跨国企业与税务机关 转让定价指南 2017
| Autor principal: | |
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| Autor Corporativo: | |
| Formato: | Libro electrónico |
| Idioma: | Chino |
| Publicado: |
Paris :
OECD Publishing
2020.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009703609606719 |
Tabla de Contenidos:
- Intro
- Foreword
- Acknowledgements
- Acronyms, abbreviations and units of measure
- Executive Summary
- Digitalisation and science
- Realising the untapped potential of digital technology in policy
- Digitalisation and innovation in firms
- Developing digital skills
- Committing to public sector research
- Building expertise in government
- 1 An overview of key developments and policies
- Introduction
- Why does digitalisation matter?
- The broader context in which science, technology and innovation are digitalising
- Measuring the digitalisation of science and innovation Digitalisation, science and science policy
- Accessing scientific information
- Enhancing access to research data
- Broadening engagement with science
- Artificial intelligence for science
- Recent drivers of AI in science
- AI can also combine with robot systems to perform scientific research
- Digitalisation and innovation in firms
- Does innovation policy need to be adapted for the digital age?
- Ensuring access to data for innovation
- Providing the right support and incentives for innovation and entrepreneurship
- Ensuring that innovation ecosystems support competition Supporting collaboration for innovation
- Digitalisation and the next production revolution
- AI in production
- New materials and nanotechnology
- Developing digital skills
- Education and training systems must draw on information from all social partners
- New courses and curricula may be needed
- Lifelong learning must be an integral part of work
- Facilitating the diffusion of digital technologies and tools
- New digital technologies may make diffusion more difficult
- Institutions for diffusion can be effective, if well designed Technology diffusion institutions need realistic goals and time horizons
- Committing to public sector research
- Multidisciplinary research
- Public-private research partnerships
- Developing technology- and sector-specific capabilities in government
- Ensuring access to complementary infrastructures
- Improving digital security
- Examining intellectual property systems in light of digitalisation
- Optimising digital systems to strengthen science and innovation policies
- Ensuring interoperability in DSIP systems
- Using DSIP systems in research assessment The roles of the business sector in DSIP
- The outlook for DSIP systems
- Digitalisation in science and innovation: Possible "dark sides"
- Distributional effects and digitalisation of STI
- Complex systems and unmanageable machine ecologies
- Negative impacts on science from digitalisation
- Wider risks linked to digital technology
- The untapped potential of digital technology for STI policy
- Prediction markets for STI policy
- Prediction using human-machine combinations
- Blockchain for science, technology and innovation
- Using social media to spread innovation
- Conclusion
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