OECD Science, Technology and Industry Scoreboard

English
Frequency
Biennial
ISSN: 
2072-5345 (online)
ISSN: 
1562-983X (print)
http://dx.doi.org/10.1787/20725345
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The biennial OECD Science, Technology and Industry (STI) Scoreboard features indicators traditionally used to monitor developments in science, technology, innovation and industry, and complements them with experimental indicators that provide new insights into areas of policy interest. These include: investment in knowledge-based capital, skills in the digital era, the international mobility of researchers, the digital transformation in firms and industries, innovation strategies, the internationalisation of research, changing patterns in trade competitiveness and productivity, as well as the use of technology in everyday life.

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OECD Science, Technology and Industry Scoreboard 2017

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OECD Science, Technology and Industry Scoreboard 2017

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Author(s):
OECD
22 Nov 2017
Pages:
260
ISBN:
9789264268821 (EPUB) ; 9789264268814 (PDF) ;9789264268807(print)
http://dx.doi.org/10.1787/9789264268821-en

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With some 200 indicators, the 2017 edition of the OECD Science, Technology and Industry (STI) Scoreboard shows how the digital transformation affects science, innovation, the economy, and the way people work and live. It aims to help governments design more effective science, innovation and industry policies in the fast-changing digital era.

The charts and underlying data in this publication are available for download and over half the indicators contain additional data expanding the time and/or country coverage of the print edition.

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Expand / Collapse Hide / Show all Abstracts Table of Contents

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  • Foreword

    The OECD Science, Technology and Industry Scoreboard 2017 draws on the latest internationally comparable data to uncover the strengths of the OECD and other leading economies, and shows how the digital transformation is affecting science, innovation, the economy, and the way people work and live. It aims to help governments design more effective science, innovation and industry policies in the fast-changing digital era.

  • Reader's guide
  • Executive summary

    Mobility, cloud computing, the Internet of Things (IoT), artificial intelligence (AI) and big data analytics are among the most important technologies in the digital economy today. Collectively they are enabling a future of “smart everything”, and empowering businesses, consumers and society as a whole. The OECD Science, Technology and Industry Scoreboard 2017 shows how the digital transformation is affecting science, innovation, the economy, and the way people work and live. It aims to help governments design more effective science, innovation and industry policies in the fast-changing digital era. Below are key insights from the report, with a specific focus on digital trends among all the other themes covered.

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  • Expand / Collapse Hide / Show all Abstracts Knowledge economies and the digital transformation

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    • Science, innovation and the digital revolution

      Fixed and mobile broadband subscriptions continue to grow apace. The number of worldwide fixed broadband subscriptions increased by 72% in the last ten years, from 531.8 million in 2010 to 916.7 million in 2016. In OECD countries, fixed broadband subscriptions increased from 307.3 million in 2010 to 386.8 million in 2016, an increase of 26%. Mobile broadband growth by far outstripped fixed broadband with worldwide subscriptions increasing from 824.5 million in 2010 to 3 864 million in 2016. At the end of 2016, just over half the world’s population had a mobile broadband subscription. By way of contrast, the average for OECD countries was 99.3%. The pace of change can be rapid, however. Mobile broadband subscriptions in non-OECD countries registered a nine-fold increase over the last decade, with India adding almost 100 million broadband subscriptions in 2016 alone.

    • Growth, jobs and the digital transformation

      Production is being transformed by advances in fields such as big data, 3D printing, machine-to-machine communication and robots. Comparable and representative data for 2015 on the deployment of industrial robot technologies, for example, show that Korea and Japan lead in terms of robot intensity (i.e. the industrial stock of robots over manufacturing value added). Robot intensity in these economies is about three times that of the average OECD country. Selected Eastern European countries also emerge as intensive robot users, perhaps mirroring their specialisation within manufacturing value chains and their possible role as suppliers of large multinational corporations. Robot intensity in Czech Republic, Hungary, the Slovak Republic and Slovenia has increased three to six times since 2005, considerably above the average growth rate for OECD or EU28 countries (+29% and 54%, respectively). Robot intensity in BRICS economies has also increased, while remaining relatively low compared to OECD countries. In particular, robot intensity in China increased from 23% to 88% of that of the United States. However, these figures should be interpreted with caution, since the indicators are based on the quantity of robots active in an economy at a specific moment and do not capture changes in the effectiveness or quality of robots over time.

    • Innovation today: Taking action

      Today’s digital economy is characterised by connectivity between users and between devices, as well as the convergence of formerly distinct parts of communication ecosystems such as fixed and wireless networks, voice and data, and telecommunications and broadcasting. The Internet and connected devices have become a crucial part of most individuals’ everyday life in OECD countries and emerging economies. The share of Internet users in OECD countries grew on average by 30 percentage points over the last ten years (85% in 2016 as compared to 56% in 2005), and more than doubled in the cases of Greece, Mexico and Turkey. Over 50% of 16-74 year olds in Brazil, China and South Africa use the Internet today, narrowing the gap with OECD countries. Some economies are reaching saturation (uptake by nearly 100% of individuals), while there remains significant potential for catch-up in others, especially lower income countries.

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  • Expand / Collapse Hide / Show all Abstracts Knowledge, talent and skills

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    • Investment in knowledge

      OECD based on OECD (2017), Education at a Glance 2017: OECD Indicators, OECD Publishing, Paris. See chapter notes.

    • Higher education and basic research

      OECD, Main Science and Technology Indicators Database, http://oe.cd/msti, July 2017. StatLink contains more data. See chapter notes.

    • The science and engineering workforce

      OECD, based on OECD (2017), Education at a Glance 2017: OECD Indicators and OECD (2007), Education at a Glance 2007: OECD Indicators, OECD Publishing, Paris. StatLink contains more data. See chapter notes.

    • Researchers

      OECD, Main Science and Technology Indicators Database, http://oe.cd/msti, July 2017. StatLink contains more data. See chapter notes.

    • Skills in the digital era

      OECD calculations based on OECD PISA 2015 Database, July 2017. StatLink contains more data. See chapter notes.

    • Returns to ICT skills

      OECD calculations based on the OECD Programme for International Assessment of Adult Competencies (PIAAC) Database, June 2017. See chapter notes.

    • Knowledge capital

      OECD calculations based on the OECD Programme for International Assessment of Adult Competencies (PIAAC) Database, June 2017. See chapter notes.

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  • Expand / Collapse Hide / Show all Abstracts Research excellence and collaboration

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    • Research excellence and specialisation

      OECD calculations based on Scopus Custom Data, Elsevier, Version 4.2017; and 2015 Scimago Journal Rank from the Scopus journal title list (accessed June 2017), July 2017. StatLink contains more data. See chapter notes.

    • Excellence in scientific collaboration

      OECD calculations based on Scopus Custom Data, Elsevier, Version 4.2017, July 2017. StatLink contains more data. See chapter notes.

    • International mobility of the highly skilled

      OECD, based on OECD (2017), Education at a Glance 2017: OECD Indicators, OECD Publishing, Paris. See chapter notes.

    • Scientists on the move

      OECD calculations based on Scopus Custom Data, Elsevier, Version 4.2017, July 2017. StatLink contains more data. See chapter notes.

    • The globalisation of R&D

      OECD, Research and Development Statistics Database, http://oe.cd/rds, June 2017. StatLink contains more data. See chapter notes.

    • Inventions across borders

      OECD, STI Micro-data Lab: Intellectual Property Database, http://oe.cd/ipstats, June 2017. StatLink contains more data. See chapter notes.

    • Collaboration on innovation

      International comparability may be limited due to differences in innovation survey methodologies and country-specific response patterns. European countries follow harmonised survey guidelines with the CIS.

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  • Expand / Collapse Hide / Show all Abstracts Innovation in firms

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    • Business R&D

      OECD, Main Science and Technology Indicators Database, http://oe.cd/msti, July 2017. StatLink contains more data. See chapter notes.

    • Top R&D players

      OECD calculations based on JRC-OECD, COR&DIP© Database v.1., June 2017. Statlink contains more data. See chapter notes.

    • IP bundles

      OECD, STI Micro-data Lab: Intellectual Property Database, http://oe.cd/ipstats, June 2017. StatLink contains more data. See chapter notes.

    • ICT and innovation

      OECD, ANBERD Database, http://oe.cd/anberd, and Research and Development Statistics Database, http://oe.cd/rds, June 2017. StatLink contains more data. See chapter notes.

    • Mixed modes of innovation

      International comparability may be limited due to differences in innovation survey methodologies and country-specific response patterns. European countries follow harmonised survey guidelines with the Community Innovation Survey.

    • R&D tax incentives

      OECD, R&D Tax Incentive Indicators, http://oe.cd/rdtax, July 2017. StatLink contains more data. See chapter notes.

    • Policy environment and demand for innovation

      OECD, based on OECD (2017a), Entrepreneurship at a Glance 2017, OECD Publishing. Paris. See chapter notes.

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  • Expand / Collapse Hide / Show all Abstracts Leadership and competitiveness

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    • R&D specialisation

      OECD calculations based on the ANBERD Database, http://oe.cd/anberd, the National Accounts (SNA) Database, the Structural Analysis (STAN) Database, http://oe.cd/stan, Main Science and Technology Indicators Database, http://oe.cd/msti, and Research and Development Statistics Database, http://oe.cd/rds, June 2017. See chapter notes.

    • E-business uptake

      OECD, ICT Access and Usage by Businesses Database, http://oe.cd/bus, July 2017. StatLink contains more data. See chapter notes.

    • E-business across applications and sectors

      OECD, ICT Access and Usage by Businesses Database, http://oe.cd/bus, July 2017. StatLink contains more data. See chapter notes.

    • Start-up dynamics

      OECD calculations based on the DynEmp v.2 and v.3 Databases, preliminary data, http://oe.cd/dynemp, July 2017. StatLink contains more data. See chapter notes.

    • Technological advantage

      OECD, STI Micro-data Lab: Intellectual Property Database, http://oe.cd/ipstats, June 2017. StatLink contains more data. See chapter notes.

    • Participation in global value chains

      OECD estimates based on Trade in Value Added (TiVA) Database, http://oe.cd/tiva, Inter-Country Input-Output (ICIO) Database, http://oe.cd/icio, Bilateral Trade Database by Industry and End-use (BTDIxE), http://oe.cd/btd, Annual National Accounts Database, www.oecd.org/std/na, and most recent national Supply and Use Tables and Input Output Tables, April 2017. StatLink contains more data. See chapter notes.

    • Trade and jobs

      OECD calculations based on Inter-Country Input-Output (ICIO) Database, http://oe.cd/icio, Annual National Accounts Database, www.oecd.org/std/na, Structural Analysis (STAN) Database, http://oe.cd/stan, Trade in Employment (TiM), http://oe.cd/io-empn; World Input-Output Database (WIOD) and national sources, June 2017. StatLink contains more data. See chapter notes.

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  • Expand / Collapse Hide / Show all Abstracts Society and the digital transformation

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    • Connectivity

      OECD, Broadband Portal, www.oecd.org/sti/broadband/oecdbroadbandportal.htm, July 2017. StatLink contains more data. See chapter notes.

    • Digital natives

      OECD calculations based on OECD PISA 2015 Database, July 2017. StatLink contains more data.

    • Internet users

      OECD, ICT Access and Usage by Households and Individuals Database, http://oe.cd/hhind; ITU, World Telecommunication/ICT Indicators Database and national sources, June 2017. StatLink contains more data. See chapter notes.

    • Users' sophistication

      OECD, ICT Access and Usage by Households and Individuals Database, http://oe.cd/hhind, June 2017. See chapter notes.

    • E-consumers across borders

      OECD, based on Eurostat, Digital Economy and Society Statistics, Comprehensive Database, July 2017. StatLink contains more data. See chapter notes.

    • E-government

      OECD, ICT access and use database, (households and individuals), http://oe.cd/hhind (accessed in June 2017). StatLink contains more data. See chapter notes.

    • Trust

      OECD, based on Eurostat, Digital Economy and Society Statistics, Comprehensive Database, July 2017. See chapter notes.

    • Data sources

      For information on Measuring Science, Technology and Innovation at the OECD, see http://oe.cd/sti-stats

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