IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/65211.html
   My bibliography  Save this paper

Mapping digital businesses with big data: some early findings from the UK

Author

Listed:
  • Nathan, Max
  • Rosso, Anna

Abstract

Governments around the world want to develop their ICT industries. Researchers and policymakers thus need a clear picture of digital businesses, but conventional datasets and typologies tend to lag real-world change. We use innovative ‘big data’ resources to perform an alternative analysis for all active companies in the UK, focusing on ICT-producing firms. Exploiting a combination of observed and modelled variables, we develop a novel ‘sector-product’ approach and use text mining to provide further detail on key sector-product cells. We find that the ICT production space is around 42% larger than SIC-based estimates, with around 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, 2015. "Mapping digital businesses with big data: some early findings from the UK," LSE Research Online Documents on Economics 65211, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:65211
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/65211/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. William Lehr, 2012. "Measuring the Internet: The Data Challenge," OECD Digital Economy Papers 194, OECD Publishing.
    4. 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.
    5. Rodrik, Dani, 2004. "Industrial Policy for the Twenty-First Century," CEPR Discussion Papers 4767, C.E.P.R. Discussion Papers.
    6. Oecd, 2013. "Measuring the Internet Economy: A Contribution to the Research Agenda," OECD Digital Economy Papers 226, OECD Publishing.
    7. 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.
    8. Nicholas Bloom & Raffaella Sadun & John Van Reenen, 2012. "Americans Do IT Better: US Multinationals and the Productivity Miracle," American Economic Review, American Economic Association, vol. 102(1), pages 167-201, February.
    9. 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.
    10. 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.
    11. Hal R. Varian, 2014. "Big Data: New Tricks for Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 3-28, Spring.
    12. 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.
    13. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    14. Harrison, Ann E. & Rodriguez-Clare, Andres, 2009. "Trade, Foreign Investment, and Industrial Policy," MPRA Paper 15561, University Library of Munich, Germany.
    15. 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.
    16. 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.
    17. Audretsch, David B & Feldman, Maryann P, 1996. "R&D Spillovers and the Geography of Innovation and Production," American Economic Review, American Economic Association, vol. 86(3), pages 630-640, June.
    18. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    19. Jeremy Ginsberg & Matthew H. Mohebbi & Rajan S. Patel & Lynnette Brammer & Mark S. Smolinski & Larry Brilliant, 2009. "Detecting influenza epidemics using search engine query data," Nature, Nature, vol. 457(7232), pages 1012-1014, February.
    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. Ben Spigel, 2022. "Examining the cohesiveness and nestedness entrepreneurial ecosystems: evidence from British FinTechs," Small Business Economics, Springer, vol. 59(4), pages 1381-1399, December.
    2. 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.
    3. Cassetta, Ernesto & Marra, Alessandro & Pozzi, Cesare & Antonelli, Paola, 2017. "Emerging technological trajectories and new mobility solutions. A large-scale investigation on transport-related innovative start-ups and implications for policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 1-11.
    4. Turrell, Arthur & Thurgood, James & Djumalieva, Jyldyz & Copple, David & Speigner, Bradley, 2018. "Using online job vacancies to understand the UK labour market from the bottom-up," Bank of England working papers 742, Bank of England.
    5. Max Nathan & Anna Rosso, 2017. "Innovative events," Development Working Papers 429, Centro Studi Luca d'Agliano, University of Milano, revised 08 Apr 2019.
    6. Ben Spigel & Fumi Kitagawa & Colin Mason, 2020. "A manifesto for researching entrepreneurial ecosystems," Local Economy, London South Bank University, vol. 35(5), pages 482-495, August.
    7. Margherita Russo & Annalisa Caloffi & Ana Colovic & Pasquale Pavone & Saverio Romeo & Federica Rossi, 2021. "Mapping the distribution of Internet of Things competences across European regions," Working Papers 57, Birkbeck Centre for Innovation Management Research, revised Dec 2021.
    8. Occhini, Giulia & Tranos, Emmanouil & Wolf, Levi John, 2023. "Measuring a country’s digital industrial structure: commercial websites and weakly supervised classification to the rescue," SocArXiv h572n, Center for Open Science.
    9. Kuebart, Andreas, 2022. "Open creative labs as functional infrastructure for entrepreneurial ecosystems: Using sequence analysis to explore tempo-spatial trajectories of startups in Berlin," Research Policy, Elsevier, vol. 51(9).
    10. Margherita Russo & Annalisa Caloffi & Ana Colovic & Pasquale Pavone & Saverio Romeo & Federica Rossi, 2022. "Mapping regional strengths in a key enabling technology: The distribution of Internet of Things competences across European regions," Papers in Regional Science, Wiley Blackwell, vol. 101(4), pages 875-900, August.
    11. Stern, Nicholas & Sivropoulos-Valero, Anna Valero, 2021. "Innovation, growth and the transition to net-zero emissions," LSE Research Online Documents on Economics 114385, London School of Economics and Political Science, LSE Library.
    12. Christoph Stich & Emmanouil Tranos & Max Nathan, 2023. "Modeling clusters from the ground up: A web data approach," Environment and Planning B, , vol. 50(1), pages 244-267, January.
    13. Nathan, Max & Rosso, Anna, 2022. "Innovative events: product launches, innovation and firm performance," Research Policy, Elsevier, vol. 51(1).
    14. Nicholas Stern & Anna Valero, 2021. "Innovation, growth and the transition to net-zero emissions," CEP Discussion Papers dp1773, Centre for Economic Performance, LSE.
    15. Nicholas Stern & Anna Valero, 2021. "Innovation, growth and the transition to net-zero emissions," POID Working Papers 008, Centre for Economic Performance, LSE.
    16. Neil Lee & Stephen Clarke, 2017. "Who gains from high-tech growth? High-technology multipliers, employment and wages in Britain," SPRU Working Paper Series 2017-14, SPRU - Science Policy Research Unit, University of Sussex Business School.
    17. Wen Chen, 2023. "Digital economy development, corporate social responsibility and low‐carbon innovation," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(4), pages 1664-1679, July.
    18. Stern, Nicholas & Valero, Anna, 2021. "Innovation, growth and the transition to net-zero emissions," Research Policy, Elsevier, vol. 50(9).
    19. Josh Martin & Rebecca Riley, 2023. "Productivity measurement - Reassessing the production function from micro to macro," Working Papers 033, The Productivity Institute.
    20. Occhini, Giulia & Tranos, Emmanouil & Wolf, Levi John, 2023. "Occupational segregation in the digital economy? A Natural Language Processing approach using UK Web Data," SocArXiv z8xta, Center for Open Science.
    21. Tian, Meng & Chen, Yang & Tian, Guanghao & Huang, Wei & Hu, Chuan, 2023. "The role of digital transformation practices in the operations improvement in manufacturing firms: A practice-based view," International Journal of Production Economics, Elsevier, vol. 262(C).

    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. Max Nathan & Anna Rosso, 2014. "Mapping Information Economy Businesses with Big Data: Findings for the UK," CEP Occasional Papers 44, Centre for Economic Performance, LSE.
    2. 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.
    3. 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.
    4. Max Nathan & Anna Rosso, 2017. "Innovative events," Development Working Papers 429, Centro Studi Luca d'Agliano, University of Milano, revised 08 Apr 2019.
    5. 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.
    6. 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.
    7. Tuhkuri, Joonas, 2016. "Forecasting Unemployment with Google Searches," ETLA Working Papers 35, The Research Institute of the Finnish Economy.
    8. Serena Ng, 2017. "Opportunities and Challenges: Lessons from Analyzing Terabytes of Scanner Data," NBER Working Papers 23673, National Bureau of Economic Research, Inc.
    9. Mario F Carillo, 2021. "Agricultural Policy and Long-Run Development: Evidence from Mussolini's Battle for Grain," The Economic Journal, Royal Economic Society, vol. 131(634), pages 566-597.
    10. Tuhkuri, Joonas, 2016. "ETLAnow: A Model for Forecasting with Big Data – Forecasting Unemployment with Google Searches in Europe," ETLA Reports 54, The Research Institute of the Finnish Economy.
    11. Böhme, Marcus H. & Gröger, André & Stöhr, Tobias, 2020. "Searching for a better life: Predicting international migration with online search keywords," Journal of Development Economics, Elsevier, vol. 142(C).
    12. T. Gries & R. Grundmann & I. Palnau & M. Redlin, 2017. "Innovations, growth and participation in advanced economies - a review of major concepts and findings," International Economics and Economic Policy, Springer, vol. 14(2), pages 293-351, April.
    13. Bentzen, Jeanet Sinding, 2021. "In crisis, we pray: Religiosity and the COVID-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 541-583.
    14. Prasanna Tambe & Lorin M. Hitt, 2014. "Job Hopping, Information Technology Spillovers, and Productivity Growth," Management Science, INFORMS, vol. 60(2), pages 338-355, February.
    15. Marcela Meléndez Arjona & Guillermo Perry, 2009. "Industrial policies in Colombia," Working Papers Series. Documentos de Trabajo 9138, Fedesarrollo.
    16. Oestmann Marco & Bennöhr Lars, 2015. "Determinants of house price dynamics. What can we learn from search engine data?," Review of Economics, De Gruyter, vol. 66(1), pages 99-127, April.
    17. 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.
    18. Georg von Graevenitz & Christian Helmers & Valentine Millot & Oliver Turnbull, 2016. "Does Online Search Predict Sales? Evidence from Big Data for Car Markets in Germany and the UK," Working Papers 71, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    19. Matthias Firgo & Peter Mayerhofer, 2015. "Wissensintensive Unternehmensdienste, Wissens-Spillovers und regionales Wachstum. Teilprojekt 1: Wissens-Spillovers und regionale Entwicklung – Welche strukturpolitische Ausrichtung optimiert das Wach," WIFO Studies, WIFO, number 58342, April.
    20. 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.

    More about this item

    Keywords

    Big Data; Text mining; ICTs; Digital economy; Industrial policy; Firm-level analysis;
    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:65211. 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.