data Security Management; Industrial Data Factor Development; Blockchain Industry Innovation; New Energy Technology; Internet Communication Technology |
| 2022 | 13 | 9 | Intelligent Capacity Technology Breakthrough;Intelligent Elderly; Emergency Hazardous Intelligent Devices; Data Security in Industrialization and Informatization; Intelligent Communities; AI Scenario Innovation; High-Quality Intelligent Development in Industry and Agriculture; Machine Learning and Algorithmic Models; Intelligence Talent Cultivation |
Classification and interpretation of policy tools.
| Types | Names | Implications |
|---|---|---|
| Supply-side | Capital Investment | The government supports AI R&D and industrialization through the establishment of special funds |
| Talent Cultivation | The government strengthens AI education and training through the development of talent development program | |
| Infrastructure | The government provides data, computing power, platforms, and other resources through the establishment of AI infrastructure | |
| Public Services | The government promotes the application of AI in social governance, public security, healthcare, and other fields through the provision of public services | |
| Technology Project Support | The government encourages cross-border integration of AI with other fields through support for science and technology programs | |
| Environmental | Goal Programming | The government clarifies development objectives, key areas, and division of tasks through the formulation of AI development plans |
| Tax Incentives | The government reduces the burden on AI enterprises and individuals through the implementation of tax incentives | |
| Regulatory Control | The government regulates safety, ethics, privacy, and other aspects of AI through the formulation of regulations and controls | |
| Policy Incentives | The government rewards AI innovations and outstanding contributions through policy incentives | |
| Finance | The government guides social capital to invest in the AI industry through the provision of financial services | |
| Demand-side | Government Procurement | The government drives market demand through the procurement of AI products and services |
| Pilot Demonstration | The government promotes advanced applications of AI through pilot demonstrations | |
| Open Cooperation | The government promotes domestic and international AI exchanges and cooperation through openness and cooperation | |
| Commercialization of Scientific and Research Findings | The government accelerates the process of AI from lab to market through the promotion of the transformation of scientific and technological achievements | |
| Scenario Application | The government stimulates the innovation potential of AI through the creation of scenario applications |
Results of policy tool classification.
| Types | Names | Reference Points | Sub-item share (%) | Total share (%) |
|---|---|---|---|---|
| Supply-side | Capital Investment | 89 | 18.54 | 39.02 |
| Talent Cultivation | 113 | 23.54 | ||
| Infrastructure | 127 | 26.46 | ||
| Public Services | 97 | 20.21 | ||
| Technology Project Support | 54 | 11.25 | ||
| Environmental | Goal Programming | 121 | 23.87 | 41.22 |
| Tax Incentives | 114 | 22.49 | ||
| Regulatory Control | 64 | 12.62 | ||
| Policy Incentives | 99 | 19.53 | ||
| Finance | 109 | 21.50 | ||
| Demand-side | Government Procurement | 48 | 19.75 | 19.76 |
| Pilot Demonstration | 41 | 16.87 | ||
| Open Cooperation | 32 | 13.17 | ||
| Commercialization of Scientific and Research Findings | 66 | 27.16 | ||
| Scenario Application | 56 | 23.05 | ||
| Total | - | 1,230 | - | - |