IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/60615.html
   My bibliography  Save this paper

Mapping information economy businesses with big data: findings from the UK

Author

Listed:
  • Nathan, Max
  • Rosso, Anna

Abstract

Governments around the world want to develop their ICT and digital industries. Policymakers thus need a clear sense of the size and characteristics of digital businesses, but this is hard to do with conventional datasets and industry codes. This paper uses innovative ‘big data’ resources to perform an alternative analysis at company level, focusing on ICT-producing firms in the UK (which the UK government refers to as the ‘information economy’). Exploiting a combination of public, observed and modelled variables, we develop a novel ‘sectorproduct’ approach and use text mining to provide further detail on the activities of key sector-product cells. On our preferred estimates, we find that counts of information economy firms are 42% larger than SIC-based estimates, with at least 70,000 more companies. We also find ICT employment shares over double the conventional estimates, although this result is more speculative. Our findings are robust to various scope, selection and sample construction challenges. We use our experiences to reflect on the broader pros and cons of frontier data use.

Suggested Citation

  • Nathan, Max & Rosso, Anna, 2014. "Mapping information economy businesses with big data: findings from the UK," LSE Research Online Documents on Economics 60615, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:60615
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/60615/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mendonca, Sandro & Pereira, Tiago Santos & Godinho, Manuel Mira, 2004. "Trademarks as an indicator of innovation and industrial change," Research Policy, Elsevier, vol. 33(9), pages 1385-1404, November.
    2. Liran Einav & Jonathan Levin, 2014. "The Data Revolution and Economic Analysis," Innovation Policy and the Economy, University of Chicago Press, vol. 14(1), pages 1-24.
    3. Nikolaos Askitas & Klaus F. Zimmermann, 2009. "Google Econometrics and Unemployment Forecasting," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 55(2), pages 107-120.
    4. Harrison, Ann E. & Rodriguez-Clare, Andres, 2009. "Trade, Foreign Investment, and Industrial Policy," MPRA Paper 15561, University Library of Munich, Germany.
    5. Jeremiah E. Dittmar, 2011. "Information Technology and Economic Change: The Impact of The Printing Press," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(3), pages 1133-1172.
    6. Bronwyn H. Hall & Christian Helmers & Mark Rogers & Vania Sena, 2013. "The importance (or not) of patents to UK firms," Oxford Economic Papers, Oxford University Press, vol. 65(3), pages 603-629, July.
    7. William Lehr, 2012. "Measuring the Internet: The Data Challenge," OECD Digital Economy Papers 194, OECD Publishing.
    8. Gilles Duranton & Diego Puga, 2001. "Nursery Cities: Urban Diversity, Process Innovation, and the Life Cycle of Products," American Economic Review, American Economic Association, vol. 91(5), pages 1454-1477, December.
    9. Timothy Besley & Miguel Coelho & John Van Reenen, 2013. "Investing for Prosperity: Skills, Infrastructure and Innovation," National Institute Economic Review, National Institute of Economic and Social Research, vol. 224(1), pages 1-13, May.
    10. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    11. Rodrik, Dani, 2004. "Industrial Policy for the Twenty-First Century," CEPR Discussion Papers 4767, C.E.P.R. Discussion Papers.
    12. Xiaolan Fu & Luc Soete (ed.), 2010. "The Rise of Technological Power in the South," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-27612-3.
    13. Erik Brynjolfsson & Lorin M. Hitt, 2003. "Computing Productivity: Firm-Level Evidence," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 793-808, November.
    14. Oecd, 2013. "Measuring the Internet Economy: A Contribution to the Research Agenda," OECD Digital Economy Papers 226, OECD Publishing.
    15. Harrison, Ann & Rodríguez-Clare, Andrés, 2010. "Trade, Foreign Investment, and Industrial Policy for Developing Countries," Handbook of Development Economics, in: Dani Rodrik & Mark Rosenzweig (ed.), Handbook of Development Economics, edition 1, volume 5, chapter 0, pages 4039-4214, Elsevier.
    16. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    17. Max Nathan & Henry Overman, 2013. "Agglomeration, clusters, and industrial policy," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 29(2), pages 383-404, SUMMER.
    18. Matthew Gentzkow & Jesse M. Shapiro, 2010. "What Drives Media Slant? Evidence From U.S. Daily Newspapers," Econometrica, Econometric Society, vol. 78(1), pages 35-71, January.
    19. Xuan Li & Yogesh A. Pai, 2010. "The Changing Geography of Innovation Activities: What do Patents Indicators Imply?," Palgrave Macmillan Books, in: Xiaolan Fu & Luc Soete (ed.), The Rise of Technological Power in the South, chapter 3, pages 69-85, Palgrave Macmillan.
    20. Hal R. Varian, 2014. "Big Data: New Tricks for Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 3-28, Spring.
    21. Karl Aiginger, 2007. "Industrial Policy: A Dying Breed or A Re-emerging Phoenix," Journal of Industry, Competition and Trade, Springer, vol. 7(3), pages 297-323, December.
    22. Sandner, Philipp G. & Block, Joern, 2011. "The market value of R&D, patents, and trademarks," Research Policy, Elsevier, vol. 40(7), pages 969-985, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alessandro Marra & Vittorio Carlei & Cristiano Baldassari, 2020. "Exploring networks of proximity for partner selection, firms' collaboration and knowledge exchange. The case of clean‐tech industry," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 1034-1044, March.
    2. Stathoulopoulos, Kostas & Mateos-Garcia, Juan, 2017. "Mapping without a map: Exploring the UK business landscape using unsupervised learning," SocArXiv ryxdk, Center for Open Science.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nathan, Max & Rosso, Anna, 2015. "Mapping digital businesses with big data: Some early findings from the UK," Research Policy, Elsevier, vol. 44(9), pages 1714-1733.
    2. Max Nathan & Anna Rosso, 2017. "Innovative events," Development Working Papers 429, Centro Studi Luca d'Agliano, University of Milano, revised 08 Apr 2019.
    3. Nathan, Max & Vandore, Emma, 2013. "Here be startups: exploring a young digital cluster in inner East London," LSE Research Online Documents on Economics 58424, London School of Economics and Political Science, LSE Library.
    4. Max Nathan & Emma Vandore, 2013. "Here Be Startups: Exploring a young digital cluster in Inner East London," SERC Discussion Papers 0146, Centre for Economic Performance, LSE.
    5. Max Nathan, 2013. "Top Team Demographics, Innovation and Business Performance: Findings from English Firms and Cities 2008-9," SERC Discussion Papers 0129, Centre for Economic Performance, LSE.
    6. Götz, Thomas B. & Knetsch, Thomas A., 2019. "Google data in bridge equation models for German GDP," International Journal of Forecasting, Elsevier, vol. 35(1), pages 45-66.
    7. Tuhkuri, Joonas, 2016. "Forecasting Unemployment with Google Searches," ETLA Working Papers 35, The Research Institute of the Finnish Economy.
    8. Nathan, Max & Rosso, Anna, 2022. "Innovative events: product launches, innovation and firm performance," Research Policy, Elsevier, vol. 51(1).
    9. Nathan, Max, 2013. "Top team demographics, innovation and business performance: findings from English firms and cities 2008-9," LSE Research Online Documents on Economics 59250, London School of Economics and Political Science, LSE Library.
    10. Vu, Khuong & Hartley, Kris, 2018. "Promoting smart cities in developing countries: Policy insights from Vietnam," Telecommunications Policy, Elsevier, vol. 42(10), pages 845-859.
    11. Marco Grazzi & Chiara Piccardo & Cecilia Vergari, 2020. "Concordance and complementarity in IP instruments," Industry and Innovation, Taylor & Francis Journals, vol. 27(7), pages 756-788, August.
    12. Crass, Dirk & Schwiebacher, Franz, 2013. "Do trademarks diminish the substitutability of products in innovative knowledge-intensive services?," ZEW Discussion Papers 13-061, ZEW - Leibniz Centre for European Economic Research.
    13. Marcela Meléndez Arjona & Guillermo Perry, 2009. "Industrial policies in Colombia," Working Papers Series. Documentos de Trabajo 9138, Fedesarrollo.
    14. Blazquez, Desamparados & Domenech, Josep, 2018. "Big Data sources and methods for social and economic analyses," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 99-113.
    15. Francesco Macheda, 2022. "Industrial Policies and State-Owned Enterprises: The Foundations of China’s Path Towards Decarbonization," L'industria, Società editrice il Mulino, issue 4, pages 581-619.
    16. Åsa Johansson & Eduardo Olaberría, 2014. "Global Trade and Specialisation Patterns Over the Next 50 Years," OECD Economic Policy Papers 10, OECD Publishing.
    17. Shahid Yusuf, 2014. "There was once a Korean Model," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 28(2), pages 88-96, November.
    18. Jian Gao & Tao Zhou, 2017. "Quantifying China's Regional Economic Complexity," Papers 1703.01292, arXiv.org, revised Nov 2017.
    19. Lazzarini, Sérgio G., 2012. "Strategizing by the Government: Industrial Policy and Sustainable Competitive Advantage," Insper Working Papers wpe_289, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    20. Serena Ng, 2017. "Opportunities and Challenges: Lessons from Analyzing Terabytes of Scanner Data," NBER Working Papers 23673, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    Quantitative methods; firm-level analysis; Big Data; text mining; ICTs; digital economy; industrial policy;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ehl:lserod:60615. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.