IDEAS home Printed from https://ideas.repec.org/p/nsr/escoed/escoe-dp-2020-03.html
   My bibliography  Save this paper

An Industry-Based Estimation Approach for Measuring the Cloud Economy

Author

Listed:
  • Christopher Hooton

Abstract

The usage of cloud computing technology in business and daily life has grown rapidly in recent years. However, measurement and research on the impacts of that usage remain relatively scarce and new. The current paper examines the economic contributions of cloud technology by estimating the size of the 'cloud economy' in the United States. The author uses input from cloud industry experts and product line receipt details to identify specific commercial receipts related to the cloud industry. The author then uses an adapted input-output methodology previously employed by other groups examining the size of the technology sector to estimate the economic size of the cloud in terms of Output, Earnings, Employment, Value-Added, Direct-Effect Earnings, and Direct-Effect Employment. The estimates are simply a starting point for measuring the economic size of the cloud, but they compare favorably with other estimates from industry groups and private parties. The key advantage of the current paper is the detailing of a replicable approach to use in future research including a discussion of the identification criteria used by the consulting experts.

Suggested Citation

  • Christopher Hooton, 2020. "An Industry-Based Estimation Approach for Measuring the Cloud Economy," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-03, Economic Statistics Centre of Excellence (ESCoE).
    • Handle: RePEc:nsr:escoed:escoe-dp-2020-03
    as

    Download full text from publisher

    File URL: https://escoe-website.s3.amazonaws.com/wp-content/uploads/2020/07/15121119/ESCoE-DP-2020-03.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Diane Coyle & David Nguyen, 2018. "Cloud Computing and National Accounting," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-19, Economic Statistics Centre of Excellence (ESCoE).
    2. David Byrne & Carol Corrado & Daniel Sichel, 2020. "The Rise of Cloud Computing: Minding Your Ps, Qs and Ks," NBER Chapters, in: Measuring and Accounting for Innovation in the Twenty-First Century, pages 519-551, National Bureau of Economic Research, Inc.
    3. Oecd, 2013. "Electronic and Mobile Commerce," OECD Digital Economy Papers 228, OECD Publishing.
    4. Gordon, Robert J., 2018. "Declining American economic growth despite ongoing innovation," Explorations in Economic History, Elsevier, vol. 69(C), pages 1-12.
    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. Lichao Lin & Adrian Cheung, 2022. "Cloud economy and its relationship with China’s economy—a capital market-based approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-22, December.

    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. Coyle, Diane & Hampton, Lucy, 2024. "21st century progress in computing," Telecommunications Policy, Elsevier, vol. 48(1).
    2. Diane Coyle & Wendy Li, 2021. "The Data Economy: Market Size and Global Trade," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2021-09, Economic Statistics Centre of Excellence (ESCoE).
    3. Anderton, Robert & Jarvis, Valerie & Labhard, Vincent & Morgan, Julian & Petroulakis, Filippos & Vivian, Lara, 2020. "Virtually everywhere? Digitalisation and the euro area and EU economies," Occasional Paper Series 244, European Central Bank.
    4. Saeideh Sharifi fard & Ezhar Tamam & Md Salleh Hj Hassan & Moniza Waheed & Zeinab Zaremohzzabieh, 2016. "Factors affecting Malaysian university students’ purchase intention in social networking sites," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1182612-118, December.
    5. Ekaterina Prytkova, 2021. "ICT's Wide Web: a System-Level Analysis of ICT's Industrial Diffusion with Algorithmic Links," Jena Economics Research Papers 2021-005, Friedrich-Schiller-University Jena.
    6. Leong, Lai-Ying & Hew, Teck-Soon & Ooi, Keng-Boon & Chong, Alain Yee-Loong, 2020. "Predicting the antecedents of trust in social commerce – A hybrid structural equation modeling with neural network approach," Journal of Business Research, Elsevier, vol. 110(C), pages 24-40.
    7. Venturini, Francesco, 2022. "Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 220-243.
    8. Alin ZAMFIROIU & Mihai Liviu DESPA, 2013. "Reasons, Circumstances and Innovative Trends in Mobile Environments," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 17(2), pages 109-118.
    9. Yujuico, Emmanuel, 2015. "Considerations in the diffusion of a public traffic app for Metro Manila," Journal of Transport Geography, Elsevier, vol. 42(C), pages 48-56.
    10. Gur, K. & Chatzikyriakou, D. & Baschet, C. & Salomon, M., 2018. "The reuse of electrified vehicle batteries as a means of integrating renewable energy into the European electricity grid: A policy and market analysis," Energy Policy, Elsevier, vol. 113(C), pages 535-545.
    11. Mert Demirer & Diego Jimenez-Hernandez & Dean Li & Sida Peng, 2024. "Data, Privacy Laws and Firm Production: Evidence from the GDPR," Working Paper Series WP 2024-02, Federal Reserve Bank of Chicago.
    12. Jeeyeon Jeong & Yaeri Kim & Taewoo Roh, 2021. "Do Consumers Care About Aesthetics and Compatibility? The Intention to Use Wearable Devices in Health Care," SAGE Open, , vol. 11(3), pages 21582440211, August.
    13. Muhammad Irfan & Mohammad Farid Shamsudin & Noor Hadi, 2016. "How Important Is Customer Satisfaction? Quantitative Evidence from Mobile Telecommunication Market," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(6), pages 1-57, May.
    14. Banal-Estanol, Albert & Seldeslachts, Jo & Vives, Xavier, 2022. "Ownership Diversification and Product Market Pricing Incentives," CEPR Discussion Papers 17686, C.E.P.R. Discussion Papers.
    15. Mohammadbashir Sedighi & Hamideh Parsaeiyan & Yashar Araghi, 2021. "An Empirical Study of Intention to Continue Using of Digital Ride-hailing Platforms," The Review of Socionetwork Strategies, Springer, vol. 15(2), pages 489-515, November.
    16. David M. Byrne & Carol Corrado, 2017. "ICT Services and their Prices: What do they tell us about Productivity and Technology?," Finance and Economics Discussion Series 2017-015, Board of Governors of the Federal Reserve System (U.S.).
    17. Mohammad Saleem AL-SHURA & Abdelrahim M. ZABADI & Mohamad ABUGHAZALEH & Marwa A. ALHADI, 2018. "Critical Success Factors for Adopting Cloud Computing in the Pharmaceutical Manufacturing Companies," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 3(2), pages 123-137, December.
    18. Diane Coyle, 2021. "The idea of productivity," Working Papers 003, The Productivity Institute.
    19. Hennings, Christine & Herstatt, Cornelius, 2019. "Belief elicitation study: Identifying salient beliefs of patients towards the use of mHealth," Working Papers 107, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.
    20. Maksym Koghut & Omar AI-Tabbaa, 2021. "Exploring Consumers’ Discontinuance Intention of Remote Mobile Payments during Post-Adoption Usage: An Empirical Study," Administrative Sciences, MDPI, vol. 11(1), pages 1-33, February.

    More about this item

    Keywords

    Cloud computing; digital economy; national accounts; economic estimates;
    All these keywords.

    JEL classification:

    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

    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:nsr:escoed:escoe-dp-2020-03. 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: ESCoE Centre Manager (email available below). General contact details of provider: https://edirc.repec.org/data/escoeuk.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.